Morpho-cultural and molecular characterization of Trichoderma species from apple rhizosphere of North-western Himalayan temperate region of India

Morpho-cultural and molecular characterization of Trichoderma species from apple rhizosphere of North-western Himalayan temperate region of India | 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 Morpho-cultural and molecular characterization of Trichoderma species from apple rhizosphere of North-western Himalayan temperate region of India Sana B. S., Sumaira H., M. S. Dar, Bila A. Padder, Imran Khan, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2429359/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background The pesticide based disease management has many disadvantages including soil, water and air pollution besides adverse impact on humans and environment. Therefore, an alternative strategy is to identify and use ecofriendly management strategy like biological control. The identification of locally available bio-agents such as Trichoderma species is essential for successful disease management. To eliminate the mis-identification of Trichoderma species, a combined strategy of conventional (morphological and cultural) and molecular (multigene sequencing) approaches to characterize Trichoderma isolates have been recommended for their identification. Methods and Results A combined morpho-cultural and molecular approach including multigene sequencing based on internal transcribed spacer (ITS), alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2) were used to characterize 24 Trichoderma isolates from apple rhizosphere of Jammu and Kashmir. A significant variation was observed in morpho-cultural characteristics of different isolates of Trichoderma which grouped the Trichoderma isolates into four groups viz. , Group I, II, III and IV accommodating 4 (16.67%), 4 (16.67%), 6 (25.00%) and 10 (41.66%) isolates and identified as T. harzianum , T. koningiopsis, T. viride and T. hamatum , respectively. The concreated sequence data set based on three genes resulted them into 03 independent clades as Clade I, II and III based on ITS, EF1-α1 and RPB2. The sequencing results obtained from ITS region grouped them into five sub-clades identified as T. harzianum (Clade I), T. viride (Clade II), T. asperelloides (Clade III) and T. koningiopsis (Clade VI) accommodating 4 (16.67%), 6 (25.00%), 5 (20.83%) and 4 (29.16%), isolates, respectively and two independent lineages by 2 (8.33%) isolates. However, two genes EF1-α1 and RPB2 genes grouped 24 Trichoderma isolates into two separate clades based on EF1-α1 and RPB2 genes, respectively, and grouped 24 isolates into six sub-clades identified as T. asperelloides (Clade I), T. asperellum (Clade II), T. hamatum (Clade III), T. viride (Clade IV), T. koningiopsis (Clade V) and T. harzianum (Clade VI). The morpho-cultural and molecular characterization alone could not produce similar results. Thus, the final identification of 24 Trichoderma isolates was obtained based on a combined morpho-cultural and molecular approach, and grouped them into six groups (I-VI) ( T. koningiopsis , T. viride , T. asperellum, T. asperelloides, T. hamatum and T. harzianum ) accommodating 5 (PTi1, PR3, NT1, NT2, Z2), 5 (PNi2, SS, TB1, NT3, Z3), 3 (Psh1, PNi3, TB3), 4 (PTi3, PNi1, PR1, TB2), 3 (PR2, SR, SG) and 4 (Psh2, Psh3, PTi2, Z1) isolates, respectively, indicating presence of six species of Trichoderma in apple rhizosphere in temperate region of Jammu and Kashmir, India. Conclusion Individual method alone could not identify these isolates, thus, the combined morpho-cultural and molecular approach was employed for final identification of 24 Trichoderma isolates and identified them as T. koningiopsis , T. viride , T. asperellum, T. asperelloides, T. hamatum and T. harzianum isolated from apple rhizosphere in Jammu and Kashmir, India. biological control morphological characterization cultural characterization Internal Transcribed Spacer (ITS) Alpha elongation factor (EF1-α1) RNA polymerase B II (RPB2) Trichoderma species Figures Figure 1 Figure 2 Figure 3 Figure 4 Introduction Apple is a premier table fruit cultivated in the temperate regions of the world and to some extent in cool highlands of sub-tropical regions such as East Africa and North-eastern parts of India. In India, apple cultivation accounts for 55 per cent of the total area and 75 per cent of the total production under temperate fruits [ 1 ]. In India, commercial cultivation of apple is confined to Jammu and Kashmir and Himachal Pradesh, and some selected parts of Uttrakhand, Arunachal Pradesh, Manipur and Sikkim. Apple is the most important fruit crop in Jammu and Kashmir covering an area of 164742 thousand hectares with an annual production of 1882.319 thousand metric tonnes [ 2 ]. Apple is prone to various fungal, bacterial and viral diseases affecting its quality and production; however, fungal diseases inflict huge losses to the crop. Among the various soil borne diseases, white root rot and collar rot diseases caused by Dematophora necatrix and Phytopthora cactorum , respectively, are few of the major threats after scab to apple industry throughout the world and in Jammu and Kashmir also. Various strategies such as pesticide and biological control agents are being used to manage the plant diseases especially soil borne diseases [ 3 ]. The excessive use of pesticides leads to contamination of soil and water. Moreover, many components of pesticides are recalcitrant and persist in environment for longer duration [ 4 ]. Application of biological control agents for plant disease management is gaining popularity as a way to reduce or eliminate the use of synthetic pesticides [ 3 ]. Among the various biological control agents of fungal and bacterial origin, Trichoderma species is the most intensively studied biocontrol agent. The biocontrol activity of Trichoderma species is of immense importance to agriculture as well as to environment without any harmful effect on plants, animals and humans [ 5 , 6 ]. Genus Trichoderma belonging to phylum: Ascomycetes, class: Sordariomycetes, order: Hypocreales, family: Hypocreaceae is green-spored fungus present in nearly all types of temperate and tropical soils. Some of the species of Trichoderma like T. viride , T . harzianum , T. longibrachiatum , T. hamatum and T. koningii are efficient biocontrol agents with an ability to inhibit the growth of soil borne plant pathogens, hence improve overall plant health [ 7 ]. These are opportunistic, avirulent plant symbionts and parasites of other plant pathogenic fungi prevalent in soil and root ecosystems [ 8 ]. Due to ecological and economic significance, the taxonomy, biodiversity and biogeography of Trichoderma species are important. Rifai made an initial attempt to understand the diversity in Trichoderma spp. by introducing the concept of 9 “species groups” [ 9 ]. However, these groups could include multiple species that cannot be distinguished based on morphological characteristics alone. To overcome this limitation, the research over the past many years is being focussed on application of molecular approaches for species differentiation. Many difficulties encounter in determining the morphology of Trichoderma spp. such as inter-twining of morphological traits and phenetic phenomena, especially among Trichoderma anamorphs [ 10 , 11 ]. Molecular methods based on multiple gene sequencing helps in accurate identification of the species. Internal transcribed spacer (ITS) region of ribosomal DNA (rDNA) is one of the most consistent targets to identify a Trichoderma strain at species level [ 12 , 13 ]; http://www.isth.info ) but cannot differentiate all Trichoderma species as some meticulously related species share sequences of their ITS regions [ 14 ]. On the other hand, alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2) genes are more variable and can be used to reflect differences within and among the groups of closely related species in Trichoderma . Therefore, a combination of multigene sequencing based on ITS, EF1-α1 and RPB2 genes are useful for proper identification at species level [ 14 , 15 ]. Combinatorial strategy such as morpho-cultural characterization and molecular studies based on DNA barcodes accurately delineates various Trichoderma species [ 10 ]. Thus, the present study was carried out to characterize the Trichoderma isolates collected from apple rhizosphare using a combinatorial approach comprised of conventional methods (morpho-cultural characteristics) and molecular methods based on multigene sequencing (ITS, EF1-α1 and RPB2). Materials And Methods Collection, isolation, purification and maintenance of fungal isolates Soil samples from apple rhizosphere were collected from various apple grown areas viz. , Nikas, Tiken, Rajpora and Shadimarg in district Pulwama and Shalimar, New Theed, Harwan and Zakura in district Srinagar of Kashmir valley. Trichoderma isolates were isolated using multiple dilution plate technique [ 16 ] on Trichoderma specific medium (TSM) [ 17 ] and incubated at 28 ± 1 o C for one week until sporulation was observed. The different isolates were purified on water agar medium using single spore technique [ 18 ]. Twenty four isolates of Trichoderma species obtained from two districts namely Pulwama and Srinagar were coded as Psh1, Psh2, Psh3, PTi1, PTi2, PTi3, PNi1, PNi2, PNi3, PR1, PR2 and PR3, and SS, SR, SG, TB1, TB2, TB3, NT1, NT2, NT3, ZI, Z2 and Z3, respectively (where P- Pulwama, sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number). The 24 fungal cultures were maintained by sub-culturing on potato dextrose agar (PDA) medium and incubated at 28 ± 1 o C for further studies. Morpho-cultural Characterization Morphological and cultural characteristics of each isolate was observed on PDA medium. A 5-mm mycelial disc from each isolate was punched aseptically from an actively growing region of 7-day old culture and transferred to Petri plates containing PDA medium followed by incubation at 28 ± 1°C. After 5-days of incubation, colony characteristics viz ., colony texture, margins, colour and shape were recorded. Conidial morphology was examined by preparing spore suspension from seven-days-old culture of each isolate and observed under microscope (Olympus, Tokyo, Japan) to record shape, colour, septation and size (length and width) for at least 25 conidia per isolate. Phialid shape was also assessed after 02 days and presence or absence of chlamydospores after 10 days of incubation at 28 ± 1ºC. Cultural characteristics such as colony diameter was recorded for 03 days and growth rate calculated upto 04 days in all the isolates of Trichoderma . Mycelial dry weight of different isolates was calculated by drying the filter papers containing mycelium in a Thermotech hot air oven at 60ºC for an hour for 3 consecutive days till a constant weight was attained. Three replications were maintained for each isolate for all the experiments. Molecular characterization of various Trichoderma isolates Genomic Dna Extraction Fungal cultures of all the isolates of Trichoderma spp. were separately cultured on potato dextrose broth (PDB) medium in 150 ml Erlenmayer flasks. After sterilization of PDB medium at 15 lbs psi, flasks were inoculated with 5mm mycelial discs of each isolate and incubated at 28 ± 1°C for 7 days. Mycelium was filtered through double layered sterilized filter paper, dried between two layers of filter paper in a laminar air flow cabinet and stored separately at − 80°C for further use. The total genomic DNA of each isolate was extracted using CTAB (Cetyl trimethyl ammonium bromide) method [ 19 ] with slight modifications and diluted to a final concentration of 25 ng/µl. Quantification And Quality Check Of Dna Quantity of DNA was checked by agarose gel electrophoresis. In this, 0.8 g of agarose was dissolved in 100 ml of 0.5X Tris acetate EDTA (TAE) electrophoresis buffer. The mixture was heated till the agarose was dissolved completely i.e. when solution became transparent and clear. It was cooled down to 60°C with constant stirring. Ethidium bromide was added to a final concentration of 0.5 µg/ml of buffer. Then the agarose solution was poured into an already prepared gel mould with combs and was left for 20–30 minutes for solidification. DNA samples for loading were prepared by adding 2 µl loading dye (6X) (0.25% w/v bromophenol blue and 50% glycerol in sterile water) to 8 µl DNA so that the final concentration of loading dye was 1X. The DNA samples were loaded into wells with the help of micropipette. Along with the DNA samples, marker of known concentration was also loaded. The gel was run for about 1–2 hours and visualized under UV transilluminator using photo gel documentation system (Alfa Imager EC, Protein Simple, USA) and DNA samples were photographed. The intensity of fluorescence of each sample was compared with that of a standard marker and then DNA concentration of each sample was ascertained. The quantity of DNA samples was also checked by Nano-drop (Eppendorf, Bio-spectrometer). The quality was checked whether DNA formed a single high molecular weight band (good quality) or a smear (degraded/poor quality) in gel electrophoresis. The DNA of all the samples was diluted to 25 ng/µl by adding double distilled sterile water and used for PCR amplification. Polymerase Chain Reaction ( Pcr) Amplification Using Its, Ef1-α1 And Rpb2 Markers Polymerase chain reaction (PCR) amplification of ITS, EF1-α1 and RPB2 genes was performed in 0.2 ml PCR tubes in a T-Gradient thermal cycler (Whatman Biometra, T-Gradient, Goettingen, Germany) using 40-50ng of genomic DNA of each isolate in a final volume of 50µl reaction mixture. The ITS region (5.8S) of rDNA was amplified using ITS1 (5’TCCGTAGGTGAACCTGCG3’) and ITS4 (5’TCCTCCGCTTATTTGATATGC3’) primers [ 20 ]. Alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2) genes were amplified according to the procedure given by Shoukouhi and Bisset [ 21 ]. A fragment of 5’ end of EF1-α1 gene containing three introns was amplified using a primer combination of 1 (5’CAAAATGGGTAGGAGGASAAGAC3’) and 2 (CAGTACCGGCRGCRATRATSAG3’) following touch-down PCR. This amplified product was re-amplification by an internal PCR using primer combination of 3 (5’AGGACCAAGACTCACATCAACG3’) and 4 (5’AGTACCAGTGATCATGTTCTTG’3). A fragment of subunit 2 of RNA polymerase B II (RPB2) gene was amplified using primer pair of 5 (5’TGGGGWGAYCARAARAAGG’3) and 6 (5’CATRATGACSGAATCTTCCTGGT’3) following a touch-down PCR followed by an internal PCR using a primer pair of 5 (5’TGGGGWGAYCARAARAAGG’3) and 7 (5’GGTTGTGATCRGGRAARGGAATG’3). Dna Sequencing And Phylogenetic Analysis After PCR amplification using ITS, EF1-α1 and RPB2 primers in 50 µl reaction mixture, 5 µl of PCR amplified product of different isolates was electrophoresed to ensure successful amplification and remaining 45 µl PCR amplified products of 24 isolates of Trichoderma spp. were sent for custom sequencing to Genei Labs, Bangalore, India. The sequences for each forward and reverse primer were retrieved from chromatograms received. The sequence alignment was carried out for both forward and reverse sequences in BioEdit version 7.0 [ 22 ] to obtain consensus sequences for each isolate. Similarly, all the 24 sequences each for 3 genes namely ITS, EF1-α1 and RPB2 were obtained and analyzed through BLASTn programme of NCBI ( http://www.ncbi.nlm.nih.gov/BLAST ) to compare the present sequences with the available database of National Centre for Biotechnological Information (NCBI) ( http://www.nlm.nih.gov/nuccore ). The consensus sequences of ITS, EF1-α1 and RPB2 genes for each isolate obtained were compared with five sequences of each of T. harzianum, T. viride, T. koningiopsis, T. hamatum, T. asperellum, T. asperelloide s retrieved from NCBI database using molecular evolutionary genetic analysis (MEGA) software version 10.0 [ 23 ]. An optimal tree was generated by using Kimura-2-parameter substitution model and different taxa were clustered together in a bootstrap test with 1000 replicates [ 24 ]. The phylogenetic analysis confirmed the clustering of isolates into different clades. The twenty-four sequences of each gene were submitted to GenBank National Centre for Biotechnological Information (NCBI) for allotment of Accession numbers. Results Morpho-cultural characterization Colony characteristics of the Trichoderma isolates Different Trichoderma isolates cultured on potato dextrose agar (PDA) medium showed significant variations in their colony characteristics viz. , colony texture, margins, colour and shape (Table 1 ; Fig. 1 ). Based on colony texture, Trichoderma isolates were divided into Group I (cottony), Group II (Fluffy), and Group III (Velvety) accommodating 33.33 per cent isolates (Psh2, Psh3, PTi1, PTi2, PR3, NT2, Z1 and Z2), 41.67 per cent (Psh1, PTi3, PNi1, PNi3, PR1, PR2, SR, SG, TB2 and TB3) and 25.0 per cent isolates (PNi2, SS, TB1, NT1, NT3 and Z3), respectively, (Table 1 ). The various isolates were grouped into Group I (regular margins) and Group II (irregular margins) based on colony margins (Table 1 ). Majority of the isolates namely Psh1, Psh2, Psh3, PTi1, PTi2, PNi2, PNi3, PR1, PR2, PR3, SS, SR, SG, TB1, TB3, NT1, NT2, NT3, Z1, Z2 and Z3 (87.50%) were accommodated in Group I, whereas Group II comprised of only three isolates viz. , PNi1, PTi3 and TB2 (12.50%). Based on colony colour, Trichoderma isolates were categorized into four groups as Group I (light green with white centre), Group II (dark green with white centre), Group III (Blackish green with white centre) and Group IV (green with dull white centre) accommodating 20.83, 45.83, 16.67 and 16.67 per cent isolates, respectively, (Table 1 ). Based on colony shape, the isolates were divided into four groups accommodating 4 (16.67%), 4 (16.67%), 6 (25.00%) and 10 (41.66%) isolates in Group I, Group II, Group III and Group IV, respectively (Table 1 ). Conidial Characteristics And Shape Of Phialides Different isolates of Trichoderma species cultured on PDA medium showed significant variations in their spore characteristics such as colour, shape, ornamentation, and shape of phialides. Accordingly, grouping of the isolates such as Group I, II, III and IV was carried out (Table 2 ; Fig. 2 a-b). Group I accommodated a maximum number of isolates (41.66%) followed by Group II and III (20.84% each) whereas, the Group IV was comprised of minimum number of isolates (16.66%). Group Features Isolates $ Percentage Table 2 