Synergistic interactions of assorted bacterial and fungal agents with biochar ameliorate Vigna radiate L. growth and amino acids adjustment under mercury stress

Synergistic interactions of assorted bacterial and fungal agents with biochar ameliorate Vigna radiate L. growth and amino acids adjustment under mercury stress | 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 Synergistic interactions of assorted bacterial and fungal agents with biochar ameliorate Vigna radiate L. growth and amino acids adjustment under mercury stress sina Siavash Moghaddam, Shirwan Malaie, Latifeh Pourakbar, Jianbo Xiao, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4554922/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 05 May, 2025 Read the published version in Acta Physiologiae Plantarum → Version 1 posted 4 You are reading this latest preprint version Abstract Mercury (Hg) as an abiotic stressor poses significant challenges to plant growth. This study investigates the response of Mung bean plants to three levels of Hg stress (0, 20, and 40 mg/L) using a hydroponic system, inoculated with microbial biostimulators. The two-factorial experiment focused on plant growth, total soluble sugars (TSS), and free amino acids. Results indicated a decrease in plant biomass with increasing in stress severity. Under moderate stress (20 mg/L Hg), arbuscular mycorrhizae (AM) were effective in preserving biomass, while under severe stress (40 mg/L Hg), a combination of biochar, AM, and bacterial biostimulants (BAB) was most effective. The highest biomass was recorded by combined treatment of bacteria and AM (BaAM) although it dropped sharply under stress conditions. Except for BaAM, TSS content increased in all moderate stress treatments, particularly with AM, and was notably enhanced by BAB under severe stress. Mung bean plant generally increased the amount of Pro, Phe, Tyr, Trp, Asn, Gly, and Val exposed to Hg stress, while Asp decreased across all stress treatments. Higher Hg tolerance was linked to greater accumulation of TSS and specific free amino acids like Pro, Phe, and Asn. The interaction with microbial inoculation suggests that Mung bean plants adapt to mercury toxicity by altering their sugar and amino acid profiles, which serve as multifunctional molecules and precursors for stress resistance metabolites. total soluble sugars mercury stress arbuscular mycorrhizae bacterial biostimulants biochar Figures Figure 1 Figure 2 Figure 3 1. Introduction Life on Earth has been greatly affected by various pollutions which is increasing sharply through urbanization and industrialization. Meanwhile, soil contamination with heavy metals, especially mercury, is one of today's issues that has challenged life on earth (H. Zhang et al, 2018 ). Owing to its negative impacts on both human and environmental health, mercury leakage into the environment has drawn a lot of attention from researchers and governmental organizations (Tiodar et al, 2021 ). In addition, Hg toxicity has been placed third on the substance priority list updated by the Agency for Toxic Substances and Disease Registry (ATSDR, 2021 ). The Hg toxicity symptoms in plants involve inhibition of plant growth, effects on photosynthesis, imbalance of nutrients, oxidative stress, and lipid peroxidation (Abbasi et al, 2023 ). When plants are exposed to heavy metals, they produce a variety of low-molecular-weight compounds, especially certain free amino acids that are known as compatible solutes. Additionally, they play numerous roles, including radical scavengers, ion transport regulators, stomatal modulation, heavy metal detoxification, and signaling (Pavlíková et al, 2014 ). Amino acids act as precursors and functional components of proteins and other nitrogen-containing compounds. Therefore, the changes that occur in them as a result of various stress factors are significant for plant metabolism (Zhu et al, 2018 ). Following heavy metal exposure, some plant species show higher concentrations of amino acids like histidine, proline, cysteine, and glycine (Rai, 2002 ; Mousavi et al, 2022 ; Dwivedi et al, 2010 ; Mohammadi et al, 2021 ). Moreover, Zhu et al, 2018 found that increased accumulation of free amino acids, particularly Glutamine and Asparagine, was associated with enhanced cadmium tolerance in C. crepidioides plant. Amino acid metabolism plays a major role in a plant's ability to withstand heavy metal stress. Recently, alternative eco-friendly management strategies have caught the attention of the scientific community. The potential to replace agrochemicals with plant growth-promoting rhizobacteria (PGPR) and mycorrhizae is a big option. Because of the various plant growth-promoting activities, PGPR and mycorrhizae are becoming more significant to improve soil properties.(Choudhary et al, 2019 ). There are numerous studies that support the use of AM and PGPR to improve plant development and resistance to heavy metal stress (Arshad et al, 2007 ; Gontia-Mishra et al, 2014 ; Pietro-Souza et al, 2017 ; Gonin et al, 2023 ). Diverse processes by which PGPR influences plant growth under Hg stress contribute to mercury uptake and plant resistance (Franchi et al, 2017 ). Additionally, they improve nutritional absorption due to N2 fixation and dissolution of phosphorus, potassium and zinc (Sapre et al, 2019 ; Moradzadeh et al, 2021 ). Mycorrhizae are beneficial microorganisms that invade plant roots and exhibit mutualistic symbiosis (Smith et al, 2011 ; Alizadeh et al, 2021 ). Mycorrhizae can grow inside or on the surface of the roots of many different types of plants. A recent study on the impact of AM on metabolite alteration suggested that AM inoculation under lead stress resulted in sucrose transport, boost sucrose cleavage in roots and increased accumulation of minor amino acids ( Zhang et al, 2020 ). Studies point to the capability of biochar to absorb organic and inorganic pollutants and reduce their mobility and bioavailability in the soil (Beesley & Marmiroli, 2011 ; Beckers et al, 2019 ). Karami et al, ( 2011 ), reported that the applying of biochar in a soil contaminated with heavy metals reduced the concentration of copper and lead in the soil and decreased the bioavailability of these two elements. By applying a combination of eco-friendly modifiers, our study attempts to address the stress challenge brought on by Hg contamination. Through the use of biochar and microbial biostimulants, this study provides a broader understanding of amino acids and TSS adjustments in response to different intensities of Hg stress. 2. Materials and methods The seeds were sterilized with 10% sodium hypochlorite for 5 minutes and then washed five times with sterilized water. They were divided into 5 groups in a petri dish. Then bacterial and fungal inoculum were prepared in separate containers and sprayed on the seeds exactly. The stimulators were prepared as follows: Bacteria ( Ba ): biological NPK and ZnFe Including, Nitrogen reducing bacteria (Pantoea agglomerans strain O4) , Phosphorus dissolving (Pseudomonas putida strain P13, Pantoea agglomerans strain P5), Potassium dissolving (Pseudomonas vancouverensis strain S19, Pseudomonas koreensis strain S14) , Zinc-dissolving bacteria and iron preparation ( Pseudomonas japonica FZ.21 − 1, Pseudomonas japonica FZ.29 − 1) ; Arbuscular Mycorrhiza ( AM ): Glomus etunicatum, Glomus mosseae, Glomus intraradices ; BaAM : combination of Ba and AM; and BAB : combination of Biochar plus Ba and AM. These commercial biofertilizers were ordered from Green Biotech Incorporation. The inoculated seeds were transferred to 900-gram pots (14*13 cm) prepared with a 1:1 combination of river sand and perlite. River sand was washed and sterilized in an autoclave at 120ºc for 120 minutes. The plants were grown under 7000 lux light, 16 h photoperiod, and with Hoagland's nutrient solution. At the three-leaf stage, Zero, 20 mg/L, and 40 mg/L of mercury chloride were applied along with the nutrient solution, and after 10 days, and 4-time stress application, the plants were harvested. 2.1. Biochar preparation and analysis The dried wood was pyrolyzed at 550°C for 14 hours in anaerobic conditions. It was then ground and passed through a 2 mm sieve. After preparing the biochar suspension with distilled water, EC was measured using a conductivity meter (Hanna, HI 8819, Portugal), and pH was measured using a pH meter (Corning, 7, UK). In a muffle furnace, biochar was heated to 550°C and 450°C, respectively, to determine ash and volatile matter concentrations. The concentration of organic matter was measured using the combustion loss method in a furnace operating at a temperature of 550°C (Mujtaba et al, 2021 ). Through a digestion process with HNO3 and HClO4 (3:1), the total nutrient content required was determined. From the analysis of biochar, produced from apple wood, the following results were obtained: EC = 0.79 dS/m, pH = 8.35, N = 0.9%, P = 0.23%, and K = 0.41%. In addition, the organic content and C/N ratio of biochar obtained 53% and 58.8%, respectively. 