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Deciphering the network of interconnected pathways of Chaetomium globosum antagonistic related genes against Bipolaris sorokiniana using RNA seq approach


Affiliations
1 Fungal Molecular Biology Laboratory, Division of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi – 110 012, India
 

Chaetomium species are known as potential biocontrol agents against phytopathogens due to their multiple antagonistic mechanisms. Plant disease is controlled by Chaetomium exhibit complex interactions against plant pathogen under varied conditions. Previously, mycoparasitism and antibiosis have been reported as most effective mechanism exhibited by the C. globosum against Bipolaris sorokiniana. In the present study, the examination of major biosynthetic pathways underlying Chaetomium globosum biocontrol activity was elucidated. It was shown that the pathways related to biosynthesis of secondary metabolites, hydrolytic enzymes and other key regulator genes were involved in production of hydrolytic enzymes and antifungal metabolites. We identified various genes of biological function with significant log2 fold change such as phosphoribosyl aminoimidazole carboxylase (9.693), protease (8.18), cyanate hydratase (Cyanase) (6.7), Fe2OG dioxygenase domain-containing protein (5.9), superoxide dismutase (5.55), glycosidase (5.34), carboxylic ester hydrolase (5.27), alpha-1,2-Mannosidase (4.44), alpha-1,4 glucan phosphorylase (3.99), endochitinase (3.87), P53-like transcription factor (Fragment) (3.55), metalloprotease (3.4), polyketide synthase (3.35), Catalase-peroxidase (CP) (3.14), protein kinase domain-containing protein (3.18) and glutamate decarboxylase (2.1) which are involved in biosynthesis of secondary metabolites, polyketide synthase, antibiotic, hydrolytic enzymes and putative fungistatic metabolites. This data provides a good foundation for continued researches into C. globosum Cg2 biocontrol activity for facilitating widespread application under the field conditions.


