Novel Carbazole-Triazole-Thioether Conjugates as Multifunctional Antimicrobial Agents against Phytopathogen

Novel Carbazole-Triazole-Thioether Conjugates as Multifunctional Antimicrobial Agents against Phytopathogen | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Novel Carbazole-Triazole-Thioether Conjugates as Multifunctional Antimicrobial Agents against Phytopathogen Awei Zhang, Huiyan Quan, Danqing Wang, Guangqin Yang, Haizhen Zhang, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7287080/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 06 Oct, 2025 Read the published version in Molecular Diversity → Version 1 posted 13 You are reading this latest preprint version Abstract Carbazole and triazole derivatives exhibit diverse biological activities and pharmacological properties. Herein, we report a series of novel 1,2,4-triazole thioethers containing carbazole moiety and evaluate their biological activities. The results showed that some titles exhibit excellent antibacterial activities against Xanthomonas axonopodis pv. citri ( Xac ) in vitro . In particular, E36 exhibits the most excellent antibacterial effect against Xac , with EC 50 values of 9.4 mg/L, which was significantly better than the control drugs Bismerthiazol (BMT, EC 50 values of 70.5 mg/L) and Thiodiazole-copper (TDC, EC 50 values of 96.0 mg/L). Meanwhile, E36 exhibits a significant in vivo effect against Xac , with the therapeutic and protective efficacy of 48.57% and 51.96%, respectively, at a concentration of 200 mg/L, which was superior to TDC and equivalent to BMT. Additionally, E36 also exhibits exciting antifungal activity against Verticillium dahliae . Our study further demonstrates that compound E36 attenuates the pathogenicity of Xac by suppressing bacterial motility and extracellular polysaccharide (EPS) production, while it enhances host disease resistance by upregulating the expression of the citrus rbcL protein, thereby promoting carbon fixation and improving photosynthetic efficiency. This work indicates that 1,2,4-triazole thioethers containing carbazole moiety has the potential to be developed as a novel germicide. synthesis 1 2 4-triazole thioethers carbazole Xac antibacterial activities Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 INTRODUCTION The effective management of citrus canker, caused by Xanthomonas axonopodis pv. citri ( Xac ), is crucial to ensure the productivity and sustainability of the citrus industry[ 1 , 2 ]. As one of the most devastating bacterial diseases affecting citrus plants, citrus canker can lead to significant economic losses if left uncontrolled [ 3 ]. Chemical control measures have played a pivotal role in the prevention and management of citrus canker. It offers a quick and effective solution to suppress the spread and severity of the disease[ 4 ]. However, long term use of traditional chemical pesticides has limitations including potential harm to the environment and the development of resistance in the pathogen[ 5 ]. Therefore, the development of novel high-efficiency and environmentally friendly bactericide has gained significant attention in recent years. 1,2,4-triazole thioethers and carbazole derivatives have attracted considerable attention in recent years due to their promising biological activities and potential applications[ 6 , 7 ] (Fig. 1 ). 1,2,4-triazole thioethers derivatives, possessing a triazole ring structure, have attracted attention as they exhibit a wide range of pharmacological activities. These compounds have demonstrated promising antimicrobial properties against bacteria, fungi, and parasites[ 6 – 14 ]. On the other hand, carbazole derivatives, which incorporate the carbazole structure, have emerged as potential candidates for the treatment of pathogen infections[ 15 – 17 ]. These derivatives have demonstrated improved antimicrobial activity against drug-resistant strains, highlighting their therapeutic potential in combating plant diseases[ 18 ]. Furthermore, the versatility of carbazole derivatives allows for modifications and optimizations to enhance their pharmacokinetic properties and reduce their adverse effects[ 19 ]. Inspired by these results, a series of novel 9-((5-(substitutethio)-4-phenyl-4 H -1,2,4-triazol-3-yl)methyl)-9 H -carbazole derivatives were designed and synthesized (Fig. 2 ). The incorporation of the carbazole structure into 1,2,4-triazole thioethers derivatives provides a versatile platform for the synthesis of new compounds with improved pharmacological profiles. The presence of the triazole ring offers potential interactions with various enzyme targets, making these compounds promising candidates for the development of antimicrobial, antifungal, and antiparasitic agents. MATERIALS AND METHODS Instruments and Chemicals. Chemicals. All the chemicals were purchased from commercial suppliers and used without further purification (unless stated otherwise). Ethyl 2-(9 H -carbazol-9-yl)acetate A and 2-(9 H -Carbazol-9-yl)acetohydrazide B were prepared according to the previous literatures.[ 20 ] Biomaterials. All the strains of bacteria and fungi were provided by the Laboratory of Plant Disease Control at Guizhou University. Instruments. NMR spectroscopic data were recorded with Bruker 400 MHz NMR spectrometer (400 MHz for 1 H and 100MHz 13 C) in DMSO- d 6 at room temperature, the following abbreviations were used in expressing the multiplicity: s, singlet; d, doublet; t, triplet; q, quartet and m, multiplet. chemical shift ( δ ) was reported in parts per million (ppm), and coupling constants were expressed in Hertz (Hz). Melting points were determined on a WRS-2 Microcomputer melting point instrument (uncorrected, Shanghai Yidian Physical Optics Instrument Co., Ltd.). HRMS-ESI spectra were measured by a Thermo Scientific Q Exactive series. General Synthesis Procedure for Title Compounds. The procedure for the synthesis of title compounds E1 - E36 are shown in Fig. 2 . 9 H -carbazole (2g, 11.48 mmol) and anhydrous K 2 CO 3 (2.48 g, 17.94 mmol) were combined in 15 ml dried DMF solution. And the reaction mixture was heated at 55 ℃ for 2 hours, allowing the components to react and form intermediate products. After cooling the system to room temperature, ethyl bromoacetate (2.2 g, 13.16 mmol) was dropwise added into the mixture, and the reaction proceeded for an additional 2 hours at room temperature. To facilitate the reaction, the mixture was then heated again at 55 ℃ for 1 hour. As the reaction reached its completion, the resulting mixture was poured into 80 ml of ice water and the intermediate A was separated. Intermediate A (2 g, 7.9 mmol) and 80% hydrazine hydrate (14.82 g, 236.87 mmol) were refluxed in 30mL absolute alcohol solution for 8h, then left the mixture at 4 ℃ overnight, and the intermediate B would separate from the cooled mixture. Intermediate C was obtained by refluxing intermediate B (1 g, 4.18 mmol) with isothiocyanatobenzene (0.68 g, 5.02 mmol) in 80mL absolute alcohol solution for 7h. Subsequently, intermediate 3 (0.6g, 1.6 mmol) was refluxed in a 20 ml solution of 10% K 2 CO 3 for 12 hours. Following the reflux, the reaction mixture was cooled to room temperature, and the pH was then adjusted to neutral using a 10% HCl solution. This pH adjustment resulted in the precipitation and separation of intermediate D from the combined mixture. Eventually, the target compounds E1 - E36 were prepared by thioetherification of intermediate D (0.8 g, 2.24 mmol) with different halogenated hydrocarbons (2.69 mmol) in a dry DMF solution with K 2 CO 3 (0.93 g, 6.73 mol) as acid-binding agent. The compounds were then obtained through column chromatography or recrystallization. Antibacterial Bioassay In Vitro . The antibacterial activities of title compounds in vitro were assessed using turbidimetric assays [ 21 , 22 ]. The samples tested include Bismerthiazol (BMT), Thiodiazole-copper (TDC), DMSO and all target compounds. The commercialized fungicides BMT (with a 90% active ingredient content) and TDC (with a 20% active ingredient content) were used as the positive controls, whereas DMSO in sterile distilled water was used as the negative control. Briefly, approximately 40 µ L of bacterial suspension was mixed with 5 mL of NB medium containing specified concentrations of test samples. Incubation occurred at 28°C with 180 rpm for 24–48 hours until the OD 595 of the DMSO control reached 0.6. OD 595 values of experimental groups were recorded, and bacteriostatic rates were calculated using the following formula. Inhibition rate I (%) = [(A C - A T ) / A C ] × 100 Where A C and A T represent OD 595 values of blank control and treatments, respectively. EC 50 values were determined using SPSS software. Anti-Xac Activity Assay In Vivo . The method for the anti- Xac activity assay in vivo was based on the literature previously reported [ 23 ]. Briefly, prepare the test compound into a solution with a concentration of 200 mg/L and evenly spray it to citrus leaves until droplets form. After 24 hours, puncture the citrus leaves using a sterile needle, and then apply sterile filter paper moistened with citrus canker bacterial solution to the wounded area. After 21 days of treatment, count the number of lesions on the citrus leaves and calculate the protective activities based on the occurrence of citrus canker lesions. For the therapeutic activity of the compounds, follow a similar procedure, except inoculate citrus leaves first and spray the compound 24 hours later. Each treatment should include 10–15 leaves, and the experiment were repeated three times. Antifungal Bioassay In Vitro . The antifungal bioassay method for the target compound utilizes the growth rate method [ 24 , 25 ]. The samples tested include Chlorothalonil, Carbendazim, DMSO and all target compounds. The commercialized fungicides Chlorothalonil and Carbendazim with a 50% active ingredient content were used as the positive controls, whereas DMSO in sterile distilled water was used as the negative control. Briefly, the testing samples were dissolved in a mixed solution of DMSO and water (10 mL), then diluted to the desired concentration with potato dextrose agar (PDA, 90.0 mL). Then, inoculate fungal cultures (5 mm) onto PDA agar plates and incubate the plates under controlled conditions (27 ± 1℃) for 3–5 days. Measure the radial growth of fungal colonies at regular intervals. Calculate the inhibition rate using the following formula. Inhibition rate I (%) = [(C − T) / (C − 0.5)] × 100 C is the diameter of fungal growth on agar containing DMSO, T is the diameter of fungal growth on treated agar, and I represents the inhibition rate. Each treatment condition consisted of three replicates. Growth Inhibition Test of Compound E36 on Xac. Growth inhibition assays were performed by inoculating single colonies of Xac from fresh agar plates into nutrient broth (NB) medium, followed by incubation at 28°C with 180 rpm orbital shaking until reaching mid-log phase (OD 600 ≈ 0.6). The cultures were then adjusted to an initial OD 600 of 0.1 and distributed into flasks containing NB medium supplemented with varying concentrations of E36 (0, 5, 10, and 20 mg/L), with triplicate cultures for each treatment condition. All cultures were incubated under identical conditions (28°C, 180 rpm), and bacterial growth was monitored spectrophotometrically at 4-hour intervals for 48 hours, using sterile NB medium as blank reference. Growth kinetics were analyzed by plotting OD 600 values against time to assess the concentration-dependent inhibitory effects of E36 on Xac proliferation. Determination of Extracellular Polysaccharide. The impact of compound E36 on exopolysaccharide (EPS) production was assessed refer to the literature previously reported [ 26 , 27 ]. Briefly, the Xac bacteria were cultured in 100 mL NB medium containing E36 (5, 10, and 20mg/L) until the logarithmic phase of growth. The control group without E36 was used as the negative control. The bacterial culture medium was centrifuged (12000 × g, 15 min, 4 ℃) to collect the supernatant, and 300 mL of cooled absolute alcohol was added to the filtrate. After thorough mixing, it was left to stand overnight at 4 ℃. The resulting precipitate was collected by centrifugation (8,000 × g, 30 min, 4°C) and subsequently dissolved in 1 mL of water. For quantitative analysis, 100 µL aliquots were subjected to phenol-sulfuric acid assay, involving sequential addition of 5% (w/v) phenol solution and concentrated sulfuric acid (500 µL) with immediate vortexing. After 30 min incubation at room temperature, absorbance was measured at 490 nm. A standard curve generated using glucose solutions (0-100 mg/L) enabled quantification of total carbohydrate content. All experiments were performed in triplicate to ensure reproducibility. Proteomic Analysis . The experiments and analysis of proteomics were completed by Shanghai Baiqu Biomedical Technology Co., Ltd. Here, we provided citrus leaves treated with DMSO and compound E36 after inoculation with Xac for 21 days. RESULTS AND DISCUSSION Chemistry. Synthetic routes of target compounds E1 − E36 were depicted in Scheme 1 . All the target compounds were fully characterized by 1 H NMR, 13 C NMR, and HRMS. Taking compound E1 as an example (dissolved in DMSO- d 6 ), a singlet at 4.27 and 5.66 ppm were assigned to the S-C H 2 and N-C H 2 proton signal in its 1 H NMR spectrum, respectively. In its 13 C NMR spectrum, two of the diagnostic aliphatic carbon signals were found at 38.07 and 36.62 ppm, respectively. Compound E1 exhibited an intense peak at m/z = 447.1629 in its mass spectrometry, assigned to the [M + H] + species. Antibacterial Activities of Title Compounds. The antibacterial activities toward four kinds of bacteria strains, including Xanthomonas axonopodis pv. Citri ( Xac ), Xanthomonas oryzae pv. orvzae ( Xoo ), Xanthomonas oryzae pv. oryzicola ( Xoc ), and Pseudomonas svringae pv. actinidiae ( Psa ), were tested using the turbidimetric method. Preliminary antibacterial results displayed that most of the target compounds exhibit moderate to excellent antibacterial activities in vitro (Table 1 ). Compounds E1 , E3 , E5 , E21 , and E36 could completely suppress the growth of Xac at 200 mg/L (the inhibition rate of 100%), which were better than those of BMT (89.8%) and TDC (64.2%). For anti- Xoo activity, compounds E1 , E25 , and E36 also showed specific antibacterial effects with the inhibition rate of 87.1, 70.3 and 100.0%, respectively. For anti- Xoc activites, compounds E1 , E25 , and E36 showed equivalent activity with the inhibition rate of 100.0, 98.5 and 93.3%, respectively. For anti-Psa activity, compounds E1 and E36 presented the corresponding rates of 100.0% and 98.7%, respectively, which were also superior to the inhibition rate of BMT (77.2%) and TDC (68.4%). Notably, only compound E36 displayed broad-spectrum biological effects on all tested fungi and bacteria. Additionally this type of compounds showed the most significant inhibitory effect on Xac . Table 1 Preliminary antibacterial activities of title compounds in vitro . a Inhibition rate a (%) Compd. Xac b Xoo b Xoc b Psa b 200 mg/L 100 mg/L 200 mg/L 100 mg/L 200 mg/L 100 mg/L 200 mg/L 100 mg/L E1 100.0 ± 2.9 85.3 ± 2.2 87.1 ± 2.8 32.1 ± 2.1 100.0 ± 4.7 75.9 ± 2.8 100.0 ± 1.3 43.5 ± 1.9 E2 46.5 ± 0.8 32.7 ± 0.9 42.0 ± 5.7 14.4 ± 1.6 87.9 ± 4.3 53.8 ± 2.1 42.8 ± 3.2 29.2 ± 0.1 E3 100.0 ± 2.6 76.8 ± 0.3 8.3 ± 1.8 3.4 ± 2.2 75.0 ± 5.1 66.7 ± 0.3 96.8 ± 1.7 60.2 ± 2.4 E4 62.6 ± 2.4 49.3 ± 3.4 30.5 ± 1.4 15.7 ± 1.8 79.1 ± 1.5 44.6 ± 3.8 54.4 ± 1.9 39.6 ± 2.7 E5 100.0 ± 3.2 61.4 ± 2.0 40.1 ± 2.7 8.2 ± 0.6 83.3 ± 3.3 49.1 ± 1.9 90.5 ± 0.7 39.6 ± 0.6 E6 70.5 ± 1.9 49.9 ± 1.2 7.9 ± 1.4 0 66.8 ± 2.6 53.1 ± 1.3 39.1 ± 1.3 29.3 ± 1.3 E7 67.8 ± 