Grouping of Trichoderma isolates based on spore colour, shape, ornamentation and shape of phialides I Bright green, smooth walled, sub-globose to obvoid conidia having swollen phialide. Psh1, PTi3, PNi1, PNi3, PR1, PR2, SR, SG, TB2, TB3 41.66 II Yellow green, rough walled, globose to sub-globose conidia with slender phialide PNi2, TB1, NT3, Z1, Z3 20.84 III Pale green, smooth walled, globose to sub-cylindrical conidia on elongated phialides PTi1, PR3, NT1, NT2, Z2 20.84 IV Olive green, smooth walled, globose conidia on flask shaped phialide Psh2, Psh3, PTi1, Z1 16.66 $ P- Pulwama, sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number. Conidial size (length x breadth) of Trichoderma isolates ranged from 2.50-5.00 µm x 2.00-3.80 µm (Table 3 ). The maximum mean conidial length of 4.75 µm and breadth of 3.65 µm (4.75 x 3.65 µm size) was observed in isolate SR followed by isolates PR2 (4.65 x 3.55 µm) and PR3 (4.65 x 3.40 µm) (Table 3 ). The minimum mean conidial length of 2.50 µm and breadth of 2.25 µm (2.50 x 2.25 µm size) was observed in isolate Z1. The maximum length and breadth ratio of 1.43 µm was observed in isolate PNi2 whereas, the minimum length and breadth ratio of 1.11 µm was observed in isolate Z1. Cultural Characterization Colony diameter, growth rate and mycelial dry weight Significant variation was recorded in growth characteristics such as colony diameter, growth rate and mycelial dry weight of different Trichoderma isolates (Table 4 ). Colony diameter of different isolates ranged from 62.60 to 89.70 mm and the highest mean colony diameter (89.70 mm) was recorded in isolate PR2 followed by SR (88.00 mm), PTi1 (84.40 mm), whereas, the least colony diameter (62.60 mm) was recorded in isolate Psh2 (Table 4 ). The average growth rates varied between 17.63–21.31 mm/day with maximum growth rate of 21.31 mm/ day recorded in isolates Psh2, TB3, NT2 and Z1 (Table 4 ). The lowest growth rate of 17.63 mm/ day was observed in isolate Z1. The average mycelial dry weight of different isolates ranged from 110.36 to 217.67 mg and the highest mycelial dry weight of 217.67 mg was recorded in isolate PR2 followed by SR (197.70 mg), whereas, the lowest mycelial dry weight (110.36 mg) was recorded in isolate PTi3 (Table 4 ). Table 4 Cultural characteristics of different Trichoderma isolates on potato dextrose agar (PDA) medium Isolate $ Colony diameter * (mm) Growth rate *** (mm/day) Mycelial dry weight ** (mg) Psh1 67.10 ± 0.454 b 21.31 ± 9.88 116.17 ± 0.635 c Psh2 62.60 ± 0.487 a 21.25 ± 10.26 110.40 ± 0.583 a Psh3 72.80 ± 0.480 g 21.21 ± 9.10 134.89 ± 0.605 i PTi1 84.40 ± 0.285 n 21.25 ± 11.48 173.47 ± 0.914 s PTi2 72.65 ± 0.675 fg 21.22 ± 8.41 121.51 ± 0.693 e PTi3 72.85 ± 0.379 g 21.27 ± 9.23 110.36 ± 0.694 a PNi1 81.80 ± 0.647 l 21.25 ± 13.68 167.20 ± 0.678 o PNi2 75.30 ± 0.325 h 21.21 ± 10.23 159.45 ± 0.122 m PNi3 77.55 ± 0.410 j 21.25 ± 11.72 168.94 ± 0.901 p PR1 82.50 ± 0.176 m 21.25 ± 14.14 158.39 ± 0.585 m PR2 89.70 ± 0.209 p 21.25 ± 14.43 217.67 ± 0.963 u PR3 80.80 ± 0.480 k 21.30 ± 13.01 145.52 ± 1.150 j SS 75.25 ± 0.395 h 21.28 ± 8.32 151.65 ± 0.255 l SR 88.00 ± 0.480 o 21.25 ± 13.34 197.70 ± 0.478 t SG 70.75 ± 0.395 c 21.27 ± 6.52 120.92 ± 0.478 e TB1 72.90 ± 0.454 g 21.20 ± 9.88 133.56 ± 1.295 h TB2 81.10 ± 0.223 k 21.22 ± 10.77 148.73 ± 0.650 k TB3 82.35 ± 0.285 lm 21.31 ± 14.60 172.19 ± 0.504 r NT1 73.15 ± 0.487 g 21.22 ± 9.24 123.52 ± 0.343 f NT2 76.15 ± 0.487 i 21.31 ± 11.14 165.66 ± 0.982 n NT3 82.45 ± 0.410 m 21.26 ± 14.28 170.31 ± 0.241 q Z1 71.40 ± 0.602 d 21.31 ± 9.79 118.44 ± 0.311 d Z2 72.15 ± 0.627 ef 17.63 ± 8.91 124.88 ± 0.357 g Z3 71.85 ± 0.418 de 21.30 ± 10.97 112..45 ± 0.380 b CD (0.05) Isolate*Time: 0.680 - * Mean of 3 replications at 28 ± 1 o C of incubation; $ P- Pulwama, sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number; Values superscripted with same alphabet are not significantly different All the morphological and cultural characteristics of different isolate of the Trichoderma species were compared with the available literature [ 9 , 25 , 26 , 27 , 28 ] and identified up to species level. Therefore, based on morpho-cultural characterization, 24 isolates of Trichoderma species were identified and categorized into 4 groups representing 4 species of Trichoderma (Table 5 ). Isolates $ (percentage) Identified species * Table 5 Identification of Trichoderma isolates upto species level based on morpho-cultural characterization Psh2, Psh3, PTi1, Z1 (16.66%) T. harzianum PNi2, SS, TB1, NT1, NT3 Z3 (25.00%) T. viride PTi1, PR3, NT2, Z2 (16.66) T. koningiopsis Psh1, PTi3, PNi1, PNi3, PR1, PR2, SR, SG, TB2, TB3 (41.66%) T. hamatum * T - Trichoderma ; $ P- Pulwama, Sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number Molecular characterization of Trichoderma species Dna Extraction, Quantification And Quality Check The DNA of 24 Trichoderma isolates was extracted by CTAB method [ 19 ] (Fig. 3 a) and quantified using Nano-drop and diluted to 40-50ng/µl. Good quality DNA was stored Phylogenetic Analysis Of Multigene Sequence Data The identification based on morpho-cultural characterization of various Trichoderma isolates was confirmed using polymerase chain reaction (PCR) based molecular markers viz. , internal transcribed spacer (ITS), alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2). The amplification of ITS region with primers ITS1 and ITS4 yielded approximately 600 bp product (Fig. 3 b). The EF-α1 and RPB2 sequences were also analyzed to confirm the authenticity for the identification of Trichoderma species based ITS sequencing. The amplification of the EF1-α1 region by touch-down PCR using primer combination 1 and 2 showed the amplicon size of approximately 920 bp (Fig. 3 c). The internal PCR then implemented using primers 3 and 4 amplified a band of about 870 bp using the first PCR products as template (Fig. 3 d). Similarly, the touch-down PCR of RPB2 sequences yielded bands of approximately 1240 bp, and the internal PCR showed an amplicon size of about 940 bp (Fig. 3 e). From all the 24 isolates of Trichoderma species, a single band was successfully amplified for each gene (ITS, EF-α1 and RPB2) and then sequenced (Fig. a-c). The sequences were retrieved from the chromatograms for forward and reverse primers separately and consensus sequences obtained. The phylogenetic analysis of 24 based on ITS, EF1-α1 and RPB2 genes along with the five sequences of Trichoderma species ( T. harzianum, T. viride, T.koningiopsis, T. asperellum, T. asperelloides and T. hamatum ) retrieved from NCBI database ( www.nlm.nih.gov/nuccore ) for the comparison was performed using molecular evolutionary genetic analysis (MEGA) software version 10.0. An optimal tree was generated using Kimura-2-parameter substitution model and different taxa were clustered together in a bootstrap test with 1000 replicates and dendrogram generated. Based on a concreated data set of three genes namely ITS, EF1-1, and RPB2, 24 isolates of Trichoderma species were broadly grouped into three clades (A, B and C), then further sub-divided into sub-clades. The clade B and C comprised of Trichoderma isolates based on EF1-α1 and RPB2 sequences, respectively. Based on clustering of 24 sequences of EF1-α1 and RPB2 genes showed similar results and grouped 24 isolates into six sub-clades identified as T. koningiopsis (Clade I), T. viride (Clade II), T. asperellum (Clade III), T. asperelloides (Clade IV), T. hamatum (Clade V) and T. harzianum (Clade VI), respectively, (Table 7 , Fig. 4 ). However, results obtained from the internal transcribed spacer (ITS) region (Clade 3), Trichoderma isolates were grouped into five sub-clades identified as Trichoderma . species (Clade I), T. harzianum (Clade II), T. viride (Clade III), T. asperelloides (Clade IV) and T. Koningiopsis (Clade IV) (Table 6 , Fig. 4 ), respectively, in which few isolates showed cross identity and grouped with other species when compared to EF1-α1 and RPB2 results. Table 7 Identification of species based on phylogenetic analysis of alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2) genes Species * Isolates $ Percentage T. asperelloides PTi3, PNi1, PR1, TB2 16.67 T. asperellum Psh1, PNi3, TB3 12.50 T. hamatum PR2,SR, SG 12.50 T. viride PNi2, SS, TB1, NT3, Z3 20.83 T. koningiopsis PTi1, PR3, NT1, NT2, Z2 20.83 T. harzianum Psh2, Psh3, PTi2, Z1 16.67 * T - Trichoderma ; $ P- Pulwama, sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number It was found that the morpho-cultural or molecular characterization alone could not produce the similar results. Therefore, the final confirmation for the identification of various Trichoderma species was obtained based on combined approach of morpho-cultural as well as molecular characterization based on ITS, EF1-α1 and RPB2 genes and grouped twenty four isolates into six groups viz. , Group I ( T. koningiopsis ), Group II ( T. viride ), Group III ( T. asperellum ), Group IV ( T. asperelloides ), Group V ( T. hamatum ) and Group VI ( T. harzianum ) accommodating 5 (PTi1, PR3, NT1, NT2, Z2), 5 (PNi2, SS, TB1, NT3, Z3), 3 (Psh1, PNi3, TB3), 4 (PTi3, PNi1, PR1, TB2), 3 (PR2, SR, SG) and 4 (Psh2, Psh3, PTi2, Z1) isolates, respectively, thereby indicating the presence of six species of Trichoderma in apple rhizosphere in two districts of Srinagar and Pulwama (Table 8 ). The each sequence based on ITS, EF-α1 and RPB2 genes of Trichoderma species was used in nucleotide blast program of NCBI database for the identification of each isolate and submitted to the Genbank NCBI, and Accession numbers obtained from MZ292909 to MZ292931 and MZ292986, MZ322871 to MZ322894 and MZ361055 to MZ361078, respectively (Table 8 ). Table 8 Final confirmation of Trichoderma isolates based on morpho-cultural and molecular characterization Isolates $ No. Accession Number Identified species * Percentage ITS EF1 RPB2 PTi1 MZ292930 MZ322894 MZ361073 T. koningiopsis 20.83 PR3 MZ292931 MZ322890 MZ361070 NT1 MZ292920 MZ322891 MZ361071 NT2 MZ292926 MZ322892 MZ361072 Z2 MZ292925 MZ322893 MZ361069 PNi2 MZ292914 MZ322886 MZ361075 T. viride 20.83 SS MZ292923 MZ322887 MZ361076 TB1 MZ292921 MZ322888 MZ361077 NT3 MZ292922 MZ322889 MZ361078 Z3 MZ292924 MZ322885 MZ361074 Psh1 MZ292915 MZ322873 MZ361057 T. asperellum 12.50 PNi3 MZ292986 MZ322872 MZ361056 TB3 MZ292927 MZ322871 MZ361055 PTi3 MZ292909 MZ322874 MZ361064 T. asperelloides 16.67 PNi1 MZ292910 MZ322875 MZ361065 PR1 MZ292929 MZ322877 MZ361062 TB2 MZ292918 MZ322876 MZ361063 PR2 MZ292916 MZ322884 MZ361066 T. hamatum 12.50 SR MZ292917 MZ322883 MZ361067 SG MZ292928 MZ322882 MZ361068 Psh2 MZ292911 MZ322879 MZ361059 T. harzianum 16.67 Psh3 MZ292912 MZ322880 MZ361060 PTi2 MZ292914 MZ322881 MZ361058 Z1 MZ292913 MZ322878 MZ361061 * T - Trichoderma ; $ P- Pulwama, sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number Discussion Twenty four isolates of Trichoderma species were obtained from apple rhizosphere of Jammu and Kashmir, a North-western region of India and identified on the basis of morpho-cultural characters followed by their molecular confirmation using sequencing of ITS, EF1-α1 and RPB2 genes following different protocols [ 11 , 15 , 28 , 29 ]. Morpho-cultural characterization of 24 isolates of Trichodema species was studied based on colony characters like texture, margins, colour, shape, diameter and growth rate, spore characteristics, shape of phialides, and mycelial dry weight. Based on colony texture, three groups comprising of Group I (flat cottony growth), Group II (fluffy growth) and Group III (flat granular growth) were formed accommodating 33.33, 41.67 and 25.00 per cent of isolates, respectively. Grouping of the isolates based on colony margins was also carried out and distributed 24 isolates into two groups. Group I with uniform margins accommodated 87.5 per cent of isolates and Group II with irregular margins comprised of 12.50 per cent isolates. Similarly, grouping based on colony colour distributed the isolates into four groups, Group I with whitish to light green colony color, Group II (white to dark green), Group III (white to black green) and Group IV (dull white to green) accommodating 20.83, 45.83, 16.67 and 16.67 per cent isolates, respectively. Similarly, based on colony shape, 4 groups were formed namely Group I, II, III and IV accommodating 16.67, 16.67, 25 and 41.66 per cent isolates, respectively. Present results were in close agreement with the observations of different workers around the world [ 30 , 31 , 32 ] who also found that the colonies of various Trichoderma isolates were flat cottony, fluffy or raised and flat granular in texture having regular or irregular margins on PDA medium. Sharma and Singh [ 33 ] also reported that the majority of Trichoderma isolates showed different colony colour like dark green (12 isolates), whitish green (9 isolates), light green (6 isolates) and rest of the isolates (3) had yellowish green colonies. Kamaruzzaman et al. [ 34 ] also observed that the colony colour of 10 selected isolates of Trichoderma varied from dark green to light green or black green or whitish green. Similarly, Amaresh et al. [ 35 ] also reported colour variation from dark green or light green to yellowish green with flat to raised growth pattern. These observations were in close agreement with our results. The colony shape varied in different isolates of this fungus. Production of green spore mass was observed either at centre of the Petri plates containing PDA medium making 1–2 concentric rings or spread over the entire plate with yellowish or whitish aggregated spore mass or white mycelium with green conidia towards the margin of the plate. Some isolates formed white mycelium with limited green conidial formation in concentric rings near the centre or dispersed along the margin. The results of colony shape were in close agreement with the observations made by other workers [ 30 , 36 ]. Distinct variation was found in spore characteristics viz. , spore colour, shape, ornamentation, size, and shape of phialides in different isolates. Based on conidial colour, four groups such as Group I with olive green coloured spores, Group II (yellow green), Group III (pale green) and Group IV (bright green) were formed accommodating 4 (16.60%), 5 (20.80%), 5 (20.80%) and 10 (41.40%) isolates, respectively. Likewise, grouping of isolates on the basis of spore shape resulted in four groups viz. , Group I with globose shaped conidia, Group II (globose to sub-globose), Group III (globose to sub-cylindrical) and Group IV (sub-globose to obvoid condia) accommodating 4 (16.60%), 5 (20.80%), 5 (20.80%) and 10 (41.40%) isolates, respectively. Grouping on the basis of spore ornamentation, isolates were distributed into two groups namely Group I with smooth walled conidia accommodated 83.33 per cent isolates and Group II (rough walled) comprised of 16.67 per cent isolates. Based on shape of phialides, four groups such as Group I with flask shaped phialides, Group II (slender), Group III (elongated) and Group IV (swollen) phialides were formed accommodating 4 (16.60%), 5 (20.80%), 5 (20.80%) and 10 (41.40%) isolates, respectively. Similar observations were recorded by different workers all over the world [ 27 , 30 , 36 , 37 , 38,, 39 , 40 , 41 ], and Kabir et al. [ 42 ] who also found that the shape and ornamentation of various Trichoderma isolates as globose, globose to sub-globose, globose to sub-cylindrical and sub-globose to obvoid in shape having smooth and rough ornamentation. Similarly, Gams and Bisset [ 28 ] found that conidial colour varied from typical green to olive green or grey or brown or sometimes colourless. Sriram et al. [ 43 ] also reported that the conidia in Trichoderma species were olive green or dark green in colour. Grouping on the basis of phialide shape distributed different isolates into four groups viz. , Group I with flask shaped phialides, Group II (slender), Group III (elongated) and Group IV (swollen) accommodating 4 (16.60%), 5 (20.80%), 5 (20.80%) and 10 (41.40%) isolates, respectively. Rifai [ 9 ] and other workers [ 30 , 31 , 40 , 41 ] from time to time also found that the shape of phialide of various Trichoderma isolates were flask to slender, elongated or swollen confirming the results obtained from the present study. The maximum conidial length and breadth was observed in isolate SR whereas the minimum was observed in isolate Z1. The maximum length and breadth ratio was observed in isolate PNi2, whereas the minimum length and breadth ratio was again observed in isolate Z1. Conidial size was reported to vary from of 2–5 × 2–4 µm in different Trichoderma isolates [ 28 ]. Similar observations were also recorded by Soesanto et al. [ 44 ], who found variability in spore dimensions of four Trichoderma isolates. Sriram et al. [ 43 ] recorded the conidial size in 30 different Trichoderma isolates and reported that the conidial size and L/W ratio varied significantly in T. viride and T. asperellum. Significant variation was found in Trichoderma isolates with respect to colony diameter on PDA medium. The highest colony diameter was recorded in PR2 isolate and the least in Psh2 isolate. Similar results were also obtained by different workers in terms of colony diameter of Trichoderma isolates on PDA [ 33 , 34 , 36 , 45 , 46 , 47 ]. Distinct variations were also observed in average growth rate of different isolates of Trichoderma on PDA medium. The highest growth rate was observed in Psh1, PNi2, NT2, Z1 isolates and the least growth rate was observed in TB2 isolate. Variations in terms of growth rates of different Trichoderma isolates has been reported in Trichoderma species by different workers [ 47 , 48 , 49 ]. A high level of variation was also observed in terms of mycelial dry weight in Trichoderma isolates. The highest mycelial dry weight was recorded in PR2 isolate and the least in PTi3 isolate. A significant variation in terms of mycelial dry weight of different isolates of Trichoderma was also reported by different workers [ 32 , 49 , 50 , 51 , 52 ]. Thus, based on morpho-cultural characterization, the 24 isolates of Trichoderma were identified up to species level and grouped them in four species. The isolates namely Psh2, Psh3, PTi2 and Z1 belong to T. harzianum , whereas the isolates PNi2, SS, TB1, NT1, NT3 and Z3 belong to T. viride as described by Bisset [ 25 , 26 ] and others [ 27 , 28 , 30 , 39 , 41 ]. Isolates namely PTi1, PR3, NT2 and Z2 belong to T. koningiopsis and 10 isolates Psh1, PTi3, PNi1, PNi3, PR1, PR2, SR, SG, TB2 and TB3 belong