2.2. Plant sampling and biomass measurement Twenty-four days after planting, the plants from each treatment were collected. Each treatment with 3 replications and every replication one pot with 4 plants were merged into one sample as one biological replication. The biomass of fresh shoots and roots was measured. Liquid nitrogen was used to powder the samples, which were then kept at -80°C. 2.3. Malondialdehyde Through the production of malondialdehyde (MDA), a byproduct of lipid peroxidation that reacts with thiobarbituric acid (TBA), lipid peroxidation was indirectly quantified (Heath & Packer, 1968 ). 0.5 gram of fresh leaf tissue was ground in a mortar containing 5 mL of 8% trichloroacetic acid. The extract was centrifuged at 12000 g for 20 minutes. 1 mL of 20% (W/V) trichloroacetic acid was added to 1 mL of the supernatant solution. After 30 minutes in a 95°C water bath the reaction was promptly cooled in an ice bath. After centrifugation at 10000g for 15 min, absorbance was measured at 532 nm. 2.4. Hydrogen peroxide (H 2 O 2 ) To extract H 2 O 2 , trichloroacetic acid 0.1% (W/V) was used. The plant extract was centrifuged at 12000 g for 15 min. 0.5 mL of 10 mM potassium phosphate buffer, pH = 7, and 1 mL potassium iodide (KI) 1 molar was added to 0.5 mL of supernatant. The samples were kept for 30 min at 20ºC, and then H 2 O 2 values at 390 nm were reported based on nmol/g fresh weight (Velikova et al, 2000 ). The wavelength was recorded through UV-Vis Halo DB-20 double beam. 2.5. Total soluble sugar The technique employed to quantify TSS involved using a combination of sulfuric acid and phenol, which dissolved the sugars in an acidic solution and formed colored compounds (Dubois et al, 1951 ). 0.1 gram of the plant fresh weight (FW) was completely ground in mortar and after adding 10 ml of 80% ethanol, it was kept in the refrigerator for a week. 1 mL of 5% phenol and 5 mL of extra concentrated sulfuric acid were added to 0.5 mL of filtered extract. After half an hour, the absorbance of the samples was measured by a spectrophotometer at 485 nm. 2.6. Amino acid assay 3 mg of fresh leave was homogenized with 4 mL mixed of methanol, water, and chloroform in a ratio of 12, 3, and 5 respectively. After centrifugation, the supernatant was filtered with a 0.45-micron membrane. The purified supernatant was used for the determination of free amino acids by High-performance liquid chromatography (HPLC) KNAUER Germany C-18 column (25 cm × 4 mm; 5 µm). The O-phthalaldehyde (OPA) was used as a pre-column derivatization reagent. The mobile phase consists of phases A and B: A contains 79% sodium acetate buffer 50 mM, pH = 7.02 and 21% HPLC grade methanol, and phase B contains 25% sodium acetate buffer 50 mM, pH = 7.02 and 75% HPLC grade methanol. The resolution of amino acids derivatives was monitored through fluorescence detector with excitation and emission set at 330 nm and 450 nm, respectively (Bieleski & Turner, 1966 ). Fifteen different free amino acids were identified and quantified: aspartate (Asp), glutamate (Glu), asparagine (Asn), serine (Ser), glutamine (Gln), glycine (Gly), arginine (Arg), tyrosine (Tyr), cystine (Cys), valine (Val), tryptophan (Trp), phenylalanine (Phe), isoleucine (Ile), proline (Pro), leucine (Leu). Also, the sum of these 15 free amino acids content is noted as total amino acids. 2.7. Data analysis The study will involve analyzing the roots and aerial parts of 30 pots, which will form the statistical population. A completely randomized design with 15 treatments will be used in a factorial experiment. Each treatment is replicated three times. Growth and biochemical parameters will be measured, and the data will be analyzed using SAS software and Tukey's test at the P ≤ 0.05. Excel has been utilized to create graphs based on the results. 3. Results 3.1. Biomass Hg stress significantly reduced the total biomass such that the reduction increased with increasing Hg stress intensity (Fig. 1 ). In comparison the Cs (Controls), under the moderate and severe stress conditions14% and 32% reductions were detected, respectively. Moderate stress did not show a significant decrease in roots, while severe stress significantly reduced it by 25%. Microbial stimulators stimulated the shoot more than the root in no-stress level and alleviated the root reduction in stressed conditions. In 20 mg/L Hg, the highest biomass was related to the AM, and in 40 mg/L Hg level belongs to the BAB, biochar combination treatment. Additionally, the smallest biomass was observed in the C and Ba treatments under both stress conditions. In the level of non-stress, all microbial stimulants single and in combination showed a significant difference compared with C and caused an increase in biomass (Fig. 1 ). The highest biomass alteration was affected by the combination treatment BaAM. Hence exposed to non-stress level recorded the highest amount of biomass, under moderate stress declined significantly, and in severe stress conditions the greatest reduction was noted. 3.2. H 2 O 2 and MDA Hg stress increased the content of oxygen peroxide and malondialdehyde content as two important oxidative stress inductions (Fig. 2 ). BAB decreased the amount of H 2 O 2 in plant exposed to Hg stress. So, in the stress level of 40 mg/l, BAB had the lowest amount of H 2 O 2 and malondialdehyde. 3.3. Leaves total soluble sugar The mung bean plants raised the total TSS in the face with Hg stress so that, the impact was greater under moderate stress by 2.6 X (Fig. 3 ). In the plants under non-stress the highest value was related to the combined treatment of BaAM and the lowest was related to the AM treatment. In moderate stress, the maximum amount was related to the C, followed by AM. Also at the severe stress level, sugar was increased by BAB and decreased by Ba and BaAM compared to other treatments. With enhancement in stress severity, the plant's capacity to increase total sugar content declines. As a result, a significant decrease in the treatment of Ba and BaAM was noted as stress intensity increased. 3.4. Leaves free amino acids A combination of three replicates of each treatment was used as a sample to analyze amino acids (AAs) by HPLC. Stress leads to an increase in the total free AAs content, which includes the total content of 15 specified AAs (Fig. 3 ). There was 67% rise under moderate stress, and in severe, 28% increase was observed in comparison the Cs. Under non-stress conditions, the highest amount was related to Ba and BAB, and the lowest amount of AAs was related to C and AM treatments. However, as controls, the microbial combination of BaAM and BAB increased the concentration of AAs under moderate stress more than severe stress conditions (non-stress < severe < moderate). While the stress factor led to an overall increase in total AA, the changes in response to different levels of microbial factor show great variations. Analysis of specific AAs revealed that Hg stress enhanced the cantante of Glu, Asn, Gly, Tyr, Val, Met, Phe, and Pro. (Fig. 3 ). Under moderate stress, the highest increase was observed in Asn 182%, Tyr 150%, Met 140%, Glu 79%, and Pro 55% however, Asp declined by 18%. Moreover, severe stress enhanced, Asn 156%, Met 116%, Pro 50%, Phe 45%, Tyr 44%, Glu 41%, and Gly 6%, and Glu, Gln, Leu, Ile, Ser, Arg, and Asp decreased compared to the C of non-stress. Additionally, Gln, Arg, Tyr, Met, Tri, and Gly enlarged with increasing stress severity by AM treatment. Combined treatment of BAB, enhanced Gly, Phe, Tyr, and Asn under stress conditions and increased the Pro content with increasing the Hg stress severity. Phe, Pro, and Asn were specifically increased by mung bean plants under all stress treatments with or without microbial stimulators. The response of AAs to the stress severity is quantified in Table 1 . 4. Discussion 4.1. Biomass Biomass is a crucial indicator when investigating the impact of various stresses and is a key factor in phytoremediation strategies (Antonkiewicz & Para, 2016 ; Zhu et al, 2018 ; Mousavi et al, 2021 ). Hg stress significantly influenced Mung bean plant growth, as indicated by reductions in root and shoot FW. Plants need to produce specific metabolites to activate resistance and to compensate for this energy, the plant has to stop growth. (Gururani et al, 2015 ). The suppression of mitosis, decreased synthesis of cell wall components, and modifications in photosynthetic activity contribute to the reduction in root biomass and development, which are signs of mercury toxicity (Patnaik et al, 2013 ). Bacterial treatment, similar to AM, improved the plant biomass in non-stress conditions but did not show an improvement effect in exposure to Hg stress. It has been realized that in addition to essential nutrients, BGPR increases mercury uptake through their excretion leading to more Hg accumulation inside the plant and resulting toxicity (Cozzolino et al, 2016 ; Sapre et al, 2019 ). However, microbial inoculation combined with biochar preserved biomass under Hg stress, especially under severe conditions, by enhancing root growth more than shoot. Biochar improves soil conditions for root growth and microbial activity, absorbs pollutants, and reduces Hg concentration around the roots, thus limiting Hg mobility (Harindintwali et al, 2020 ; Man et al, 2021 ; Beckers et al, 2019 ; Steiner et al, 2008 ). 