0.3 33.5 ± 4.5 53.9 ± 3.6 29.2 ± 1.1 66.3 ± 1.1 55.1 ± 2.7 63.4 ± 1.3 34.2 ± 0.5 E8 24.8 ± 4.2 12.6 ± 2.6 17.6 ± 1.6 15.8 ± 4.3 43.1 ± 2.6 34.4 ± 4.5 8.3 ± 0.7 0.6 ± 0.1 E9 36.6 ± 0.1 3.2 ± 1.9 11.3 ± 0.1 17.2 ± 3.1 35.1 ± 1.8 27.3 ± 2.1 18.4 ± 2.0 3.0 ± 0.3 E10 54.5 ± 2.2 40.0 ± 1.7 35.5 ± 2.1 23.4 ± 2.9 67.2 ± 4.4 55.9 ± 3.5 53.2 ± 5.3 33.4 ± 1.3 E11 56.1 ± 1.0 36.2 ± 3.2 66.5 ± 3.6 30.2 ± 1.1 67.0 ± 1.3 54.4 ± 1.5 61.0 ± 2.4 37.6 ± 4.6 E12 100.0 ± 0.9 87.1 ± 0.7 9.2 ± 1.6 0 100.0 ± 5.5 54.0 ± 2.2 93.5 ± 4.5 62.5 ± 1.7 E13 34.3 ± 3.6 23.0 ± 0.6 28.1 ± 0.9 25.7 ± 1.4 78.3 ± 1.6 49.1 ± 0.5 55.7 ± 3.7 46.5 ± 2.3 E14 79.9 ± 2.2 51.2 ± 0.6 20.5 ± 2.7 19.1 ± 1.6 84.7 ± 4.6 72.0 ± 4.5 50.6 ± 3.6 30.6 ± 1.8 E15 53.9 ± 1.6 41.5 ± 4.1 20.2 ± 1.6 13.4 ± 2.3 75.2 ± 2.4 49.1 ± 2.0 25.6 ± 1.3 12.6 ± 4.8 E16 46.3 ± 1.1 32.8 ± 1.6 27.0 ± 4.1 11.9 ± 2.1 99.4 ± 0.8 47.0 ± 1.3 28.6 ± 1.0 25.5 ± 0.6 E17 53.1 ± 0.7 41.6 ± 3.6 50.6 ± 2.0 28.6 ± 1.6 82.8 ± 2.4 61.0 ± 3.2 24.5 ± 1.1 21.8 ± 1.1 E18 63.2 ± 2.9 42.4 ± 0.8 17.3 ± 2.3 4.5 ± 0.4 66.2 ± 3.4 51.3 ± 1.7 30.4 ± 0.1 16.8 ± 0.1 E19 32.5 ± 1.2 26.5 ± 0.6 16.3 ± 2.9 3.2 ± 2.1 47.0 ± 1.8 20.3 ± 1.6 38.5 ± 3.0 19.1 ± 0.6 E20 69.8 ± 0.7 50.3 ± 2.7 26.5 ± 3.7 13.8 ± 2.1 82.1 ± 2.0 51.2 ± 3.2 54.3 ± 4.1 25.6 ± 3.8 E21 100.0 ± 1.4 98.2 ± 0.1 16.5 ± 2.0 5.7 ± 0.5 78.6 ± 0.4 52.7 ± 0.2 43.5 ± 4.2 25.2 ± 0.3 E22 77.1 ± 0.9 51.8 ± 1.5 5.7 ± 3.5 1.7 ± 0.1 63.0 ± 2.0 45.4 ± 8.1 5.3 ± 6.9 3.2 ± 1.0 E23 50.7 ± 3.3 37.2 ± 2.1 21.5 ± 7.1 16.0 ± 3.2 75.4 ± 0.8 54.2 ± 1.1 16.0 ± 3.0 5.4 ± 0.4 E24 66.1 ± 3.0 51.2 ± 0.7 100.0 ± 2.7 81.4 ± 3.7 91.1 ± 2.5 53.5 ± 3.7 38.9 ± 2.2 19.0 ± 0.4 E25 99.4 ± 4.4 81.8 ± 2.1 70.3 ± 5.4 27.7 ± 2.4 98.5 ± 5.5 59.0 ± 0.6 66.3 ± 3.1 40.0 ± 1.7 E26 93.8 ± 3.3 52.8 ± 0.1 54.2 ± 3.3 19.3 ± 1.7 57.6 ± 1.3 43.0 ± 1.0 49.8 ± 4.1 32.0 ± 2.7 E27 50.0 ± 0.6 37.9 ± 2.7 34.2 ± 0.7 19.4 ± 4.0 73.9 ± 4.0 53.5 ± 0.3 26.5 ± 1.5 25.5 ± 3.6 E28 62.3 ± 2.7 30.1 ± 0.2 28.6 ± 1.6 24.6 ± 1.9 66.1 ± 2.9 39.4 ± 2.9 39.6 ± 0.9 28.3 ± 1.6 E29 53.4 ± 0.4 30.6 ± 3.1 16.1 ± 4.5 4.2 ± 3.2 55.0 ± 0.6 36.1 ± 2.8 18.0 ± 3.5 4.1 ± 0.3 E30 66.2 ± 0.2 46.6 ± 1.9 19.3 ± 2.6 7.0 ± 2.6 78.8 ± 0.6 50.4 ± 2.8 47.8 ± 0.6 32.6 ± 3.1 E31 91.3 ± 0.4 49.9 ± 3.2 68.0 ± 1.3 39.0 ± 1.4 68.5 ± 0.3 55.8 ± 1.7 64.7 ± 0.3 46.4 ± 3.1 E32 47.3 ± 2.6 35.5 ± 0.1 28.5 ± 6.9 17.9 ± 3.3 49.4 ± 2.9 24.1 ± 2.8 29.4 ± 2.9 12.2 ± 0.1 E33 62.6 ± 1.4 40.0 ± 2.6 40.2 ± 6.8 14.9 ± 1.8 46.3 ± 2.4 27.4 ± 2.7 61.5 ± 2.5 44.0 ± 2.7 E34 63.7 ± 2.3 42.6 ± 0.1 14.8 ± 3.9 9.2 ± 0.1 46.3 ± 3.1 28.7 ± 3.1 27.7 ± 2.6 25.7 ± 3.3 E35 92.1 ± 1.9 85.0 ± 2.1 25.9 ± 0.8 12.8 ± 2.8 83.3 ± 4.3 58.4 ± 1.5 37.4 ± 2.0 17.7 ± 0.3 E36 100.0 ± 2.2 100.0 ± 2.4 100.0 ± 2.7 87.9 ± 4.4 93.3 ± 4.4 48.7 ± 0.4 98.7 ± 2.2 42.8 ± 4.0 BMT c 89.8 ± 3.9 50.4 ± 0.1 32.7 ± 1.5 23.3 ± 2.8 100.0 ± 3.9 68.9 ± 4.2 77.2 ± 1.7 42.2 ± 0.3 TDC c 64.2 ± 0.2 52.1 ± 1.9 NT d NT d 100.0 ± 4.3 78.2 ± 2.3 68.4 ± 2.8 35.0 ± 3.7 a Average of three replicates; b Xac = Xanthomonas axonopodis pv. citri ; Xoo = Xanthomonas oryzae pv. orvzae ; Xoc = Xanthomonas oryzae pv. oryzicola ; Psa = Pseudomonas svringae pv. actinidiae ; c BMT = Bismerthiazol; TDC = Thiodiazole-copper; d NT = Not tested. Based on preliminary antibacterial activity results, EC 50 values of some target compounds were tested. As shown in Table 2 , this series of compounds exhibit excellent in vitro antibacterial activities. Especially compound E36 inhibited best anti- Xac effect with the EC 50 values of 9.4 mg/L, which were much better than those of BMT (70.5 mg/L) and TDC (96.0 mg/L). These results suggested that compound E36 could be considered as a new lead compound for developing efficient antibacterial and antifungal agent. Table 2 EC 50 values of some of the compounds against Xac Compd. Toxic Regression Equation Correlation coefficient( r ) EC 50 ( mg/L ) a E1 y = 2.1199 x + 2.1170 0.9344 22.9 ± 2.7 E3 y = 0.5574 x + 2.7654 0.9435 40.4 ± 1.6 E5 y = 2.2715 x + 1.5697 0.9505 32.4 ± 2.1 E12 y =2.6606 x + 1.5702 0.9415 19.5 ± 2.2 E21 y = 2.8694 x + 1.2112 0.9592 20.9 ± 2.0 E25 y =2.5628 x + 0.9172 0.9834 39.2 ± 2.4 E35 y = 2.0927 x + 1.6878 0.9945 38.3 ± 3.3 E36 y = 2.8531 x + 2.2250 0.9316 9.4 ± 1.0 BMT b y = 2.1542 x + 1.0189 0.9370 70.5 ± 2.1 TDC c y = 2.1427 x + 0.7528 0.9906 96.0 ± 3.2 a Average of three replicates; b BMT = Bismerthiazol; c TDC = Thiodiazole-coppe. In Vivo Anti-Xac Activities. The in vivo antibacterial efficacy of compound E36 against citrus canker was evaluated under controlled greenhouse conditions. As demonstrated in Table 3 , at a concentration of 200 mg/L, compound E36 exhibits a significant in vivo effect against Xac , displaying therapeutic and protective efficacies of 48.57% and 51.96%, respectively, which was surpassed those of thiodiazole copper (TDC, 44.67% and 45.85%) and approached the effectiveness of bismerthiazol (BMT, 57.92% and 56.53%). Table 3 Curative and protective activities of E36 against Xac at 200 mg/L. Deals Curative effects (%) Protective effects (%) Disease index Inhibition rate d Disease index Inhibition rate d E36 34.92 48.57 ± 2.34b 33.33 51.96 ± 2.29a BMT a 28.57 57.92 ± 2.34a 30.16 56.53 ± 4.58a TDC b 37.57 44.67 ± 3.57c 37.57 45.85 ± 4.76b CK c 67.90 / 69.38 / a BMT = bismerthiazol; b TDC = thiodiazole copper; c CK = blank control; d The statistical analysis was conducted by ANOVA method at the condition of equal variances assumed (p > 0.05) and equal variances not assumed (p < 0.05). Different lowercase letters indicate the values of curative activity with significantly difference among different treatment groups at p < 0.05. Preliminary Antifungal Activities of Title Compounds. The antifungal activities of various fungi including Sclerotinia sclerotiorum (SS), Magnaporthe oryzae (MO), Alternaria solani (AS), Gibberella zeae (GZ), Rhizoctonia solani (RS), Cytospora mandshurica (CM), Fusarium oxysporum (FO), Colletotrichum gloeosporioides (CG), and Verticillium dahlia (VD), were evaluated using the growth rate method. Preliminary antifungal results displayed that this series of compounds exhibit poor to moderate antifungal activities in vitro (Table 4 ). Notably, compound E36 exerted a selective and specific antifungal effect on Verticillium dahlia with the inhibition rate of 91.4% at 50 mg/L , which was better than those of Chlorothalonil (73.1%) and Carbendazim (83.0%). Meanwhile, compound E36 also inhibited moderate antifungal activities on Fusarium oxysporum and Colletotrichum gloeosporioides with the inhibition rate of 35.9 and 52.1%, respectively. Table 4 Antifungal activities of compounds E1-E36 at 50 mg/L in vitro Compd. Inhibition rate a (%) SS b MO b AS b GZ b RS b VM b FO b CG b VD b E1 13.7 ± 2.5 7.2 ± 2.5 20.8 ± 0.8 31.9 ± 0.9 39.0 ± 1.6 17.8 ± 0.8 19.8 ± 1.5 44.0 ± 4.3 26.5 ± 3.7 E2 5.3 ± 0.9 4.2 ± 0.9 18.5 ± 4.8 11.1 ± 1.0 10.8 ± 2.7 13.1 ± 4.6 0 13.5 ± 0.8 15.5 ± 0.8 E3 15.0 ± 2.4 22.9 ± 1.4 23.0 ± 3.6 14.6 ± 1.6 24.8 ± 1.2 10.3 ± 0.8 16.5 ± 2.2 9.4 ± 1.5 12.4 ± 0.7 E4 10.9 ± 2.5 5.6 ± 1.9 12.1 ± 0.8 21.6 ± 0.9 19.9 ± 1.6 9.9 ± 0.1 21.5 ± 2.2 16.7 ± 1.8 19.7 ± 1.6 E5 10.6 ± 0.9 7.4 ± 0.9 15.9 ± 1.6 20.6 ± 1.0 26.6 ± 4.6 4.5 ± 1.5 46.7 ± 4.4 25.1 ± 3.6 15.0 ± 0.8 E6 13.7 ± 3.8 4.4 ± 1.9 13.0 ± 1.4 16.4 ± 0.8 17.0 ± 1.1 13.1 ± 2.9 19.4 ± 0.7 28.1 ± 3.1 16.2 ± 1.3 E7 2.6 ± 0.9 4.2 ± 0.9 13.2 ± 1.8 15.6 ± 2.5 26.6 ± 2.2 16.5 ± 3.0 0 20.8 ± 1.7 30.9 ± 4.7 E8 9.5 ± 1.6 5.8 ± 2.4 11.1 ± 3.2 15.0 ± 0.1 22.3 ± 3.2 8.1 ± 3.2 20.6 ± 2.5 25.1 ± 3.6 16.4 ± 2.2 E9 8.5 ± 2.4 6.9 ± 0.9 11.1 ± 5.5 12.2 ± 1.0 22.3 ± 3.2 9.6 ± 3.2 0 9.2 ± 2.2 27.1 ± 3.3 E10 9.3 ± 3.4 2.8 ± 1.9 18.8 ± 1.5 17.4 ± 0.8 20.2 ± 1.1 11.3 ± 2.4 13.9 ± 3.3 15.1 ± 0.9 10.7 ± 0.7 E11 19.7 ± 1.6 8.3 ± 1.7 20.8 ± 2.2 30.5 ± 3.3 33.0 ± 2.8 17.4 ± 0.8 21.1 ± 4.1 43.2 ± 3.9 24.8 ± 2.0 E12 11.6 ± 0.9 8.5 ± 2.4 28.9 ± 1.7 17.2 ± 2.5 15.6 ± 2.9 9.1 ± 1.5 0 11.6 ± 1.4 19.8 ± 1.7 E13 6.0 ± 0.9 3.9 ± 1.0 15.2 ± 3.1 24.9 ± 1.6 21.6 ± 0.6 14.1 ± 2.8 26.6 ± 0.1 20.3 ± 4.1 12.8 ± 1.5 E14 10.9 ± 0.9 7.2 ± 1.0 14.5 ± 1.4 14.0 ± 1.4 24.1 ± 1.2 10.8 ± 0.8 14.8 ± 2.6 22.4 ± 3.6 31.1 ± 2.6 E15 12.2 ± 0.9 4.8 ± 1.6 14.3 ± 0.1 16.1 ± 1.0 26.6 ± 2.5 17.5 ± 3.3 30.6 ± 1.0 12.6 ± 3.6 16.9 ± 2.2 E16 9.5 ± 1.6 5.8 ± 2.4 11.1 ± 3.2 15.0 ± 0.1 22.3 ± 3.2 8.1 ± 3.2 20.6 ± 2.5 25.1 ± 3.6 16.4 ± 2.2 E17 9.7 ± 2.7 0 12.6 ± 3.6 13.6 ± 1.6 20.9 ± 1.6 10.3 ± 0.8 24.1 ± 1.3 21.1 ± 0.8 13.2 ± 2.0 E18 14.8 ± 4.3 1.7 ± 1.7 14.0 ± 2.2 23.9 ± 2.8 24.5 ± 1.1 15.5 ± 1.4 16.5 ± 2.5 12.0 ± 3.3 12.4 ± 2.7 E19 11.6 ± 2.4 5.8 ± 2.4 10.1 ± 1.8 16.1 ± 1.9 17.3 ± 1.9 7.1 ± 3.8 0 14.5 ± 2.5 15.0 ± 0.8 E20 8.5 ± 4.6 7.9 ± 1.6 7.9 ± 0.1 16.7 ± 1.7 29.9 ± 1.5 13.1 ± 4.4 23.9 ± 4.8 15.9 ± 2.5 7.7 ± 0.8 E21 13.8 ± 2.4 6.9 ± 0.9 13.2 ± 1.8 16.1 ± 1.9 15.2 ± 2.5 10.1 ± 0.9 0 26.6 ± 2.2 19.3 ± 3.0 E22 17.5 ± 1.9 7.8 ± 3.5 15.5 ± 2.2 24.9 ± 4.3 24.5 ± 2.1 10.3 ± 0.8 21.5 ± 3.3 15.6 ± 0.1 32.8 ± 2.7 E23 10.5 ± 0.7 17.1 ± 2.5 9.5 ± 4.2 25.6 ± 0.6 25.6 ± 0.1 11.1 ± 1.7 10.0 ± 3.3 10.6 ± 3.0 42.0 ± 2.9 E24 8.5 ± 3.3 6.3 ± 2.7 7.9 ± 2.7 12.8 ± 3.5 10.5 ± 3.9 7.6 ± 4.0 50.6 ± 2.5 10.6 ± 0.8 14.5 ± 1.4 E25 32.8 ± 2.4 10.2 ± 0.8 12.7 ± 1.6 26.1 ± 1.9 27.0 ± 1.9 8.1 ± 0.9 2.2 ± 1.0 22.2 ± 2.2 25.1 ± 4.4 E26 6.0 ± 1.0 3.9 ± 1.9 16.9 ± 1.7 18.3 ± 4.9 22.7 ± 0.6 18.3 ± 4.2 21.5 ± 2.2 26.6 ± 4.1 33.2 ± 2.3 E27 10.4 ± 1.9 7.8 ± 2.5 11.1 ± 2.2 20.2 ± 2.9 20.6 ± 3.3 9.5 ± 0.6 29.1 ± 2.5 30.2 ± 1.8 25.6 ± 1.8 E28 10.9 ± 3.4 5.8 ± 2.5 11.1 ± 2.2 22.6 ± 2.4 24.5 ± 1.1 16.0 ± 1.7 27.4 ± 3.7 19.3 ± 3.9 26.9 ± 4.6 E29 4.8 ± 1.6 4.8 ± 1.6 20.8 ± 1.4 8.3 ± 1.7 8.4 ± 1.9 5.6 ± 3.2 5.0 ± 1.7 17.9 ± 3.3 20.3 ± 2.0 E30 3.7 ± 0.9 4.8 ± 0.1 22.2 ± 1.6 14.4 ± 2.5 11.8 ± 0.7 23.2 ± 2.3 0 12.1 ± 4.4 14.0 ± 1.7 E31 12.2 ± 1.5 22.6 ± 2.1 11.1 ± 3.2 19.0 ± 0.6 20.5 ± 2.4 51.5 ± 1.9 10.0 ± 1.1 31.9 ± 3.8 24.6 ± 3.8 E32 9.3 ± 0.7 17.5 ± 0.7 9.7 ± 1.4 20.9 ± 1.1 14.0 ± 0.1 39.0 ± 1.7 13.3 ± 2.9 18.4 ± 1.3 7.2 ± 1.5 E33 13.1 ± 1.5 19.4 ± 1.8 58.4 ± 4.5 23.4 ± 2.3 22.1 ± 4.2 12.3 ± 2.5 0 25.7 ± 3.3 19.0 ± 0.1 E34 22.4 ± 2.5 7.2 ± 2.5 18.4 ± 1.7 43.2 ± 2.9 32.6 ± 1.2 9.2 ± 1.0 36.3 ± 1.5 33.3 ± 1.8 19.7 ± 3.0 E35 25.1 ± 3.4 13.9 ± 1.9 28.0 ± 2.2 30.8 ± 1.6 31.2 ± 1.6 15.0 ± 0.8 24.5 ± 0.7 19.3 ± 3.3 28.6 ± 3.7 E36 22.4 ± 2.5 10.0 ± 1.7 18.4 ± 1.7 33.3 ± 1.6 22.0 ± 1.2 13.1 ± 2.9 35.9 ± 1.9 52.1 ± 4.5 91.4 ± 2.6 Chl. c 100.0 ± 0.1 65.5 ± 0.1 48.7 ± 2.4 76.2 ± 2.3 89.1 ± 1.3 93.7 ± 3.1 72.8 ± 1.0 89.9 ± 2.9 73.1 ± 2.2 Carb. c 98.3 ± 3.7 51.2 ± 2.4 77.8 ± 5.7 100.0 ± 0.1 100.0 ± 0.1 100.0 ± 0.1 100.0 ± 0.1 78.7 ± 0.8 83.0 ± 1.6 a Average of three trials; b The commercial fungicides were employed for comparison. Abbreviations: SS = Sclerotinia sclerotiorum ; MO = Magnaporthe oryzae ; AS = Alternaria solani ; GZ = Gibberella zeae ; RS = Rhizoctonia solani ; VM = Valsa mail ; FO = Fusarium oxysporum ; CG = Colletotrichum gloeosprioides ; VD = Verticillium dahlia ; c Commercialized fungicides Chlorothalonil (50%) and Carbendazim (50%). Inhibitory Effect of Compound E36 on EPS. We assessed the impact of compound E36 on the production of EPS, as depicted in Fig. 3 a and 3 b, revealing that compound E36 exerted a signiffcant inhibitory effect on EPS synthesis. The data revealed that compound E36 markedly hindered the formation of EPS, with production of 1.03, 0.83, 0.72 and 0.58mg/mL at concentrations of 0, 5, 10 and 20 mg/L, respectively. These ffndings suggest that compound E36 had the capacity to suppress EPS production, which in turn impedes the bacterial proliferation. Growth and Motility Inhibition of Compound E36 on Xac . We investigated the inffuence of compound E36 on the growth of Xac at concentrations of 5, 10, and 20 mg/L, as illustrated in Fig. 3 c. The results showed that at concentrations of 5, 10, and 20 mg/L, E36 significantly inhibited the growth and reproduction of Xac bacteria, with the most pronounced effect observed at 20 mg/L. Meanwhile, we evaluated the inhibitory effect of compound E36 on Xac motility at concentrations of 10, 20, 40, 60, and 80 mg/L, as illustrated in Fig. 3 D. The results showed that higher concentrations of E36 led to a more pronounced suppression of bacterial movement. These findings suggest that compound E36 may play a regulatory role in bacterial growth and motility. Proteomics Analysis . To investigate the regulatory role and antibacterial mechanism of compound E36 against Xac , this study conducted label-free quantitative proteomic analysis of citrus leaves inoculated with Xac and treated with E36 . A total of 7,991 proteins were detected, among which 260 were differentially expressed under E36 stimulation (157 upregulated with fold change ≥ 1.2 and 103 downregulated with fold change ≤ 0.83) (Fig. 4 a, 4 b, and Table S1 ). KOG hierarchical clustering analysis revealed that most differentially expressed proteins (DEPs) were functionally associated with post-translational modification, protein turnover, energy production and conversion, translation, and ribosome biogenesis (Fig. 4 c). Subcellular localization analysis indicated that 52% of DEPs were secretion-related, while 51% were localized in the cytoplasm, 49% in the nucleus, and 29% in chloroplasts (Fig. 5 b). Gene Ontology (GO) annotation analysis (covering molecular functions, MF; biological processes, BP; and cellular components, CC) elucidated the biological roles of the DEPs (Fig. 5 a). BP analysis showed that DEPs were primarily involved in glucose metabolic process, establishment of protein localization to membrane, and gluconeogenesis. CC analysis indicated enrichment in intracellular anatomical structures, cytoplasm, chloroplasts, and plastids. MF analysis demonstrated that DEPs were associated with ubiquitin binding, ubiquitin-like protein binding, and fructose-1,6-bisphosphate 1-phosphatase activity. KEGG pathway enrichment analysis revealed that DEPs were most significantly enriched in Photosynthesis, Metabolic pathways, Oxidative phosphorylation, and Carbon metabolism (Fig. 5 c, Table S2 ). Based on the above results, we speculate that compound E36 attenuates the pathogenicity of Xac by suppressing bacterial EPS production, while enhancing host disease resistance through upregulation of citrus rbcL protein expression, thereby promoting carbon fixation and photosynthetic efficiency of citrus (Fig. 6 ). In summary, a series of novel 9-((5-(substitutethio)-4-phenyl-4H-1,2,4-triazol-3-yl)methyl)-9H-carbazole derivatives with potential antibacterial and antifungal activities were designed. The lead compound E36 demonstrated significant antibacterial efficacy against Xac , with EC 50 values of 9.4 mg/L in vitro. In vivo assessments revealed superior disease control efficacy, with therapeutic and protective effects reaching 48.57% and 51.96%, respectively, at 200 mg/L, outperforming the commercial agent TDC and showing comparable activity to BMT. Remarkably, E36 also exhibited potent broad-spectrum antifungal activity, showing 91.4% inhibition against V Verticillium dahliae at a concentration of 50 mg/L, which was outperforming conventional fungicides Chlorothalonil (73.1%) and Carbendazim (83.0%). Mechanistic studies reveal E36's multimodal action, including suppression of Xac motility and extracellular polysaccharide production, while simultaneously enhancing citrus photosynthesis, carbon fixation, and innate plant immunity to combat pathogen invasion. These findings position E36 as a promising candidate for integrated plant disease management strategies. Declarations Conflicts of interest The authors declare that they have no competing interests. Author Contribution A.Z. conducted most of the experiments and wrote the main manuscript text. H.Q. and D.W. contributed to the synthesis of compounds. G.Y. and H.Z. contributed to the bioactivities assay of compounds. L.T. contributed to the revision of the manuscript. L.Y. and X.S. conceptualized and directed the project and drafted the manuscript