T. hamatum as described by Rifai [ 9 ], Bissett [ 26 ] and Nagamani et al. [ 41 ]. Molecular Characterization Based On Multiple Gene Sequencing The phylogenetic analysis of sequence based concreted data set of three genes namely internal transcribed spacer (ITS), alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2) genes grouped 24 isolates of Trichoderma species in to three distinct clades as clade A, B and C, respectively. Clade A based on internal transcribed spacer (ITS) sequences grouped the 24 isolates into five sub-clades viz. , Clade I, II, III, IV and V accommodating 8.33, 16.67, 25.00, 20.84 and 29.16 per cent isolates, respectively (Table 6 ; Fig. 4 ). The isolates in clade I were identified as Trichoderma species (2 isolates), Clade II as T. harzianum (4 isolate), Clade III as T. viride (6 isolate), Clade IV as T. asperelloides (5 isolate) and Clade V as T. koningiopsis (7 isolate). Kindermann et al. [ 53 ] for the first time attempted to study the phylogeny of whole Trichoderma genus based on sequencing of ITS region, and reported it as a powerful tool for authentic identification of Trichoderma species being highly conserved within the species but varies from species to species. Other researchers also reported the importance of ITS sequence in Trichoderma species identification [ 54 , 55 , 56 , 57 ]. However, the results obtained from the ITS were not in congruence with the morpho-cultural data. This could be possible due to the reason that few morphological characters with limited variation may lead to an overlap and misidentification of the isolates/strains also described by various workers from time to time [ 29 , 58 , 59 , 60 ]. The phylogenetic analysis of sequences of 24 isolates based on alpha elongation factor (EF1-α1) (clade B) and RNA polymerase B II (RPB2) (clade C) genes revealed the similar results (Fig. 4 ). Twenty-four isolates of Trichoderma species based on EF1-α1 and RPB2 genes were grouped into six sub- clades viz. , Clade I, II, III, IV, V and VI. The isolates in clade I were identified as T. koningiopsis , Clade II as T. viride , Clade III as T. asperellum , Clade IV as T. asperelloides , Clade V as T. hamatum and Clade VI as T. harzianum accommodating 20.83, 20.83, 12.50, 16.67, 12.50 and 16.67 per cent isolates, respectively. Other researchers have also reported the importance of alpha elongation factor and RNA polymerase B II genes sequencing in identification and phylogenetic analysis of Trichoderma species [ 11 , 61 , 62 , 63 , 64 ]. However, the results obtained from EF1-α1 and RPB2 genes were slightly different from results obtained from ITS region being highly conserved across the species. Therefore, this can be the probable reason for not differentiating the some species leading to mis-identifications, may be due to the presence of non-orthologous copies of ITS in these isolates as also reported by Hoyos-Carvajal et al. [ 15 , 65 , 66 , 67 ]. Alpha elongation factor and RNA polymerase B II genes were also explored to distinguish Trichoderma species because of their variability, therefore able to reflect species differences within and among the groups of closely related species [ 14 ]. 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(2020). The morphological and molecular characterization of Trichoderma spp. in cocoa agroforestry systems. Open Science Journal , 5(4). Cite Share Download PDF Status: Posted Version 1 posted 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. 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S.","email":"","orcid":"","institution":"Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Sana","middleName":"B.","lastName":"S.","suffix":""},{"id":165548899,"identity":"f50caa29-3505-478a-913d-f1330c93d73c","order_by":1,"name":"Sumaira H.","email":"","orcid":"","institution":"Integral University Department of Biosciences","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Sumaira","middleName":"","lastName":"H.","suffix":""},{"id":165548900,"identity":"a57b0d92-7941-4a70-9053-056e1066e640","order_by":2,"name":"M. S. Dar","email":"","orcid":"","institution":"Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"M.","middleName":"S.","lastName":"Dar","suffix":""},{"id":165548901,"identity":"9af7994e-1a12-404c-851d-146686e4983c","order_by":3,"name":"Bila A. Padder","email":"","orcid":"","institution":"Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Bila","middleName":"A.","lastName":"Padder","suffix":""},{"id":165548902,"identity":"5efb8d83-f9ff-4dcf-a430-1ac00f6961e7","order_by":4,"name":"Imran Khan","email":"","orcid":"","institution":"Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Imran","middleName":"","lastName":"Khan","suffix":""},{"id":165548903,"identity":"daa1aafe-5792-4c0c-8775-4d1ff4093b8f","order_by":5,"name":"Misbah M.","email":"","orcid":"","institution":"Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Misbah","middleName":"","lastName":"M.","suffix":""},{"id":165548904,"identity":"ed025ca9-dadb-412d-81db-e7adc140a3a5","order_by":6,"name":"Maheen M.","email":"","orcid":"","institution":"Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Maheen","middleName":"","lastName":"M.","suffix":""},{"id":165548905,"identity":"ac0ae994-b60a-496a-8ac3-1f70bb191e7b","order_by":7,"name":"Sehla K.","email":"","orcid":"","institution":"Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Sehla","middleName":"","lastName":"K.","suffix":""},{"id":165548906,"identity":"396edbee-2ea3-4b8b-912d-d9104430876d","order_by":8,"name":"Asha Nabi","email":"","orcid":"","institution":"Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Asha","middleName":"","lastName":"Nabi","suffix":""},{"id":165548907,"identity":"7aef126a-2671-4ece-be07-9a33beb78288","order_by":9,"name":"Snober S. Mir","email":"","orcid":"","institution":"Integral University Department of Biosciences","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Snober","middleName":"S.","lastName":"Mir","suffix":""},{"id":165548908,"identity":"02e78a01-f26a-497c-8e0f-030da632de0d","order_by":10,"name":"Mehraj D. Shah","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABBElEQVRIie2PsWrDMBCGJQ7s5SCrjUPfIKAi8GTog3RxCThLCn2A0CpTFvcBAn0YgcFZRLtqKCReMjngMVBTKnks2M4YiD44dBL38esIcTiuErT1Cw87YU52NyGEruUFivSJklbhoSBUXKAQOSE6tb1VzHVImG3ey+Y8/Y7o9lQd6hcWzDaFSVklj31KrD7n2xyPHKIFv/9gLIjVk1HK7Fn0KXrJCSLMvSjzImTtayyNQkXRr+xrTluEtzws/R+0KV/ViKKRA2IBQeB50Cl6LEUtOUwxA2Yq7HbRJiUd2mWnOD3lCTC/pE3d2o8tqkOzSnqVDpr/f0mHxjvOoxMOh8Nxy/wBAcZb6gGPsyYAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0003-3325-4229","institution":"Sher-E-Kashmir University of Agricultural Sciences and Technology Kashmir","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Mehraj","middleName":"D.","lastName":"Shah","suffix":""}],"badges":[],"createdAt":"2022-12-30 17:39:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2429359/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2429359/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":31386315,"identity":"366c52d8-96e9-48dc-bc20-a9e254d39309","added_by":"auto","created_at":"2023-01-10 21:05:14","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":4202117,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eMycelial growth of different \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eTrichoderma\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e isolates on potato dextrose agar medium after 5 days of incubation at 28±1\u003c/strong\u003e\u003csup\u003e\u003cstrong\u003eo\u003c/strong\u003e\u003c/sup\u003e\u003cstrong\u003eC\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"Fig.1.png","url":"https://assets-eu.researchsquare.com/files/rs-2429359/v1/1e9e8fda7e595d1fe0d5213b.png"},{"id":31386314,"identity":"54b353d2-1d08-49b4-a4d7-48ac11a4c311","added_by":"auto","created_at":"2023-01-10 21:05:14","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":2473424,"visible":true,"origin":"","legend":"\u003cp\u003ea \u003cstrong\u003eSpore characteristics of \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eTrichoderma\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e isolates on PDA after 07 days of incubation at 28±1\u003c/strong\u003e\u003csup\u003e\u003cstrong\u003eo\u003c/strong\u003e\u003c/sup\u003e\u003cstrong\u003eC; a) Olive green, globose, smooth conidia; b) Yellow green, globose to sub-globose, rough conidia; c) Pale green, globose to sub-cylindrical, smooth conidia; d) Bright green, sub-globose to obvoid, smooth conidia\u0026nbsp; b Phialide formation in different \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eTrichoderma\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e isolates after 2 days of incubation at 28±1\u003c/strong\u003e\u003csup\u003e\u003cstrong\u003eo\u003c/strong\u003e\u003c/sup\u003e\u003cstrong\u003eC; a) Flask shaped phialides; b) Slender shaped phialides; c) Elongated shaped Phialides; d) Swollen shaped phialides\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-2429359/v1/c04c96bbc132fe8f45281e77.png"},{"id":31385547,"identity":"7a352e9f-f5f9-43f0-be5c-5e4d33a4e4ec","added_by":"auto","created_at":"2023-01-10 20:57:14","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":512130,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eMolecular characterization of \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eTrichoderma \u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003eisolates using PCR based molecular markers\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLane L: DNA Ladder 500bp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLane 1-24: Twenty four \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eTrichoderma\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003eisolates\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ea)\u003c/strong\u003e \u003cstrong\u003eDNA of 24 \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eTrichoderma \u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003eisolates\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eb)\u003c/strong\u003e \u003cstrong\u003ePCR amplification of ITS region of 24 isolates using ITS1 \u0026amp; ITS4 primers\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ec)\u003c/strong\u003e \u003cstrong\u003eTouchdown PCR amplification of EF1-α1gene using EF1 \u0026amp; EF2 primers\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ed)\u003c/strong\u003e \u003cstrong\u003eInternal PCR amplification of EF1-α1 gene using EF3\u0026amp; EF4 primers\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ee)\u003c/strong\u003e \u003cstrong\u003eTouchdown PCR amplification of RPB2 gene using RPB2-5\u0026amp; RPB2-6 primers\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInternal PCR amplification of RPB2 gene using RPB2-5 \u0026amp; RPB2-7 primers\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"Fig.3.png","url":"https://assets-eu.researchsquare.com/files/rs-2429359/v1/4ed582416ac4d1d4199e9a5d.png"},{"id":31385544,"identity":"e64a8f7c-2098-44c6-a7a8-370d8ef54926","added_by":"auto","created_at":"2023-01-10 20:57:14","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":102347,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePhylogenetic relationship among \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eTrichoderma\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e species based on Internal transcribed spacer (ITS), Alpha elongation factor (EF1-α1) geneand RNA \u0026nbsp;polymerase B II gene (RPB2) gene\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"Fig.4.png","url":"https://assets-eu.researchsquare.com/files/rs-2429359/v1/069d0e42f0d74c08b68175f1.png"},{"id":32747623,"identity":"310d9fbb-4f2f-41a8-9c7a-456b1ebc864c","added_by":"auto","created_at":"2023-02-10 10:01:13","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":5430392,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2429359/v1/ba6b57bc-68b1-4c38-ba1d-ac735b4fa6ab.pdf"}],"financialInterests":"","formattedTitle":"Morpho-cultural and molecular characterization of Trichoderma species from apple rhizosphere of North-western Himalayan temperate region of India","fulltext":[{"header":"Introduction","content":"\u003cp\u003eApple is a premier table fruit cultivated in the temperate regions of the world and to some extent in cool highlands of sub-tropical regions such as East Africa and North-eastern parts of India. In India, apple cultivation accounts for 55 per cent of the total area and 75 per cent of the total production under temperate fruits [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. In India, commercial cultivation of apple is confined to Jammu and Kashmir and Himachal Pradesh, and some selected parts of Uttrakhand, Arunachal Pradesh, Manipur and Sikkim. Apple is the most important fruit crop in Jammu and Kashmir covering an area of 164742 thousand hectares with an annual production of 1882.319 thousand metric tonnes [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Apple is prone to various fungal, bacterial and viral diseases affecting its quality and production; however, fungal diseases inflict huge losses to the crop. Among the various soil borne diseases, white root rot and collar rot diseases caused by \u003cem\u003eDematophora necatrix\u003c/em\u003e and \u003cem\u003ePhytopthora cactorum\u003c/em\u003e, respectively, are few of the major threats after scab to apple industry throughout the world and in Jammu and Kashmir also.\u003c/p\u003e \u003cp\u003eVarious strategies such as pesticide and biological control agents are being used to manage the plant diseases especially soil borne diseases [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. The excessive use of pesticides leads to contamination of soil and water. Moreover, many components of pesticides are recalcitrant and persist in environment for longer duration [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Application of biological control agents for plant disease management is gaining popularity as a way to reduce or eliminate the use of synthetic pesticides [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Among the various biological control agents of fungal and bacterial origin, \u003cem\u003eTrichoderma\u003c/em\u003e species is the most intensively studied biocontrol agent. The biocontrol activity of \u003cem\u003eTrichoderma\u003c/em\u003e species is of immense importance to agriculture as well as to environment without any harmful effect on plants, animals and humans [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eGenus \u003cem\u003eTrichoderma\u003c/em\u003e belonging to phylum: Ascomycetes, class: Sordariomycetes, order: Hypocreales, family: Hypocreaceae is green-spored fungus present in nearly all types of temperate and tropical soils. Some of the species of \u003cem\u003eTrichoderma\u003c/em\u003e like \u003cem\u003eT. viride\u003c/em\u003e, \u003cem\u003eT\u003c/em\u003e. \u003cem\u003eharzianum\u003c/em\u003e, \u003cem\u003eT. longibrachiatum\u003c/em\u003e, \u003cem\u003eT. hamatum\u003c/em\u003e and \u003cem\u003eT. koningii\u003c/em\u003e are efficient biocontrol agents with an ability to inhibit the growth of soil borne plant pathogens, hence improve overall plant health [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. These are opportunistic, avirulent plant symbionts and parasites of other plant pathogenic fungi prevalent in soil and root ecosystems [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eDue to ecological and economic significance, the taxonomy, biodiversity and biogeography of \u003cem\u003eTrichoderma\u003c/em\u003e species are important. Rifai made an initial attempt to understand the diversity in \u003cem\u003eTrichoderma\u003c/em\u003e spp. by introducing the concept of 9 \u0026ldquo;species groups\u0026rdquo; [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. However, these groups could include multiple species that cannot be distinguished based on morphological characteristics alone. To overcome this limitation, the research over the past many years is being focussed on application of molecular approaches for species differentiation. Many difficulties encounter in determining the morphology of \u003cem\u003eTrichoderma\u003c/em\u003e spp. such as inter-twining of morphological traits and phenetic phenomena, especially among \u003cem\u003eTrichoderma\u003c/em\u003e anamorphs [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Molecular methods based on multiple gene sequencing helps in accurate identification of the species. Internal transcribed spacer (ITS) region of ribosomal DNA (rDNA) is one of the most consistent targets to identify a \u003cem\u003eTrichoderma\u003c/em\u003e strain at species level [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]; \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.isth.info\u003c/span\u003e\u003cspan address=\"http://www.isth.info\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) but cannot differentiate all \u003cem\u003eTrichoderma\u003c/em\u003e species as some meticulously related species share sequences of their ITS regions [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. On the other hand, alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2) genes are more variable and can be used to reflect differences within and among the groups of closely related species in \u003cem\u003eTrichoderma\u003c/em\u003e. Therefore, a combination of multigene sequencing based on ITS, EF1-α1 and RPB2 genes are useful for proper identification at species level [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Combinatorial strategy such as morpho-cultural characterization and molecular studies based on DNA barcodes accurately delineates various \u003cem\u003eTrichoderma\u003c/em\u003e species [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Thus, the present study was carried out to characterize the \u003cem\u003eTrichoderma\u003c/em\u003e isolates collected from apple rhizosphare using a combinatorial approach comprised of conventional methods (morpho-cultural characteristics) and molecular methods based on multigene sequencing (ITS, EF1-α1 and RPB2).\u003c/p\u003e"},{"header":"Materials And Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eCollection, isolation, purification and maintenance of fungal isolates\u003c/h2\u003e \u003cp\u003eSoil samples from apple rhizosphere were collected from various apple grown areas \u003cem\u003eviz.