4.2. MDA and H 2 O 2 Mercury stress was associated with increased hydrogen peroxide (H2O2) as a reactive oxygen species (ROS) and malondialdehyde (MDA), markers of oxidative damage. Increased ROS levels are a significant factor in the stress response to heavy metals. Our findings showed that Hg stimulated ROS formation in Mung bean plants, likely due to heavy metals reducing chloroplast CO2 fixation and overloading the photosynthetic electron transport chain, a substantial source of ROS production (Mittler et al, 2004 ). The over-reduction of mitochondrial electron transport chains is another ROS production site (Davidson & Schiestl, 2023 ). Induction of lipid peroxidation in lucerne plants after Hg exposure was observed by Zhou et al, 2007 , with MDA as a typical lipid peroxidation byproduct and sensitive oxidative stress indicator (Cargnelutti et al, 2006 ). We observed increased MDA levels at both 20 mg/L and 40 mg/L Hg. According to Chen et al, 2012 , enzymes like lipoxygenase (LOX) catalyze lipid peroxidation processes in plants, suggesting that toxic Hg concentrations disrupt plant life processes by increasing ROS accumulation, lipid peroxidation along with LOX activity. 4.3. Total soluble sugar TSS content in leaves of plants exposed to severe Hg stress conditions showed a downward trend after a sharp increase with moderate stress. Mung bean plants maintain high TSS content in response to Hg stress, but their capacity diminishes as stress intensity increases. AM fungi have not shown significant differences in TSS content under non-stressed conditions, Hg stress caused a 2.35-fold increase under moderate stress. Considering that plants preferentially transfer sucrose to mycorrhizal roots (Boldt et al, 2011 ), it appears AM has impacted the plant's tolerance by raising the TSS content. According to Kieffer et al. 2009 , fructose, galactose, sucrose, and glucose increase in poplar exposed to heavy metals may function as osmoprotectants, protecting cell membranes from harmful trace metals and assisting in osmotic adjustments (Kieffer et al, 2009 ). By adjusting their internal resource allocation, cells reduce the consumption of sugars in the presence of heavy metals, which leads to a relative storage of sugars from photosynthesis (Bailey et al, 2003 ; Bailey et al, 2003 ). Plants engage in coordinated processes for the distribution and transit of sugars during storage, respiration, and biosynthesis in sink tissues (Lemoine et al, 2013 ). In addition to serving as cells structural components and metabolic resources, soluble sugars also play a part in stress signaling (Bailey et al, 2003 ; Bailey et al, 2003 ). 4.4. Amino acids Due to the fact that they are sessile, Plants develop advanced metabolic defense mechanisms to differentiate between threats and modify their defensive strategies. Major modifications in AAs metabolism are necessary for coping with abiotic stress (Singh et al, 2016 ). Our study found that mung bean AAs fluctuated significantly based on stress intensity and biostimulator levels. Abiotic stress generally causes an accumulation of free AAs (Bailey et al, 2003 ; Heinemann & Hildebrandt, 2021 ; Sharma & Dietz, 2006 ; X. Zhang et al, 2020 ; Zhu et al, 2018 ; Dwivedi et al, 2010 ; Batista-Silva et al, 2019 ). AAs function as osmoprotectants, substrates for mitochondrial ATP synthesis, signaling molecules, stress-induced proteins and secondary metabolites (Heinemann & Hildebrandt, 2021 ; Batista-Silva et al, 2019 ). As stress severity increases, Mung bean plant efficiency in producing various metabolites decreases due to disruptions in vital processes. Under acute stress, respiratory pathways utilizing AAs as substrates are activated, and anabolic reactions are repressed (Batista-Silva et al, 2019 ). Stress-induced energy deficits cause significant modifications in AA metabolism (Heinemann & Hildebrandt, 2021 ). Cellular energy levels generally fall because of restricted photosynthetic activity, redirecting resources to defense (Gururani et al, 2015 ). Plants initiate autophagy, lipid, and protein breakdown to supply alternative substrates when carbohydrate reserves are exhausted (Heinemann & Hildebrandt, 2021 ). Our results showed a comprehensive increase in Phe, Pro, and Asn under all stress treatments, with the maximum increase in combined microbial biostimulant treatments. This strategic increase highlights these AAs' importance in Hg stress tolerance. Like other stresses, heavy metals increase Pro (Yusuf et al, 2012 ; Abbasi et al, 2023 ; Mousavi et al, 2022 ). It binds metal ions and reduces the production of free radicals (Sharma & Dietz, 2006 ; Siripornadulsil et al, 2002 ; Singh et al, 2016 ). Proline functions as an osmolyte under abiotic stress (Szabados & Savouré, 2010 ; Batista-Silva et al, 2019 ; Liang et al, 2013 ), and its mitochondrial catabolism contributes to ATP synthesis and cellular redox status, enhancing stress tolerance (Shinde et al, 2016 ; Schertl & Braun, 2014 ). Elevated Pro concentrations indicate metabolic stress (Szabados & Savouré, 2010 ). Its ability to accumulate has been demonstrated to be correlated with resistance to abiotic stress. Asp, Asn, Glu, and Gln are main AAs transporters of nitrogen (Miesak & Coruzzi, 2002 ). An increase in glutamine suggests disrupted nitrate assimilation, with AAs liberated by protein hydrolysis (Cosio & Renault, 2020 ). Mercury stress caused a significant decrease in Glu levels, a precursor for numerous compounds (Reiner & Levitz, 2018 ), indicating a main modification in plant metabolites strategy. Glu redistribution can strengthen plant resilience under harsh conditions (Yang et al, 2014 ), maintaining cellular homeostasis through production and catabolism (Qiu et al, 2020 ). Glu is a unique molecule involved in every stage of the plant life cycle, as metabolic mediator involved in the manufacture of numerous chemical compounds (Reiner & Levitz, 2018 ; Qiu et al, 2020 ). These organic substances include heme, chlorophyll, antioxidant tripeptides (glutathione, GSH), non-protein AAs (g-aminobutyric acid, GABA), protein AAs (Gln, Pro, Arg, and His), and so on (Reiner & Levitz, 2018 ). Glu has recently been discovered to play a unique signaling role in numerous physiological processes (Qiu et al, 2020 ). Mercury stress increased aromatic amino acids (AAAs), especially phenylalanine. Three AAAs, Phe, Tyr, and Trp, are linked to the phenylpropanoid and shikimate pathways. AM single and in combination with other amendments clearly increased the AAAs. Phenylalanine gives rise to a broad class of compounds with biological activities and health benefits (Cosio & Renault, 2020 ), synthesized by phenylalanine ammonia lyase (PAL) under stress (Tzin & Galili, 2010 ). These compounds function as antioxidant metabolites in plant defense. Combination Biochar conserved Arg content under all stress conditions, and AM increased Arg with stress severity. Arg is required for polyamine synthesis and enhanced NO gasotransmitter production in front with stress (Krasensky & Jonak, 2012 ; Batista-Silva et al, 2019 ). 5. Conclusion Abiotic stresses are constant challenges for plant life. To mitigate adverse effects, plants have developed various defense mechanisms, including the rearrangement of metabolites. This study highlights the crucial role of amino acids (AAs) and total soluble sugars (TSS) in enhancing plant resilience to mercury stress. Consistent with our findings, previous limited studies generally report an overall increase in amino acid content under heavy metal stress. However, different studies emphasize the importance of different amino acid groups. Our findings indicate that Mung bean plants maintain high levels of most free AAs and total soluble sugars (TSS) under mercury stress, although these increases are not directly proportional to the stress intensity. Notably, the significant reduction of Asp under stress conditions presents an interesting avenue for future research. PGPMs enhance both mercury uptake and growth, although this can lead to decreased biomass due to higher mercury accumulation in stressed plants. Nevertheless, PGPMs are valuable for their ability to alleviate abiotic stress and enhance biomass and heavy metal remediation. Future studies can focus on identifying the most effective combinations of fungal and bacterial biostimulants and gaining a deeper understanding of the metabolic adjustments plants undergo under stress, through comprehensive analysis of metabolites and their derivatives. Declarations Author Contributions Manuscript title: Synergistic interactions of assorted bacterial and fungal agents with biochar ameliorate Vigna radiate L. growth and amino acids adjustment under mercury stress References Abbasi, Q, Pourakbar, L, & Siavash Moghaddam, S. (2023). Potential role of apple wood biochar in mitigating mercury toxicity in corn (Zea mays L.). Ecotoxicology and Environmental Safety , 267 . https://doi.org/10.1016/j.ecoenv.2023.115619 Alizadeh, S, Fallahi Gharagoz, S, Pourakbar, L, Siavash Moghaddam, S, & Jamalomidi, M. (2021). 