Keywords

Bio-control, Bipolaris sorokiniana, Chaetomium globosum, CNV, interconnected pathways, secondary metabolites
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  • Aggarwal R. 2015. Chaetomium globosum: A potential biocontrol agent and its mechanism of action. Indian Phytopathology. 68(1): 8–24.
  • Aggarwal R, Kharbikar LL, Sharma S, Gupta S and Yadav A. 2013. Phylogenetic relationships of Chaetomium isolates based on the internal transcribed spacer region of the rRNA gene cluster. African Journal of Biotechnology. 12(9): 914–20. doi: 10.5897/ajb12.2633
  • Aggarwal R, Tewari AK, Srivastava KD, Singh DV. 2004. Role of antibiosis in the biological control of spot blotch (Cochliobolus sativus) of wheat by Chaetomium globosum. Mycopathologia. 157(4): 369–77. PMid: 15281398. https://doi:10.1023/b:myco.0000030446 https://doi.org/10.1023/B:MYCO.0000030446.86370.14
  • Biswas SK, Srivastava KD, Aggarwal R, Dureja P, Singh DV. 2000. Antagonism of Chaetomium globosum to Drechslera sorokiniana, the spot blotch pathogen of wheat. Indian Phytopathology. 53: 436–40.
  • doi:10.1023/b: myco.0000030446.86370.14
  • Dal Bello GM, Monaco CI, Sisterna MN. 1994. Efecto de Trichoderma spp. sobre el control del tizón de la plántula en trigo ocasionada por Bipolaris sorokiniana. Fitopatol Bras 19: 394–400.
  • Darshan K, Rashmi Aggarwal, Bashyal BM, Singh J, Shanmugam V, Gurjar MS, Solanke A. 2020.
  • Transcriptome profiling provides insights into potential antagonistic mechanisms involved in Chaetomium globosum against Bipolaris sorokiniana. Frontiers in Microbiology. 11: e578115. PMid: 33365017 PMCid: PMC7750538. https://doi.org/10.3389/fmicb.2020.578115
  • Doveri F. 2013. An additional update on the genus Chaetomium with descriptions of two coprophilous species, new to Italy. Mycosphere. 4: 820–46. https://doi.org/10.5943/mycosphere/4/4/17
  • Grabowska A, Kwinta J, Bielawski W. 2012. Glutamine synthetase and glutamate dehydrogenase in triticale seeds: Molecular cloning and genes expression. Acta Physiologiae Plantarum. 34(6): 2393–406. doi: 10.1007/s11738-012-1085-9 https://doi.org/10.1007/s11738-012-1085-9
  • Grabowska P, Misra BN, Sangwan NS. 2013. β-glucosidases from the fungus Trichoderma: An efficient cellulase machinery in biotechnological applications. BioMed Res. Inter. 1: 1–10. PMid: 23984325 PMCid: PMC3747355. doi: 10.1155/2013/203735 https://doi.org/10.1155/2013/203735
  • Harman GE, Howell CR, Viterbo A, Chet I, Lorito M. 2004. Trichoderma species-opportunistic, avirulent plant symbionts. Nature Reviews Microbiology. 2(1): 43–56. PMid: 15035008. https://doi.org/10.1038/nrmicro797
  • Howell CR. 2003. Mechanisms employed by Trichoderma species in the biological control of plant diseases: The history and evolution of current concepts. Plant Disease. 87(1): 4–10. PMid: 30812698. https://doi.org/10.1094/PDIS.2003.87.1.4
  • Kohl M, Wiese S, Warscheid B. 2011. Cytoscape: Software for visualization and analysis of biological networks. Data Mining in Proteomics. Methods in Molecular Biology. 696: 291–303. PMid: 21063955.
  • https://doi.org/10.1007/978-1-60761-987-1_18
  • Kosanovic DI, Potocnik B, Duduk J, Vukojevic M, Stajic E, Rekanovic, S Milijasevic Marcic. 2013. Trichoderma species on Agaricus bisporus farms in Serbia and their biocontrol. Annals of Applied Biology. 163(2): 218–30. https://doi.org/10.1111/aab.12048
  • Lind Abigail L, Jennifer H, Lameiras WC, Wiemann P, Palmer JM, Keller NP, Rodrigues F, Goldman GH, Rokas A. 2017. Drivers of genetic diversity in secondary metabolic gene clusters in a fungal population. BioRxiv.149856. https://doi.org/10.1101/149856
  • Maere S, Heymans K, Kuiper M. 2005. BiNGO: A Cytoscape plugin to assess over representation of gene ontology categories in biological networks. Bioinformatics. 21: 34489. PMid: 15972284. https://doi.org/10.1093/bioinformatics/bti551
  • Mandal SK, Srivastava D, Aggarwal R, Singh DV. 1999. Mycoparasitic action of some fungi on spot blotch pathogen Drechslera sorokiniana of wheat. Indian Phytopathology. 52: 39–43.
  • Monteiro VN, do Nascimento Silva R, Steindorff AS, Costa FT, Noronha EF, Ricart CAO, Ulhoa CJ. 2010. New insights in Trichoderma harzianum antagonism of fungal plant pathogens by secreted protein analysis.
  • Curr. Micro. 61(4): 298–305. PMid: 20213103. https://doi.org/10.1007/s00284-010-9611-8
  • Moya P, Pedemonte D, Amengual, S, Franco ME, Sisterna MN. 2016. Antagonism and modes of action of Chaetomium globosum species group, potential biocontrol agent of barley foliar diseases. Bol Soc Argent Bot. 51(4): 569– 78. https://doi.org/10.31055/1851.2372.v51.n4.16334
  • Ogata H, Goto S, Sato K, Fujibuchi W, Bono H, Kanehisa M. 1999. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Research. 27(1): 29–34. PMid: 9847135 PMCid: PMC148090. https://doi.org/10.1093/nar/27.1.29
  • Shentu XP, Liu WP, Zhan XH, Xu YP, Xu JF, Yu XP, Zhang CX. 2014. Transcriptome sequencing and gene expression analysis of Trichoderma brevicompactum under different culture conditions. PloS One. 9(4): e94203. PMid: 24710600 PMCid: PMC3978026. https://doi.org/10.1371/journal.pone.0094203
  • Soytong K, Kanokmedhakul S, Kukongviriyapa V, Isobe M. 2001. Application of Chaetomium species (Ketomium) as a new broad-spectrum biological fungicide for plant disease control. Fungal Diversity. 7:1–15.
  • Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas J, Jensen LJ. 2019. STRING v11: Protein-protein association networks with increased coverage, supporting functional discovery in genomewide experimental datasets. Nucleic Acids Research 47: D607–613. PMid: 30476243 PMCid: PMC6323986. https://doi.org/10.1093/nar/gky1131
  • Vannacci G, Harman GE. 1987. Biocontrol of seed-borne Alternaria raphani and A. brassicicola. Canadian Journal of Microbiology. 33(10): 850–6. https://doi.org/10.1139/m87-149
  • Vieira PM, Coelho ASG, Steindorff AS, de Siqueira, SJL, do Nascimento Silva R, Ulhoa CJ. 2013. Identification of differentially expressed genes from Trichoderma harzianum during growth on cell wall of Fusarium solani as a tool for biotechnological application. BMC Genomics. 14(1): 177. PMid: 23497274 PMCid: PMC3606605. https://doi.org/10.1186/1471-2164-14177
  • Walsh MA, Otwinowski Z, Perrakis A, Anderson PM, Joachimiak A. 2000. Structure of cyanase reveals that a novel dimeric and decameric arrangement of subunits is required for formation of the enzyme active site.
  • Structure. 8(5): 505–14. https://doi.org/10.1016/S09692126(00)00134-9
  • Wang XW, Lombard L, Groenewald JZ, Li J, Videir SI, Samson RA, Liu XZ, Crous PW. 2016. Phylogenetic reassessment of the Chaetomium globosum species complex. Persoonia. 36: 83–133. PMid: 27616789 PMCid: PMC4988377. https://doi.org/10.3767/003158516X689657