with assistance from all co-authors. All authors contributed to part of the experiments and/or discussions. All authors reviewed the manuscript. Acknowledgments This work was supported by Guizhou Provincial Science and Technology Foundation (No. Qiankehe Basic-MS[2025] 654), Guizhou Provincial Science and Technology Plan Project (No. Qiankehe Basic-[2024] Youth 236) and High-level Talent Start-up Fund Project of Guizhou Medical University (No. Xiaobohe J-[2024]-15). References Zhang YC, Zou YN, Liu LP, Wu QS (2019) Common mycorrhizal networks activate salicylic acid defense responses of trifoliate orange (Poncirus trifoliata). J Integr Plant Biol 61:1099–1111. https://doi.org/10.1111/jipb.12743 Li W, Li Z, Huang J, Xu M, Zheng Z, Deng X (2022) Characterization of Xanthomonas citri pv. citri from China based on spoligotyping. Horticult. Plant J 8:727–736. https://doi.org/10.1016/j.hpj.2022.02.003 Zhang YQ, Wang X, Shi H, Siddique F, Xian J, Song A, Wang B, Wu Z, Cui ZN (2024) Design and synthesis of mandelic acid derivatives for suppression of virulence via T3SS against citrus canker. J Agric Food Chem 72:9611–9620. https://doi.org/10.1021/acs.jafc.3c07681 Moreira-Martins PM, Oliveira-Andrade M, Benedetti CE, Souza AA (2020) Xanthomonas citri subsp. citri: host interaction and control strategies. Trop Plant Pathol 45:213–236. https://doi.org/10.1021/acs.jafc.3c07681 Hap IU, Khan M, Khan I (2024) Phytopathological management through bacteriophages: enhancing food security amidst climate change. J Ind Microbiol Biotechnol 51:kuae031. https://doi.org/10.1093/jimb/kuae031 Gao F, Wang T, Xiao J, Huang G (2019) Antibacterial activity study of 1,2,4-triazole derivatives. Eur J Med Chem 173:274–281. https://doi.org/10.1016/j.ejmech.2019.04.043 Ding YY, Zhou H, Deng P, Zhang BQ, Zhang ZJ, Wang GH, Zhang SY, Wu ZR, Wang YR (2023) Antimicrobial activity of natural and semi-synthetic carbazole alkaloids. Eur J Med Chem 259:115627. https://doi.org/10.1016/j.ejmech.2023.115627 Paneth A, Traczek T, Grzegorczyk A, Janowska D, Malm A, Paneth P (2017) A search for dual action HIV-1 reverse transcriptase, bacterial RNA polymerase inhibitors. Molecules 22:1808. https://doi.org/10.3390/molecules22111808 Fan Z, Shi J, Bao X (2018) Synthesis and antimicrobial evaluation of novel 1,2,4-triazole thioether derivatives bearing a quinazoline moiety. Mol Divers 22:657–667. https://doi.org/10.1007/s11030-018-9821-8 Chen Y, Li P, Su S, Chen M, He J, Liu L, He M, Wang H, Xue W (2019) Synthesis and antibacterial and antiviral activities of myricetin derivatives containing a 1,2,4-triazole Schiff base. RSC Adv 9:23045–23052. https://doi.org/10.1039/C9RA05139B Fan Z, Shi J, Luo N, Ding M, Bao X (2019) Synthesis, crystal structure, and agricultural antimicrobial evaluation of novel quinazoline thioether derivatives incorporating the 1,2,4-triazolo[4,3-a]pyridine moiety. J Agric Food Chem 67:11598–11606. https://doi.org/10.1021/acs.jafc.9b04733 Shi J, Ding M, Luo N, Wan S, Li P, Li J, Bao X (2020) Design, synthesis, crystal structure, and antimicrobial evaluation of 6-fluoroquinazolinylpiperidinyl containing 1,2,4-Triazole mannich base derivatives against phytopathogenic bacteria and fungi. J Agric Food Chem 68:9613–9623. https://doi.org/10.1021/acs.jafc.0c01365 Shao WB, Wang PY, Fang ZM, Wang JJ, Guo DX, Ji J, Zhou X, Qi PY, Liu LW, Yang S (2021) Synthesis and biological evaluation of 1,2,4-triazole thioethers as both potential virulence factor inhibitors against plant bacterial diseases and agricultural antiviral agents against Tobacco Mosaic Virus infections. J Agric Food Chem 69:15108–15122. https://doi.org/10.1021/acs.jafc.1c05202 Fei Q, Liu C, Luo Y, Chen H, Ma F, Xu S, Wu W (2024) Rational design, synthesis, and antimicrobial evaluation of novel 1,2,4-trizaole–substituted 1,3,4-oxadiazole derivatives with a dual thioether moiety. Mol Divers 29:255–267. https://doi.org/10.1007/s11030-024-10848-2 Ashok D, Ravi S, Ganesh A, Lakshmi BV, Adam S, Murthy SD (2016) Microwave-assisted synthesis and biological evaluation of carbazole-based chalcones, aurones and flavones. Med Chem Res 25:909–922. https://doi.org/10.1007/s00044-016-1537-7 Lin S, Liu J, Li H, Liu Y, Chen Y, Luo J, Liu S (2020) Development of highly potent carbazole amphiphiles as membrane-targeting antimicrobials for treating gram-positive bacterial infections. J Med Chem 63:9284–9299. https://doi.org/10.1021/acs.jmedchem.0c00433 Xue YJ, Li MY, Jin XJ, Zheng CJ, Piao HR (2021) Design, synthesis and evaluation of carbazole derivatives as potential antimicrobial agents. J Enzyme Inhib Med Chem 36:296–307. https://doi.org/10.1080/14756366.2020.1850713 Xue YJ, Li MY, Jin XJ, Zheng CJ, Piao HR (2021) Design, synthesis and evaluation of carbazole derivatives as potential antimicrobial agents. J Enzyme Inhib Med Chem 36:296–307. https://doi.org/10.1080/14756366.2020.1850713 Chen CH, Liu CS, Guo XM, Tong JP, Huang J, Shi TT, Sun J (2024) Design, synthesis, and biological evaluation of carbazole derivatives as potent antibacterial agents targeting membrane function via FabH Inhibition. J Mol Struct 1306:137891. https://doi.org/10.1016/j.molstruc.2024.137891 Salih N, Salimon J, Yousif E (2016) Synthesis and antimicrobial activities of 9H-carbazole derivatives. Arab J Chem 9:S781–S786. https://doi:10.1016/j.arabjc.2011.08.013 Li JZ, Liu Q, Li S, Zeng L, Yao JH, Li HD, Shen ZJ, Lu FN, Wu ZX, Song BA, Song RJ (2024) Design, synthesis, antibacterial activity, and mechanisms of novel benzofuran derivatives containing disulfide moieties. J Agric Food Chem 72:10195–10205. https://doi.org/10.1021/acs.jafc.3c08392 Chen XC, Niu X, Li LJ, Chen K, Song DD, Chen B, Yang S, Wu ZB (2024) Design, synthesis, and target identification of novel phenylalanine derivatives by drug affinity responsive target stability (DARTS) in Xanthomonas oryzae pv. oryzae. J Agric Food Chem 72:3436–3444. https://doi.org/10.1021/acs.jafc.3c09267 Zhu M, Li Y, Long XS, Wang CY, Ouyang GP, Wang ZC (2022) Antibacterial activity of allicin-inspired disulfide derivatives against Xanthomonas axonopodis pv. citri. Int J Mol Sci 23:11947. https://doi.org/10.3390/ijms231911947 Yang L, Ge S, Huang J, Bao X (2018) Synthesis of novel (E)-2-(4-(1H-1,2,4-triazol-1-yl)-styryl)-4-(alkyl/arylmethyleneoxy) quinazoline derivatives as antimicrobial agents. Mol Divers 22:71–82. https://doi.org/10.1007/s11030-017-9792-1 Yang L, Ding M, Shi J, Luo N, Wang Y, Lin D, Bao X (2024) Design, synthesis, X-ray crystal structure, and antimicrobial evaluation of novel quinazolinone derivatives containing the 1,2,4-triazole Schiff base moiety and an isopropanol linker. Mol Divers 28:3215–3224. https://doi.org/10.1007/s11030-023-10749-w Pan X, Xu S, Wu J, Luo J, Duan Y, Wang J, Zhang F, Zhou M (2018) Screening and characterization of Xanthomonas oryzae pv. oryzae strains with resistance to pheazine-1-carboxylic acid. Pestic Biochem Phys 145:8–14. https://doi.org/10.1016/j.pestbp.2017.12.003 Zhang Y, Luo X, Zhu M, Zhou Y, Liu X, Chen J (2025) Design, synthesis, and antibacterial activity of novel sulfone derivatives containing a 1,2,4-triazolo[4,3-a]pyridine moiety. J Agric Food Chem 73:1813–1823. https://doi.org/10.1021/acs.jafc.4c07237 Additional Declarations No competing interests reported. Supplementary Files Tables.docx SupplementaryFile.docx Cite Share Download PDF Status: Published Journal Publication published 06 Oct, 2025 Read the published version in Molecular Diversity → Version 1 posted Editorial decision: Revision requested 10 Sep, 2025 Reviews received at journal 09 Sep, 2025 Reviewers agreed at journal 08 Sep, 2025 Reviews received at journal 04 Sep, 2025 Reviewers agreed at journal 01 Sep, 2025 Reviewers agreed at journal 01 Sep, 2025 Reviewers agreed at journal 01 Sep, 2025 Reviewers agreed at journal 10 Aug, 2025 Reviewers agreed at journal 10 Aug, 2025 Reviewers invited by journal 08 Aug, 2025 Editor assigned by journal 04 Aug, 2025 Submission checks completed at journal 04 Aug, 2025 First submitted to journal 04 Aug, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7287080","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":498461594,"identity":"33b8dcd7-00d4-4ed7-86ec-7c64e785f47a","order_by":0,"name":"Awei Zhang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAzUlEQVRIiWNgGAWjYHACNhDBY9/e2PjwAylaZAx4DjcbS5CixcZAIr1NgIcY9fwS6c8e/NxRy2Mu+bCNQYLBTk63gYAWyRkJ6Ya9Z47zWM5ObHtQwJBsbHaAgBaD2wnHJHjbjvEw3E5sN5BgOJC4jZAW+9uJbZJ/QVpuHmyT4CFGi4F0Mps0b1sNj8ENRiK1SNx/xiYt23aAR7InERjIBkT4hb/n+DPJt2119vzsxx8+/FBhJ0dQCxQchrmTOOUgUEe80lEwCkbBKBh5AABHDkEm1SMeaQAAAABJRU5ErkJggg==","orcid":"","institution":"Guizhou Medical University","correspondingAuthor":true,"prefix":"","firstName":"Awei","middleName":"","lastName":"Zhang","suffix":""},{"id":498461597,"identity":"d5178b2d-7fcf-45e4-81c7-58e2923ac507","order_by":1,"name":"Huiyan Quan","email":"","orcid":"","institution":"Guizhou University","correspondingAuthor":false,"prefix":"","firstName":"Huiyan","middleName":"","lastName":"Quan","suffix":""},{"id":498461599,"identity":"6ea77c8d-f5a7-46c0-bbac-abec1356e1df","order_by":2,"name":"Danqing Wang","email":"","orcid":"","institution":"Guizhou Medical University","correspondingAuthor":false,"prefix":"","firstName":"Danqing","middleName":"","lastName":"Wang","suffix":""},{"id":498461601,"identity":"31a1266f-fff1-4e66-8770-247579ad384f","order_by":3,"name":"Guangqin Yang","email":"","orcid":"","institution":"Guizhou University","correspondingAuthor":false,"prefix":"","firstName":"Guangqin","middleName":"","lastName":"Yang","suffix":""},{"id":498461602,"identity":"ca4847e5-ab78-4abc-be20-5909fdfb91ed","order_by":4,"name":"Haizhen Zhang","email":"","orcid":"","institution":"Guizhou Medical University","correspondingAuthor":false,"prefix":"","firstName":"Haizhen","middleName":"","lastName":"Zhang","suffix":""},{"id":498461603,"identity":"163db601-b8ee-488e-86ec-0959cd6fc5fb","order_by":5,"name":"Ling Tao","email":"","orcid":"","institution":"Guizhou Medical University","correspondingAuthor":false,"prefix":"","firstName":"Ling","middleName":"","lastName":"Tao","suffix":""},{"id":498461606,"identity":"0d4a5a1f-ec02-4b4f-931b-7b622e5a0c0a","order_by":6,"name":"Lan Yang","email":"","orcid":"","institution":"Guizhou University","correspondingAuthor":false,"prefix":"","firstName":"Lan","middleName":"","lastName":"Yang","suffix":""},{"id":498461608,"identity":"993ec0f2-6909-4c35-9cb4-ee12166f0d1c","order_by":7,"name":"Xiangchun Shen","email":"","orcid":"","institution":"Guizhou Medical University","correspondingAuthor":false,"prefix":"","firstName":"Xiangchun","middleName":"","lastName":"Shen","suffix":""}],"badges":[],"createdAt":"2025-08-04 05:23:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7287080/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7287080/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11030-025-11377-2","type":"published","date":"2025-10-06T15:58:27+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":88999779,"identity":"6e3378b8-900f-4203-ab56-797352ff0aef","added_by":"auto","created_at":"2025-08-13 15:12:04","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":19861310,"visible":true,"origin":"","legend":"\u003cp\u003eSome representative molecules containing the triazole-thioether and carbazole moiety\u003c/p\u003e","description":"","filename":"Fig1.png","url":"https://assets-eu.researchsquare.com/files/rs-7287080/v1/7d8a76db4880c459b6b16909.png"},{"id":88999773,"identity":"2744417b-cb8e-4a75-bfec-1962519995da","added_by":"auto","created_at":"2025-08-13 15:12:04","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":4933549,"visible":true,"origin":"","legend":"\u003cp\u003eDesign strategy and synthesis route for target compounds in this work\u003c/p\u003e","description":"","filename":"Fig2.png","url":"https://assets-eu.researchsquare.com/files/rs-7287080/v1/0d8863d729bae7fd6b5b2053.png"},{"id":88999771,"identity":"3e4940f8-8b79-4ae5-9b8b-486734c57d7c","added_by":"auto","created_at":"2025-08-13 15:12:04","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":1204148,"visible":true,"origin":"","legend":"\u003cp\u003ePhysiological effects of compound E36 on Xac. a) Preparation of standard curves for glucose solution. b) Determination of EPS content in different treatment groups. C) Growth inhibition test of compound E36 on Xac. c) Motility inhibition test of Compound E36 on Xac.\u003c/p\u003e","description":"","filename":"Fig3.png","url":"https://assets-eu.researchsquare.com/files/rs-7287080/v1/a1337f10173a2c7098811bfb.png"},{"id":89001684,"identity":"d1e9337b-7ed2-4ab4-8f3c-61656bff96ec","added_by":"auto","created_at":"2025-08-13 15:28:04","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":14121438,"visible":true,"origin":"","legend":"\u003cp\u003eProteomics analysis. a) Column chart of the number of differentially expressed proteins in different comparison groups. b) The DEPs volcano diagram of CK group to E36 group. c) Column plot of COG analysis of differentially expressed proteins.\u003c/p\u003e","description":"","filename":"Fig4.png","url":"https://assets-eu.researchsquare.com/files/rs-7287080/v1/1176472d0aae4a84198a7fd4.png"},{"id":88999778,"identity":"33c59684-ce0b-46b4-93b9-463e718b293f","added_by":"auto","created_at":"2025-08-13 15:12:04","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":9244458,"visible":true,"origin":"","legend":"\u003cp\u003eProteomics analysis. a) GO annotation enrichment analysis of DEPs. b) Subcellular location analysis of DEPs. c) Bubble plot of KEGG metabolic pathway enrichment analysis.\u003c/p\u003e","description":"","filename":"Fig5.png","url":"https://assets-eu.researchsquare.com/files/rs-7287080/v1/21b35762a5c6659f0db0f6e3.png"},{"id":88999781,"identity":"d3e0dd50-6aec-416a-a53a-89ab5ca601e6","added_by":"auto","created_at":"2025-08-13 15:12:04","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":2371694,"visible":true,"origin":"","legend":"\u003cp\u003eDiagram of the regulatory mechanism of compound E36. The compound E36 attenuates the pathogenicity of Xac by suppressing bacterial EPS production, while enhancing host disease resistance through upregulation of citrus rbcL protein expression, thereby promoting carbon fixation and photosynthetic efficiency of citrus.\u003c/p\u003e","description":"","filename":"Fig6.png","url":"https://assets-eu.researchsquare.com/files/rs-7287080/v1/ea8c1c1420f38b307262106e.png"},{"id":93420950,"identity":"1809daf8-5e6f-4bba-96a9-824017d436dd","added_by":"auto","created_at":"2025-10-13 16:10:40","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":41529832,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7287080/v1/b652eab1-fab2-42da-ac6d-a04b20a8ce4c.pdf"},{"id":89000532,"identity":"727e4f69-a7f4-4f63-80b2-e95ffc29a1b2","added_by":"auto","created_at":"2025-08-13 15:20:04","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":1349711,"visible":true,"origin":"","legend":"","description":"","filename":"Tables.docx","url":"https://assets-eu.researchsquare.com/files/rs-7287080/v1/685ee5fa1530f2dbc3e3eb6e.docx"},{"id":88999793,"identity":"b7522dc3-0882-4c16-8bac-cad23b62c9ef","added_by":"auto","created_at":"2025-08-13 15:12:05","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":11040186,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryFile.docx","url":"https://assets-eu.researchsquare.com/files/rs-7287080/v1/9b6ce8ddf8f1c5747d510bb5.