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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-4554922","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":315765983,"identity":"88eb3ec0-81eb-435f-9a79-cfa21c6a049c","order_by":0,"name":"sina Siavash Moghaddam","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+ElEQVRIiWNgGAWjYPCCA0CUwMDwAchkg4hIEKeFcQbJWph5iHGRfP8B1g0fft2R5zue/HSzbdu9aD72A4wffjBY5OPSYnAjge3mzL5nhjPPPDO7ndtWnNvGk8As2cMgYdmAS4sEA9tt3p7DjBtuJIC0JOS2MSQwSAP9YoDHYWAt9htupH+7bQnSwv+A+Tc+LUBfs93m+XE4ccONHLPbjCAtEglseG0xuJHYdnNmw+HkmWfelN3sOQfS8rDNsscAn8MOH7vx4c9h277j6dtu/ChLyJ3fn3z4xo+KOtwOY2BsYGBsQxdhwKMBAv4QUjAKRsEoGAUjGgAAksVgvuu+yYkAAAAASUVORK5CYII=","orcid":"","institution":"Urmia University","correspondingAuthor":true,"prefix":"","firstName":"sina","middleName":"Siavash","lastName":"Moghaddam","suffix":""},{"id":315765984,"identity":"855e2b8d-a281-4f1b-85be-ca411528918c","order_by":1,"name":"Shirwan Malaie","email":"","orcid":"","institution":"Urmia University","correspondingAuthor":false,"prefix":"","firstName":"Shirwan","middleName":"","lastName":"Malaie","suffix":""},{"id":315765985,"identity":"666a274a-019f-4384-8920-3ae0dde2f7b2","order_by":2,"name":"Latifeh Pourakbar","email":"","orcid":"","institution":"Urmia University","correspondingAuthor":false,"prefix":"","firstName":"Latifeh","middleName":"","lastName":"Pourakbar","suffix":""},{"id":315765986,"identity":"2ed45014-cd0e-4e36-a020-d0b3b2ce66e8","order_by":3,"name":"Jianbo Xiao","email":"","orcid":"","institution":"University of Vigo Faculty of Sciences: Universidade de Vigo Facultad de Ciencias","correspondingAuthor":false,"prefix":"","firstName":"Jianbo","middleName":"","lastName":"Xiao","suffix":""},{"id":315765987,"identity":"897de49b-60c0-40de-8783-5335ab5db81c","order_by":4,"name":"Nabi Khezrnejad","email":"","orcid":"","institution":"Islamic Azad University of Mahabad","correspondingAuthor":false,"prefix":"","firstName":"Nabi","middleName":"","lastName":"Khezrnejad","suffix":""}],"badges":[],"createdAt":"2024-06-09 20:10:22","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4554922/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4554922/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11738-025-03806-4","type":"published","date":"2025-05-05T15:56:51+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":59602869,"identity":"1bffd0ea-ce90-4298-baab-b61f3966a5be","added_by":"auto","created_at":"2024-07-03 17:28:45","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":88321,"visible":true,"origin":"","legend":"\u003cp\u003eShoot and root FW (fresh weight) and total fresh biomass of munge bean plant (\u003cem\u003eVigna radiata\u003c/em\u003e) under three levels of Hg stress: \u003cstrong\u003enon-stress\u003c/strong\u003e (without Hg); \u003cstrong\u003emoderate\u003c/strong\u003e (20 mg/L Hg); \u003cstrong\u003esevere\u003c/strong\u003e (40 mg/L Hg); and five levels of stimulator: \u003cstrong\u003eBa\u003c/strong\u003e (bacterial biofertilizers); \u003cstrong\u003eAM\u003c/strong\u003e (arbuscular mycorrhiza); \u003cstrong\u003eBaAM\u003c/strong\u003e (Ba + AM); \u003cstrong\u003eBAB\u003c/strong\u003e (Ba + AM + biochar); and \u003cstrong\u003eC\u003c/strong\u003e = control. Different letters show a significant difference at the P \u0026lt; 0.05 level based on Tukey’s test.\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4554922/v1/ac87e577a86e5df6f237d6a1.jpg"},{"id":59602871,"identity":"c409de2e-de7e-4acf-ac2f-dce92c12ce23","added_by":"auto","created_at":"2024-07-03 17:28:46","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":66829,"visible":true,"origin":"","legend":"\u003cp\u003eH2O2 and malondialdehyde (MDA) in munge bean plant (\u003cem\u003eVigna radiata\u003c/em\u003e) under three levels of Hg stress: \u003cstrong\u003enon-stress\u003c/strong\u003e (without Hg); \u003cstrong\u003emoderate\u003c/strong\u003e (20 mg/L Hg); \u003cstrong\u003esevere\u003c/strong\u003e (40 mg/L Hg); and five levels of stimulator: \u003cstrong\u003eBa\u003c/strong\u003e (bacterial biofertilizers); \u003cstrong\u003eAM\u003c/strong\u003e (arbuscular mycorrhiza); \u003cstrong\u003eBaAM\u003c/strong\u003e (Ba + AM); \u003cstrong\u003eBAB\u003c/strong\u003e (Ba + AM + biochar); and \u003cstrong\u003eC\u003c/strong\u003e = control. Different letters show a significant difference at the P ≤ 0.05 level based on Tukey’s test.\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4554922/v1/fbfb3e8b43d1c16b12dcd147.jpg"},{"id":59602870,"identity":"97dbda5d-cd4f-4b4a-80fa-812ee9f7dfd4","added_by":"auto","created_at":"2024-07-03 17:28:46","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":60218,"visible":true,"origin":"","legend":"\u003cp\u003eTotal soluble sugar and Amino acids in the shoot of munge bean plant (\u003cem\u003eVigna radiata\u003c/em\u003e) under three levels of Hg stress: \u003cstrong\u003enon-stress\u003c/strong\u003e (without Hg); \u003cstrong\u003emoderate\u003c/strong\u003e (20 mg/L Hg); \u003cstrong\u003esevere\u003c/strong\u003e (40 mg/L Hg); and five levels of stimulator: \u003cstrong\u003eBa\u003c/strong\u003e (bacterial biofertilizers); \u003cstrong\u003eAM\u003c/strong\u003e (arbuscular mycorrhiza); \u003cstrong\u003eBaAM\u003c/strong\u003e (Ba plus AM); \u003cstrong\u003eBAB\u003c/strong\u003e (Ba + AM + biochar); and \u003cstrong\u003eC\u003c/strong\u003e = control. Different letters show a significant difference at the P ≤ 0.05 level based on Tukey’s test.\u003c/p\u003e","description":"","filename":"3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4554922/v1/d2db1917d6d1d6f8a359b14d.jpg"},{"id":82537390,"identity":"643aa8ed-433c-4d38-8fb5-f25fbcaa0e3c","added_by":"auto","created_at":"2025-05-12 16:00:01","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1026521,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4554922/v1/6b7c582a-dcfd-4b9c-9798-bb24d0b6d2de.pdf"}],"financialInterests":"","formattedTitle":"Synergistic interactions of assorted bacterial and fungal agents with biochar ameliorate Vigna radiate L. growth and amino acids adjustment under mercury stress","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eLife on Earth has been greatly affected by various pollutions which is increasing sharply through urbanization and industrialization. Meanwhile, soil contamination with heavy metals, especially mercury, is one of today's issues that has challenged life on earth (H. Zhang et al, \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Owing to its negative impacts on both human and environmental health, mercury leakage into the environment has drawn a lot of attention from researchers and governmental organizations (Tiodar et al, \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). In addition, Hg toxicity has been placed third on the substance priority list updated by the Agency for Toxic Substances and Disease Registry (ATSDR, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). The Hg toxicity symptoms in plants involve inhibition of plant growth, effects on photosynthesis, imbalance of nutrients, oxidative stress, and lipid peroxidation (Abbasi et al, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eWhen plants are exposed to heavy metals, they produce a variety of low-molecular-weight compounds, especially certain free amino acids that are known as compatible solutes. Additionally, they play numerous roles, including radical scavengers, ion transport regulators, stomatal modulation, heavy metal detoxification, and signaling (Pavl\u0026iacute;kov\u0026aacute; et al, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Amino acids act as precursors and functional components of proteins and other nitrogen-containing compounds. Therefore, the changes that occur in them as a result of various stress factors are significant for plant metabolism (Zhu et al, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Following heavy metal exposure, some plant species show higher concentrations of amino acids like histidine, proline, cysteine, and glycine (Rai, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2002\u003c/span\u003e; Mousavi et al, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Dwivedi et al, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Mohammadi et al, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Moreover, Zhu et al, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e2018\u003c/span\u003e found that increased accumulation of free amino acids, particularly Glutamine and Asparagine, was associated with enhanced cadmium tolerance in \u003cem\u003eC. crepidioides\u003c/em\u003e plant. Amino acid metabolism plays a major role in a plant's ability to withstand heavy metal stress.