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dc.contributor.authorKaushik, Abhinav
dc.contributor.authorRoberts, Daniel P
dc.contributor.authorRamaprasad, Abhinay
dc.contributor.authorMfarrej, Sara
dc.contributor.authorNair, Mridul B
dc.contributor.authorLakshman, Dilip
dc.contributor.authorPain, Arnab
dc.date.accessioned2020-12-23T08:33:24Z
dc.date.available2020-12-23T08:33:24Z
dc.date.issued2020-12-22
dc.identifier.citationKaushik, A., Roberts, D. P., Ramaprasad, A., Mfarrej, S., Nair, M. B., Lakshman, D., & Pain, A. (2020). The pangenome analysis of the soil-borne fungal phytopathogen Rhizoctonia solani and development of a comprehensive web resource: RsolaniDB. doi:10.1101/2020.12.18.423518
dc.identifier.doi10.1101/2020.12.18.423518
dc.identifier.urihttp://hdl.handle.net/10754/666613
dc.description.abstractRhizoctonia solani is a collective group of genetically and pathologically diverse basidiomycetous fungus that damages economically important crops. Its isolates are classified into 13 Anastomosis Groups (AGs) and subgroups having distinctive morphology and host range. The genetic factors driving the unique features of R. solani pathology are not well characterized due to the limited availability of its annotated genomes. Therefore, we performed genome sequencing, assembly, annotation and functional analysis of 12 R. solani isolates covering 7 AGs and selected subgroups (AG1-IA, AG1-IB, AG1-IC, AG2-2IIIB, AG3-PT (isolates Rhs 1AP and the hypovirulent Rhs1A1), AG3-TB, AG4-HG-I (isolates Rs23 and R118-11), AG5, AG6, and AG8), in which six genomes are reported for the first time, wherein we discovered unique and shared secretomes, CAZymes, and effectors across the AGs. Using a pangenome comparative analysis of 12 R. solani isolates and 15 other basidiomycetes, we also elucidated the molecular factors potentially involved in determining the AG-specific host preference, and the attributes distinguishing them from other Basidiomycetes. Finally, we present the largest repertoire of R. solani genomes and their annotated components as a comprehensive database, viz. RsolaniDB, with tools for large-scale data mining, functional enrichment and sequence analysis not available with other state-of-the-art platforms, to assist mycologists in formulating new hypotheses.
dc.publisherCold Spring Harbor Laboratory
dc.relation.urlhttp://biorxiv.org/lookup/doi/10.1101/2020.12.18.423518
dc.rightsArchived with thanks to Cold Spring Harbor Laboratory
dc.titleThe pangenome analysis of the soil-borne fungal phytopathogen Rhizoctonia solani and development of a comprehensive web resource: RsolaniDB
dc.typePreprint
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentBioscience Program
dc.contributor.departmentBiological & Environmental Science & Engineering Division, KAUST, Thuwal 23955-6900, Saudi Arabia.
dc.eprint.versionPre-print
dc.contributor.institutionSustainable Agricultural Systems Laboratory, USDA-ARS, Beltsville, MD 20705, USA.
dc.contributor.institutionResearch Center for Zoonosis Control, Global Institution for Collaborative Research and Education (GI-CoRE); Hokkaido University, Sapporo, 001-0020 Japan.
kaust.personKaushik, Abhinav
kaust.personRamaprasad, Abhinay
kaust.personMfarrej, Sara
kaust.personNair, Mridul B
kaust.personPain, Arnab
refterms.dateFOA2020-12-23T08:33:59Z


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