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Novel Carbazole-Triazole-Thioether Conjugates as Multifunctional Antimicrobial Agents against Phytopathogen","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eThe effective management of citrus canker, caused by \u003cem\u003eXanthomonas axonopodis\u003c/em\u003e pv. \u003cem\u003ecitri\u003c/em\u003e (\u003cem\u003eXac\u003c/em\u003e), is crucial to ensure the productivity and sustainability of the citrus industry[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. As one of the most devastating bacterial diseases affecting citrus plants, citrus canker can lead to significant economic losses if left uncontrolled [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Chemical control measures have played a pivotal role in the prevention and management of citrus canker. It offers a quick and effective solution to suppress the spread and severity of the disease[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. However, long term use of traditional chemical pesticides has limitations including potential harm to the environment and the development of resistance in the pathogen[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Therefore, the development of novel high-efficiency and environmentally friendly bactericide has gained significant attention in recent years.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e1,2,4-triazole thioethers and carbazole derivatives have attracted considerable attention in recent years due to their promising biological activities and potential applications[\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e] (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). 1,2,4-triazole thioethers derivatives, possessing a triazole ring structure, have attracted attention as they exhibit a wide range of pharmacological activities. These compounds have demonstrated promising antimicrobial properties against bacteria, fungi, and parasites[\u003cspan additionalcitationids=\"CR7 CR8 CR9 CR10 CR11 CR12 CR13\" citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. On the other hand, carbazole derivatives, which incorporate the carbazole structure, have emerged as potential candidates for the treatment of pathogen infections[\u003cspan additionalcitationids=\"CR16\" citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. These derivatives have demonstrated improved antimicrobial activity against drug-resistant strains, highlighting their therapeutic potential in combating plant diseases[\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Furthermore, the versatility of carbazole derivatives allows for modifications and optimizations to enhance their pharmacokinetic properties and reduce their adverse effects[\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Inspired by these results, a series of novel 9-((5-(substitutethio)-4-phenyl-4\u003cem\u003eH\u003c/em\u003e-1,2,4-triazol-3-yl)methyl)-9\u003cem\u003eH\u003c/em\u003e-carbazole derivatives were designed and synthesized (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The incorporation of the carbazole structure into 1,2,4-triazole thioethers derivatives provides a versatile platform for the synthesis of new compounds with improved pharmacological profiles. The presence of the triazole ring offers potential interactions with various enzyme targets, making these compounds promising candidates for the development of antimicrobial, antifungal, and antiparasitic agents.\u003c/p\u003e"},{"header":"MATERIALS AND METHODS","content":"\u003cp\u003e\u003cb\u003eInstruments and Chemicals.\u003c/b\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eChemicals.\u003c/b\u003e All the chemicals were purchased from commercial suppliers and used without further purification (unless stated otherwise). Ethyl 2-(9\u003cem\u003eH\u003c/em\u003e-carbazol-9-yl)acetate \u003cb\u003eA\u003c/b\u003e and 2-(9\u003cem\u003eH\u003c/em\u003e-Carbazol-9-yl)acetohydrazide \u003cb\u003eB\u003c/b\u003e were prepared according to the previous literatures.[\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]\u003c/p\u003e\u003cp\u003e\u003cb\u003eBiomaterials.\u003c/b\u003e All the strains of bacteria and fungi were provided by the Laboratory of Plant Disease Control at Guizhou University.\u003c/p\u003e\u003cp\u003e\u003cb\u003eInstruments.\u003c/b\u003e NMR spectroscopic data were recorded with Bruker 400 MHz NMR spectrometer (400 MHz for \u003csup\u003e1\u003c/sup\u003eH and 100MHz \u003csup\u003e13\u003c/sup\u003eC) in DMSO-\u003cem\u003ed\u003c/em\u003e\u003csub\u003e6\u003c/sub\u003e at room temperature, the following abbreviations were used in expressing the multiplicity: s, singlet; d, doublet; t, triplet; q, quartet and m, multiplet. chemical shift (\u003cem\u003eδ\u003c/em\u003e) was reported in parts per million (ppm), and coupling constants were expressed in Hertz (Hz). Melting points were determined on a WRS-2 Microcomputer melting point instrument (uncorrected, Shanghai Yidian Physical Optics Instrument Co., Ltd.). HRMS-ESI spectra were measured by a Thermo Scientific Q Exactive series.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eGeneral Synthesis Procedure for Title Compounds.\u003c/b\u003e The procedure for the synthesis of title compounds \u003cb\u003eE1\u003c/b\u003e-\u003cb\u003eE36\u003c/b\u003e are shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. 9\u003cem\u003eH\u003c/em\u003e-carbazole (2g, 11.48 mmol) and anhydrous K\u003csub\u003e2\u003c/sub\u003eCO\u003csub\u003e3\u003c/sub\u003e (2.48 g, 17.94 mmol) were combined in 15 ml dried DMF solution. And the reaction mixture was heated at 55 ℃ for 2 hours, allowing the components to react and form intermediate products. After cooling the system to room temperature, ethyl bromoacetate (2.2 g, 13.16 mmol) was dropwise added into the mixture, and the reaction proceeded for an additional 2 hours at room temperature. To facilitate the reaction, the mixture was then heated again at 55 ℃ for 1 hour. As the reaction reached its completion, the resulting mixture was poured into 80 ml of ice water and the intermediate \u003cb\u003eA\u003c/b\u003e was separated. Intermediate \u003cb\u003eA\u003c/b\u003e (2 g, 7.9 mmol) and 80% hydrazine hydrate (14.82 g, 236.87 mmol) were refluxed in 30mL absolute alcohol solution for 8h, then left the mixture at 4 ℃ overnight, and the intermediate \u003cb\u003eB\u003c/b\u003e would separate from the cooled mixture. Intermediate \u003cb\u003eC\u003c/b\u003e was obtained by refluxing intermediate \u003cb\u003eB\u003c/b\u003e (1 g, 4.18 mmol) with isothiocyanatobenzene (0.68 g, 5.02 mmol) in 80mL absolute alcohol solution for 7h. Subsequently, intermediate \u003cb\u003e3\u003c/b\u003e (0.6g, 1.6 mmol) was refluxed in a 20 ml solution of 10% K\u003csub\u003e2\u003c/sub\u003eCO\u003csub\u003e3\u003c/sub\u003e for 12 hours. Following the reflux, the reaction mixture was cooled to room temperature, and the pH was then adjusted to neutral using a 10% HCl solution. This pH adjustment resulted in the precipitation and separation of intermediate \u003cb\u003eD\u003c/b\u003e from the combined mixture. Eventually, the target compounds \u003cb\u003eE1\u003c/b\u003e-\u003cb\u003eE36\u003c/b\u003e were prepared by thioetherification of intermediate \u003cb\u003eD\u003c/b\u003e (0.8 g, 2.24 mmol) with different halogenated hydrocarbons (2.69 mmol) in a dry DMF solution with K\u003csub\u003e2\u003c/sub\u003eCO\u003csub\u003e3\u003c/sub\u003e (0.93 g, 6.73 mol) as acid-binding agent. The compounds were then obtained through column chromatography or recrystallization.\u003c/p\u003e\u003cp\u003e\u003cb\u003eAntibacterial Bioassay\u003c/b\u003e \u003cb\u003eIn Vitro\u003c/b\u003e. The antibacterial activities of title compounds \u003cem\u003ein vitro\u003c/em\u003e were assessed using turbidimetric assays [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. The samples tested include Bismerthiazol (BMT), Thiodiazole-copper (TDC), DMSO and all target compounds. The commercialized fungicides BMT (with a 90% active ingredient content) and TDC (with a 20% active ingredient content) were used as the positive controls, whereas DMSO in sterile distilled water was used as the negative control. Briefly, approximately 40 \u003cem\u003e\u0026micro;\u003c/em\u003eL of bacterial suspension was mixed with 5 mL of NB medium containing specified concentrations of test samples. Incubation occurred at 28\u0026deg;C with 180 rpm for 24\u0026ndash;48 hours until the OD\u003csub\u003e595\u003c/sub\u003e of the DMSO control reached 0.6. OD\u003csub\u003e595\u003c/sub\u003e values of experimental groups were recorded, and bacteriostatic rates were calculated using the following formula.\u003c/p\u003e\u003cp\u003eInhibition rate \u003cem\u003eI\u003c/em\u003e (%) = [(A\u003csub\u003eC\u003c/sub\u003e - A\u003csub\u003eT\u003c/sub\u003e) / A\u003csub\u003eC\u003c/sub\u003e] \u0026times; 100\u003c/p\u003e\u003cp\u003eWhere A\u003csub\u003eC\u003c/sub\u003e and A\u003csub\u003eT\u003c/sub\u003e represent OD\u003csub\u003e595\u003c/sub\u003e values of blank control and treatments, respectively. EC\u003csub\u003e50\u003c/sub\u003e values were determined using SPSS software.\u003c/p\u003e\u003cp\u003e\u003cb\u003eAnti-Xac Activity Assay\u003c/b\u003e \u003cb\u003eIn Vivo\u003c/b\u003e. The method for the anti-\u003cem\u003eXac\u003c/em\u003e activity assay \u003cem\u003ein vivo\u003c/em\u003e was based on the literature previously reported [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. Briefly, prepare the test compound into a solution with a concentration of 200 \u003cem\u003emg/L\u003c/em\u003e and evenly spray it to citrus leaves until droplets form. After 24 hours, puncture the citrus leaves using a sterile needle, and then apply sterile filter paper moistened with citrus canker bacterial solution to the wounded area. After 21 days of treatment, count the number of lesions on the citrus leaves and calculate the protective activities based on the occurrence of citrus canker lesions. For the therapeutic activity of the compounds, follow a similar procedure, except inoculate citrus leaves first and spray the compound 24 hours later. Each treatment should include 10\u0026ndash;15 leaves, and the experiment were repeated three times.\u003c/p\u003e\u003cp\u003e\u003cb\u003eAntifungal Bioassay\u003c/b\u003e \u003cb\u003eIn Vitro\u003c/b\u003e. The antifungal bioassay method for the target compound utilizes the growth rate method [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. The samples tested include Chlorothalonil, Carbendazim, DMSO and all target compounds. The commercialized fungicides Chlorothalonil and Carbendazim with a 50% active ingredient content were used as the positive controls, whereas DMSO in sterile distilled water was used as the negative control. Briefly, the testing samples were dissolved in a mixed solution of DMSO and water (10 mL), then diluted to the desired concentration with potato dextrose agar (PDA, 90.0 mL). Then, inoculate fungal cultures (5 mm) onto PDA agar plates and incubate the plates under controlled conditions (27 \u0026plusmn; 1℃) for 3\u0026ndash;5 days. Measure the radial growth of fungal colonies at regular intervals. Calculate the inhibition rate using the following formula.\u003c/p\u003e\u003cp\u003eInhibition rate \u003cem\u003eI\u003c/em\u003e (%) = [(C\u0026thinsp;\u0026minus;\u0026thinsp;T) / (C\u0026thinsp;\u0026minus;\u0026thinsp;0.5)] \u0026times; 100\u003c/p\u003e\u003cp\u003eC is the diameter of fungal growth on agar containing DMSO, T is the diameter of fungal growth on treated agar, and \u003cem\u003eI\u003c/em\u003e represents the inhibition rate. Each treatment condition consisted of three replicates.\u003c/p\u003e\u003cp\u003e\u003cb\u003eGrowth Inhibition Test of Compound E36 on Xac.\u003c/b\u003e Growth inhibition assays were performed by inoculating single colonies of Xac from fresh agar plates into nutrient broth (NB) medium, followed by incubation at 28\u0026deg;C with 180 rpm orbital shaking until reaching mid-log phase (OD\u003csub\u003e600\u003c/sub\u003e\u0026thinsp;\u0026asymp;\u0026thinsp;0.6). The cultures were then adjusted to an initial OD\u003csub\u003e600\u003c/sub\u003e of 0.1 and distributed into flasks containing NB medium supplemented with varying concentrations of \u003cb\u003eE36\u003c/b\u003e (0, 5, 10, and 20 mg/L), with triplicate cultures for each treatment condition. All cultures were incubated under identical conditions (28\u0026deg;C, 180 rpm), and bacterial growth was monitored spectrophotometrically at 4-hour intervals for 48 hours, using sterile NB medium as blank reference. Growth kinetics were analyzed by plotting OD\u003csub\u003e600\u003c/sub\u003e values against time to assess the concentration-dependent inhibitory effects of \u003cb\u003eE36\u003c/b\u003e on \u003cem\u003eXac\u003c/em\u003e proliferation.\u003c/p\u003e\u003cp\u003e\u003cb\u003eDetermination of Extracellular Polysaccharide.\u003c/b\u003e The impact of compound \u003cb\u003eE36\u003c/b\u003e on exopolysaccharide (EPS) production was assessed refer to the literature previously reported [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Briefly, the \u003cem\u003eXac\u003c/em\u003e bacteria were cultured in 100 mL NB medium containing \u003cb\u003eE36\u003c/b\u003e (5, 10, and 20mg/L) until the logarithmic phase of growth. The control group without \u003cb\u003eE36\u003c/b\u003e was used as the negative control. The bacterial culture medium was centrifuged (12000 \u0026times; g, 15 min, 4 ℃) to collect the supernatant, and 300 mL of cooled absolute alcohol was added to the filtrate. After thorough mixing, it was left to stand overnight at 4 ℃. The resulting precipitate was collected by centrifugation (8,000 \u0026times; g, 30 min, 4\u0026deg;C) and subsequently dissolved in 1 mL of water. For quantitative analysis, 100 \u0026micro;L aliquots were subjected to phenol-sulfuric acid assay, involving sequential addition of 5% (w/v) phenol solution and concentrated sulfuric acid (500 \u0026micro;L) with immediate vortexing. After 30 min incubation at room temperature, absorbance was measured at 490 nm. A standard curve generated using glucose solutions (0-100 mg/L) enabled quantification of total carbohydrate content. All experiments were performed in triplicate to ensure reproducibility.\u003c/p\u003e\u003cp\u003e\u003cb\u003eProteomic Analysis\u003c/b\u003e. The experiments and analysis of proteomics were completed by Shanghai Baiqu Biomedical Technology Co., Ltd. Here, we provided citrus leaves treated with DMSO and compound \u003cb\u003eE36\u003c/b\u003e after inoculation with \u003cem\u003eXac\u003c/em\u003e for 21 days.\u003c/p\u003e"},{"header":"RESULTS AND DISCUSSION","content":"\u003cp\u003e\u003cstrong\u003eChemistry.\u003c/strong\u003e Synthetic routes of target compounds \u003cstrong\u003eE1\u003c/strong\u003e\u0026thinsp;\u0026minus;\u0026thinsp;\u003cstrong\u003eE36\u003c/strong\u003e were depicted in \u003cstrong\u003eScheme 1\u003c/strong\u003e. All the target compounds were fully characterized by \u003csup\u003e1\u003c/sup\u003eH NMR, \u003csup\u003e13\u003c/sup\u003eC NMR, and HRMS. Taking compound \u003cstrong\u003eE1\u003c/strong\u003e as an example (dissolved in DMSO-\u003cem\u003ed\u003c/em\u003e\u003csub\u003e6\u003c/sub\u003e), a singlet at 4.27 and 5.66 ppm were assigned to the S-C\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eH\u003c/span\u003e\u003csub\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e2\u003c/span\u003e\u003c/sub\u003e and N-C\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eH\u003c/span\u003e\u003csub\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e2\u003c/span\u003e\u003c/sub\u003e proton signal in its \u003csup\u003e1\u003c/sup\u003eH NMR spectrum, respectively. In its \u003csup\u003e13\u003c/sup\u003eC NMR spectrum, two of the diagnostic aliphatic carbon signals were found at 38.07 and 36.62 ppm, respectively. Compound \u003cstrong\u003eE1\u003c/strong\u003e exhibited an intense peak at \u003cem\u003em/z\u003c/em\u003e\u0026thinsp;=\u0026thinsp;447.1629 in its mass spectrometry, assigned to the [M\u0026thinsp;+\u0026thinsp;H]\u003csup\u003e+\u003c/sup\u003e species.