\u003c/p\u003e \u003cp\u003eRecently, alternative eco-friendly management strategies have caught the attention of the scientific community. The potential to replace agrochemicals with plant growth-promoting rhizobacteria (PGPR) and mycorrhizae is a big option. Because of the various plant growth-promoting activities, PGPR and mycorrhizae are becoming more significant to improve soil properties.(Choudhary et al, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). There are numerous studies that support the use of AM and PGPR to improve plant development and resistance to heavy metal stress (Arshad et al, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2007\u003c/span\u003e; Gontia-Mishra et al, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Pietro-Souza et al, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Gonin et al, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Diverse processes by which PGPR influences plant growth under Hg stress contribute to mercury uptake and plant resistance (Franchi et al, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Additionally, they improve nutritional absorption due to N2 fixation and dissolution of phosphorus, potassium and zinc (Sapre et al, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Moradzadeh et al, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Mycorrhizae are beneficial microorganisms that invade plant roots and exhibit mutualistic symbiosis (Smith et al, \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2011\u003c/span\u003e; Alizadeh et al, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Mycorrhizae can grow inside or on the surface of the roots of many different types of plants. A recent study on the impact of AM on metabolite alteration suggested that AM inoculation under lead stress resulted in sucrose transport, boost sucrose cleavage in roots and increased accumulation of minor amino acids ( Zhang et al, \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eStudies point to the capability of biochar to absorb organic and inorganic pollutants and reduce their mobility and bioavailability in the soil (Beesley \u0026amp; Marmiroli, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2011\u003c/span\u003e; Beckers et al, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Karami et al, (\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2011\u003c/span\u003e), reported that the applying of biochar in a soil contaminated with heavy metals reduced the concentration of copper and lead in the soil and decreased the bioavailability of these two elements.\u003c/p\u003e \u003cp\u003eBy applying a combination of eco-friendly modifiers, our study attempts to address the stress challenge brought on by Hg contamination. Through the use of biochar and microbial biostimulants, this study provides a broader understanding of amino acids and TSS adjustments in response to different intensities of Hg stress.\u003c/p\u003e"},{"header":"2. Materials and methods","content":"\u003cp\u003eThe seeds were sterilized with 10% sodium hypochlorite for 5 minutes and then washed five times with sterilized water. They were divided into 5 groups in a petri dish. Then bacterial and fungal inoculum were prepared in separate containers and sprayed on the seeds exactly. The stimulators were prepared as follows: Bacteria (\u003cb\u003eBa\u003c/b\u003e): biological NPK and ZnFe Including, Nitrogen reducing bacteria \u003cem\u003e(Pantoea agglomerans strain O4)\u003c/em\u003e, Phosphorus dissolving \u003cem\u003e(Pseudomonas putida\u003c/em\u003e strain P13, \u003cem\u003ePantoea agglomerans\u003c/em\u003e strain P5), Potassium dissolving \u003cem\u003e(Pseudomonas vancouverensis\u003c/em\u003e strain \u003cem\u003eS19, Pseudomonas koreensis\u003c/em\u003e strain \u003cem\u003eS14)\u003c/em\u003e, Zinc-dissolving bacteria and iron preparation (\u003cem\u003ePseudomonas japonica FZ.21\u0026thinsp;\u0026minus;\u0026thinsp;1, Pseudomonas japonica FZ.29\u0026thinsp;\u0026minus;\u0026thinsp;1)\u003c/em\u003e; Arbuscular Mycorrhiza (\u003cb\u003eAM\u003c/b\u003e): \u003cem\u003eGlomus etunicatum, Glomus mosseae, Glomus intraradices\u003c/em\u003e; \u003cb\u003eBaAM\u003c/b\u003e: combination of Ba and AM; and \u003cb\u003eBAB\u003c/b\u003e: combination of Biochar plus Ba and AM. These commercial biofertilizers were ordered from Green Biotech Incorporation.\u003c/p\u003e \u003cp\u003eThe inoculated seeds were transferred to 900-gram pots (14*13 cm) prepared with a 1:1 combination of river sand and perlite. River sand was washed and sterilized in an autoclave at 120\u0026ordm;c for 120 minutes. The plants were grown under 7000 lux light, 16 h photoperiod, and with Hoagland's nutrient solution. At the three-leaf stage, Zero, 20 mg/L, and 40 mg/L of mercury chloride were applied along with the nutrient solution, and after 10 days, and 4-time stress application, the plants were harvested.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Biochar preparation and analysis\u003c/h2\u003e \u003cp\u003eThe dried wood was pyrolyzed at 550\u0026deg;C for 14 hours in anaerobic conditions. It was then ground and passed through a 2 mm sieve. After preparing the biochar suspension with distilled water, EC was measured using a conductivity meter (Hanna, HI 8819, Portugal), and pH was measured using a pH meter (Corning, 7, UK). In a muffle furnace, biochar was heated to 550\u0026deg;C and 450\u0026deg;C, respectively, to determine ash and volatile matter concentrations. The concentration of organic matter was measured using the combustion loss method in a furnace operating at a temperature of 550\u0026deg;C (Mujtaba et al, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Through a digestion process with HNO3 and HClO4 (3:1), the total nutrient content required was determined. From the analysis of biochar, produced from apple wood, the following results were obtained: EC\u0026thinsp;=\u0026thinsp;0.79 dS/m, pH\u0026thinsp;=\u0026thinsp;8.35, N\u0026thinsp;=\u0026thinsp;0.9%, P\u0026thinsp;=\u0026thinsp;0.23%, and K\u0026thinsp;=\u0026thinsp;0.41%. In addition, the organic content and C/N ratio of biochar obtained 53% and 58.8%, respectively.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2. Plant sampling and biomass measurement\u003c/h2\u003e \u003cp\u003eTwenty-four days after planting, the plants from each treatment were collected. Each treatment with 3 replications and every replication one pot with 4 plants were merged into one sample as one biological replication. The biomass of fresh shoots and roots was measured. Liquid nitrogen was used to powder the samples, which were then kept at -80\u0026deg;C.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3. Malondialdehyde\u003c/h2\u003e \u003cp\u003eThrough the production of malondialdehyde (MDA), a byproduct of lipid peroxidation that reacts with thiobarbituric acid (TBA), lipid peroxidation was indirectly quantified (Heath \u0026amp; Packer, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e1968\u003c/span\u003e). 0.5 gram of fresh leaf tissue was ground in a mortar containing 5 mL of 8% trichloroacetic acid. The extract was centrifuged at 12000 g for 20 minutes. 1 mL of 20% (W/V) trichloroacetic acid was added to 1 mL of the supernatant solution. After 30 minutes in a 95\u0026deg;C water bath the reaction was promptly cooled in an ice bath. After centrifugation at 10000g for 15 min, absorbance was measured at 532 nm.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4. Hydrogen peroxide (H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e)\u003c/h2\u003e \u003cp\u003eTo extract H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e, trichloroacetic acid 0.1% (W/V) was used. The plant extract was centrifuged at 12000 g for 15 min. 0.5 mL of 10 mM potassium phosphate buffer, pH\u0026thinsp;=\u0026thinsp;7, and 1 mL potassium iodide (KI) 1 molar was added to 0.5 mL of supernatant. The samples were kept for 30 min at 20\u0026ordm;C, and then H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e values at 390 nm were reported based on nmol/g fresh weight (Velikova et al, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2000\u003c/span\u003e). The wavelength was recorded through UV-Vis Halo DB-20 double beam.