\u003c/em\u003e, Nikas, Tiken, Rajpora and Shadimarg in district Pulwama and Shalimar, New Theed, Harwan and Zakura in district Srinagar of Kashmir valley. \u003cem\u003eTrichoderma\u003c/em\u003e isolates were isolated using multiple dilution plate technique [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e] on \u003cem\u003eTrichoderma\u003c/em\u003e specific medium (TSM) [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e] and incubated at 28\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u003csup\u003eo\u003c/sup\u003eC for one week until sporulation was observed. The different isolates were purified on water agar medium using single spore technique [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Twenty four isolates of \u003cem\u003eTrichoderma\u003c/em\u003e species obtained from two districts namely Pulwama and Srinagar were coded as Psh1, Psh2, Psh3, PTi1, PTi2, PTi3, PNi1, PNi2, PNi3, PR1, PR2 and PR3, and SS, SR, SG, TB1, TB2, TB3, NT1, NT2, NT3, ZI, Z2 and Z3, respectively (where P- Pulwama, sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number). The 24 fungal cultures were maintained by sub-culturing on potato dextrose agar (PDA) medium and incubated at 28\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u003csup\u003eo\u003c/sup\u003eC for further studies.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eMorpho-cultural Characterization\u003c/h3\u003e\n\u003cp\u003eMorphological and cultural characteristics of each isolate was observed on PDA medium. A 5-mm mycelial disc from each isolate was punched aseptically from an actively growing region of 7-day old culture and transferred to Petri plates containing PDA medium followed by incubation at 28\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u0026deg;C. After 5-days of incubation, colony characteristics \u003cem\u003eviz\u003c/em\u003e., colony texture, margins, colour and shape were recorded. Conidial morphology was examined by preparing spore suspension from seven-days-old culture of each isolate and observed under microscope (Olympus, Tokyo, Japan) to record shape, colour, septation and size (length and width) for at least 25 conidia per isolate. Phialid shape was also assessed after 02 days and presence or absence of chlamydospores after 10 days of incubation at 28\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u0026ordm;C. Cultural characteristics such as colony diameter was recorded for 03 days and growth rate calculated upto 04 days in all the isolates of \u003cem\u003eTrichoderma\u003c/em\u003e. Mycelial dry weight of different isolates was calculated by drying the filter papers containing mycelium in a Thermotech hot air oven at 60\u0026ordm;C for an hour for 3 consecutive days till a constant weight was attained. Three replications were maintained for each isolate for all the experiments.\u003c/p\u003e \u003cp\u003e \u003cb\u003eMolecular characterization of various\u003c/b\u003e \u003cspan type=\"BoldItalic\" class=\"BoldItalic\" name=\"Emphasis\"\u003eTrichoderma\u003c/span\u003e \u003cb\u003eisolates\u003c/b\u003e\u003c/p\u003e\n\u003ch3\u003eGenomic Dna Extraction\u003c/h3\u003e\n\u003cp\u003eFungal cultures of all the isolates of \u003cem\u003eTrichoderma\u003c/em\u003e spp. were separately cultured on potato dextrose broth (PDB) medium in 150 ml Erlenmayer flasks. After sterilization of PDB medium at 15 lbs psi, flasks were inoculated with 5mm mycelial discs of each isolate and incubated at 28\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u0026deg;C for 7 days. Mycelium was filtered through double layered sterilized filter paper, dried between two layers of filter paper in a laminar air flow cabinet and stored separately at \u0026minus;\u0026thinsp;80\u0026deg;C for further use. The total genomic DNA of each isolate was extracted using CTAB (Cetyl trimethyl ammonium bromide) method [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] with slight modifications and diluted to a final concentration of 25 ng/\u0026micro;l.\u003c/p\u003e\n\u003ch3\u003eQuantification And Quality Check Of Dna\u003c/h3\u003e\n\u003cp\u003eQuantity of DNA was checked by agarose gel electrophoresis. In this, 0.8 g of agarose was dissolved in 100 ml of 0.5X Tris acetate EDTA (TAE) electrophoresis buffer. The mixture was heated till the agarose was dissolved completely i.e. when solution became transparent and clear. It was cooled down to 60\u0026deg;C with constant stirring. Ethidium bromide was added to a final concentration of 0.5 \u0026micro;g/ml of buffer. Then the agarose solution was poured into an already prepared gel mould with combs and was left for 20\u0026ndash;30 minutes for solidification. DNA samples for loading were prepared by adding 2 \u0026micro;l loading dye (6X) (0.25% w/v bromophenol blue and 50% glycerol in sterile water) to 8 \u0026micro;l DNA so that the final concentration of loading dye was 1X. The DNA samples were loaded into wells with the help of micropipette. Along with the DNA samples, marker of known concentration was also loaded. The gel was run for about 1\u0026ndash;2 hours and visualized under UV transilluminator using photo gel documentation system (Alfa Imager EC, Protein Simple, USA) and DNA samples were photographed. The intensity of fluorescence of each sample was compared with that of a standard marker and then DNA concentration of each sample was ascertained. The quantity of DNA samples was also checked by Nano-drop (Eppendorf, Bio-spectrometer). The quality was checked whether DNA formed a single high molecular weight band (good quality) or a smear (degraded/poor quality) in gel electrophoresis. The DNA of all the samples was diluted to 25 ng/\u0026micro;l by adding double distilled sterile water and used for PCR amplification.\u003c/p\u003e\n\u003ch3\u003ePolymerase Chain Reaction ( Pcr) Amplification Using Its, Ef1-α1 And Rpb2 Markers\u003c/h3\u003e\n\u003cp\u003ePolymerase chain reaction (PCR) amplification of ITS, EF1-α1 and RPB2 genes was performed in 0.2 ml PCR tubes in a T-Gradient thermal cycler (Whatman Biometra, T-Gradient, Goettingen, Germany) using 40-50ng of genomic DNA of each isolate in a final volume of 50\u0026micro;l reaction mixture. The ITS region (5.8S) of rDNA was amplified using ITS1 (5\u0026rsquo;TCCGTAGGTGAACCTGCG3\u0026rsquo;) and ITS4 (5\u0026rsquo;TCCTCCGCTTATTTGATATGC3\u0026rsquo;) primers [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2) genes were amplified according to the procedure given by Shoukouhi and Bisset [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. A fragment of 5\u0026rsquo; end of EF1-α1 gene containing three introns was amplified using a primer combination of 1 (5\u0026rsquo;CAAAATGGGTAGGAGGASAAGAC3\u0026rsquo;) and 2 (CAGTACCGGCRGCRATRATSAG3\u0026rsquo;) following touch-down PCR. This amplified product was re-amplification by an internal PCR using primer combination of 3 (5\u0026rsquo;AGGACCAAGACTCACATCAACG3\u0026rsquo;) and 4 (5\u0026rsquo;AGTACCAGTGATCATGTTCTTG\u0026rsquo;3). A fragment of subunit 2 of RNA polymerase B II (RPB2) gene was amplified using primer pair of 5 (5\u0026rsquo;TGGGGWGAYCARAARAAGG\u0026rsquo;3) and 6 (5\u0026rsquo;CATRATGACSGAATCTTCCTGGT\u0026rsquo;3) following a touch-down PCR followed by an internal PCR using a primer pair of 5 (5\u0026rsquo;TGGGGWGAYCARAARAAGG\u0026rsquo;3) and 7 (5\u0026rsquo;GGTTGTGATCRGGRAARGGAATG\u0026rsquo;3).\u003c/p\u003e\n\u003ch3\u003eDna Sequencing And Phylogenetic Analysis\u003c/h3\u003e\n\u003cp\u003eAfter PCR amplification using ITS, EF1-α1 and RPB2 primers in 50 \u0026micro;l reaction mixture, 5 \u0026micro;l of PCR amplified product of different isolates was electrophoresed to ensure successful amplification and remaining 45 \u0026micro;l PCR amplified products of 24 isolates of \u003cem\u003eTrichoderma\u003c/em\u003e spp. were sent for custom sequencing to Genei Labs, Bangalore, India. The sequences for each forward and reverse primer were retrieved from chromatograms received. The sequence alignment was carried out for both forward and reverse sequences in BioEdit version 7.0 [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e] to obtain consensus sequences for each isolate. Similarly, all the 24 sequences each for 3 genes namely ITS, EF1-α1 and RPB2 were obtained and analyzed through BLASTn programme of NCBI (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.ncbi.nlm.nih.gov/BLAST\u003c/span\u003e\u003cspan address=\"http://www.ncbi.nlm.nih.gov/BLAST\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) to compare the present sequences with the available database of National Centre for Biotechnological Information (NCBI) (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.nlm.nih.gov/nuccore\u003c/span\u003e\u003cspan address=\"http://www.nlm.nih.gov/nuccore\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e). The consensus sequences of ITS, EF1-α1 and RPB2 genes for each isolate obtained were compared with five sequences of each of \u003cem\u003eT. harzianum, T. viride, T. koningiopsis, T. hamatum, T. asperellum, T. asperelloide\u003c/em\u003es retrieved from NCBI database using molecular evolutionary genetic analysis (MEGA) software version 10.0 [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. An optimal tree was generated by using Kimura-2-parameter substitution model and different taxa were clustered together in a bootstrap test with 1000 replicates [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. The phylogenetic analysis confirmed the clustering of isolates into different clades. The twenty-four sequences of each gene were submitted to GenBank National Centre for Biotechnological Information (NCBI) for allotment of Accession numbers.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv class=\"Section2\" id=\"Sec10\"\u003e\n \u003ch2\u003eMorpho-cultural characterization\u003c/h2\u003e\n \u003cp\u003e\u003cstrong\u003eColony characteristics of the\u003c/strong\u003e \u003cspan class=\"BoldItalic\" name=\"Emphasis\" type=\"BoldItalic\"\u003eTrichoderma\u003c/span\u003e \u003cstrong\u003eisolates\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eDifferent \u003cem\u003eTrichoderma\u003c/em\u003e isolates cultured on potato dextrose agar (PDA) medium showed significant variations in their colony characteristics \u003cem\u003eviz.\u003c/em\u003e, colony texture, margins, colour and shape (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e; Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). Based on colony texture, \u003cem\u003eTrichoderma\u003c/em\u003e isolates were divided into Group I (cottony), Group II (Fluffy), and Group III (Velvety) accommodating 33.33 per cent isolates (Psh2, Psh3, PTi1, PTi2, PR3, NT2, Z1 and Z2), 41.67 per cent (Psh1, PTi3, PNi1, PNi3, PR1, PR2, SR, SG, TB2 and TB3) and 25.0 per cent isolates (PNi2, SS, TB1, NT1, NT3 and Z3), respectively, (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). The various isolates were grouped into Group I (regular margins) and Group II (irregular margins) based on colony margins (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). Majority of the isolates namely Psh1, Psh2, Psh3, PTi1, PTi2, PNi2, PNi3, PR1, PR2, PR3, SS, SR, SG, TB1, TB3, NT1, NT2, NT3, Z1, Z2 and Z3 (87.50%) were accommodated in Group I, whereas Group II comprised of only three isolates \u003cem\u003eviz.\u003c/em\u003e, PNi1, PTi3 and TB2 (12.50%). Based on colony colour, \u003cem\u003eTrichoderma\u003c/em\u003e isolates were categorized into four groups as Group I (light green with white centre), Group II (dark green with white centre), Group III (Blackish green with white centre) and Group IV (green with dull white centre) accommodating 20.83, 45.83, 16.67 and 16.67 per cent isolates, respectively, (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). Based on colony shape, the isolates were divided into four groups accommodating 4 (16.67%), 4 (16.67%), 6 (25.00%) and 10 (41.66%) isolates in Group I, Group II, Group III and Group IV, respectively (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e).\u0026nbsp;\u003c/p\u003e\u0026nbsp;\n\u003c/div\u003e\n\u003ch3\u003eConidial Characteristics And Shape Of Phialides\u003c/h3\u003e\n\u003cp\u003eDifferent isolates of \u003cem\u003eTrichoderma\u003c/em\u003e species cultured on PDA medium showed significant variations in their spore characteristics such as colour, shape, ornamentation, and shape of phialides. Accordingly, grouping of the isolates such as Group I, II, III and IV was carried out (Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e; Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003ea-b). Group I accommodated a maximum number of isolates (41.66%) followed by Group II and III (20.84% each) whereas, the Group IV was comprised of minimum number of isolates (16.66%).\u003c/p\u003e\n\u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/div\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tab2\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eGroup\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eFeatures\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eIsolates\u003csup\u003e$\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ePercentage\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eGrouping of \u003cem\u003eTrichoderma\u003c/em\u003e isolates based on spore colour, shape, ornamentation and shape of phialides\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ctbody\u003e\u003c/tbody\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eBright green, smooth walled, sub-globose to obvoid conidia having swollen phialide.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePsh1, PTi3, PNi1, PNi3, PR1, PR2, SR, SG, TB2, TB3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e41.66\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYellow green, rough walled, globose to sub-globose conidia with slender phialide\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePNi2, TB1, NT3, Z1, Z3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e20.84\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eIII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePale green, smooth walled, globose to sub-cylindrical conidia on elongated phialides\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePTi1, PR3, NT1, NT2, Z2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e20.84\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eIV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eOlive green, smooth walled, globose conidia on flask shaped phialide\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePsh2, Psh3, PTi1, Z1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e16.66\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\"\u003e\u003csup\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/sup\u003e P- Pulwama, sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number.\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp\u003eConidial size (length x breadth) of \u003cem\u003eTrichoderma\u003c/em\u003e isolates ranged from 2.50-5.00 µm x 2.00-3.80 µm (Table \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e). The maximum mean conidial length of 4.75 µm and breadth of 3.65 µm (4.75 x 3.65 µm size) was observed in isolate SR followed by isolates PR2 (4.65 x 3.55 µm) and PR3 (4.65 x 3.40 µm) (Table \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e). The minimum mean conidial length of 2.50 µm and breadth of 2.25 µm (2.50 x 2.25 µm size) was observed in isolate Z1. The maximum length and breadth ratio of 1.43 µm was observed in isolate PNi2 whereas, the minimum length and breadth ratio of 1.11 µm was observed in isolate Z1.\u003c/p\u003e\n\u003ch3\u003eCultural Characterization\u003c/h3\u003e\n\u003cdiv class=\"Section2\" id=\"Sec13\"\u003e\n \u003ch2\u003eColony diameter, growth rate and mycelial dry weight\u003c/h2\u003e\n \u003cp\u003eSignificant variation was recorded in growth characteristics such as colony diameter, growth rate and mycelial dry weight of different \u003cem\u003eTrichoderma\u003c/em\u003e isolates (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). Colony diameter of different isolates ranged from 62.60 to 89.70 mm and the highest mean colony diameter (89.70 mm) was recorded in isolate PR2 followed by SR (88.00 mm), PTi1 (84.40 mm), whereas, the least colony diameter (62.60 mm) was recorded in isolate Psh2 (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). The average growth rates varied between 17.63–21.31 mm/day with maximum growth rate of 21.31 mm/ day recorded in isolates Psh2, TB3, NT2 and Z1 (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). The lowest growth rate of 17.63 mm/ day was observed in isolate Z1. The average mycelial dry weight of different isolates ranged from 110.36 to 217.67 mg and the highest mycelial dry weight of 217.67 mg was recorded in isolate PR2 followed by SR (197.70 mg), whereas, the lowest mycelial dry weight (110.36 mg) was recorded in isolate PTi3 (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\u0026nbsp;\u003ctable border=\"1\" id=\"Tab4\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eCultural characteristics of different \u003cem\u003eTrichoderma\u003c/em\u003e isolates on potato dextrose agar (PDA) medium\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eIsolate\u003csup\u003e$\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eColony diameter\u003csup\u003e*\u003c/sup\u003e (mm)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eGrowth rate\u003csup\u003e***\u003c/sup\u003e (mm/day)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMycelial dry weight\u003csup\u003e**\u003c/sup\u003e (mg)\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\u003ePsh1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e67.10 ± 0.454\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.31 ± 9.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e116.17 ± 0.635\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePsh2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e62.60 ± 0.487\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.25 ± 10.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e110.40 ± 0.583\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePsh3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e72.80 ± 0.480\u003csup\u003eg\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.21 ± 9.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e134.89 ± 0.605\u003csup\u003ei\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePTi1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e84.40 ± 0.285\u003csup\u003en\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.25 ± 11.