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAntibacterial Activities of Title Compounds.\u003c/strong\u003e The antibacterial activities toward four kinds of bacteria strains, including \u003cem\u003eXanthomonas axonopodis\u003c/em\u003e pv. \u003cem\u003eCitri\u003c/em\u003e (\u003cem\u003eXac\u003c/em\u003e), \u003cem\u003eXanthomonas oryzae\u003c/em\u003e pv. \u003cem\u003eorvzae\u003c/em\u003e (\u003cem\u003eXoo\u003c/em\u003e), \u003cem\u003eXanthomonas oryzae\u003c/em\u003e pv. \u003cem\u003eoryzicola\u003c/em\u003e (\u003cem\u003eXoc\u003c/em\u003e), and \u003cem\u003ePseudomonas svringae\u003c/em\u003e pv. \u003cem\u003eactinidiae\u003c/em\u003e (\u003cem\u003ePsa\u003c/em\u003e), were tested using the turbidimetric method. Preliminary antibacterial results displayed that most of the target compounds exhibit moderate to excellent antibacterial activities \u003cem\u003ein vitro\u003c/em\u003e (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). Compounds \u003cstrong\u003eE1\u003c/strong\u003e, \u003cstrong\u003eE3\u003c/strong\u003e, \u003cstrong\u003eE5\u003c/strong\u003e, \u003cstrong\u003eE21\u003c/strong\u003e, and \u003cstrong\u003eE36\u003c/strong\u003e could completely suppress the growth of \u003cem\u003eXac\u003c/em\u003e at 200 mg/L (the inhibition rate of 100%), which were better than those of \u003cstrong\u003eBMT\u003c/strong\u003e (89.8%) and \u003cstrong\u003eTDC\u003c/strong\u003e (64.2%). For anti-\u003cem\u003eXoo\u003c/em\u003e activity, compounds \u003cstrong\u003eE1\u003c/strong\u003e, \u003cstrong\u003eE25\u003c/strong\u003e, and \u003cstrong\u003eE36\u003c/strong\u003e also showed specific antibacterial effects with the inhibition rate of 87.1, 70.3 and 100.0%, respectively. For anti-\u003cem\u003eXoc\u003c/em\u003e activites, compounds \u003cstrong\u003eE1\u003c/strong\u003e, \u003cstrong\u003eE25\u003c/strong\u003e, and \u003cstrong\u003eE36\u003c/strong\u003e showed equivalent activity with the inhibition rate of 100.0, 98.5 and 93.3%, respectively. For anti-Psa activity, compounds \u003cstrong\u003eE1\u003c/strong\u003e and \u003cstrong\u003eE36\u003c/strong\u003e presented the corresponding rates of 100.0% and 98.7%, respectively, which were also superior to the inhibition rate of \u003cstrong\u003eBMT\u003c/strong\u003e (77.2%) and \u003cstrong\u003eTDC\u003c/strong\u003e (68.4%). Notably, only compound \u003cstrong\u003eE36\u003c/strong\u003e displayed broad-spectrum biological effects on all tested fungi and bacteria. Additionally this type of compounds showed the most significant inhibitory effect on \u003cem\u003eXac\u003c/em\u003e.\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003ePreliminary antibacterial activities of title compounds \u003cem\u003ein vitro\u003c/em\u003e.\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colspan=\"14\"\u003e\n \u003cp\u003eInhibition rate \u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eCompd.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cem\u003eXac\u003c/em\u003e \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cem\u003eXoo\u003c/em\u003e \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cem\u003eXoc\u003c/em\u003e \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cem\u003ePsa\u003c/em\u003e \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e200 \u003cem\u003emg/L\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e100 \u003cem\u003emg/L\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e200 \u003cem\u003emg/L\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e100 \u003cem\u003emg/L\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e200 \u003cem\u003emg/L\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e100 \u003cem\u003emg/L\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e200 \u003cem\u003emg/L\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100 \u003cem\u003emg/L\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e85.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e87.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e32.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;4.7\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e75.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e43.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e46.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e32.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e42.0\u0026thinsp;\u0026plusmn;\u0026thinsp;5.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e14.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e87.9\u0026thinsp;\u0026plusmn;\u0026thinsp;4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e53.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e42.8\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e76.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e8.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e3.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e75.0\u0026thinsp;\u0026plusmn;\u0026thinsp;5.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e66.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e96.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e60.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e62.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e49.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e30.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e15.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e79.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e44.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e54.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE5\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e61.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e40.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e8.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e83.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e49.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e90.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e49.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e7.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e66.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e53.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e39.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE7\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e67.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e33.5\u0026thinsp;\u0026plusmn;\u0026thinsp;4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e53.9\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e29.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e66.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e55.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e63.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE8\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.8\u0026thinsp;\u0026plusmn;\u0026thinsp;4.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e12.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e17.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e15.8\u0026thinsp;\u0026plusmn;\u0026thinsp;4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e43.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e34.4\u0026thinsp;\u0026plusmn;\u0026thinsp;4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e8.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE9\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e36.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e3.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e11.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e17.2\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e35.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e27.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e18.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE10\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e54.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e40.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e35.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e23.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e67.2\u0026thinsp;\u0026plusmn;\u0026thinsp;4.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e55.9\u0026thinsp;\u0026plusmn;\u0026thinsp;3.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e53.2\u0026thinsp;\u0026plusmn;\u0026thinsp;5.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE11\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e56.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e36.2\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e66.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e30.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e67.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e54.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e61.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e37.6\u0026thinsp;\u0026plusmn;\u0026thinsp;4.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE12\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e87.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e9.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;5.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e54.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e93.5\u0026thinsp;\u0026plusmn;\u0026thinsp;4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e62.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE13\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e23.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e28.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e25.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e78.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e49.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e55.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e46.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE14\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e79.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e51.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e20.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e19.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e84.7\u0026thinsp;\u0026plusmn;\u0026thinsp;4.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e72.0\u0026thinsp;\u0026plusmn;\u0026thinsp;4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e50.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE15\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e53.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e41.5\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e20.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e13.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e75.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e49.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e25.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.6\u0026thinsp;\u0026plusmn;\u0026thinsp;4.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE16\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e46.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e32.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e27.0\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e11.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e99.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e47.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e28.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE17\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e53.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e41.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e50.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e28.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e82.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e61.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e24.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE18\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e63.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e42.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e17.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e4.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e66.2\u0026thinsp;\u0026plusmn;\u0026thinsp;3.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e51.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e30.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE19\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e26.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e16.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e3.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e47.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e20.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e38.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE20\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e69.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e50.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e26.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e13.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e82.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e51.2\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e54.3\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE21\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e98.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e16.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e5.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e78.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e52.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e43.5\u0026thinsp;\u0026plusmn;\u0026thinsp;4.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e77.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e51.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e5.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e1.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e63.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e45.4\u0026thinsp;\u0026plusmn;\u0026thinsp;8.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e5.3\u0026thinsp;\u0026plusmn;\u0026thinsp;6.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE23\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e50.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e37.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e21.5\u0026thinsp;\u0026plusmn;\u0026thinsp;7.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e16.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e75.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e54.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e16.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE24\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e66.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e51.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e81.4\u0026thinsp;\u0026plusmn;\u0026thinsp;3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e91.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e53.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e38.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE25\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e99.4\u0026thinsp;\u0026plusmn;\u0026thinsp;4.4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e81.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e70.3\u0026thinsp;\u0026plusmn;\u0026thinsp;5.4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e27.7\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e98.5\u0026thinsp;\u0026plusmn;\u0026thinsp;5.5\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e59.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e66.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e40.