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e2.5. Total soluble sugar\u003c/h2\u003e \u003cp\u003eThe technique employed to quantify TSS involved using a combination of sulfuric acid and phenol, which dissolved the sugars in an acidic solution and formed colored compounds (Dubois et al, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e1951\u003c/span\u003e). 0.1 gram of the plant fresh weight (FW) was completely ground in mortar and after adding 10 ml of 80% ethanol, it was kept in the refrigerator for a week. 1 mL of 5% phenol and 5 mL of extra concentrated sulfuric acid were added to 0.5 mL of filtered extract. After half an hour, the absorbance of the samples was measured by a spectrophotometer at 485 nm.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e2.6. Amino acid assay\u003c/h2\u003e \u003cp\u003e3 mg of fresh leave was homogenized with 4 mL mixed of methanol, water, and chloroform in a ratio of 12, 3, and 5 respectively. After centrifugation, the supernatant was filtered with a 0.45-micron membrane. The purified supernatant was used for the determination of free amino acids by High-performance liquid chromatography (HPLC) KNAUER Germany C-18 column (25 cm \u0026times; 4 mm; 5 \u0026micro;m). The O-phthalaldehyde (OPA) was used as a pre-column derivatization reagent. The mobile phase consists of phases A and B: A contains 79% sodium acetate buffer 50 mM, pH\u0026thinsp;=\u0026thinsp;7.02 and 21% HPLC grade methanol, and phase B contains 25% sodium acetate buffer 50 mM, pH\u0026thinsp;=\u0026thinsp;7.02 and 75% HPLC grade methanol. The resolution of amino acids derivatives was monitored through fluorescence detector with excitation and emission set at 330 nm and 450 nm, respectively (Bieleski \u0026amp; Turner, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e1966\u003c/span\u003e). Fifteen different free amino acids were identified and quantified: aspartate (Asp), glutamate (Glu), asparagine (Asn), serine (Ser), glutamine (Gln), glycine (Gly), arginine (Arg), tyrosine (Tyr), cystine (Cys), valine (Val), tryptophan (Trp), phenylalanine (Phe), isoleucine (Ile), proline (Pro), leucine (Leu). Also, the sum of these 15 free amino acids content is noted as total amino acids.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e2.7. Data analysis\u003c/h2\u003e \u003cp\u003eThe study will involve analyzing the roots and aerial parts of 30 pots, which will form the statistical population. A completely randomized design with 15 treatments will be used in a factorial experiment. Each treatment is replicated three times. Growth and biochemical parameters will be measured, and the data will be analyzed using SAS software and Tukey's test at the P\u0026thinsp;\u0026le;\u0026thinsp;0.05. Excel has been utilized to create graphs based on the results.\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e3.1. Biomass\u003c/h2\u003e \u003cp\u003eHg stress significantly reduced the total biomass such that the reduction increased with increasing Hg stress intensity (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). In comparison the Cs (Controls), under the moderate and severe stress conditions14% and 32% reductions were detected, respectively. Moderate stress did not show a significant decrease in roots, while severe stress significantly reduced it by 25%. Microbial stimulators stimulated the shoot more than the root in no-stress level and alleviated the root reduction in stressed conditions. In 20 mg/L Hg, the highest biomass was related to the AM, and in 40 mg/L Hg level belongs to the BAB, biochar combination treatment. Additionally, the smallest biomass was observed in the C and Ba treatments under both stress conditions. In the level of non-stress, all microbial stimulants single and in combination showed a significant difference compared with C and caused an increase in biomass (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). The highest biomass alteration was affected by the combination treatment BaAM. Hence exposed to non-stress level recorded the highest amount of biomass, under moderate stress declined significantly, and in severe stress conditions the greatest reduction was noted.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003e3.2. H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e and MDA\u003c/h2\u003e \u003cp\u003eHg stress increased the content of oxygen peroxide and malondialdehyde content as two important oxidative stress inductions (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). BAB decreased the amount of H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e in plant exposed to Hg stress. So, in the stress level of 40 mg/l, BAB had the lowest amount of H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e and malondialdehyde.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003e3.3. Leaves total soluble sugar\u003c/h2\u003e \u003cp\u003eThe mung bean plants raised the total TSS in the face with Hg stress so that, the impact was greater under moderate stress by 2.6 X (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). In the plants under non-stress the highest value was related to the combined treatment of BaAM and the lowest was related to the AM treatment. In moderate stress, the maximum amount was related to the C, followed by AM. Also at the severe stress level, sugar was increased by BAB and decreased by Ba and BaAM compared to other treatments. With enhancement in stress severity, the plant's capacity to increase total sugar content declines. As a result, a significant decrease in the treatment of Ba and BaAM was noted as stress intensity increased.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003e3.4. Leaves free amino acids\u003c/h2\u003e \u003cp\u003eA combination of three replicates of each treatment was used as a sample to analyze amino acids (AAs) by HPLC. Stress leads to an increase in the total free AAs content, which includes the total content of 15 specified AAs (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). There was 67% rise under moderate stress, and in severe, 28% increase was observed in comparison the Cs. Under non-stress conditions, the highest amount was related to Ba and BAB, and the lowest amount of AAs was related to C and AM treatments. However, as controls, the microbial combination of BaAM and BAB increased the concentration of AAs under moderate stress more than severe stress conditions (non-stress\u0026thinsp;\u0026lt;\u0026thinsp;severe\u0026thinsp;\u0026lt;\u0026thinsp;moderate). While the stress factor led to an overall increase in total AA, the changes in response to different levels of microbial factor show great variations.\u003c/p\u003e \u003cp\u003eAnalysis of specific AAs revealed that Hg stress enhanced the cantante of Glu, Asn, Gly, Tyr, Val, Met, Phe, and Pro. (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). Under moderate stress, the highest increase was observed in Asn 182%, Tyr 150%, Met 140%, Glu 79%, and Pro 55% however, Asp declined by 18%. Moreover, severe stress enhanced, Asn 156%, Met 116%, Pro 50%, Phe 45%, Tyr 44%, Glu 41%, and Gly 6%, and Glu, Gln, Leu, Ile, Ser, Arg, and Asp decreased compared to the C of non-stress. Additionally, Gln, Arg, Tyr, Met, Tri, and Gly enlarged with increasing stress severity by AM treatment.\u003c/p\u003e \u003cp\u003eCombined treatment of BAB, enhanced Gly, Phe, Tyr, and Asn under stress conditions and increased the Pro content with increasing the Hg stress severity. Phe, Pro, and Asn were specifically increased by mung bean plants under all stress treatments with or without microbial stimulators. The response of AAs to the stress severity is quantified in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e\u003cp\u003e\u003cimg 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\" width=\"1042\" height=\"511\"\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"4. Discussion","content":"\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003e4.1. Biomass\u003c/h2\u003e \u003cp\u003eBiomass is a crucial indicator when investigating the impact of various stresses and is a key factor in phytoremediation strategies (Antonkiewicz \u0026amp; Para, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Zhu et al, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Mousavi et al, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Hg stress significantly influenced Mung bean plant growth, as indicated by reductions in root and shoot FW. Plants need to produce specific metabolites to activate resistance and to compensate for this energy, the plant has to stop growth. (Gururani et al, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). The suppression of mitosis, decreased synthesis of cell wall components, and modifications in photosynthetic activity contribute to the reduction in root biomass and development, which are signs of mercury toxicity (Patnaik et al, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2013\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eBacterial treatment, similar to AM, improved the plant biomass in non-stress conditions but did not show an improvement effect in exposure to Hg stress. It has been realized that in addition to essential nutrients, BGPR increases mercury uptake through their excretion leading to more Hg accumulation inside the plant and resulting toxicity (Cozzolino et al, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Sapre et al, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eHowever, microbial inoculation combined with biochar preserved biomass under Hg stress, especially under severe conditions, by enhancing root growth more than shoot. Biochar improves soil conditions for root growth and microbial activity, absorbs pollutants, and reduces Hg concentration around the roots, thus limiting Hg mobility (Harindintwali et al, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Man et al, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Beckers et al, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Steiner et al, \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2008\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003e4.2. MDA and H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e\u003c/h2\u003e \u003cp\u003eMercury stress was associated with increased hydrogen peroxide (H2O2) as a reactive oxygen species (ROS) and malondialdehyde (MDA), markers of oxidative damage. Increased ROS levels are a significant factor in the stress response to heavy metals. Our findings showed that Hg stimulated ROS formation in Mung bean plants, likely due to heavy metals reducing chloroplast CO2 fixation and overloading the photosynthetic electron transport chain, a substantial source of ROS production (Mittler et al, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2004\u003c/span\u003e). The over-reduction of mitochondrial electron transport chains is another ROS production site (Davidson \u0026amp; Schiestl, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Induction of lipid peroxidation in lucerne plants after Hg exposure was observed by Zhou et al, \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e2007\u003c/span\u003e, with MDA as a typical lipid peroxidation byproduct and sensitive oxidative stress indicator (Cargnelutti et al, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). We observed increased MDA levels at both 20 mg/L and 40 mg/L Hg. According to Chen et al, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2012\u003c/span\u003e, enzymes like lipoxygenase (LOX) catalyze lipid peroxidation processes in plants, suggesting that toxic Hg concentrations disrupt plant life processes by increasing ROS accumulation, lipid peroxidation along with LOX activity.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003e4.3. Total soluble sugar\u003c/h2\u003e \u003cp\u003eTSS content in leaves of plants exposed to severe Hg stress conditions showed a downward trend after a sharp increase with moderate stress. Mung bean plants maintain high TSS content in response to Hg stress, but their capacity diminishes as stress intensity increases.\u003c/p\u003e \u003cp\u003eAM fungi have not shown significant differences in TSS content under non-stressed conditions, Hg stress caused a 2.35-fold increase under moderate stress. Considering that plants preferentially transfer sucrose to mycorrhizal roots (Boldt et al, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2011\u003c/span\u003e), it appears AM has impacted the plant's tolerance by raising the TSS content. According to Kieffer et al. \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2009\u003c/span\u003e, fructose, galactose, sucrose, and glucose increase in poplar exposed to heavy metals may function as osmoprotectants, protecting cell membranes from harmful trace metals and assisting in osmotic adjustments (Kieffer et al, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2009\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eBy adjusting their internal resource allocation, cells reduce the consumption of sugars in the presence of heavy metals, which leads to a relative storage of sugars from photosynthesis (Bailey et al, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Bailey et al, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). Plants engage in coordinated processes for the distribution and transit of sugars during storage, respiration, and biosynthesis in sink tissues (Lemoine et al, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). In addition to serving as cells structural components and metabolic resources, soluble sugars also play a part in stress signaling (Bailey et al, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Bailey et al, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2003\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003e4.4. Amino acids\u003c/h2\u003e \u003cp\u003eDue to the fact that they are sessile, Plants develop advanced metabolic defense mechanisms to differentiate between threats and modify their defensive strategies. Major modifications in AAs metabolism are necessary for coping with abiotic stress (Singh et al, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Our study found that mung bean AAs fluctuated significantly based on stress intensity and biostimulator levels. Abiotic stress generally causes an accumulation of free AAs (Bailey et al, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Heinemann \u0026amp; Hildebrandt, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Sharma \u0026amp; Dietz, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; X. Zhang et al, \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Zhu et al, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Dwivedi et al, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Batista-Silva et al, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). AAs function as osmoprotectants, substrates for mitochondrial ATP synthesis, signaling molecules, stress-induced proteins and secondary metabolites (Heinemann \u0026amp; Hildebrandt, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Batista-Silva et al, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAs stress severity increases, Mung bean plant efficiency in producing various metabolites decreases due to disruptions in vital processes. Under acute stress, respiratory pathways utilizing AAs as substrates are activated, and anabolic reactions are repressed (Batista-Silva et al, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Stress-induced energy deficits cause significant modifications in AA metabolism (Heinemann \u0026amp; Hildebrandt, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Cellular energy levels generally fall because of restricted photosynthetic activity, redirecting resources to defense (Gururani et al, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). Plants initiate autophagy, lipid, and protein breakdown to supply alternative substrates when carbohydrate reserves are exhausted (Heinemann \u0026amp; Hildebrandt, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eOur results showed a comprehensive increase in Phe, Pro, and Asn under all stress treatments, with the maximum increase in combined microbial biostimulant treatments. This strategic increase highlights these AAs' importance in Hg stress tolerance.\u003c/p\u003e \u003cp\u003eLike other stresses, heavy metals increase Pro (Yusuf et al, \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2012\u003c/span\u003e; Abbasi et al, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Mousavi et al, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). It binds metal ions and reduces the production of free radicals (Sharma \u0026amp; Dietz, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Siripornadulsil et al, \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2002\u003c/span\u003e; Singh et al, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Proline functions as an osmolyte under abiotic stress (Szabados \u0026amp; Savour\u0026eacute;, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Batista-Silva et al, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Liang et al, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), and its mitochondrial catabolism contributes to ATP synthesis and cellular redox status, enhancing stress tolerance (Shinde et al, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Schertl \u0026amp; Braun, \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Elevated Pro concentrations indicate metabolic stress (Szabados \u0026amp; Savour\u0026eacute;, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). Its ability to accumulate has been demonstrated to be correlated with resistance to abiotic stress.