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e173.47 ± 0.914\u003csup\u003es\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePTi2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e72.65 ± 0.675\u003csup\u003efg\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.22 ± 8.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e121.51 ± 0.693\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePTi3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e72.85 ± 0.379\u003csup\u003eg\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.27 ± 9.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e110.36 ± 0.694\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePNi1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e81.80 ± 0.647\u003csup\u003el\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.25 ± 13.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e167.20 ± 0.678\u003csup\u003eo\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePNi2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e75.30 ± 0.325\u003csup\u003eh\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.21 ± 10.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e159.45 ± 0.122\u003csup\u003em\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePNi3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e77.55 ± 0.410\u003csup\u003ej\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.25 ± 11.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e168.94 ± 0.901\u003csup\u003ep\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePR1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e82.50 ± 0.176\u003csup\u003em\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.25 ± 14.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e158.39 ± 0.585\u003csup\u003em\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePR2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e89.70 ± 0.209\u003csup\u003ep\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.25 ± 14.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e217.67 ± 0.963\u003csup\u003eu\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePR3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e80.80 ± 0.480\u003csup\u003ek\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.30 ± 13.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e145.52 ± 1.150\u003csup\u003ej\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e75.25 ± 0.395\u003csup\u003eh\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.28 ± 8.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e151.65 ± 0.255\u003csup\u003el\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e88.00 ± 0.480\u003csup\u003eo\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.25 ± 13.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e197.70 ± 0.478\u003csup\u003et\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70.75 ± 0.395\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.27 ± 6.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e120.92 ± 0.478\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTB1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e72.90 ± 0.454\u003csup\u003eg\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.20 ± 9.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e133.56 ± 1.295\u003csup\u003eh\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTB2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e81.10 ± 0.223\u003csup\u003ek\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.22 ± 10.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e148.73 ± 0.650\u003csup\u003ek\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTB3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e82.35 ± 0.285\u003csup\u003elm\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.31 ± 14.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e172.19 ± 0.504\u003csup\u003er\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNT1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e73.15 ± 0.487\u003csup\u003eg\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.22 ± 9.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e123.52 ± 0.343\u003csup\u003ef\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNT2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e76.15 ± 0.487\u003csup\u003ei\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.31 ± 11.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e165.66 ± 0.982\u003csup\u003en\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNT3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e82.45 ± 0.410\u003csup\u003em\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.26 ± 14.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e170.31 ± 0.241\u003csup\u003eq\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eZ1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e71.40 ± 0.602\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.31 ± 9.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e118.44 ± 0.311\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eZ2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e72.15 ± 0.627\u003csup\u003eef\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.63 ± 8.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e124.88 ± 0.357\u003csup\u003eg\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eZ3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e71.85 ± 0.418\u003csup\u003ede\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.30 ± 10.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e112..45 ± 0.380\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCD (0.05)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eIsolate*Time: 0.680\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 \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\"\u003e\u003csup\u003e\u003cstrong\u003e*\u003c/strong\u003e\u003c/sup\u003eMean of 3 replications at 28 ± 1\u003csup\u003e\u003cstrong\u003eo\u003c/strong\u003e\u003c/sup\u003eC of incubation; \u003csup\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/sup\u003e P- Pulwama, sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number; Values superscripted with same alphabet are not significantly different\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003eAll the morphological and cultural characteristics of different isolate of the \u003cem\u003eTrichoderma\u003c/em\u003e species were compared with the available literature [\u003cspan class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e28\u003c/span\u003e] and identified up to species level. Therefore, based on morpho-cultural characterization, 24 isolates of \u003cem\u003eTrichoderma\u003c/em\u003e species were identified and categorized into 4 groups representing 4 species of \u003cem\u003eTrichoderma\u003c/em\u003e (Table \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e).\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003ctable border=\"1\" id=\"Tab5\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eIsolates\u003csup\u003e$\u003c/sup\u003e (percentage)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eIdentified species\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eIdentification of \u003cem\u003eTrichoderma\u003c/em\u003e isolates upto species level based on morpho-cultural characterization\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePsh2, Psh3, PTi1, Z1 (16.66%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. harzianum\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePNi2, SS, TB1, NT1, NT3 Z3 (25.00%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. viride\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePTi1, PR3, NT2, Z2 (16.66)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. koningiopsis\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePsh1, PTi3, PNi1, PNi3, PR1, PR2, SR, SG, TB2, TB3 (41.66%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. hamatum\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\"\u003e\u003csup\u003e\u003cstrong\u003e*\u003c/strong\u003e\u003c/sup\u003e\u003cem\u003eT\u003c/em\u003e- \u003cem\u003eTrichoderma\u003c/em\u003e; \u003csup\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/sup\u003e P- Pulwama, Sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eMolecular characterization of\u003c/strong\u003e \u003cspan class=\"BoldItalic\" name=\"Emphasis\" type=\"BoldItalic\"\u003eTrichoderma\u003c/span\u003e \u003cstrong\u003especies\u003c/strong\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eDna Extraction, Quantification And Quality Check\u003c/h3\u003e\n\u003cp\u003eThe DNA of 24 \u003cem\u003eTrichoderma\u003c/em\u003e isolates was extracted by CTAB method [\u003cspan class=\"CitationRef\"\u003e19\u003c/span\u003e] (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ea) and quantified using Nano-drop and diluted to 40-50ng/µl. Good quality DNA was stored\u003c/p\u003e\n\u003cp\u003ePhylogenetic Analysis Of Multigene Sequence Data\u003c/p\u003e\n\u003cp\u003eThe identification based on morpho-cultural characterization of various \u003cem\u003eTrichoderma\u003c/em\u003e isolates was confirmed using polymerase chain reaction (PCR) based molecular markers \u003cem\u003eviz.\u003c/em\u003e, internal transcribed spacer (ITS), alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2). The amplification of ITS region with primers ITS1 and ITS4 yielded approximately 600 bp product (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003eb). The EF-α1 and RPB2 sequences were also analyzed to confirm the authenticity for the identification of \u003cem\u003eTrichoderma\u003c/em\u003e species based ITS sequencing. The amplification of the EF1-α1 region by touch-down PCR using primer combination 1 and 2 showed the amplicon size of approximately 920 bp (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ec). The internal PCR then implemented using primers 3 and 4 amplified a band of about 870 bp using the first PCR products as template (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ed). Similarly, the touch-down PCR of RPB2 sequences yielded bands of approximately 1240 bp, and the internal PCR showed an amplicon size of about 940 bp (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ee). From all the 24 isolates of \u003cem\u003eTrichoderma\u003c/em\u003e species, a single band was successfully amplified for each gene (ITS, EF-α1 and RPB2) and then sequenced (Fig. a-c). The sequences were retrieved from the chromatograms for forward and reverse primers separately and consensus sequences obtained. The phylogenetic analysis of 24 based on ITS, EF1-α1 and RPB2 genes along with the five sequences of \u003cem\u003eTrichoderma\u003c/em\u003e species (\u003cem\u003eT. harzianum, T. viride, T.koningiopsis, T. asperellum, T. asperelloides\u003c/em\u003e and \u003cem\u003eT. hamatum\u003c/em\u003e) retrieved from NCBI database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ewww.nlm.nih.gov/nuccore\u003c/span\u003e\u003c/span\u003e) for the comparison was performed using molecular evolutionary genetic analysis (MEGA) software version 10.0. An optimal tree was generated using Kimura-2-parameter substitution model and different taxa were clustered together in a bootstrap test with 1000 replicates and dendrogram generated. Based on a concreated data set of three genes namely ITS, EF1-1, and RPB2, 24 isolates of \u003cem\u003eTrichoderma\u003c/em\u003e species were broadly grouped into three clades (A, B and C), then further sub-divided into sub-clades. The clade B and C comprised of \u003cem\u003eTrichoderma\u003c/em\u003e isolates based on EF1-α1 and RPB2 sequences, respectively. Based on clustering of 24 sequences of EF1-α1 and RPB2 genes showed similar results and grouped 24 isolates into six sub-clades identified as \u003cem\u003eT. koningiopsis\u003c/em\u003e (Clade I), \u003cem\u003eT. viride\u003c/em\u003e (Clade II), \u003cem\u003eT. asperellum\u003c/em\u003e (Clade III), \u003cem\u003eT. asperelloides\u003c/em\u003e (Clade IV), \u003cem\u003eT. hamatum\u003c/em\u003e (Clade V) and \u003cem\u003eT. harzianum\u003c/em\u003e (Clade VI), respectively, (Table \u003cspan class=\"InternalRef\"\u003e7\u003c/span\u003e, Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). However, results obtained from the internal transcribed spacer (ITS) region (Clade 3), \u003cem\u003eTrichoderma\u003c/em\u003e isolates were grouped into five sub-clades identified as \u003cem\u003eTrichoderma\u003c/em\u003e. species (Clade I), \u003cem\u003eT. harzianum\u003c/em\u003e (Clade II), \u003cem\u003eT. viride\u003c/em\u003e (Clade III), \u003cem\u003eT. asperelloides\u003c/em\u003e (Clade IV) and \u003cem\u003eT. Koningiopsis\u003c/em\u003e (Clade IV) (Table \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e, Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e), respectively, in which few isolates showed cross identity and grouped with other species when compared to EF1-α1 and RPB2 results.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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Jqy0HZjBYFB6WH0VeZ6rcx5PhSzL1LmBp8p4PG51biqzyvn5Ofi+X7sXk+d5lXtr0bIIw7CgxNm2DWmaFtzP53MIw/BgHxCoUB7y0GmGYU4TVtpOFNPGjsdMnueFjTKZjw2OdH3//r3WbRMFWVfcqELW7Xbh8vJSXePB4af20cMwDMNK2wHB6SHLsqDf7wPAm82NyZ4HnwMUTxbQ7XnQXsayLMiyzBgOvdafUXsgfB8AjLZFTaG7XAshlE2YbguH15hW+ly3G9PfpemmlL2v5zW+p9up0ev//d//NdpQITTv9Oc0n/V40LxtMm1H/aLv6PfK/NTTrT+naTY9p89wik9PA16X2fqFYQiO42x9tAlH2SaTScEuUFf8er0eAJRP11N5yvNcXaN/VeVJ8163z9P9NYVH/dPzlZYdT68yzAdkL8fSM6X4vi8BQLquq+4BgAQA6ThO4TpNUymEkGmaqnsUeg/9FUIUrjEsvNafRVFUGScppfQ8TwKA9DxPPXddVwKA9H1/JY1CCBlFUSFN+nv4ruu60nVdKYQouDf5T98VQqy48TyvEB79H90KIVR68T2MK4aP10KIlbRTt1EUGeOKbvAdx3FU3mJZYtxM/uk4jqP8StO08L/+Lsa3LC5UtrCsaNk7jqPSrpcJ+o3gNfqv5z+C8aTypZeL6T0pi7KKsq1D42GqJzQOVIYpmFaaP5ivVeWpywemB8uD+ovxp3kspVxJP00PlndV3BmGeb/wSNsRM5vNVu6VjUzgCAAacuOhxQ8PDwV3juPA4+Ojss2iuK5bal8k/7HDaUOT0RTP82A8HsPj4yM8Pj6CbdsgpWx01qDv+8Ywvn79CkIINXKBfmVZBkmSqJEezAvTGajL5VLZHValw3EclXdXV1cAAMp+D8sRR3c6nQ4kSQJ5nsP9/T0AAFxfXwMANDprr9PpQBiGMBqNoNvtGqcP0R8ME+OCaSmbcvz58ycAAFxcXKj0Y9pRlnCq8evXrwAAK6sxXdeF6XQK0+nUWH64+GZXTKfTFVktGxluMlqF51XKfxZGVJUn+od5gzKzWCyMfmdZBkKIwqij4zgghFjJ1zrbPoZh3j+stL0TcFVjkiRgWRYMh0MAeFvlSNl0awpUGAC2u/oNOzkTlmVBkiQAsJqeKsbjMfi+X5iSBWiuNGzLbhAVl+FwWEjL79+/W+Xh4+MjuK4LYRiuTGPrfP78GQD+rFhEcHoPabKKGfMew0WbMJQ95FAG9nmeF6Y7pZSFRQhtt/r49OlT4bqqPDHtmFeYn6jg6VTJop6vDMMwrLS9E3BkDbdKwN+2Vjminc5sNiusztslaL8jhGi8pYgOjqK5rguTyQTiOC4oMruwC8LOFkekUFH2fb9QNt1ud6WTb8rj46MaTTo/P69NB1VALcuCq6sr48gpxufp6WnlGSrWrusW0mEaoawC838X6IsLut3u1rdlqSrP6XQKvu8rxTZJEoiiqNEIqg7WaYZhGISVthMHRxfOzs4AAArTKlmWbWVbgyzL1Ohat9vdWNHJsqx21COO48IUZpNpUh1c3ABQNETvdrtKiUEj+zzPN9q7iyqAqPD8+PEDAP5MNVKFYjQaQZ7nagQG9xGrGjVDcDEJAJQqJPhcn37FNF5eXhrLEeOcJIkqoyAIIMsy+Pbtm3qG/sdxvPYIFk7xtSnTJuhToTidSRUnHOHCslmHqvLM8xzu7u4KylyVwjYYDNR0KILTpW0UPYZh3jl7sZxjjFDDcSCG+PSefo2YDLZ142nd2J2GUxYHPTx0S+9Rw2jf9wvG4UCM2nXQ4BrjVfWenhYaJl0sURbvNE2l7/srxvEU6h7z0RQuQhcJYDwwLno+6kbyenzpIgN9kUiVP1K+GaZTd+gXjQN9XpYGNKDXw9LTWSUvpgUZevpMYLlgmLq/Jn9Mz2nacKFIWdmawi8DZbXs/bLyNC2CoDJf5m/ZfT1fdfmoy2eGYd4XlpQfaAt2hnnHZFmm9sI7hWptWRb4vr/29Oqm4BY0uwibbm+j03aalGEYBuHpUYZhDkKapsrOcJ84jqNWK2+b0Wi0YuuGCvQubfkYhvkY8Egbw7wTdFsuIcRJHJWEi032Edd+vw9XV1c7G/Gio50U3DaEYRhmE3aitK2zWz7DMAzDMMwps6/xr3/tymMewGM+OpZlcT1gGKYV3H6cDvscqGKbNoZhGIZhmBOAlTaGYRiGYZgTgJU2hmEYhmGYE4CVNoZhmHfMJid9MAxzXOxsIQLDMAxzOPTtR7Z1DjHDMIeDR9oYhmHeIbe3tyCEAM/zoNfr7X0TY4Zhtg8rbQdmNBqBZVlgWRZ0Oh11bx/EcQyWZW3lUHmGOXWCIFB1kf7yPG/tJ/XnEDw8PADA28H0fITWxyLPc6M844/b/dOElbYDMhqNIAxDddTNfD4Hy7JgPp/vJfzX11cAAHh5edlLeAxzzIzH48K+WJ7ngZRyo5Ma0jRt/e6mnerj4yNMJhMIw3Ajf5jTxLZtkFKC53kAAOC6LkgpQQgBAACTyQT6/f4ho9iILMsgy7JDR+NoYKXtgIRhqCoUwFsl26SRXxfspNjWhWGOi22NtqMSuumIIfN+sG0bfN8HAIAkSY5eLq6urg4dhaOClbYDE4Zh4Yu62+3C5eXlAWPEMMwhCYJgq6NjnudBFEXw8+fPrfnJMPug3++rkUHmDVbaDgiOsk0mE7AsSxkK48hXv99X9gcm2zdKp9NRz/WhZOoP2tagPRv6jWRZZgxHt484hWF1htkWur0bNeqndUl/ZkJ3T+3dgiCAyWQCAH/aBRwJoXGgdVb3Dz8CaR19fX2Fr1+/bp4RzMmT57mSMc/z1PQ/lSMqO7T/yLJMXaOc6X2DPkpssg+l/RkNl/Y5/X4fkiQBAIDz83P1rKr+ABT7sLI+i6bp5BboyB2wI2/fJZ7nSQAo/Ch4z/M8KaWUURRJAJCu6664kVJK3/clAEghhJRSStd11TU+832/ELbuN147jqPCcV1X/S+EKITPmOF6cJrodU4IIQFARlEkpXyrY/i/XmewjuHzNE1X6jW91usg1i1aT6m7KIpUfPA5/T+KIvU/DdtxnN1kFrMzttV+mPoYKqNSypW+gcokXuMP5cr3fSWL2B84jqP6G3yGsofxQNAt3sNrjBe+j2HqcaF+Ylz1+mbqL2kc8Tn1vw37bOt5pO3ATKfTlUOBTSvNfvz4AQAAZ2dnAPDHFgG/ElzXBQCAL1++AMDbqrEsyyBJEnAcB2zbVjZs4/HYGJfZbAYAAL1eDwDeRu8wHNu2IUkS6Pf7YNs2PD4+bpp0hjkJcCRiOBxCHMcwHo/VSky9zmD9u7m5KfVP/rPwqCosHZwuPTs7U27u7u4AAMBxHJhMJhAEAQwGA1W/u92uMkRfLpfNE8y8S3AhAv7oamKUpW/fvgHAm0yZpuijKFJyNR6P1ZT7xcUFAAAsl0u1eAdXLqO5D4706iNbURQZ41tWF6rqz99//63iDwDw+fNnAAA1YpdlGQghVJ+Iz+/v743+HSOstB2IPM8LtmxSysIihLIhWyrIv3//VitAkyQBy7JgOBwCwNuKUBTgpmDDPhwOwbIsJei/f/+G6XQKnuepcE5uSJlhNgA7CawbSJky1MQOp9PpqI6xyhicPnMcR4WPYSyXS6W4mRYc8EIjpg6UpfPzc7AsS13rsoRKDlIlt7grQRiGYFmWmpLFPmtTTPUH44fxxz4QBzXwWggBlmWpzaePfTEGhZW2A4JCjHS73dKvDhOfPn1SX/aO4xS+oqbTaUGAmwgl2gz4vl/wq9vtAsCfUUHHcWA4HPIybOZDQT+sTHalFPzSN4H2PLPZrLB6vAz6oZamaaFuIsvlUnVUVWEzjAmUmSiKCvJVt90NPn96elp5hiNr+ghf2UxPU6rqT7fbVfUABzFc11UzQ1TppHE6pZkjVtoOjD4VitMt+kaYz8/PAACF6VDbttV0qRBCPcuyDIIggG63qyojGofmeV66nQAOcVNlcjQaqXfQf4wjw3wUsJ52u91CR3F7ewsAf0YP8C/e18myTI0OdLvd2o8prKs4UkD9RcPqTqejTBhwKweGWQecwqTT+k0Wm6HZTpIkqn8IggCyLFNTrUmSqA/8OI5bz9KMRqNG9Wc0GhU+bqhChgMQGE+A6j7xKNmFodyOvH1XCCGU8SQQI0/dYBjvo3GyyQ012ATN6LLMfzTAxB81sjbd9zyvYNBKjaQZM1wPTgtd9vGHdVW/h5TVJSmlsV7Se6Y6RY2pqV+0DaBx8DyvYNS9qVE1cxxs2n7o/UKdfOgyju50udPR5Z/2DVSWUd5NYZXJNq2TeK+q/ujhldXZqj63Dfts661/AtwqlmWVGgoy64Ff+GmaFr4SmOOH6wHDMG3h9qMddKsQCp0m3Tb7LKt/7SUUhmEYhmGYHRLHsVrBSjmp6c8a2KbtiKE2Befn57xik2EYhmFKQFtw0+a772UVNU+PMsyO4HrAMExbuP04HfZZVjzSxjAMwzAMcwKw0sYwDMMwDHMC7GwhgukoJob5aHA9YBimLdx+MDo7U9p4Lp756LBNCsMwbeH243TYp3LN06MMwzAMwzAnACttDMMwDMMwJwArbQzDMAzDMCcAK20MwzAMwzAnACttDMMwDMMwJwArbQzDMAzDMCcAK217II7jlbPQTGejHRNBEBxlvBimLVX1MM9z5a6uruLh03meg2VZhTOBsd5YlgWdTqdx3LIsKw0vyzIAeDv0uqrN6HQ6K2Gb4kjD4/OMmU3R6xWtSyb6/f5KXVrn+YdH7oAdeXuyeJ4noyiSUkqZpqkEACmEkFJKKYSQnucdMnrMjuB6cJw4jlOoc47jSACQaZpKIYR0HEc9832/UI5pmkrXdY3+RlEkfd8vDacJrusW/HddVwKAaj9onEzxiKKo4NaE53kSAFb8ZY6LU2g/sD9L07RwXYbnecqtEGJFBuueHyv7LCseadsTg8EAAACen5/BcRywbVs96/V6h4oWw3x4ZrMZAADc398DAMDt7W2p2263CxcXF8ZnZ2dnMB6P1fX19XXtqEMd0+m0EEfE8zxIkgSCIGjlpxBio3gxDMCf/qzb7QIAqL9lcv/XX38pN7Ztg+u68Pr62vg5s8MTEZg/YMMLAHB3dwfX19fq2rbtggLHMMx+oR1Nk/pIFTOK/t7Lywvc3NxsFDfbtsFxHFgul4X7P378AACAyWQC3759U2lgmH3y5csXEEKouoOU1SH9/nK5hMfHx8bPGbZp2yt5noMQAr59+7b2e9S+Bb+u0S6FPtftaHR7A4puR4O2MwBv9jO6X9Smpt/vG/3JsoztZJiTAkcF1v14Qrmn9QYJggB6vd5WlCkhhNE+bjqdguM4cH5+3iqODLMpg8EAHMcBx3EA4M0erekobr/fh/l83vr5R4WVtj3y8PAAALB2Qz4ajUAIAVJKuLq6AoC3xhgba8dxQEoJQggQQijjzTiOYbFYgJQSpJTgeZ5q/PF99NfzPOX3aDSCMAxX4tDr9ZRfy+VShXN1daXuV3UgDHOMoBzj6FUTaP3T6XQ6MJlMYDgcbmxITeuYCezU6EdUkzgyzLbAUWDLsuDm5qb24wcHGZIkAcdxVj7y655/eHZhKLcjb08e13VbLTrQjZMRfVGDlEXDaTRi1n9CCOm6bsFoWsfzvIJBtskffN7G4PojwPXgOMGFB/RXZuysL0Sg6EbYOrS+NcVUZ/V66vt+IcwoipQ7fSFCWRxPycj7o3Iq7QcuwMEFLk1lCmWT9jPrPD8m9llWPNK2R5IkabXo4ObmBpIkabSk+suXL+r/5XIJaZqqUTD82ba9YiNTBYan+4N+3N7eQhiGR7t9CcPoeJ5XkGVcKLRN2hr7u65biFuZDR0yGAzA8zyYTCawWCxahckwbciyDG5ubmA8HsN0OoUoimA4HDaaju92uxBFUevnHxVW2vYEDvG26Ry63a6a/gQAZT9g4vX1VT3vdDrw/PxsdNfpdODl5aVR+DjcXVYRB4MBSCkhTZIEfbAAACAASURBVFPlN8N8dLDe7GOhEdq36WYNDLNL7u/vC+39YDAA13VL+x2dz58/V/YXdc8/Iqy07YmbmxvwPM/4rM5QuN/vq9U5pq93tJUDeFtNhlsWXF1dwWQyKfgdBAHkeQ5XV1cQhuHKxqBlo3ie563Yx6C9DVaqbrerFDeG+eiMRiPwfX9v4bHRNrNver0eJElS6GOSJGm82O7q6qpyhXXd8w/JLuZcd+TtSYI2MfSn27hAhV0M+kHtcPSNDOlmmSb7Fyixj0FbGP0Z9Y/aE+j2NhgPPYx1bHjeM1wPjgtd3utkVXdL6w7WPVoX9Pqh2/ZgPTHZf+r+lbUJ9Hnd5rqmONJ4VPnDHJ5TaT90eaJyi8/wXpO+8BT7kn2WlfVPgFvFsizYgbeMBl0Bynu9HR9cDxgTQRDU2qkxDLcfp8M+y4qnRxmGYfYAnku67j6NDMMwCI+0nShxHMNwOFTXaZryruhHBtcDhmHawu3H6bDPsmKljWF2BNcDhmHawu3H6cDTowzDMAzDMEwBVtoYhmEYhmFOgH/tymPeGZ9huB4wDNMebj8YnZ0pbTwXz3x02CaFYZi2cPtxOuxTuebpUYZhGIZhmBOAlTaGYRiGYZgTgJU2hmEYhmGYE4CVNoZhGIZhmBOAlTaGYRiGYZgTgJU2hmEYhmGYE4CVtpbg4c9lv06nU+tHv98Hy7Kg3+/vIcYMc3jK6ksQBI3e7/f7MBqNGocRx3HjuHU6HWPc6sJDRqNRbV1uGzeA+jZH96/f7zdqhyhN8qAuHpZlQZ7nAPCWJ3ocaBhNy505LuI4BsuyIMuyUjd5nq9Vzib3WZZt1F68S+QO2JG3R4XrujJNUymllFEUFdKcpqn0fb+RP77vyyiKdhJHE57nfYjyOQY4n834vl/IG7z2PK/yPdd1a905jrPi7zr1C+uyEKJw7bpu5XtYr6rc0bjp4TTB8zzV5iBpmkoAKLQ3QggJABIACmE2pS4PPM8r5KkePm0bdVzXXfG3aVv50TjW9gPrIQCUljPWh6Z1r8y9STaq5OtQ7LOsWGlrCe04PM8rNNZpmjYWKsdx1mq4mdPhI9SDNuhKm5Rv9aBJfrmuW6q0pWm6Upccx6lVBikmZQo7qbp6qrcDOvr7VZ1emf86VYqi53lbUdqkLOaB3pHqildZ+yeEWLnvum6tQvxROeb2Az8WTOWMCljTfq3Kvcn/NjK9a/ZZVjw92pLpdKr+D8MQrq6u1HW324Vut1vrBw4t27a9/QgyzAlxeXkJAKCm1drQ7XZX6tK604MmLi4uAADg9+/fG/lD45bnObiu26idQGibAwBqKvbx8XGjeDWB5sF4PK50W9b+2ba9cp/bvvdFlmUQhiGkadqobOvc6/ISx7FqKz4qrLRtCCpeZ2dna7/7/PwM19fXAPBm+2Gyn0HbAXyG9iK6HQvO81P39D36jm6HQG1UMAz0k4aBNnhoT4B+UjueLMvUNdquxHGs3GInirYKbM/HAPxR1rDhpvXBZFNG5bzONqzX620Ut5eXFwAA+PTpEwD8qS/9fh+CIFhRNKkdTpntzeXl5UbKVhAEkCQJRFHU2o910POgKf1+v7aOo0LInD739/fgOA7c3983sj9b1/1sNoMfP37sIuonAyttG4JC1+aL8enpCb59+waj0Qh6vR5EUVToAEajEQyHQ5Bv09jq69y2bZBSguu6cHZ2BpZlgeu68OXLF3h9fVXupZSQpilMp1P1DkDx66Xf78Pd3Z1yP5/PwfM8AHg7P9ZxHDg7O4NOpwM3Nzfg+z68vLxAnudweXkJvu8X0n5/f69GHZfLJTiOA58/f4bLy0sQQgDAW6d2e3sLaZqun+HMuyOOY0iSRMkdflRIKaHX60EYhgX3YRjCYrEAKSV4ngez2czoL9alwWDQOm44EoD1Ls9zeHp6Aikl3NzcwGQyKbhPkgRub29BSgm+78Pd3d1KWi3LAiFEwWB/HfI8h8lkAp7nbZS2puh50JR+vw9JklS6mc/ntSN3zOkwn8+h0+lAr9dTdWAymZQuWFjX/XK5XGt0+l2yiznXHXl7lDiO08qQVgghHceRURQp40tq4Ov7/srcved5KiwhhNEehNoF6O9HUVRpiyflm40JxiFNU2VDhP7qRqDUvZSyYJuQpmnBpiiKIun7vgrT9/13bYT8kerBOqBNG/3pNqFQYi+j27SZ6gl1u669KNpz0R/1H438TQbWen3SFyhRmi6+MOE4TiO7nk1t2sryQAcqFhNU2ayZFlYwfzjm9qOsjprqRpVd6Tru9f7rmNhnWfFI2wbkeQ5CCPj27dva7/769QsuLy9hsVior+UwDNU062QyWRlBCMNQhfXw8ADL5XLFzgW/hDudDszn88KzxWKhporyPIcwDAvv53kOSZKoODw/P8NyuYRer6dGGeiXDrrH+AdBUPgaf35+BiGEGs6ezWZwd3enpoXu7u7g+/fva+cd8z6QZESYThV2u11wXRfOz8/X2nKDEgQB3NzctLaZEkKouC2XS3Xftm3wPA+Gw+FG0/vj8ViNLK7DaDQCIUTp6OI2KcuDbRDHMfR6PR41+QC02XbGBE+NvsFK2wY8PDyA4zitGp7ZbAbz+VwpTXEcK4UnjuMVf0ejUeHe09MTXF9fGzulfr8P8/l85VkYhkrBenh4WJnuGI1GhXt3d3dwfX1deIcagT48PBSmtCaTScE+5e7uDqIogm63qxQ87Gx4EQZTxePjo5r+DMNwrX2Z0MZtVwrBdDpVUzlJkrRSKgEAvn79Cl+/fm3sHqcpfd83GmhX7Zl1TGRZVvhYZd4PruvCYrFYuV8m5+u4T5KElXxgpW0jJpOJWkhAQaP7KnuVJEkKX6+LxQKurq6MHUC/34cwDOHy8lI1zEmSGG1B+v1+YYQB/UOl0GQ4DfD2dZMkCVxcXECWZcoNDePp6Ql+/Pih/Ly7u4MfP35Anudwe3sLruvC9+/f1cIHIYRqmH/9+gWe56lKh4sw2nZ4zPslyzIlF9PpdK0RqTiOYbFYFOQ2CIKtKTR5nqvRtfF4DL7vt/ZnMpmsZc91fn4Orusa37m5uVl7kcAhQHtWOsIfx/HaGw0zx8l0OoUwDFV9y7KstK9ax30cx61Gpt8lu5hz3ZG3RwPuK0N/FLR7KbOniaJoxc4D96nCd6jfaFsG/9iOlM3t63Gi/qENDbWJ091hHND2TA9DTyu6R3sX6pf+vskWDgw2Ee+J914P2qDLp8kWKk3TQh3DuoLyhvf0emiylaPvU5k3Qf2HEnszIUQhXJR9uuEo2rlSv/7v//6v1kZMr7MU6r/pp/unP8d6to08QEz5XRZntH1tEnfmjWNtP/R6p8sI2ruZZAJlhrb7Ve6RY9xQl7LPsrL+CXCrWJYFO/CWYU4KrgfHSRzHcHZ2dpRT8zjisOtpoGPOA+YNbj9Oh32WFU+PMgzzIUCzhcVicZTKimVZcHt7u1OF7djzgGGYanikjWF2BNcDhmHawu3H6cAjbQzDMAzDMEwBVtoYhmEYhmFOAFbaGIZhGIZhToB/7cpjPHScYT4yXA8YhmkLtx+Mzs6UNjagZD46bEjMMExbuP04HfapXPP0KMMwDMMwzAnAShvDMAzDMMwJwEobwzAMwzDMCcBKG8MwDMMwzAnAShvDMAzDMMwJwEobwzAMwzDMCcBK24HodDpgWVbpLwiCQ0dREccxWJYFnU7n0FFhtgAeGm76xXEMAABBEBTu53le8KPf7xeeU3/RD4A/skPdbRLXPM9hNBoV3GRZthKG7qaKqnpoWRaMRqOV9OrPy+h0OtDv9xvHRU8LzUuA1XLR3TeJ32g0alUWethlsqOXWZZljfzX39PbQF2W4jiubUdp3lO3x9S+nhooP3r+UvT6orcfOnX+1T3/UMgdsCNv3w1CCOk4jrp2XVd6nqeuPc+TQoiNwoiiSAKATNO01q3ruoX4mPB9X/q+v1GcPhrHXg88zyuUu+d5EgAK5YxyZJKPNE0rZSJN04JcO46zdp7o8dH9EEJIAJBRFBXeqZNn+j516/t+wf80TaXruup/vU7hPXSj3zc9axovfN/UFqCf68RfSqn8bCObnuettCeYTr2MyuLTFIyjqf3S04OgrGJ+0bxxXVfdN5XjMXKM7Yfv+6quoYyaZJ/WxzpoWfi+v+Jf3fNjYJ9lxUrbAYiiqNBg6J3OMSpHrusefSN3bBx7PdCVNilXFZ4oipQyRxUwKeuVNr3hXrezxE5Yhzbavu8bFbSmDbsQYqXu6WFiGsvij++UKRhtlTbM96r0rRP/KjdN0MtfSrnSaesKJnbs636E4odkk/JHdKWNPtfDdxxnLcXiEBxj+6HnmUmWTHJSRhsl7RgV7n2WFU+PHoDBYADdbhcAQE0pDAYD9Xw8Hh8kXmXkeQ7L5VLFmXm/uK4LQojCvV6vB77vQxiGK9N1VVCZBgD49OnTWnH5/PkzAMDKVNbj46P6/8uXLyCEWIkXdVOFbdsr8dSpq49fvnxpFFYb0jQFIUTpFOw24t+U6XRauMapKprXtm0X3Pz+/Rs8z1u534T5fF4Ix0Rd2vC5Kfy6fGNW0fNMl/0syyAMw1qzAeTp6QkuLi4K91zXhefn50bPPyKstB2YxWIBruuu9Y7JVqXf76trtN3Azk63OcFn1B5GtzlAu4VOpwO/fv2Cy8vLwnNqs8D2Ie+H5XIJjuOs3B+Px+C6LgyHw1L7FJSnOhumpsp/t9sF13VhMpmU2sUMBgNwHAeGw+HBzmkcDofgOM5OPmq63W4rhXnXBEEASZJAFEWlbvI8h9vb2xVlrym2bUMURZAkyVbbmE6nA8vlcmv+fXRo//Xp0yeQbzN4SnmrsmdLksT40fPy8tLo+UeElbYDE4bhypdEHVJK8DxPfYkCFL92l8sluK4L3759U+5d14WzszOwLAtc14UvX75At9sFIQQ4jlP4EsWKJqWE+XwOw+EQfvz4UXhu2zZIKSGKIri7u2ubfOaICIIAhBBwfX1tfI4ypivwAG8K2/n5eaX/Dw8PlZ18WZi+7wMAgOM4RsVsuVyC53kAAHtZMHN+fl4wsvY8b6dKQBOFeZ/keQ6TyQQ8zysdrQqCABzHgSRJNlKmB4MBeJ4Hk8mk8YKGMvCjQgix1gIJppzZbFZQymk/gv3OOouCmHpYaTsg2Gh8//597Xd7vR4IIVQjnmWZUqz06Ux0MxqNQEoJj4+PqrF9eHgodNL9fh88z1MdtG3bhVEEfI4VdbFYGDtx5jTADsyyLNURV005lU3XdbtdSNO09L08z+Hp6anVlNR4PFYdAAAYv96n0ylIKcFxHJWmXZGmqRpNoCMKu1QCqhTmfXN5eQmO41SOoGGZoTK9yUjZdDoFx3FqPwrq6Ha76kMTAOD29nYj/z46cRzDxcVF5dT3dDqFJEn2GKv3DyttB+T5+XlllKspZ2dnhevb21ulWOnTmQ8PD7BcLo2N7NPTkxqRi+MYkiQpuIvjWPmVZRkkSQJ//fUXAPzpPNtOfzCHx3GcggJSV5Z0uu7+/r5xOKPRqLGdGZJlWWFK8PHxUSmGDw8PAPAmn1RZWi6XqlPe13Qi2gDuWgmos2/bB6PRCIQQMJvNGrmfTqdrm3+YaGLf1pTBYKBGb5l25HkOi8Wi1qYQP/rLcF0XXl9fC/eWyyV8/fq10fOPCCttB+Tu7q50KqoOVPR+//4N/X6/0CHOZrPCdObT0xNcX1+vKIf6iNxisVBfxvh8OBxCr9cDAFDGnzhNJYRYuyNmTh+crgvDsJH7fr/fWrFfLBaFa7RzozYtulEy2rnpjf2uaPPR1QaqMB8CNDL3fX/Ffk9Xnim2bW+8WIPat21jKvrLly97K7f3yOXlZaM6ned5pbnCxcUFPD09Fe4JIdTsU93zjwgrbQcijuNS4RuNRo2/ps/Pz+Hm5kZd53muhqNxpCFJEuMX0cPDA1xeXhbCwmmnPM/VNMjnz58hjmP48uVLYWTGtm22DfmgNFXW+/0+3NzcFDrIdUZLwjAsTK3haC/9KJlMJisb+u6zYcdO6erqaudhocJ8CM7Pz8F1XWNbcnNzY1wdnGUZzOfzrazURPu2bTAcDtWMAbMelmUVFGfThtdInXI3Ho8hSRLVh4xGo8Jq47rnH5Jd7COyI2/fDUA2uATD/lee5zXa68ZxnJX9h/TNPnGfLRO4DxTuvUM3BMW9oUDbh8l13Y026PxIHGv+0I1b8Wfaswr3yaLyQKH7tFHZgX/2UaLvm8LCPZ7K5DNNUxWG7jcSRVFhTzP80XqBMlu3L5ceT7oHmC73+k/fN8qUx/rmrmUbAFelhcZnnfgjepnomxJXhVeVfkwL7pWGPz2eNF9MVJV1Vdr1dFGZMpXFKXBs8TTloy4zupzosmTa05D6ayrbuufHwD7LyvonwK1iWRbswFuGOSm4HjQjCIK97E24r3CacmzxAfizOGrXezLGcQxnZ2cfe8SkBm4/Tod9lhVPjzIMcxDwLEtcCLMrcE/BY1GQcOuJY8OyrMKCpl2A54suFgtW2BimBTzSxjA7gusBwzBt4fbjdOCRNoZhGIZhGKYAK20MwzAMwzAnACttDMMwDMMwJ8C/duXxMRraMsy+4XrAMExbuP1gdHamtLEBJfPRYUNihmHawu3H6bBP5ZqnRxmGYRiGYU4AVtoYhmEYhmFOAFbaGIZhGIZhTgBW2hiGYRiGYU4AVtoYhmEYhmFOAFbaGIZhGIZhTgBW2krodDpgWVbpLwiCQ0dxa+DB3XTZ8i7SORqNwLIsGI1GW/OT2T1Ybvqv0+k0ej+O40ZL4tFdlmWN40ZlV//Vxb9KvqmbOI4bxwfBQ+oxjCzLlD9V7Uqe52uFU9dO9fv9yvT3+/2tpr8sPljnsyyr9Fsvz3//+98rfqF8oLzo5c3sFipPdfJT9pyil2NVHVi3fXiXyB2wI2/3hhBCOo6jrl3XlZ7nqWvP86QQ4hBR2xlRFBXSKKWUjuOslU4AWPFDx3VdmaZpqzieGqdeDyhCCAkAMoqiwnVdGqMoauTOdV3lro18AID0fb9wDQBKfvX4S/lWj/X3pJSFuu/7/sp7dXieV+sH3tPTQOPcBOoH5jVNM8bDlH68R+Mq5ebp1+OB167rroRdll7qVsq3PKX30jQttDWu6668c+ocY/vh+/5KG6DnO63Dvu9XlkuapgX3eG0C6+sx9h/7LCseaTPw69cvmM1m6jpJEuj1eur669evYNv2IaK2MxaLRSGN+LWzTjqllDCdTivdJEkC3W63XSSZo8G2bfB9HwCgciRmMBhAFEW1/j0+PkKapluLH4b58PBQ6gZl9enpSd3Lsgzm87m6Ho/H4DgOLBaLxmGHYQi3t7cFP5rkAbr59etX47CwDEzYtg3X19eVz6MoAiGEKsNtpF9nMBiA67qQJElhFMXzPAAAuLy8XNvPT58+Fdqaq6srWC6XrePINOPLly8wGAwA4E8bkCSJeh4EAbiuq9r48XgMSZKUjo49Pz+D4zjKPf7VR9uyLIOvX79uPT2nCCttBgaDgRIebMxQUAHeBPG9EYZhIY0PDw+VDX4b4jhWDTVz+nz79g0AAF5fXw8ck1XOzs4AAODl5WWt97rd7sqHStNpYMRxHLi5uSncGwwGhfq1Leraorrnnz9/LlxvI/0mLi4uAADg9+/fhftpmoIQYm2TCT2Or6+vBUWZ2Q26DH/58qVw/fT0pMoacV0Xnp+fjf59+fIFhBArSppevvf39/D9+/e20X5XsNJWw2KxANd1W79PbTxGo1GpbUcQBJDnecFug9rF6Og2M/q7eE1HQai9CLU1yLJsJY1PT0+qU0bKbBnQX1PjjukfjUYro3kARdsZ/BqjaWEbuOPl77//BoA/DTfapnQ6HYjj2Ph1vY6tyyagclD1dY7yWjc6DAArclvF7e0tCCHWsgnNsgyGwyG4rrsT5a6Mq6srAFjtjHXWSb8JVJ4/ffpUuN/tdsH3fQjDsJXtIID5w5rZH7TvSJJkRZEDKP94GgwG4DgOOI4DAG/9mhCi4GY0GsFff/21xRifOLuYc92RtwcBDDYvTcD5fnxXn7v3PE89832/ME8P/9iZ4D3HcVbsddCeI4qiFfu7NE2l4zgFP1zXXbFvQVsSz/NWbF1Mdi7UNkGPk24Th+lFN2jXoj/HcD3PU+/7vl9I3zr2NMfEe6oHJpso0GzVdPlC2dPt2rDsdVsmvY6sg15PHccx2rTRX5N6LYRoZSulh6fLMNqK0d+mdrK6LVlVfPBXl7Y26dfjgeWq27TpNmn0nTqbNv29Jmk5NU6h/XBdtyBvJlnXbcJNYBnqdT9N0xUbuo9u08ZKWwVlnUsTdOFFgUOiKDI2MqiE0TBd11UdjGlRBF6jca7ur+/7BSVMV/T08HQFTDesNsVDX2BgSj+Nl/7ccRx1jUrnqfNe6oGU5Z2+3mCbFCFdYS9rfDdV2vQf9UdXOumHTxV6p7QuVGGleUMXIqCbTTujJkqb3qGiclv2YdQm/TTN+NPrs660SSkL7poqbXo6jrFDb8uxtx9RFK3U9zZKG/qDCw30xUIIK23/hLUTT49c2JqiKzvrvGdSnJrcM416oaDqSqT+dWlSrtAd+olfpkiapitxoApYWUUxjf7ReFSli+arPiKH6IrlKfJe6oGU5Z0+hY4e6R8J+1DaqkbO9PjrI71l6WkTF1MHhSPf1G+9zmwqL22UNimlUanCOLZJf1U8aHz0fMIyKWs/6kbSjrVDb8sxtx+m8pOyOMCA6H0FRf9Apx8wKA9tRoj3zT7Lim3aKri7u2tljH93d6dsRQDebLQmk4m6hzZaaCRM7V7m83nBNuPnz59qNQ4aczqOA5ZlgRACHh8fC+/qxrhoVzQcDsGyLLi6uoI3GXvj+fkZLi4uCoaguMIzz3NlG0RXfAZBAEIIFX99gcF8Pi+kP45jCMNQGYc/PT0pmx+MD/qFeTMYDODy8pLt2U6I8XgMUkq1InHXdmubgLZUw+HQuC8U2km1WelMV18iaOdWxnQ6BcdxDpJnaE9E2ST9baH2bW1wHGfFZo7ZDZeXl0Zb0IuLi8JqbAAAIUTpIoL7+/uCLTSuNH5+foZutwvybWAJpJSq/qRpWuj3PhqstJUQx3GpsNEFBXVkWVZoFPM8X2mU0Egzy7KCAI9GI5jP50pAv3z5Ao7jKCG2bbuw8ABg1RgXGzEhBEgpYTAYQL/fV4ri3d0dfP/+HX7+/KnS7XkexHEMv3//Vu/TDS0nk0lhC4PZbAa9Xq+QJ7iiMI5jmM1m4LouPDw8QJ7nYNs2eJ4HUkpYLpdqUQbA2ypW2omuu9koczhQdptu83FoxuMxuK4LjuMUFk3EcQyLxaKw8hI3yG2Kvijn5uamduX0fD6HJEm2slqzKWj4TT9Ot5H+tmCZrEsQBHB5efnutmI6RizLKmyvkud5YSCCbvExGo3A87zScun1eitbgiRJsrIIjiHsYvhuR97uDdCGYvVhYGpHZoJOE+FUI/6vGyCbpkygYgiYGt7SfPZ9v3QIWvdXn/oEKC5K0NOs26jo6EbfNDzP84xToKZ0muymTplTjz+CMmGS2Sp3Uq7Kni5LdCFKWZ1DmTdN7ZkM+teJvy5zk8mkcjqmyabCvu+v+EvTo/ttsnXDMMs2ANbBOmgKT0+//jNt+ts2/VXxKItP1ea6pjYBbXfL8vC9cGztR5ldq16G1J3JJIj2QfSe3j+VhX+MU+D7LCvrnwC3imVZsANv3z2dTgfm8zl/Lb4TuB5slyAIjmaPxDiO4ezsbG919ZjSDrD/9H9EuP04HfZZVjw9eiS0OYGAYT4CuCfhMSgtuIfgYrHYS13FvRGPZWPRfaefYZgiPNJ2BPT7fXUUiOu6H9rI8j3B9YBhmLZw+3E67LOsWGljmB3B9YBhmLZw+3E68PQowzAMwzAMU4CVNoZhGIZhmBPgX7vy2HTIOcN8NLgeMAzTFm4/GJ2dKW08F898dNgmhWGYtnD7cTrsU7nm6VGGYRiGYZgTgJU2hmEYhmGYE4CVNoZhGIZhmBOAlbYacEfysl+/36/1o9PpgGVZ6pB2htmELMsqZRIPbwb4I3tt5Y/K/2g0gjzPjf7EcWysFzQubdNED5Om6amrj2Vp1vOoDj1t+sHpehvx//7f/6uMox4vej+O49bxKsu7quem8Gh6mrRvTeKDJ74EQdBIbnX6/T50Op3GcQEol5Wy+lEldwiN/7rxeS/UyQeVg6Z5hO+Y8hzB0zg+fF+6iwNNd+TtQXAcp3AQOj1sOooi4yHWdf5sEzxEd5sHJruuW3oo+LaBkkOl3wO7qgdRFBnLG7QDml3XVTKHB7WvIyd4kDMN1+QHHt5ND3JO07TycPkyXNddSQOQQ81N8cE0CiEqw6OH1beROUyTqVyFEMrPNE0LafA8b6XdQLf0PuZ30zbF9/1CWTiOs3JQPPqllyW9px9YT8Nv07bo8cBD5Kl8mMI1lQs9fLxNm6TLCF7T8tHdlMVZr3d6OrfNMfajVD6wbEx5ieiybwLruJ7fFGxjmtaNfbPPsmKlrQIhRKGSuq5bqKRRFDVSxOo6E+Z9sqt64Pv+itxhw4cIIVYaQF0hqsNxnJUOO01TY2db1tiuE54pjnrHQMM2dbZNFIy2nW2apqrz0NOlK200P0wdl+/7Mk3TlXJcJ256WvV3hRCVSpuUZrmheJ63dl7p8UBll94zKYOO45S2k006fxMmGcE064ocdYNxpnHU88b3/bXlex2OsR/VlSZdrlzXXXHTRNnC/Da1I1jndjHosS32WVY8PVqBbdvqkOo8zyFJEvjx44d6PhgMGh2a/PDwAJeXlzuLJ/OxGI/HBbkLggCSJIE0TdU927ah2+0W3lv3gO9OpwOTyaRwr9vtFg5un0wm4LruSljIpufo2rYNjuPAcrkEAKg9NH7Xh8p//foVoiiCJElKp2i63W5pfiDj8Ri6OT43ngAAHVRJREFU3e5Kmawz5VaXVtu2YTAY1Lqpus7zHP7666/GcTKBeYFTpIfm4uICAAB+//691nt63ry8vMDNzc3W4nUK6PL05cuXwjWeoU1xXRcWi0Wr8LIsgzAMIU3Ttduv9worbQ359esXAEBtY2zi6ekJfvz4Af1+32gLQO9Tewvd7gTdYWeBtgXUfoheo52A3hGY7Dg6nU7B/kVvYE22UdTGIMuyQjooJpsjtA2hcdNtYtax7/moZFkGk8kEPM9rJJvYYTUBO6QyeyO0P1nHzzYIIda2H0LZ3IUMDQYD8DwPJpNJpQ1OW3q93tb9NIEdoud5xuej0Qhubm427iyxLanyp9/vgxACZrPZRmE14eXlBQAAPn36ZHye5zmcn5+D4zilinEQBNDr9Vr1B+8N13UL120VNBP39/fgOA7c39+zPds/sNLWkNlstiKcTUmSRFXuNE1BSqlGICzLAtu2Qb5NVUMYhqqjkVKC4zhwdnYGnU4Hbm5uwPd91ehMp1PwfV91mvQ6CAJYLBYghAAhhIpLp9OBTqejwnMcBzzPg+VyCd1uF4QQ4DiOamCx87u+vgYpJQghVGeF8QYAuLq6gpubG+UnVqw4jsF1XZBSQpqmKq7j8RiiKCqMQM5mM4iiCKSU4HkenJ2dtcrvj8TV1RU4jgPT6bTW7Xw+X2skqtvtqvINw3Clwfz7779L39U/DNoqN6gsXl1dNX4nz3NwHKdVeE2ZTqfgOA6cn59vzU9UbupGxzaBlsn5+TlEUWSUHcuyIAxDOD8/37iTxDKksxQAb6O0GBdsS3atBKGi6rruihLpOA5YlgWO40Capmp0VwdHoIfD4VoLWt4js9msID+e50EYhoWP/rJ8bMJ8PodOpwO9Xg+klOD7/s4+lk6GXcy57sjbgwItjSDR6NhxnEY2RtSOCA2aPc9T8/mu6xb80Rc4OI5TMJilRs+6kSi6p7YmdcbNUhbzIoqilTi4rqv8QJskE3pafN9/V4sSdl0P1rH18Dyv1O6sCdQIX5enMjsyk61QHdQoGX9t/Ee5M9XZTWzadBsn+Me+jdq06TS1x6ILR9pQlS6TTVvVwgopi4sA1o2HXoYmOyfMS8dxam3DNrVpoz/dHypHmCdN2nr0b1e2Vsfej5YtiDLV4bY2baZ3d70ApA37LCseaWsAavVtRn4WiwWEYQiXl5fw/Pxc8DNJkpWvXCGEshN4fn6G5XIJvV4PbNuGPM/ViBjA6rQDXs9mMzWiMpvN1Bfu58+fC+7iOAYhRMFm5enpCb59+1Z4TuOI76Jfi8UCbm9vC3FIkkT5Yds2pGm6MmUKUByBBPhjo/PRv16bEMcxhGEIvu/XTl/FcdxqKoeWA466ua4LYRgCwJ/6cHd3t2bsq8GRWfzt2k6tLbZtK/u2nz9/buRXEARbmYpch263C1EUqfB1sO62wfO8QhlWjR7O5/NKG8FtIIRQcaka+el2u+D7PgyHw1obPDqD8dHI8xwWi4Wxbj4+Pqq89n0fHMfZ6ujxR91qBWGlrQH39/fG4fQmhGEIUkr48eMHPD09qft///13YRoS4K2TpAJ+d3cH19fX6lpf0PDw8ADX19eFa4A/xt+oQGFn3e12wfM8NQ0wHA5BCFFQuKhS+Pr6ujIlPBqNCobn8/m8UCF//vypnmOnjw0hteOL41jZ0tC9v6bTKcznc7Znq2E4HILruiuNpr6PWpZlsFgsWjWaeZ6vdFxo55bnOdi2DZ7ngRDiw9qZoH0bKrJtQFk/hH0UfnyV8enTp51PNaPyeyzTXuPxGFzXrV08hu3mRzSQv7y8rDXJyPMcJpPJRnaKZYsYvn792trPU4eVthryPIcwDI02NXEcV2r9WZYppafb7aqVNf1+Hz5//gxCiMKmk2EYKgHH+7RTxgUNqAzd3d3Bt2/f1PXT01Ohgvz69Qs8zyuMmHz9+lXZ1UkpCw0OKoXo/suXL4XVQKPRqDA6mGVZIf2j0Qjm87lSGufzeaERpl+4s9kMer0ejEYj+P3798pozevra2m+fnRQ+TWtzPz586caqc2yDG5vbwuNaxzHaynEeod9e3tb+ICZTqfgui5MJpMPO0KK9m1tiON4ZcQiCIK9KC9ocA8A8P37d6Ob0WgEt7e3O48LKr/n5+dH8cH2+PgIQgjjDAEyGo3A9/09xuo4sCyr0Jbneb5S94MgAMdxIIqijT5GptMphGGo6gPOUB3r6Pte2MWc64683Tv63LzJFqLKzsLzvJV93oDM26Odiclvk30XaPYl9NpkO2bakJCmxxRf3T3eA8PeVDT+pueg2TWYNq/EvaSq/DlVdlEP9Dw3/Ux5apIzU7noYVF3VWVD7aPoT7dZBDBvbGt6v8oGT7eb0vcno89Qnk1hIKZNVyl6W6BjsmnT46HXrbKyxDg0tSkzlTUt0zp5qcpXvQywPTDZMtXFoyzNFFPYZXJRlz9VMtLEDU0P2t2VleUuOLZ+1CTPejljHpX1i6Z9HWkfYyonvd4eI/uMl/VPgFvFsizYgbfMBuCKOlou+BVJp0jXodPpwHw+/5DTA004hXqAX7D7nJoLguBov5SPMW5xHMPZ2dlR1bNjyqdjzJ9tcArtB/PGPsuKp0c/CKPRaGU/JvnP9hzrbjIJ0GzvJea4sSwLbm9v96aw4d58uEjlmMA9AvXNQg8JbrezWCyOpp7hXpBl06n75Bjzh2F2zc5G2hiGYRiGYT4C+xpp+9cuPOUhXYZhGIZhmO3C06MfnDiOj+ZMQIZhGIZhyjmY0oZnVTKHYzQawXA4BMdxWHFjGIZhmCPnIErbaDSC8/NzSJJko3MJmfbkeQ7z+RyiKII0TT/sHlsMwzAMcyocRGmbTqcQRZHaggJXr+EKLtOvqWJX9v6mSgkegL3JiBTG5RiwbRuEEDAcDuHTp08rG7XiKjH91xRc2aX/mu6c3+l0TlqZH41GG50SQPMvCAIIgqCwEfMm8hwEQWGUu9/vH8WGpjr9fr+2PVg3L/SD7OkP85eW3aZ53RRcWWtZVqEssixT93Eja5SNJlA50mc2aF5gftJ6t6kMN6GsPPbtT6fTOZo6UFX3Af7Ui06ns3ICShOoTMVxXJDvNmWuv3Ootrvf77eqq1RHiOMYsiwr5NE29YitsLcd4TTgn80J6SaNdFM9GrWmmximaarcep6n/seDgE34vt/oIGI8vH0T6OHtx0Dd5pRRFBXS7DjO2oc2O46j8h43q6wrT30T4lMDN5AsO+i8CTTf0D+6aW5bOcKNKk9hA2Nd9mh+tJUN6ieQTUE9z1vZCHbTvG4D3XSasmkcymSy7oD5TWS4Kfom5G3amW36c2jK6j5eY5lh+71uGelyj+1/mzLfp5xUgX3GuvXEdV3VH2F9p20LzStsOw+d1p2sHm2CNKwwxeN26LmUAM0Paqf7TYVhWDi+p2wvqvF43GiTyPv7e+NRVuuwWCzU4e3HAJ75d3NzA/1+33gsEuX29lYdpNxmX6TBYAA3Nze1Z2E+Pj6e9KHA4/EYXl5eNvJDCAGfPn1S/iGDwQBeX19b+4/nwNJzcI+VMnncZFPXMj9N5yhumtdtwPMuLy8vKw82b0MURTAcDuHbt2+1e/NtQ4bbgu3Msfizb8rqPgDAy8uLOncTZ0vwzOkm6PtrUrlvU+aHlBPK4+Njq1Gw5XKpzt+tO5+52+2C67oHT+9Rrh6dzWYF5WZdBUFX+mzbLkyB4HQA/k+nDeg0BR3inc/ncHZ2pqYN6bOq4Xgcto/jGMIwVI2lPh2Cw7E4tIx+0Xh3Oh2lzOAQOQX97HQ6asprNBoZFSB6XtxsNmvUQcxms5VD7tchyzIQQkCv11Pxz7JMTYubFqbQKXMAWBmmpnlCp3RpBabljmGiW+qOhrWO0khlQp9awHSu26C4rguO46gpm/F4vJLvGG6Z/NL7NP16o0OnM3A6EP3p9/uFd+k0DZ2SwnjiebSY7jzPjVMN25qK2sUUXtl0MaYJ85Wmi5Yv5iet++uAHWmZzOhn/jbl7OwMfN9X542aKDMBwbRgnOjUtT41hlONbafIhsPhykbg2/LHJLN4X68DenkDwIosI1hH9LagbGq6iqq63+v1YDKZKP9s217rI8a2bXAcp9CHmT5YTO1WWZnrmEwNaHtL81B/T+974ziGfr+vym3bXF5ewvn5uUrPYDAo/aCJ4xiSJDn8wMtBx/lK2DRadGpUyrdhZCGEdF1XnSFHh4fplCpOn9ApGJwa9X1fTXFGUaSGp+lQtj50jc88z1PP6P84RYxTXxgHHNYXQkjHcaTneWp4Fv93HKdw5psedpN8gopzHpucJVhH1dl++jRA2XSYPq1M002nwDHN9H8aPk1zFEUqP01h0v+roGdOOo6jhs4xnDRNVVmtS1n54JQElUGEllHZ/1gHpCxORdPyRpkEco4g1gEpi1Pn+D+dbqfxpXmpT2E1xVQem07NmORZP3+X1mnT+aY0fpgPtK6YzhCuQq/DtG2i99eVJyxPKd/KEctOr1c0T7CsMB0IlWf6fxRFxnaxSZo3aWOa+mOSWSnL6wA9+xTLgeY7Na3Bd/Rznk31b9206PlIz+JsO22uy6kert5ulf2P76B8UBmi58zS9hbzHeuMlMV6hv/TdDbJO9qvroMeTwqVp2MxKTk6pW0bdl8mhQUrmF74KBCoHJlAYaAHaGNnTRszGne9k0EhpLZx2EAgtDHV440NIv6v+0PfW8f+DhvZsmebCmqV8tNUadMVMqoc6R02bXQRvSOqUm7LFI+6NOqyQ2VDVw7XBRtYUwOH8aVlqDd2ejlW5XWV3yaFCxt59M+koFK7kbYNa5kctVUCpSzvSGl8MT/08jN90NCOq0yu6zAdWK4fRt/mI4AqbVJKFV+9LEx1pe7wb/qB2UaR0NvWtvaKTf3RZVbK8jpAr019E/YpZR/K6yoeOnrdp6B8bNJGo5Jl+qgytVt6mevvSLkqQ2X+0Xqmp5cOajRNX9u2hb6vfwTSNvRY7COPbnpUnxoFKA7L1k0z6VOjyN3dHcxms8IUU5Zl4Lou2LYNDw8PcH19bfRzPp9DnucwHo8hjmP1ThiGhaHpm5sb6PV6avoCh1mzLFNTo/f392qrk8VioWz78jyH5XK5MlT99PQEt7e3MBgMYDabwfX1NQwGg4KN3c3NTeG929vbxvZ3g8Gg9WHxTYbKt4Ft2+C6LmRZBg8PDzCbzeDu7g7yPC+cFYl5KoRoFU6/34fLy0t1JmtTlsslzOfzxvLZZHUbnU55fHwE3/dhsVjUxqXT6cDt7e3OTyXBKY5erwdRFFW6nU6nMBwOwbIsmM/nxumYbbArmQzDEBzHWZnuc10X5NuHL0gpt36A+mAwAM/zlJ2bCToFt86UaZqmMJlMYD6fV7qbz+cghChMmdLVq2maqvu2bYOUEnq9Xusp8DRNV6Zv26TR5M86MlvGOrsHtK2LVXV/NBqpOAwGAxBCQJIk6lnddCw1iwF4a7s8z4Pn5+fKOJWV+bbAdvHm5gZ839+6/2XQfMJdLUz2voPBAC4vL1fa912YfNRxVEobKi76nPLj46NqGOsafJPSh/Zgur/64gK09aEb/6IChgbMs9ms8A6du+90OjAYDODvv/9WilAcx3B+fl5QJH3fV2nB+f9fv37B9fV1QYHC/BgMBup/7BjCMFSGk0II9V6n04EkSWqNKjdluVxupbP6+++/AeBNOU2SpLSzvbi4gPv7ewD4s6jk4eFBLVJBZbqtQpDnOSRJsrbxd57n0O/3lVFwXSc4GAwKHX0ZSZIUGoGnpydlgFwGKhW6sf3nz58hSRL1vC6vm3B/fw++7zeSs9FopNK7beN6yrZkUsfzPFgulwUl4OzsrFBGbbZeaEKdPI/H41Z5iwtS6j5wrq+vQQhRUBwfHh7A87yVPI7jGIIggMFgAFEUNfrIKIsXVc7apNHkzzoyS+vx3d0d/PjxQ5U51iPsV0wfvWV1sQl1dZ8qDr9+/VIfmNPpVOVTVbhhGK7Ya9OPXxNlZb4tZrMZRFFUu0Bm2yyXy0K9XSwWpYMY0+kU5vN5wT1ty3fd59JAjwLdHmFd6DA0aMPJZVMo+tAwvkuHY3X7OIDitBNem6YZ8L7JBklPZ5nNDp0G1IeZqa0R+qc/w3xdd2h+0/LQ02nKf2pLQKeGTfYWJvtBfdgc38FyxWlLGgdaLtS9Hi6+93//93+V6UdbSSp3NBz6/zrD6zjUr8uXbnemlxFNL/7fNK//53/+p9RvGhdqn0LD+c///E9jHaJh0HLFMKqmw6rkqMoWpYq6tgLv//d//3chXJoOkz96WnV5q6qLZe0CPtOnrPU8rkKXT/0ZUlZXcGoIy5rGAe/jVJded+u2SaBhmuLSNI1N/DHJrMmcRS9r3Z7PVJ9N90x1scm2EWV1H5+Z5K4pWO9M6atqt8rKvExOdD90//Q+i7ZrtGxMeVCWZya3dTJE+2fqtqyNoPfXaXO2iSUln+7+3sGvqn1/xbwXmmyHwpQTBEHhCx1HlnEEGf//CHzUuqjLwLHR6XRgNptBt9uFIAjg5eVlZ9P4AMefH++J95bXRzU9ymyf0WgEt7e3H66T2Bb9fn+njfd7J47jFRsRnNaO4xguLy8/jMIWBMGHq4toC/X9+/dDR6WWfZTLKeXHe6DT6dRO/Z4aPNLGMMxO6ff7ylga4M2m8z19+TKnSRzHavPdKIpgMBgU7rGcMscIK20MwzAMwzAnAE+PMgzDMAzDnACstDEMwzAMw5wAB1Pa6PljeEYm0uY8Qf2dsvMDdwE9m3Gd89HoppH6pocI9TcIAojjeK0NHumGi3hN/V7HL/0duuHiPqAy00Q+9HKhP3rGq+nXJk76r+68Qf0MSSrDbc6XxHP6qtDPvDWloy5vmpyjSOUO81P3c1/1cxPoxt66/DSBbvi7Th62qZvbBM/ebAqVq3XO2cX8WVfWNzlzdt/t1rZoe+Ys8844yEYjcvWoC4xKm/MENz2DcFP0Pama7C2kH0VDz4OU8s9+TKZ9qZoe86IfAQLavkS0DJrQ5p1tgmkxHd1kIk3Twt52NL/1fNHP32u6pxoeL4b/67LQFCrDbc6X1M/1q6OsLOl+cJumq+wImkPK0Lro8V9HNkzvN2kfDl3PTMc8VUHrmX5mal049DzUfbXf0HB/M9yP8Bhoe+Ys8/741z4VRAS/IHHnYbqlwng8VicTNKXNO9uE7uF1c3PT6Aipv//+u/DVtFwuV0Yb9R2ox+PxWsuXX19fC7s7SylVGMvlcu2vzTbvbIs8z1U+47FWdcdvdbvd0mX8Vfuu/fXXXxCGIeR5XhtG1XYV6+ztRmXYtm1I07TxUWQAb2mNoghms1kj97jD/eXlpXGX+W2l69S5uLhQ/8dxDGEYrnWMD30/CAJIkqT2FIJD1jOAt/b469evxuN8TNB6Zts2eJ4Hr6+vte/99ddfqn5dXFzAt2/f2kd6DYQQjY6pu7m5aVyfdk2bNoF5nxxketS2bXAcByzLUptNmvbCwqkJXZlpMgyPUzz4ThAE6t3RaFSYqqHQKQx8H4elMT510xZNhrDxSBQaPuYBHqnU6/VW3hsMBo33E/r27RuEYViIj57Pv3//XkkvgDkfdPTheswb+h7Nc4Sev6lPD6J7fWqGKk9BEOx077SfP3+C4zitzmQtw5Tedacz6XttzpvUwTxcZzprF9ApRJwy1evcf/3Xfym50E0rUOYwHVX+ldX7MuhH03A4BN/319rPC9/P8xwmkwlEUVSQq7r2jMb33//+d6HMMW8wjab6U5YXVfV6GzT5uMR8wPZ0nXyl5i+YHmzjkaZ9hcldp9MBIQScn5+re9RdWd6Z2kC8riq3pv0TgLlNwLDXaVOZE+WQw3ym44qk/DM8n6ZpYVoLh4j1//EdHF5Hf3HYHsOgx+/g0L/jOGoo3/d9NT2E/9PjO5oMlfu+v9aQOvpNh70xjro/6BbWmAquOvaGhkvzz5QP9B0hxMpwPT2+BP3T8xyhR8bg/1hOdcP/ejhN0adH9Xygv3WmNSll04E0vXhEjWk6k5aBftyN67rGI3fo/2Xhm9CPRcI6YDouZh1/9ff0vNXrO/Ub/y+rc/RIOSFEoTxNU7km/2i9X6eeNjV7KMNxnJW8rWrPMI9wuhwxmVXQo9P0PNHzoimmY+Ka0sYsgMpgHbRtoeH5vq/Sj3mCOI6zMoVb9T++Q4+2wvLT2zPqXm8Dy8wz9HJr0j81bROwjWnapjKnxVGcPaqfAWrqvCi0M0D080V1IS7zD8/Mo6DSRytpE8HHRnZdaKdCr02NWFvbD/1MUilX7Qr1TkXPB/0dPV/K/NMbQz3NpnKqwmTv1yT9VUqb6aNhXZsiU8eonylJG2TdfVUjr1+b8q+N0obvYXq3rbQ1tWnT7ahM5aUrIVjH8RzgdfyjnWEd2Pm1pc4OztSeYb3TZbwqHWX1Z10bNSnbK226ktkU13XXthWkH9u6go9njSJpmq7YxFJMZUD7kLLzc3XK2sCm5VbVP5W1CVVtTNM2lTkdDjI9qq+UXC6X4HkePD8/175rWRYsFotau5D/v727x2kdCAI4PuegSBFyBjooUiQ5AAURDVUkLkCalG7iA4BERRUbKSdwSSwK7hAKxD38CjRhvLHjD5z33or/T0LvA3tjj73riXcSt6HTTovFQpbLZeP1R6NR7W/QjuN4d3u83+9LlmVyenoqaZrupo8Xi8XBNuzt+qJb32EY5p51mGWZbLfbyundn8ahymQykdFotNvnpvr9/lG2S+m04Xq9FpH8VHHbTzxmX2+QJMuy1jVhdnrlJ/FzXV1dye3t7a7Ora4u4qLTQBcXFxJFUeV26pMVPj4+ZDabyWq1kre3Nzk7O2vcXt3tm8/ne3Vs2rdsDIr6ldbBJUmyt77I4fEsSZLadWVl295lLKrY8awpW+5gp//rTGPf3d1JlmUSBEFu+c/Pz1qvXfeaEkVRrh93WT7Rlp0K7WKMwf/vn33lx8PDQ64uIEmSyjqIOI5lPB4frZ7p6elJoihq9Qy6wWCwK+hO07TWRUwflyLylchut1s5OTnZbct2uz1Yh3B/f1/ZSW3hqsa7arD5SRyqaL1eUfF7E4+Pj0d7fp9eULUw2g6GTZ+TqQm4W2vTVBAEcnNz01n8XG361E/iolarlSyXy9rrj8djCcNQer2eXF5eSpIkuQ/cNG2vyvn5+V4dm/tGqOwi/v7+LtPpdK+OLY5j6fV6leNZkiQyHA73vtpCkwsdM6bTaWHC2HUsDknTVF5eXnZvWpue4+v1WmazmYh8Jec2rlUmk8nug0rj8VjSNJXhcJh70/v6+lpYxF/3mjIcDnPjdRiGjb+Spe5xq0vHhK7GGHji79zQy9NpRHvL2dZT2f/Tv+ttYftv/dOtC7Dtzufz0vbscpvNJneLXNu36xdNFxTdmtawujUIlq1fsNvgKmu7Dq2vs+vqrXtbf+HGvCgOWi9i27FxKWtPp2bsMbRxL4pz0bSVWx/VZDrTbo9dzo2N/ak7deZuQ9kxco+zfW1bf2Jf2z0uqih+z8/PufY0Xu5+uOer+zt3erRqv5rEw4232wd0X66vr0v7nO6XjYWNTZ323H5f1reLpsQO9VWX7RPuj56DReOZXc/uj+6nu2xRbVRZLGw9Zdm0mW3LxkVf79Dy9hy050HZVGLR+V3FnlubzWY3/exur13Otu+OR0XHIMu+j7+danT3zzo0ptrflx23quuTG2s3Zu752aZeEP8/nj36F4RhyIOHj8ze/cA3zr16fmOc2uxzm3Xom0B3eIzVEelHvY81jYcvYRhKEARcFAytZ/ptiUgbg8Gg0fcf+k7PjabjUpuvjKBvAt3iThsAAIAHuNMGAADgAZI2AAAAD5C0AQAAeICkDQAAwAMkbQAAAB4gaQMAAPAASRsAAIAHSNoAAAA8QNIGAADgAZI2AAAAD5C0AQAAeICkDQAAwAMkbQAAAB4gaQMAAPAASRsAAIAHSNoAAAA8QNIGAADgAZI2AAAAD5C0AQAAeICkDQAAwAMkbQAAAB74A7nQS/UpNSIUAAAAAElFTkSuQmCC\"\u003e\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\u0026nbsp;\u0026nbsp;\u003ctable border=\"1\" id=\"Tab6\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eIdentification of species based on phylogenetic analysis of alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2) genes\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSpecies\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eIsolates\u003csup\u003e$\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ePercentage\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\u003cem\u003eT. asperelloides\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePTi3, PNi1, PR1, TB2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. asperellum\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePsh1, PNi3, TB3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. hamatum\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePR2,SR, SG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. viride\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePNi2, SS, TB1, NT3, Z3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. koningiopsis\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePTi1, PR3, NT1, NT2, Z2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eT. harzianum\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePsh2, Psh3, PTi2, Z1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\"\u003e\u003csup\u003e\u003cstrong\u003e*\u003c/strong\u003e\u003c/sup\u003e\u003cem\u003eT\u003c/em\u003e- \u003cem\u003eTrichoderma\u003c/em\u003e; \u003csup\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/sup\u003e P- Pulwama, sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eIt was found that the morpho-cultural or molecular characterization alone could not produce the similar results. Therefore, the final confirmation for the identification of various \u003cem\u003eTrichoderma\u003c/em\u003e species was obtained based on combined approach of morpho-cultural as well as molecular characterization based on ITS, EF1-α1 and RPB2 genes and grouped twenty four isolates into six groups \u003cem\u003eviz.\u003c/em\u003e, Group I (\u003cem\u003eT. koningiopsis\u003c/em\u003e), Group II (\u003cem\u003eT. viride\u003c/em\u003e), Group III (\u003cem\u003eT. asperellum\u003c/em\u003e), Group IV (\u003cem\u003eT. asperelloides\u003c/em\u003e), Group V (\u003cem\u003eT. hamatum\u003c/em\u003e) and Group VI (\u003cem\u003eT. harzianum\u003c/em\u003e) accommodating 5 (PTi1, PR3, NT1, NT2, Z2), 5 (PNi2, SS, TB1, NT3, Z3), 3 (Psh1, PNi3, TB3), 4 (PTi3, PNi1, PR1, TB2), 3 (PR2, SR, SG) and 4 (Psh2, Psh3, PTi2, Z1) isolates, respectively, thereby indicating the presence of six species of \u003cem\u003eTrichoderma\u003c/em\u003e in apple rhizosphere in two districts of Srinagar and Pulwama (Table \u003cspan class=\"InternalRef\"\u003e8\u003c/span\u003e). The each sequence based on ITS, EF-α1 and RPB2 genes of \u003cem\u003eTrichoderma\u003c/em\u003e species was used in nucleotide blast program of NCBI database for the identification of each isolate and submitted to the Genbank NCBI, and Accession numbers obtained from MZ292909 to MZ292931 and MZ292986, MZ322871 to MZ322894 and MZ361055 to MZ361078, respectively (Table \u003cspan class=\"InternalRef\"\u003e8\u003c/span\u003e). \u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tab8\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 8\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eFinal confirmation of \u003cem\u003eTrichoderma\u003c/em\u003e isolates based on morpho-cultural and molecular characterization\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eIsolates\u003csup\u003e$\u003c/sup\u003e\u003c/p\u003e\n \u003cp\u003eNo.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eAccession Number\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eIdentified species\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003ePercentage\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eITS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eEF1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRPB2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePTi1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292930\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322894\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361073\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"5\"\u003e\n \u003cp\u003e\u003cem\u003eT. koningiopsis\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"5\"\u003e\n \u003cp\u003e20.83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePR3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292931\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322890\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361070\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNT1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292920\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322891\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361071\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNT2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292926\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322892\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361072\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eZ2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292925\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322893\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361069\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePNi2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292914\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322886\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361075\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"5\"\u003e\n \u003cp\u003e\u003cem\u003eT. viride\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"5\"\u003e\n \u003cp\u003e20.83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292923\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322887\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361076\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTB1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292921\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322888\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361077\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNT3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292922\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322889\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361078\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eZ3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292924\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322885\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361074\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePsh1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292915\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322873\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361057\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003e\u003cem\u003eT. asperellum\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003e12.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePNi3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292986\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322872\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361056\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTB3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292927\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322871\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361055\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePTi3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292909\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322874\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361064\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"4\"\u003e\n \u003cp\u003e\u003cem\u003eT. asperelloides\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"4\"\u003e\n \u003cp\u003e16.67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePNi1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292910\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322875\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361065\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePR1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292929\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322877\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361062\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTB2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292918\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322876\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361063\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePR2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292916\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322884\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361066\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003e\u003cem\u003eT. hamatum\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003e12.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292917\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322883\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361067\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292928\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322882\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361068\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePsh2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292911\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322879\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361059\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"4\"\u003e\n \u003cp\u003e\u003cem\u003eT. harzianum\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"4\"\u003e\n \u003cp\u003e16.67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePsh3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292912\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322880\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361060\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePTi2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292914\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322881\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361058\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eZ1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ292913\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ322878\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMZ361061\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\"\u003e\u003csup\u003e\u003cstrong\u003e*\u003c/strong\u003e\u003c/sup\u003e\u003cem\u003eT\u003c/em\u003e- \u003cem\u003eTrichoderma\u003c/em\u003e; \u003csup\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/sup\u003e P- Pulwama, sh- Shadimarg, Ti- Tiken, Ni- Nikas, R- Rajpora, SS- Shalimar 1, SR- Shalimar 2, SG- Shalimar 3, TB- Teilbal, NT- Harwan, Z- Zakura; 1, 2, 3- isolate number\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e"},{"header":"Discussion","content":"\u003cp\u003eTwenty four isolates of \u003cem\u003eTrichoderma\u003c/em\u003e species were obtained from apple rhizosphere of Jammu and Kashmir, a North-western region of India and identified on the basis of morpho-cultural characters followed by their molecular confirmation using sequencing of ITS, EF1-α1 and RPB2 genes following different protocols [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eMorpho-cultural characterization of 24 isolates of \u003cem\u003eTrichodema\u003c/em\u003e species was studied based on colony characters like texture, margins, colour, shape, diameter and growth rate, spore characteristics, shape of phialides, and mycelial dry weight. Based on colony texture, three groups comprising of Group I (flat cottony growth), Group II (fluffy growth) and Group III (flat granular growth) were formed accommodating 33.33, 41.67 and 25.00 per cent of isolates, respectively. Grouping of the isolates based on colony margins was also carried out and distributed 24 isolates into two groups. Group I with uniform margins accommodated 87.5 per cent of isolates and Group II with irregular margins comprised of 12.50 per cent isolates. Similarly, grouping based on colony colour distributed the isolates into four groups, Group I with whitish to light green colony color, Group II (white to dark green), Group III (white to black green) and Group IV (dull white to green) accommodating 20.83, 45.83, 16.67 and 16.67 per cent isolates, respectively. Similarly, based on colony shape, 4 groups were formed namely Group I, II, III and IV accommodating 16.67, 16.67, 25 and 41.66 per cent isolates, respectively. Present results were in close agreement with the observations of different workers around the world [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e] who also found that the colonies of various \u003cem\u003eTrichoderma\u003c/em\u003e isolates were flat cottony, fluffy or raised and flat granular in texture having regular or irregular margins on PDA medium. Sharma and Singh [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e] also reported that the majority of \u003cem\u003eTrichoderma\u003c/em\u003e isolates showed different colony colour like dark green (12 isolates), whitish green (9 isolates), light green (6 isolates) and rest of the isolates (3) had yellowish green colonies. Kamaruzzaman \u003cem\u003eet al.\u003c/em\u003e [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e] also observed that the colony colour of 10 selected isolates of \u003cem\u003eTrichoderma\u003c/em\u003e varied from dark green to light green or black green or whitish green. Similarly, Amaresh \u003cem\u003eet al.\u003c/em\u003e [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e] also reported colour variation from dark green or light green to yellowish green with flat to raised growth pattern. These observations were in close agreement with our results. The colony shape varied in different isolates of this fungus. Production of green spore mass was observed either at centre of the Petri plates containing PDA medium making 1\u0026ndash;2 concentric rings or spread over the entire plate with yellowish or whitish aggregated spore mass or white mycelium with green conidia towards the margin of the plate. Some isolates formed white mycelium with limited green conidial formation in concentric rings near the centre or dispersed along the margin. The results of colony shape were in close agreement with the observations made by other workers [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eDistinct variation was found in spore characteristics \u003cem\u003eviz.\u003c/em\u003e, spore colour, shape, ornamentation, size, and shape of phialides in different isolates. Based on conidial colour, four groups such as Group I with olive green coloured spores, Group II (yellow green), Group III (pale green) and Group IV (bright green) were formed accommodating 4 (16.60%), 5 (20.80%), 5 (20.80%) and 10 (41.40%) isolates, respectively. Likewise, grouping of isolates on the basis of spore shape resulted in four groups \u003cem\u003eviz.