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE26\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e93.8\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e52.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e54.2\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e19.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e57.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e43.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e49.8\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE27\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e50.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e37.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e34.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e19.4\u0026thinsp;\u0026plusmn;\u0026thinsp;4.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e73.9\u0026thinsp;\u0026plusmn;\u0026thinsp;4.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e53.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e26.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE28\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e62.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e30.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e28.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e24.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e66.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e39.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e39.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE29\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e53.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e30.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e16.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e4.2\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e55.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e36.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e18.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE30\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e66.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e46.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e19.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e7.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e78.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e50.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e47.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE31\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e91.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e49.9\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e68.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e39.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e68.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e55.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e64.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e46.4\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE32\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e47.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e35.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e28.5\u0026thinsp;\u0026plusmn;\u0026thinsp;6.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e17.9\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e49.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e24.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e29.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE33\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e62.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e40.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e40.2\u0026thinsp;\u0026plusmn;\u0026thinsp;6.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e14.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e46.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e27.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e61.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e44.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE34\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e63.7\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e42.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e14.8\u0026thinsp;\u0026plusmn;\u0026thinsp;3.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e9.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e46.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e28.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e27.7\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE35\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e92.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e85.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e25.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e12.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e83.3\u0026thinsp;\u0026plusmn;\u0026thinsp;4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e58.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e37.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE36\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e87.9\u0026thinsp;\u0026plusmn;\u0026thinsp;4.4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e93.3\u0026thinsp;\u0026plusmn;\u0026thinsp;4.4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e48.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e98.7\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e42.8\u0026thinsp;\u0026plusmn;\u0026thinsp;4.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eBMT\u003c/strong\u003e \u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e89.8\u0026thinsp;\u0026plusmn;\u0026thinsp;3.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e50.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e32.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e23.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e68.9\u0026thinsp;\u0026plusmn;\u0026thinsp;4.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e77.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e42.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eTDC\u003c/strong\u003e \u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e64.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e52.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNT \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNT \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e78.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e68.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e35.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Average of three replicates; \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e \u003cem\u003eXac\u003c/em\u003e\u0026thinsp;=\u0026thinsp;\u003cem\u003eXanthomonas axonopodis\u003c/em\u003e pv. \u003cem\u003ecitri\u003c/em\u003e; \u003cem\u003eXoo\u003c/em\u003e\u0026thinsp;=\u0026thinsp;\u003cem\u003eXanthomonas oryzae\u003c/em\u003e pv. \u003cem\u003eorvzae\u003c/em\u003e; Xoc\u0026thinsp;=\u0026thinsp;\u003cem\u003eXanthomonas oryzae\u003c/em\u003e pv. \u003cem\u003eoryzicola\u003c/em\u003e; Psa\u0026thinsp;=\u0026thinsp;\u003cem\u003ePseudomonas svringae\u003c/em\u003e pv. \u003cem\u003eactinidiae\u003c/em\u003e; \u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e \u003cstrong\u003eBMT\u003c/strong\u003e\u0026thinsp;=\u0026thinsp;Bismerthiazol; \u003cstrong\u003eTDC\u003c/strong\u003e\u0026thinsp;=\u0026thinsp;Thiodiazole-copper; \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e NT\u0026thinsp;=\u0026thinsp;Not tested.\u003c/p\u003e\n\u003cp\u003eBased on preliminary antibacterial activity results, EC\u003csub\u003e50\u003c/sub\u003e values of some target compounds were tested. As shown in Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e, this series of compounds exhibit excellent \u003cem\u003ein vitro\u003c/em\u003e antibacterial activities. Especially compound \u003cstrong\u003eE36\u003c/strong\u003e inhibited best anti-\u003cem\u003eXac\u003c/em\u003e effect with the EC\u003csub\u003e50\u003c/sub\u003e values of 9.4 mg/L, which were much better than those of \u003cstrong\u003eBMT\u003c/strong\u003e (70.5 mg/L) and \u003cstrong\u003eTDC\u003c/strong\u003e (96.0 mg/L). These results suggested that compound\u0026nbsp;\u003cstrong\u003eE36\u003c/strong\u003e could be considered as a new lead compound for developing efficient antibacterial and antifungal agent.\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eEC\u003csub\u003e50\u003c/sub\u003e values of some of the compounds against \u003cem\u003eXac\u003c/em\u003e\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eCompd.\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eToxic Regression Equation\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eCorrelation coefficient(\u003cem\u003er\u003c/em\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eEC\u003csub\u003e50\u003c/sub\u003e (\u003cem\u003emg/L\u003c/em\u003e) \u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003ey\u003c/em\u003e = 2.1199\u003cem\u003ex\u003c/em\u003e + 2.1170\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.9344\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003ey\u003c/em\u003e = 0.5574\u003cem\u003ex\u003c/em\u003e + 2.7654\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.9435\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e40.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE5\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003ey\u003c/em\u003e = 2.2715\u003cem\u003ex\u003c/em\u003e + 1.5697\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.9505\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE12\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003ey\u003c/em\u003e =2.6606\u003cem\u003ex\u003c/em\u003e + 1.5702\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.9415\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE21\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003ey\u003c/em\u003e = 2.8694\u003cem\u003ex\u003c/em\u003e + 1.2112\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.9592\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE25\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003ey\u003c/em\u003e =2.5628\u003cem\u003ex\u003c/em\u003e + 0.9172\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.9834\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE35\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003ey\u003c/em\u003e = 2.0927\u003cem\u003ex\u003c/em\u003e + 1.6878\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.9945\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e38.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE36\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003ey\u003c/em\u003e = 2.8531\u003cem\u003ex\u003c/em\u003e + 2.2250\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.9316\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eBMT\u003c/strong\u003e \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003ey\u003c/em\u003e = 2.1542\u003cem\u003ex\u003c/em\u003e + 1.0189\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.9370\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eTDC\u003c/strong\u003e \u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003ey\u003c/em\u003e = 2.1427\u003cem\u003ex\u003c/em\u003e + 0.7528\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.9906\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e96.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Average of three replicates; \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e \u003cstrong\u003eBMT\u0026thinsp;=\u003c/strong\u003e\u0026thinsp;Bismerthiazol; \u003csup\u003ec\u003c/sup\u003e \u003cstrong\u003eTDC\u003c/strong\u003e\u0026thinsp;=\u0026thinsp;Thiodiazole-coppe.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003eIn Vivo\u003c/strong\u003e \u003cstrong\u003eAnti-Xac Activities.\u003c/strong\u003e The in vivo antibacterial efficacy of compound E36 against citrus canker was evaluated under controlled greenhouse conditions. As demonstrated in Table \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e, at a concentration of 200 mg/L, compound \u003cstrong\u003eE36\u003c/strong\u003e exhibits a significant in vivo effect against \u003cem\u003eXac\u003c/em\u003e, displaying therapeutic and protective efficacies of 48.57% and 51.96%, respectively, which was surpassed those of thiodiazole copper (TDC, 44.67% and 45.85%) and approached the effectiveness of bismerthiazol (BMT, 57.92% and 56.53%).\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003ctable id=\"Tab3\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eCurative and protective activities of \u003cstrong\u003eE36\u003c/strong\u003e against \u003cem\u003eXac\u003c/em\u003e at 200 mg/L.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eDeals\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eCurative effects (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eProtective effects (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eDisease index\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eInhibition rate \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eDisease index\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eInhibition rate \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eE36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e48.57 \u0026plusmn; 2.34b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e51.96 \u0026plusmn; 2.29a\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eBMT \u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e57.92 \u0026plusmn; 2.34a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e56.53 \u0026plusmn; 4.58a\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTDC \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e37.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e44.67 \u0026plusmn; 3.57c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e37.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e45.85 \u0026plusmn; 4.76b\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCK \u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e67.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e/\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e69.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e/\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 569px;\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e BMT\u0026thinsp;=\u0026thinsp;bismerthiazol; \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e TDC\u0026thinsp;=\u0026thinsp;thiodiazole copper; \u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e CK\u0026thinsp;=\u0026thinsp;blank control; \u003csup\u003e\u003cem\u003ed\u003c/em\u003e\u003c/sup\u003e The statistical analysis was conducted by ANOVA method at the condition of equal variances assumed (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05) and equal variances not assumed (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Different lowercase letters indicate the values of curative activity with significantly difference among different treatment groups at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePreliminary Antifungal Activities of Title Compounds.\u003c/strong\u003e The antifungal activities of various fungi including \u003cem\u003eSclerotinia sclerotiorum\u003c/em\u003e (SS), \u003cem\u003eMagnaporthe oryzae\u003c/em\u003e (MO), \u003cem\u003eAlternaria solani\u003c/em\u003e (AS), \u003cem\u003eGibberella zeae\u003c/em\u003e (GZ), \u003cem\u003eRhizoctonia solani\u003c/em\u003e (RS), \u003cem\u003eCytospora mandshurica\u003c/em\u003e (CM), \u003cem\u003eFusarium oxysporum\u003c/em\u003e (FO), \u003cem\u003eColletotrichum gloeosporioides\u003c/em\u003e (CG), and \u003cem\u003eVerticillium dahlia\u003c/em\u003e (VD), were evaluated using the growth rate method. Preliminary antifungal results displayed that this series of compounds exhibit poor to moderate antifungal activities \u003cem\u003ein vitro\u003c/em\u003e (Table \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). Notably, compound \u003cstrong\u003eE36\u003c/strong\u003e exerted a selective and specific antifungal effect on \u003cem\u003eVerticillium dahlia\u003c/em\u003e with the inhibition rate of 91.4% at 50 \u003cem\u003emg/L\u003c/em\u003e, which was better than those of Chlorothalonil (73.1%) and Carbendazim (83.0%). Meanwhile, compound \u003cstrong\u003eE36\u003c/strong\u003e also inhibited moderate antifungal activities on \u003cem\u003eFusarium oxysporum\u003c/em\u003e and \u003cem\u003eColletotrichum gloeosporioides\u003c/em\u003e with the inhibition rate of 35.9 and 52.1%, respectively.