\u003c/p\u003e \u003cp\u003eAsp, Asn, Glu, and Gln are main AAs transporters of nitrogen (Miesak \u0026amp; Coruzzi, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). An increase in glutamine suggests disrupted nitrate assimilation, with AAs liberated by protein hydrolysis (Cosio \u0026amp; Renault, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Mercury stress caused a significant decrease in Glu levels, a precursor for numerous compounds (Reiner \u0026amp; Levitz, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2018\u003c/span\u003e), indicating a main modification in plant metabolites strategy. Glu redistribution can strengthen plant resilience under harsh conditions (Yang et al, \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2014\u003c/span\u003e), maintaining cellular homeostasis through production and catabolism (Qiu et al, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Glu is a unique molecule involved in every stage of the plant life cycle, as metabolic mediator involved in the manufacture of numerous chemical compounds (Reiner \u0026amp; Levitz, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Qiu et al, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). These organic substances include heme, chlorophyll, antioxidant tripeptides (glutathione, GSH), non-protein AAs (g-aminobutyric acid, GABA), protein AAs (Gln, Pro, Arg, and His), and so on (Reiner \u0026amp; Levitz, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Glu has recently been discovered to play a unique signaling role in numerous physiological processes (Qiu et al, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eMercury stress increased aromatic amino acids (AAAs), especially phenylalanine. Three AAAs, Phe, Tyr, and Trp, are linked to the phenylpropanoid and shikimate pathways. AM single and in combination with other amendments clearly increased the AAAs. Phenylalanine gives rise to a broad class of compounds with biological activities and health benefits (Cosio \u0026amp; Renault, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), synthesized by phenylalanine ammonia lyase (PAL) under stress (Tzin \u0026amp; Galili, \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). These compounds function as antioxidant metabolites in plant defense.\u003c/p\u003e \u003cp\u003eCombination Biochar conserved Arg content under all stress conditions, and AM increased Arg with stress severity. Arg is required for polyamine synthesis and enhanced NO gasotransmitter production in front with stress (Krasensky \u0026amp; Jonak, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2012\u003c/span\u003e; Batista-Silva et al, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e"},{"header":"5. Conclusion","content":"\u003cp\u003eAbiotic stresses are constant challenges for plant life. To mitigate adverse effects, plants have developed various defense mechanisms, including the rearrangement of metabolites. This study highlights the crucial role of amino acids (AAs) and total soluble sugars (TSS) in enhancing plant resilience to mercury stress. Consistent with our findings, previous limited studies generally report an overall increase in amino acid content under heavy metal stress. However, different studies emphasize the importance of different amino acid groups. Our findings indicate that Mung bean plants maintain high levels of most free AAs and total soluble sugars (TSS) under mercury stress, although these increases are not directly proportional to the stress intensity. Notably, the significant reduction of Asp under stress conditions presents an interesting avenue for future research. PGPMs enhance both mercury uptake and growth, although this can lead to decreased biomass due to higher mercury accumulation in stressed plants. Nevertheless, PGPMs are valuable for their ability to alleviate abiotic stress and enhance biomass and heavy metal remediation.\u003c/p\u003e \u003cp\u003eFuture studies can focus on identifying the most effective combinations of fungal and bacterial biostimulants and gaining a deeper understanding of the metabolic adjustments plants undergo under stress, through comprehensive analysis of metabolites and their derivatives.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contributions\u003c/h2\u003e \u003cp\u003eManuscript title: Synergistic interactions of assorted bacterial and fungal agents with biochar ameliorate \u003cem\u003eVigna radiate\u003c/em\u003e L. growth and amino acids adjustment under mercury stress\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAbbasi, Q, Pourakbar, L, \u0026amp; Siavash Moghaddam, S. (2023). 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Effects of cadmium stress on growth and amino acid metabolism in two Compositae plants. \u003cem\u003eEcotoxicology and Environmental Safety\u003c/em\u003e, \u003cem\u003e158\u003c/em\u003e, 300\u0026ndash;308. https://doi.org/10.1016/J.ECOENV.2018.04.045\u003c/li\u003e\n\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":true,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"acta-physiologiae-plantarum","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"acpp","sideBox":"Learn more about [Acta Physiologiae Plantarum](http://link.springer.com/journal/11738)","snPcode":"11738","submissionUrl":"https://www.editorialmanager.com/acpp/default2.aspx","title":"Acta Physiologiae Plantarum","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"total soluble sugars, mercury stress, arbuscular mycorrhizae, bacterial biostimulants, biochar","lastPublishedDoi":"10.21203/rs.3.rs-4554922/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4554922/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eMercury (Hg) as an abiotic stressor poses significant challenges to plant growth. This study investigates the response of Mung bean plants to three levels of Hg stress (0, 20, and 40 mg/L) using a hydroponic system, inoculated with microbial biostimulators. The two-factorial experiment focused on plant growth, total soluble sugars (TSS), and free amino acids. Results indicated a decrease in plant biomass with increasing in stress severity. Under moderate stress (20 mg/L Hg), arbuscular mycorrhizae (AM) were effective in preserving biomass, while under severe stress (40 mg/L Hg), a combination of biochar, AM, and bacterial biostimulants (BAB) was most effective. The highest biomass was recorded by combined treatment of bacteria and AM (BaAM) although it dropped sharply under stress conditions. Except for BaAM, TSS content increased in all moderate stress treatments, particularly with AM, and was notably enhanced by BAB under severe stress. Mung bean plant generally increased the amount of Pro, Phe, Tyr, Trp, Asn, Gly, and Val exposed to Hg stress, while Asp decreased across all stress treatments. Higher Hg tolerance was linked to greater accumulation of TSS and specific free amino acids like Pro, Phe, and Asn. The interaction with microbial inoculation suggests that Mung bean plants adapt to mercury toxicity by altering their sugar and amino acid profiles, which serve as multifunctional molecules and precursors for stress resistance metabolites.\u003c/p\u003e","manuscriptTitle":"Synergistic interactions of assorted bacterial and fungal agents with biochar ameliorate Vigna radiate L. growth and amino acids adjustment under mercury stress","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-07-03 17:28:41","doi":"10.21203/rs.3.rs-4554922/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"","date":"2024-06-18T07:43:02+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-06-18T07:25:18+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-06-13T13:56:15+00:00","index":"","fulltext":""},{"type":"submitted","content":"Acta Physiologiae Plantarum","date":"2024-06-10T13:15:22+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"acta-physiologiae-plantarum","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"acpp","sideBox":"Learn more about [Acta Physiologiae Plantarum](http://link.springer.com/journal/11738)","snPcode":"11738","submissionUrl":"https://www.editorialmanager.com/acpp/default2.aspx","title":"Acta Physiologiae Plantarum","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"1081d354-ca0c-4c29-9162-fa93edfddc1f","owner":[],"postedDate":"July 3rd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-05-12T15:58:03+00:00","versionOfRecord":{"articleIdentity":"rs-4554922","link":"https://doi.org/10.1007/s11738-025-03806-4","journal":{"identity":"acta-physiologiae-plantarum","isVorOnly":false,"title":"Acta Physiologiae Plantarum"},"publishedOn":"2025-05-05 15:56:51","publishedOnDateReadable":"May 5th, 2025"},"versionCreatedAt":"2024-07-03 17:28:41","video":"","vorDoi":"10.1007/s11738-025-03806-4","vorDoiUrl":"https://doi.org/10.1007/s11738-025-03806-4","workflowStages":[]},"version":"v1","identity":"rs-4554922","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4554922","identity":"rs-4554922","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}