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  • Deciphering the network of interconnected pathways of Chaetomium globosum antagonistic related genes against Bipolaris sorokiniana using RNA seq approach

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Authors

Darshan K.
Fungal Molecular Biology Laboratory, Division of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi – 110 012, India
Rashmi Aggarwal
Fungal Molecular Biology Laboratory, Division of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi – 110 012, India
Bishnu Maya Bashyal
Fungal Molecular Biology Laboratory, Division of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi – 110 012, India
M. Haritha Mohan
Fungal Molecular Biology Laboratory, Division of Plant Pathology, ICAR - Indian Agricultural Research Institute, New Delhi – 110 012, India

Abstract


Chaetomium species are known as potential biocontrol agents against phytopathogens due to their multiple antagonistic mechanisms. Plant disease is controlled by Chaetomium exhibit complex interactions against plant pathogen under varied conditions. Previously, mycoparasitism and antibiosis have been reported as most effective mechanism exhibited by the C. globosum against Bipolaris sorokiniana. In the present study, the examination of major biosynthetic pathways underlying Chaetomium globosum biocontrol activity was elucidated. It was shown that the pathways related to biosynthesis of secondary metabolites, hydrolytic enzymes and other key regulator genes were involved in production of hydrolytic enzymes and antifungal metabolites. We identified various genes of biological function with significant log2 fold change such as phosphoribosyl aminoimidazole carboxylase (9.693), protease (8.18), cyanate hydratase (Cyanase) (6.7), Fe2OG dioxygenase domain-containing protein (5.9), superoxide dismutase (5.55), glycosidase (5.34), carboxylic ester hydrolase (5.27), alpha-1,2-Mannosidase (4.44), alpha-1,4 glucan phosphorylase (3.99), endochitinase (3.87), P53-like transcription factor (Fragment) (3.55), metalloprotease (3.4), polyketide synthase (3.35), Catalase-peroxidase (CP) (3.14), protein kinase domain-containing protein (3.18) and glutamate decarboxylase (2.1) which are involved in biosynthesis of secondary metabolites, polyketide synthase, antibiotic, hydrolytic enzymes and putative fungistatic metabolites. This data provides a good foundation for continued researches into C. globosum Cg2 biocontrol activity for facilitating widespread application under the field conditions.


Keywords


Bio-control, Bipolaris sorokiniana, Chaetomium globosum, CNV, interconnected pathways, secondary metabolites

References





DOI: https://doi.org/10.18311/jbc%2F2020%2F26736