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003ctable id=\"Tab4\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eAntifungal activities of compounds \u003cstrong\u003eE1-E36\u003c/strong\u003e at 50 mg/L in vitro\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eCompd.\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"9\"\u003e\n \u003cp\u003eInhibition rate \u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSS \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMO \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAS \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eGZ \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRS \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVM \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eFO \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eCG \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVD \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.7\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e44.0\u0026thinsp;\u0026plusmn;\u0026thinsp;4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.5\u0026thinsp;\u0026plusmn;\u0026thinsp;4.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE5\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.6\u0026thinsp;\u0026plusmn;\u0026thinsp;4.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e46.7\u0026thinsp;\u0026plusmn;\u0026thinsp;4.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE7\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.9\u0026thinsp;\u0026plusmn;\u0026thinsp;4.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE8\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE9\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.1\u0026thinsp;\u0026plusmn;\u0026thinsp;5.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE10\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.9\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE11\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e43.2\u0026thinsp;\u0026plusmn;\u0026thinsp;3.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE12\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE13\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.2\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.3\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE14\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.4\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE15\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE16\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE17\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.7\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE18\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.8\u0026thinsp;\u0026plusmn;\u0026thinsp;4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE19\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE20\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.5\u0026thinsp;\u0026plusmn;\u0026thinsp;4.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23.9\u0026thinsp;\u0026plusmn;\u0026thinsp;4.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE21\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE22\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.8\u0026thinsp;\u0026plusmn;\u0026thinsp;3.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.9\u0026thinsp;\u0026plusmn;\u0026thinsp;4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE23\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.5\u0026thinsp;\u0026plusmn;\u0026thinsp;4.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e42.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE24\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.8\u0026thinsp;\u0026plusmn;\u0026thinsp;3.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.6\u0026thinsp;\u0026plusmn;\u0026thinsp;4.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e50.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE25\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE26\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.3\u0026thinsp;\u0026plusmn;\u0026thinsp;4.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.3\u0026thinsp;\u0026plusmn;\u0026thinsp;4.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.6\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE27\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE28\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.9\u0026thinsp;\u0026plusmn;\u0026thinsp;3.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27.4\u0026thinsp;\u0026plusmn;\u0026thinsp;3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.9\u0026thinsp;\u0026plusmn;\u0026thinsp;4.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE29\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.9\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE30\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE31\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.5\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e51.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.9\u0026thinsp;\u0026plusmn;\u0026thinsp;3.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE32\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE33\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e58.4\u0026thinsp;\u0026plusmn;\u0026thinsp;4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE34\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e43.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e36.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eE35\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.1\u0026thinsp;\u0026plusmn;\u0026thinsp;3.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.6\u0026thinsp;\u0026plusmn;\u0026thinsp;3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eE36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e35.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e52.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e91.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eChl. \u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e65.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e48.7\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e76.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e89.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e93.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e72.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e89.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e73.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCarb. \u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e98.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e51.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e77.8\u0026thinsp;\u0026plusmn;\u0026thinsp;5.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e78.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e83.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e\u003cem\u003ea\u003c/em\u003e\u003c/sup\u003e Average of three trials; \u003csup\u003e\u003cem\u003eb\u003c/em\u003e\u003c/sup\u003e The commercial fungicides were employed for comparison. Abbreviations: SS\u0026thinsp;=\u0026thinsp;\u003cem\u003eSclerotinia sclerotiorum\u003c/em\u003e; MO\u0026thinsp;=\u0026thinsp;\u003cem\u003eMagnaporthe oryzae\u003c/em\u003e; AS\u0026thinsp;=\u0026thinsp;\u003cem\u003eAlternaria solani\u003c/em\u003e; GZ\u0026thinsp;=\u0026thinsp;\u003cem\u003eGibberella zeae\u003c/em\u003e; RS\u0026thinsp;=\u0026thinsp;\u003cem\u003eRhizoctonia solani\u003c/em\u003e; VM\u0026thinsp;=\u0026thinsp;\u003cem\u003eValsa mail\u003c/em\u003e; FO\u0026thinsp;=\u0026thinsp;\u003cem\u003eFusarium oxysporum\u003c/em\u003e; CG\u0026thinsp;=\u0026thinsp;\u003cem\u003eColletotrichum gloeosprioides\u003c/em\u003e; VD\u0026thinsp;=\u0026thinsp;\u003cem\u003eVerticillium dahlia\u003c/em\u003e; \u003csup\u003e\u003cem\u003ec\u003c/em\u003e\u003c/sup\u003e Commercialized fungicides Chlorothalonil (50%) and Carbendazim (50%).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInhibitory Effect of Compound E36 on EPS.\u003c/strong\u003e We assessed the impact of compound \u003cstrong\u003eE36\u003c/strong\u003e on the production of EPS, as depicted in Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ea and \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003eb, revealing that compound \u003cstrong\u003eE36\u003c/strong\u003e exerted a signiffcant inhibitory effect on EPS synthesis. The data revealed that compound \u003cstrong\u003eE36\u003c/strong\u003e markedly hindered the formation of EPS, with production of 1.03, 0.83, 0.72 and 0.58mg/mL at concentrations of 0, 5, 10 and 20 mg/L, respectively. These ffndings suggest that compound \u003cstrong\u003eE36\u003c/strong\u003e had the capacity to suppress EPS production, which in turn impedes the bacterial proliferation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eGrowth and Motility Inhibition of Compound E36 on\u003c/strong\u003e \u003cstrong\u003eXac\u003c/strong\u003e. We investigated the inffuence of compound E36 on the growth of Xac at concentrations of 5, 10, and 20 mg/L, as illustrated in Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ec. The results showed that at concentrations of 5, 10, and 20 mg/L, E36 significantly inhibited the growth and reproduction of Xac bacteria, with the most pronounced effect observed at 20 mg/L. Meanwhile, we evaluated the inhibitory effect of compound E36 on Xac motility at concentrations of 10, 20, 40, 60, and 80 mg/L, as illustrated in Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003eD. The results showed that higher concentrations of E36 led to a more pronounced suppression of bacterial movement. These findings suggest that compound E36 may play a regulatory role in bacterial growth and motility.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eProteomics Analysis\u003c/strong\u003e. To investigate the regulatory role and antibacterial mechanism of compound \u003cstrong\u003eE36\u003c/strong\u003e against \u003cem\u003eXac\u003c/em\u003e, this study conducted label-free quantitative proteomic analysis of citrus leaves inoculated with \u003cem\u003eXac\u003c/em\u003e and treated with \u003cstrong\u003eE36\u003c/strong\u003e. A total of 7,991 proteins were detected, among which 260 were differentially expressed under \u003cstrong\u003eE36\u003c/strong\u003e stimulation (157 upregulated with fold change\u0026thinsp;\u0026ge;\u0026thinsp;1.2 and 103 downregulated with fold change\u0026thinsp;\u0026le;\u0026thinsp;0.83) (Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003ea, \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003eb, \u003cstrong\u003eand Table \u003cspan class=\"InternalRef\"\u003eS1\u003c/span\u003e\u003c/strong\u003e). KOG hierarchical clustering analysis revealed that most differentially expressed proteins (DEPs) were functionally associated with post-translational modification, protein turnover, energy production and conversion, translation, and ribosome biogenesis (Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003ec). Subcellular localization analysis indicated that 52% of DEPs were secretion-related, while 51% were localized in the cytoplasm, 49% in the nucleus, and 29% in chloroplasts (Fig. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003eb). Gene Ontology (GO) annotation analysis (covering molecular functions, MF; biological processes, BP; and cellular components, CC) elucidated the biological roles of the DEPs (Fig. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003ea). BP analysis showed that DEPs were primarily involved in glucose metabolic process, establishment of protein localization to membrane, and gluconeogenesis. CC analysis indicated enrichment in intracellular anatomical structures, cytoplasm, chloroplasts, and plastids. MF analysis demonstrated that DEPs were associated with ubiquitin binding, ubiquitin-like protein binding, and fructose-1,6-bisphosphate 1-phosphatase activity. KEGG pathway enrichment analysis revealed that DEPs were most significantly enriched in Photosynthesis, Metabolic pathways, Oxidative phosphorylation, and Carbon metabolism (Fig. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003ec, \u003cstrong\u003eTable S2\u003c/strong\u003e). Based on the above results, we speculate that compound E36 attenuates the pathogenicity of Xac by suppressing bacterial EPS production, while enhancing host disease resistance through upregulation of citrus rbcL protein expression, thereby promoting carbon fixation and photosynthetic efficiency of citrus (Fig. \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eIn summary, a series of novel 9-((5-(substitutethio)-4-phenyl-4H-1,2,4-triazol-3-yl)methyl)-9H-carbazole derivatives with potential antibacterial and antifungal activities were designed. The lead compound E36 demonstrated significant antibacterial efficacy against \u003cem\u003eXac\u003c/em\u003e, with EC\u003csub\u003e50\u003c/sub\u003e values of 9.4 mg/L in vitro. In vivo assessments revealed superior disease control efficacy, with therapeutic and protective effects reaching 48.57% and 51.96%, respectively, at 200 mg/L, outperforming the commercial agent TDC and showing comparable activity to BMT. Remarkably, E36 also exhibited potent broad-spectrum antifungal activity, showing 91.4% inhibition against V \u003cem\u003eVerticillium dahliae\u003c/em\u003e at a concentration of 50 mg/L, which was outperforming conventional fungicides Chlorothalonil (73.1%) and Carbendazim (83.0%). Mechanistic studies reveal E36\u0026apos;s multimodal action, including suppression of Xac motility and extracellular polysaccharide production, while simultaneously enhancing citrus photosynthesis, carbon fixation, and innate plant immunity to combat pathogen invasion. These findings position E36 as a promising candidate for integrated plant disease management strategies.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003ch2\u003eConflicts of interest\u003c/h2\u003e\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eA.Z. conducted most of the experiments and wrote the main manuscript text. H.Q. and D.W. contributed to the synthesis of compounds. G.Y. and H.Z. contributed to the bioactivities assay of compounds. L.T. contributed to the revision of the manuscript. L.Y. and X.S. conceptualized and directed the project and drafted the manuscript with assistance from all co-authors. All authors contributed to part of the experiments and/or discussions. All authors reviewed the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgments\u003c/h2\u003e\u003cp\u003eThis work was supported by Guizhou Provincial Science and Technology Foundation (No. Qiankehe Basic-MS[2025] 654), Guizhou Provincial Science and Technology Plan Project (No. Qiankehe Basic-[2024] Youth 236) and High-level Talent Start-up Fund Project of Guizhou Medical University (No. Xiaobohe J-[2024]-15).\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eZhang YC, Zou YN, Liu LP, Wu QS (2019) Common mycorrhizal networks activate salicylic acid defense responses of trifoliate orange (Poncirus trifoliata). J Integr Plant Biol 61:1099\u0026ndash;1111. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/jipb.12743\u003c/span\u003e\u003cspan address=\"10.1111/jipb.12743\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLi W, Li Z, Huang J, Xu M, Zheng Z, Deng X (2022) Characterization of Xanthomonas citri pv. citri from China based on spoligotyping. Horticult. Plant J 8:727\u0026ndash;736. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.hpj.2022.02.003\u003c/span\u003e\u003cspan address=\"10.1016/j.hpj.2022.02.003\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eZhang YQ, Wang X, Shi H, Siddique F, Xian J, Song A, Wang B, Wu Z, Cui ZN (2024) Design and synthesis of mandelic acid derivatives for suppression of virulence via T3SS against citrus canker. J Agric Food Chem 72:9611\u0026ndash;9620. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.jafc.3c07681\u003c/span\u003e\u003cspan address=\"10.1021/acs.jafc.3c07681\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMoreira-Martins PM, Oliveira-Andrade M, Benedetti CE, Souza AA (2020) Xanthomonas citri subsp. citri: host interaction and control strategies. Trop Plant Pathol 45:213\u0026ndash;236. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.jafc.3c07681\u003c/span\u003e\u003cspan address=\"10.1021/acs.jafc.3c07681\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eHap IU, Khan M, Khan I (2024) Phytopathological management through bacteriophages: enhancing food security amidst climate change. J Ind Microbiol Biotechnol 51:kuae031. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/jimb/kuae031\u003c/span\u003e\u003cspan address=\"10.1093/jimb/kuae031\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eGao F, Wang T, Xiao J, Huang G (2019) Antibacterial activity study of 1,2,4-triazole derivatives. Eur J Med Chem 173:274\u0026ndash;281. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ejmech.2019.04.043\u003c/span\u003e\u003cspan address=\"10.1016/j.ejmech.2019.04.043\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDing YY, Zhou H, Deng P, Zhang BQ, Zhang ZJ, Wang GH, Zhang SY, Wu ZR, Wang YR (2023) Antimicrobial activity of natural and semi-synthetic carbazole alkaloids. Eur J Med Chem 259:115627. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ejmech.2023.115627\u003c/span\u003e\u003cspan address=\"10.1016/j.ejmech.2023.115627\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePaneth A, Traczek T, Grzegorczyk A, Janowska D, Malm A, Paneth P (2017) A search for dual action HIV-1 reverse transcriptase, bacterial RNA polymerase inhibitors. Molecules 22:1808. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/molecules22111808\u003c/span\u003e\u003cspan address=\"10.3390/molecules22111808\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eFan Z, Shi J, Bao X (2018) Synthesis and antimicrobial evaluation of novel 1,2,4-triazole thioether derivatives bearing a quinazoline moiety. Mol Divers 22:657\u0026ndash;667. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s11030-018-9821-8\u003c/span\u003e\u003cspan address=\"10.1007/s11030-018-9821-8\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eChen Y, Li P, Su S, Chen M, He J, Liu L, He M, Wang H, Xue W (2019) Synthesis and antibacterial and antiviral activities of myricetin derivatives containing a 1,2,4-triazole Schiff base. RSC Adv 9:23045\u0026ndash;23052. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1039/C9RA05139B\u003c/span\u003e\u003cspan address=\"10.1039/C9RA05139B\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eFan Z, Shi J, Luo N, Ding M, Bao X (2019) Synthesis, crystal structure, and agricultural antimicrobial evaluation of novel quinazoline thioether derivatives incorporating the 1,2,4-triazolo[4,3-a]pyridine moiety. J Agric Food Chem 67:11598\u0026ndash;11606. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.jafc.9b04733\u003c/span\u003e\u003cspan address=\"10.1021/acs.jafc.9b04733\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eShi J, Ding M, Luo N, Wan S, Li P, Li J, Bao X (2020) Design, synthesis, crystal structure, and antimicrobial evaluation of 6-fluoroquinazolinylpiperidinyl containing 1,2,4-Triazole mannich base derivatives against phytopathogenic bacteria and fungi. J Agric Food Chem 68:9613\u0026ndash;9623. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.jafc.0c01365\u003c/span\u003e\u003cspan address=\"10.1021/acs.jafc.0c01365\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eShao WB, Wang PY, Fang ZM, Wang JJ, Guo DX, Ji J, Zhou X, Qi PY, Liu LW, Yang S (2021) Synthesis and biological evaluation of 1,2,4-triazole thioethers as both potential virulence factor inhibitors against plant bacterial diseases and agricultural antiviral agents against Tobacco Mosaic Virus infections. J Agric Food Chem 69:15108\u0026ndash;15122. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.jafc.1c05202\u003c/span\u003e\u003cspan address=\"10.1021/acs.jafc.1c05202\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eFei Q, Liu C, Luo Y, Chen H, Ma F, Xu S, Wu W (2024) Rational design, synthesis, and antimicrobial evaluation of novel 1,2,4-trizaole\u0026ndash;substituted 1,3,4-oxadiazole derivatives with a dual thioether moiety. Mol Divers 29:255\u0026ndash;267. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s11030-024-10848-2\u003c/span\u003e\u003cspan address=\"10.1007/s11030-024-10848-2\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAshok D, Ravi S, Ganesh A, Lakshmi BV, Adam S, Murthy SD (2016) Microwave-assisted synthesis and biological evaluation of carbazole-based chalcones, aurones and flavones. Med Chem Res 25:909\u0026ndash;922. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s00044-016-1537-7\u003c/span\u003e\u003cspan address=\"10.1007/s00044-016-1537-7\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLin S, Liu J, Li H, Liu Y, Chen Y, Luo J, Liu S (2020) Development of highly potent carbazole amphiphiles as membrane-targeting antimicrobials for treating gram-positive bacterial infections. J Med Chem 63:9284\u0026ndash;9299. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.jmedchem.0c00433\u003c/span\u003e\u003cspan address=\"10.1021/acs.jmedchem.0c00433\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eXue YJ, Li MY, Jin XJ, Zheng CJ, Piao HR (2021) Design, synthesis and evaluation of carbazole derivatives as potential antimicrobial agents. J Enzyme Inhib Med Chem 36:296\u0026ndash;307. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/14756366.2020.1850713\u003c/span\u003e\u003cspan address=\"10.1080/14756366.2020.1850713\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eXue YJ, Li MY, Jin XJ, Zheng CJ, Piao HR (2021) Design, synthesis and evaluation of carbazole derivatives as potential antimicrobial agents. J Enzyme Inhib Med Chem 36:296\u0026ndash;307. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/14756366.2020.1850713\u003c/span\u003e\u003cspan address=\"10.1080/14756366.2020.1850713\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eChen CH, Liu CS, Guo XM, Tong JP, Huang J, Shi TT, Sun J (2024) Design, synthesis, and biological evaluation of carbazole derivatives as potent antibacterial agents targeting membrane function via FabH Inhibition. J Mol Struct 1306:137891. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.molstruc.2024.137891\u003c/span\u003e\u003cspan address=\"10.1016/j.molstruc.2024.137891\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSalih N, Salimon J, Yousif E (2016) Synthesis and antimicrobial activities of 9H-carbazole derivatives. Arab J Chem 9:S781\u0026ndash;S786. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi:10.1016/j.arabjc.2011.08.013\u003c/span\u003e\u003cspan address=\"https://doi:10.1016/j.arabjc.2011.08.013\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLi JZ, Liu Q, Li S, Zeng L, Yao JH, Li HD, Shen ZJ, Lu FN, Wu ZX, Song BA, Song RJ (2024) Design, synthesis, antibacterial activity, and mechanisms of novel benzofuran derivatives containing disulfide moieties. J Agric Food Chem 72:10195\u0026ndash;10205. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.jafc.3c08392\u003c/span\u003e\u003cspan address=\"10.1021/acs.jafc.3c08392\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eChen XC, Niu X, Li LJ, Chen K, Song DD, Chen B, Yang S, Wu ZB (2024) Design, synthesis, and target identification of novel phenylalanine derivatives by drug affinity responsive target stability (DARTS) in Xanthomonas oryzae pv. oryzae. J Agric Food Chem 72:3436\u0026ndash;3444. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.jafc.3c09267\u003c/span\u003e\u003cspan address=\"10.1021/acs.jafc.3c09267\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eZhu M, Li Y, Long XS, Wang CY, Ouyang GP, Wang ZC (2022) Antibacterial activity of allicin-inspired disulfide derivatives against Xanthomonas axonopodis pv. citri. Int J Mol Sci 23:11947. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/ijms231911947\u003c/span\u003e\u003cspan address=\"10.3390/ijms231911947\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eYang L, Ge S, Huang J, Bao X (2018) Synthesis of novel (E)-2-(4-(1H-1,2,4-triazol-1-yl)-styryl)-4-(alkyl/arylmethyleneoxy) quinazoline derivatives as antimicrobial agents. Mol Divers 22:71\u0026ndash;82. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s11030-017-9792-1\u003c/span\u003e\u003cspan address=\"10.1007/s11030-017-9792-1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eYang L, Ding M, Shi J, Luo N, Wang Y, Lin D, Bao X (2024) Design, synthesis, X-ray crystal structure, and antimicrobial evaluation of novel quinazolinone derivatives containing the 1,2,4-triazole Schiff base moiety and an isopropanol linker. Mol Divers 28:3215\u0026ndash;3224. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s11030-023-10749-w\u003c/span\u003e\u003cspan address=\"10.1007/s11030-023-10749-w\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePan X, Xu S, Wu J, Luo J, Duan Y, Wang J, Zhang F, Zhou M (2018) Screening and characterization of Xanthomonas oryzae pv. oryzae strains with resistance to pheazine-1-carboxylic acid. Pestic Biochem Phys 145:8\u0026ndash;14. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.pestbp.2017.12.003\u003c/span\u003e\u003cspan address=\"10.1016/j.pestbp.2017.12.003\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eZhang Y, Luo X, Zhu M, Zhou Y, Liu X, Chen J (2025) Design, synthesis, and antibacterial activity of novel sulfone derivatives containing a 1,2,4-triazolo[4,3-a]pyridine moiety. J Agric Food Chem 73:1813\u0026ndash;1823. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.jafc.4c07237\u003c/span\u003e\u003cspan address=\"10.1021/acs.jafc.4c07237\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"molecular-diversity","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"modi","sideBox":"Learn more about [Molecular Diversity](http://link.springer.com/journal/11030)","snPcode":"11030","submissionUrl":"https://submission.nature.com/new-submission/11030/3","title":"Molecular Diversity","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"synthesis, 1,2,4-triazole thioethers, carbazole, Xac, antibacterial activities","lastPublishedDoi":"10.21203/rs.3.rs-7287080/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7287080/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCarbazole and triazole derivatives exhibit diverse biological activities and pharmacological properties. Herein, we report a series of novel 1,2,4-triazole thioethers containing carbazole moiety and evaluate their biological activities. The results showed that some titles exhibit excellent antibacterial activities against \u003cem\u003eXanthomonas axonopodis pv. citri\u003c/em\u003e (\u003cem\u003eXac\u003c/em\u003e) \u003cem\u003ein vitro\u003c/em\u003e. In particular, \u003cb\u003eE36\u003c/b\u003e exhibits the most excellent antibacterial effect against \u003cem\u003eXac\u003c/em\u003e, with EC\u003csub\u003e50\u003c/sub\u003e values of 9.4 mg/L, which was significantly better than the control drugs Bismerthiazol (BMT, EC\u003csub\u003e50\u003c/sub\u003e values of 70.5 mg/L) and Thiodiazole-copper (TDC, EC\u003csub\u003e50\u003c/sub\u003e values of 96.0 mg/L). Meanwhile, E36 exhibits a significant in vivo effect against \u003cem\u003eXac\u003c/em\u003e, with the therapeutic and protective efficacy of 48.57% and 51.96%, respectively, at a concentration of 200 mg/L, which was superior to TDC and equivalent to BMT. Additionally, \u003cb\u003eE36\u003c/b\u003e also exhibits exciting antifungal activity against \u003cem\u003eVerticillium dahliae\u003c/em\u003e. Our study further demonstrates that compound E36 attenuates the pathogenicity of \u003cem\u003eXac\u003c/em\u003e by suppressing bacterial motility and extracellular polysaccharide (EPS) production, while it enhances host disease resistance by upregulating the expression of the citrus rbcL protein, thereby promoting carbon fixation and improving photosynthetic efficiency. This work indicates that 1,2,4-triazole thioethers containing carbazole moiety has the potential to be developed as a novel germicide.\u003c/p\u003e","manuscriptTitle":"Novel Carbazole-Triazole-Thioether Conjugates as Multifunctional Antimicrobial Agents against Phytopathogen","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-08-13 15:11:59","doi":"10.21203/rs.3.rs-7287080/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-09-10T07:11:06+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-09-09T14:41:04+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"252776599298759481582497810764553162750","date":"2025-09-08T12:18:39+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-09-04T10:35:52+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"179011380476918097473137786260718961700","date":"2025-09-01T16:50:56+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"68871728047096649951148106391321506390","date":"2025-09-01T16:00:38+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"203852490869877102612066331524059962516","date":"2025-09-01T11:33:14+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"223745463733506938410855807346164715807","date":"2025-08-11T03:06:33+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"36748870407676218476130194114162313861","date":"2025-08-10T06:25:09+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-08-08T06:07:58+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-08-04T17:20:11+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-08-04T14:58:57+00:00","index":"","fulltext":""},{"type":"submitted","content":"Molecular Diversity","date":"2025-08-04T05:16:21+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"molecular-diversity","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"modi","sideBox":"Learn more about [Molecular Diversity](http://link.springer.com/journal/11030)","snPcode":"11030","submissionUrl":"https://submission.nature.com/new-submission/11030/3","title":"Molecular Diversity","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"389190f3-d6c2-48bc-b14c-53069004714a","owner":[],"postedDate":"August 13th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-10-13T16:08:52+00:00","versionOfRecord":{"articleIdentity":"rs-7287080","link":"https://doi.org/10.1007/s11030-025-11377-2","journal":{"identity":"molecular-diversity","isVorOnly":false,"title":"Molecular Diversity"},"publishedOn":"2025-10-06 15:58:27","publishedOnDateReadable":"October 6th, 2025"},"versionCreatedAt":"2025-08-13 15:11:59","video":"","vorDoi":"10.1007/s11030-025-11377-2","vorDoiUrl":"https://doi.org/10.1007/s11030-025-11377-2","workflowStages":[]},"version":"v1","identity":"rs-7287080","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7287080","identity":"rs-7287080","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}