\u003c/em\u003e, Group I with globose shaped conidia, Group II (globose to sub-globose), Group III (globose to sub-cylindrical) and Group IV (sub-globose to obvoid condia) accommodating 4 (16.60%), 5 (20.80%), 5 (20.80%) and 10 (41.40%) isolates, respectively. Grouping on the basis of spore ornamentation, isolates were distributed into two groups namely Group I with smooth walled conidia accommodated 83.33 per cent isolates and Group II (rough walled) comprised of 16.67 per cent isolates. Based on shape of phialides, four groups such as Group I with flask shaped phialides, Group II (slender), Group III (elongated) and Group IV (swollen) phialides were formed accommodating 4 (16.60%), 5 (20.80%), 5 (20.80%) and 10 (41.40%) isolates, respectively. Similar observations were recorded by different workers all over the world [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, 38,, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e], and Kabir \u003cem\u003eet al.\u003c/em\u003e [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e] who also found that the shape and ornamentation of various \u003cem\u003eTrichoderma\u003c/em\u003e isolates as globose, globose to sub-globose, globose to sub-cylindrical and sub-globose to obvoid in shape having smooth and rough ornamentation. Similarly, Gams and Bisset [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e] found that conidial colour varied from typical green to olive green or grey or brown or sometimes colourless. Sriram \u003cem\u003eet al.\u003c/em\u003e [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e] also reported that the conidia in \u003cem\u003eTrichoderma\u003c/em\u003e species were olive green or dark green in colour. Grouping on the basis of phialide shape distributed different isolates into four groups \u003cem\u003eviz.\u003c/em\u003e, Group I with flask shaped phialides, Group II (slender), Group III (elongated) and Group IV (swollen) accommodating 4 (16.60%), 5 (20.80%), 5 (20.80%) and 10 (41.40%) isolates, respectively. Rifai [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e] and other workers [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e] from time to time also found that the shape of phialide of various \u003cem\u003eTrichoderma\u003c/em\u003e isolates were flask to slender, elongated or swollen confirming the results obtained from the present study.\u003c/p\u003e \u003cp\u003eThe maximum conidial length and breadth was observed in isolate SR whereas the minimum was observed in isolate Z1. The maximum length and breadth ratio was observed in isolate PNi2, whereas the minimum length and breadth ratio was again observed in isolate Z1. Conidial size was reported to vary from of 2\u0026ndash;5 \u0026times; 2\u0026ndash;4 \u0026micro;m in different \u003cem\u003eTrichoderma\u003c/em\u003e isolates [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. Similar observations were also recorded by Soesanto \u003cem\u003eet al.\u003c/em\u003e [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e], who found variability in spore dimensions of four \u003cem\u003eTrichoderma\u003c/em\u003e isolates. Sriram \u003cem\u003eet al.\u003c/em\u003e [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e] recorded the conidial size in 30 different \u003cem\u003eTrichoderma\u003c/em\u003e isolates and reported that the conidial size and L/W ratio varied significantly in \u003cem\u003eT. viride\u003c/em\u003e and \u003cem\u003eT. asperellum.\u003c/em\u003e\u003c/p\u003e \u003cp\u003eSignificant variation was found in \u003cem\u003eTrichoderma\u003c/em\u003e isolates with respect to colony diameter on PDA medium. The highest colony diameter was recorded in PR2 isolate and the least in Psh2 isolate. Similar results were also obtained by different workers in terms of colony diameter of \u003cem\u003eTrichoderma\u003c/em\u003e isolates on PDA [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e, \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. Distinct variations were also observed in average growth rate of different isolates of \u003cem\u003eTrichoderma\u003c/em\u003e on PDA medium. The highest growth rate was observed in Psh1, PNi2, NT2, Z1 isolates and the least growth rate was observed in TB2 isolate. Variations in terms of growth rates of different \u003cem\u003eTrichoderma\u003c/em\u003e isolates has been reported in \u003cem\u003eTrichoderma\u003c/em\u003e species by different workers [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. A high level of variation was also observed in terms of mycelial dry weight in \u003cem\u003eTrichoderma\u003c/em\u003e isolates. The highest mycelial dry weight was recorded in PR2 isolate and the least in PTi3 isolate. A significant variation in terms of mycelial dry weight of different isolates of \u003cem\u003eTrichoderma\u003c/em\u003e was also reported by different workers [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e, \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e, \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThus, based on morpho-cultural characterization, the 24 isolates of \u003cem\u003eTrichoderma\u003c/em\u003e were identified up to species level and grouped them in four species. The isolates namely Psh2, Psh3, PTi2 and Z1 belong to \u003cem\u003eT. harzianum\u003c/em\u003e, whereas the isolates PNi2, SS, TB1, NT1, NT3 and Z3 belong to \u003cem\u003eT. viride\u003c/em\u003e as described by Bisset [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e] and others [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. Isolates namely PTi1, PR3, NT2 and Z2 belong to \u003cem\u003eT. koningiopsis\u003c/em\u003e and 10 isolates Psh1, PTi3, PNi1, PNi3, PR1, PR2, SR, SG, TB2 and TB3 belong \u003cem\u003eT. hamatum\u003c/em\u003e as described by Rifai [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e], Bissett [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e] and Nagamani \u003cem\u003eet al.\u003c/em\u003e [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e].\u003c/p\u003e\n\u003ch3\u003eMolecular Characterization Based On Multiple Gene Sequencing\u003c/h3\u003e\n\u003cp\u003eThe phylogenetic analysis of sequence based concreted data set of three genes namely internal transcribed spacer (ITS), alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2) genes grouped 24 isolates of \u003cem\u003eTrichoderma\u003c/em\u003e species in to three distinct clades as clade A, B and C, respectively. Clade A based on internal transcribed spacer (ITS) sequences grouped the 24 isolates into five sub-clades \u003cem\u003eviz.\u003c/em\u003e, Clade I, II, III, IV and V accommodating 8.33, 16.67, 25.00, 20.84 and 29.16 per cent isolates, respectively (Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e; Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e4\u003c/span\u003e). The isolates in clade I were identified as \u003cem\u003eTrichoderma\u003c/em\u003e species (2 isolates), Clade II as \u003cem\u003eT. harzianum\u003c/em\u003e (4 isolate), Clade III as \u003cem\u003eT. viride\u003c/em\u003e (6 isolate), Clade IV as \u003cem\u003eT. asperelloides\u003c/em\u003e (5 isolate) and Clade V as \u003cem\u003eT. koningiopsis\u003c/em\u003e (7 isolate). Kindermann \u003cem\u003eet al.\u003c/em\u003e [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e] for the first time attempted to study the phylogeny of whole \u003cem\u003eTrichoderma\u003c/em\u003e genus based on sequencing of ITS region, and reported it as a powerful tool for authentic identification of \u003cem\u003eTrichoderma\u003c/em\u003e species being highly conserved within the species but varies from species to species. Other researchers also reported the importance of ITS sequence in \u003cem\u003eTrichoderma\u003c/em\u003e species identification [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e, \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e, \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e]. However, the results obtained from the ITS were not in congruence with the morpho-cultural data. This could be possible due to the reason that few morphological characters with limited variation may lead to an overlap and misidentification of the isolates/strains also described by various workers from time to time [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e, \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e, \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe phylogenetic analysis of sequences of 24 isolates based on alpha elongation factor (EF1-α1) (clade B) and RNA polymerase B II (RPB2) (clade C) genes revealed the similar results (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Twenty-four isolates of \u003cem\u003eTrichoderma\u003c/em\u003e species based on EF1-α1 and RPB2 genes were grouped into six sub- clades \u003cem\u003eviz.\u003c/em\u003e, Clade I, II, III, IV, V and VI. The isolates in clade I were identified as \u003cem\u003eT. koningiopsis\u003c/em\u003e, Clade II as \u003cem\u003eT. viride\u003c/em\u003e, Clade III as \u003cem\u003eT. asperellum\u003c/em\u003e, Clade IV as \u003cem\u003eT. asperelloides\u003c/em\u003e, Clade V as \u003cem\u003eT. hamatum\u003c/em\u003e and Clade VI as \u003cem\u003eT. harzianum\u003c/em\u003e accommodating 20.83, 20.83, 12.50, 16.67, 12.50 and 16.67 per cent isolates, respectively. Other researchers have also reported the importance of alpha elongation factor and RNA polymerase B II genes sequencing in identification and phylogenetic analysis of \u003cem\u003eTrichoderma\u003c/em\u003e species [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e, \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e, \u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e]. However, the results obtained from EF1-α1 and RPB2 genes were slightly different from results obtained from ITS region being highly conserved across the species. Therefore, this can be the probable reason for not differentiating the some species leading to mis-identifications, may be due to the presence of non-orthologous copies of ITS in these isolates as also reported by Hoyos-Carvajal \u003cem\u003eet al.\u003c/em\u003e [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e, \u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e, \u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e]. Alpha elongation factor and RNA polymerase B II genes were also explored to distinguish \u003cem\u003eTrichoderma\u003c/em\u003e species because of their variability, therefore able to reflect species differences within and among the groups of closely related species [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. Due to their presence as a single copy in the genomes of all eukaryotes and slow rate of divergence, these genes are considered as very useful for the higher level of phylogenetic reconstruction [\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e, \u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e, \u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e, \u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e68\u003c/span\u003e].\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eAcknowledgment\u003c/p\u003e\n\u003cp\u003eThe authors are thankful to all scientist, technical- and non-technical staff as well as students of Plant Pathology, SKUAST-K who directly or indirectly helped in conducting the present study.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e: All the authors read and approved the manuscript and have equally contributed in this study.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFunding\u003c/p\u003e\n\u003cp\u003eNo funding was available and the corresponding author has paid all the cost incurred on current research personally.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompliance with ethical standards\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of interest\u003c/strong\u003e: there was no involvement of animals in this study. All authors declare that there are no conflicts of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInformed consent\u003c/strong\u003e: Informed consent was received from all the individual participants included in this study\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eChadha TR (1992). \u003cem\u003eTextbook of Temperate Fruits\u003c/em\u003e. ICAR, New Delhi, India, pp 1-215.\u003c/li\u003e\n\u003cli\u003eAnonymous (2019). Production and area statement for 2018-2019. Department of Horticulture, Government of Jammu and Kashmir.\u003c/li\u003e\n\u003cli\u003eVinale F, Sivasithamparam K, Ghisalberti E, Marra R, Woo SL and Lorito M (2007). \u003cem\u003eTrichoderma\u003c/em\u003e: Plant pathogen interactions. \u003cem\u003eSoil Biology and Biochemistry\u003c/em\u003e 40: 1-10.\u003c/li\u003e\n\u003cli\u003eHai FI, Modin O, Yamamoto K, Fukushi K, Nakajiam F and Nghiem LD (2012). 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Rapid identification of \u003cem\u003eTrichoderma koningiopsis\u003c/em\u003e and \u003cem\u003eTrichoderma longibrachiatum\u003c/em\u003e using sequence-characterized amplified region markers. \u003cem\u003eEgyptian Journal of Biological Pest Control\u003c/em\u003e, 29(1): 1-8.\u003c/li\u003e\n\u003cli\u003eBrito-Vega, H. (2020). The morphological and molecular characterization of Trichoderma spp. in cocoa agroforestry systems. \u003cem\u003eOpen Science Journal\u003c/em\u003e, 5(4).\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"biological control, morphological characterization, cultural characterization, Internal Transcribed Spacer (ITS), Alpha elongation factor (EF1-α1), RNA polymerase B II (RPB2), Trichoderma species","lastPublishedDoi":"10.21203/rs.3.rs-2429359/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2429359/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eThe pesticide based disease management has many disadvantages including soil, water and air pollution besides adverse impact on humans and environment. Therefore, an alternative strategy is to identify and use ecofriendly management strategy like biological control. The identification of locally available bio-agents such as \u003cem\u003eTrichoderma\u003c/em\u003e species is essential for successful disease management. To eliminate the mis-identification of \u003cem\u003eTrichoderma\u003c/em\u003e species, a combined strategy of conventional (morphological and cultural) and molecular (multigene sequencing) approaches to characterize \u003cem\u003eTrichoderma\u003c/em\u003e isolates have been recommended for their identification.\u003c/p\u003e\u003ch2\u003eMethods and Results\u003c/h2\u003e \u003cp\u003eA combined morpho-cultural and molecular approach including multigene sequencing based on internal transcribed spacer (ITS), alpha elongation factor (EF1-α1) and RNA polymerase B II (RPB2) were used to characterize 24 \u003cem\u003eTrichoderma\u003c/em\u003e isolates from apple rhizosphere of Jammu and Kashmir. A significant variation was observed in morpho-cultural characteristics of different isolates of \u003cem\u003eTrichoderma\u003c/em\u003e which grouped the \u003cem\u003eTrichoderma\u003c/em\u003e isolates into four groups \u003cem\u003eviz.\u003c/em\u003e, Group I, II, III and IV accommodating 4 (16.67%), 4 (16.67%), 6 (25.00%) and 10 (41.66%) isolates and identified as \u003cem\u003eT. harzianum\u003c/em\u003e, \u003cem\u003eT. koningiopsis, T. viride\u003c/em\u003e and \u003cem\u003eT. hamatum\u003c/em\u003e, respectively. The concreated sequence data set based on three genes resulted them into 03 independent clades as Clade I, II and III based on ITS, EF1-α1 and RPB2. The sequencing results obtained from ITS region grouped them into five sub-clades identified as \u003cem\u003eT. harzianum\u003c/em\u003e (Clade I), \u003cem\u003eT. viride\u003c/em\u003e (Clade II), \u003cem\u003eT. asperelloides\u003c/em\u003e (Clade III) and \u003cem\u003eT. koningiopsis\u003c/em\u003e (Clade VI) accommodating 4 (16.67%), 6 (25.00%), 5 (20.83%) and 4 (29.16%), isolates, respectively and two independent lineages by 2 (8.33%) isolates. However, two genes EF1-α1 and RPB2 genes grouped 24 \u003cem\u003eTrichoderma\u003c/em\u003e isolates into two separate clades based on EF1-α1 and RPB2 genes, respectively, and grouped 24 isolates into six sub-clades identified as \u003cem\u003eT. asperelloides\u003c/em\u003e (Clade I), \u003cem\u003eT. asperellum\u003c/em\u003e (Clade II), \u003cem\u003eT. hamatum\u003c/em\u003e (Clade III), \u003cem\u003eT. viride\u003c/em\u003e (Clade IV), \u003cem\u003eT. koningiopsis\u003c/em\u003e (Clade V) and \u003cem\u003eT. harzianum\u003c/em\u003e (Clade VI). The morpho-cultural and molecular characterization alone could not produce similar results. Thus, the final identification of 24 \u003cem\u003eTrichoderma\u003c/em\u003e isolates was obtained based on a combined morpho-cultural and molecular approach, and grouped them into six groups (I-VI) (\u003cem\u003eT. koningiopsis\u003c/em\u003e, \u003cem\u003eT. viride\u003c/em\u003e, \u003cem\u003eT. asperellum, T. asperelloides, T. hamatum\u003c/em\u003e and \u003cem\u003eT. harzianum\u003c/em\u003e) accommodating 5 (PTi1, PR3, NT1, NT2, Z2), 5 (PNi2, SS, TB1, NT3, Z3), 3 (Psh1, PNi3, TB3), 4 (PTi3, PNi1, PR1, TB2), 3 (PR2, SR, SG) and 4 (Psh2, Psh3, PTi2, Z1) isolates, respectively, indicating presence of six species of \u003cem\u003eTrichoderma\u003c/em\u003e in apple rhizosphere in temperate region of Jammu and Kashmir, India.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eIndividual method alone could not identify these isolates, thus, the combined morpho-cultural and molecular approach was employed for final identification of 24 \u003cem\u003eTrichoderma\u003c/em\u003e isolates and identified them as \u003cem\u003eT. koningiopsis\u003c/em\u003e, \u003cem\u003eT. viride\u003c/em\u003e, \u003cem\u003eT. asperellum, T. asperelloides, T. hamatum\u003c/em\u003e and \u003cem\u003eT. harzianum\u003c/em\u003e isolated from apple rhizosphere in Jammu and Kashmir, India.\u003c/p\u003e","manuscriptTitle":"Morpho-cultural and molecular characterization of Trichoderma species from apple rhizosphere of North-western Himalayan temperate region of India","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-01-10 20:57:09","doi":"10.21203/rs.3.rs-2429359/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"201cefa5-2165-446e-9a52-cc19abfa518c","owner":[],"postedDate":"January 10th, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2023-02-10T10:00:59+00:00","versionOfRecord":[],"versionCreatedAt":"2023-01-10 20:57:09","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-2429359","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-2429359","identity":"rs-2429359","version":["v1"]},"buildId":"-HB7Z8yhvgn0wM9Nzuekk","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}