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dc.contributorKhan, Aamiren_US
dc.contributorKudapa, Hima binduen_US
dc.contributorKale, Sandipen_US
dc.contributorChitikineni, Annapurnaen_US
dc.contributorQiwei, Sunen_US
dc.contributorMamta, Sharmaen_US
dc.contributorLi, Chuanyingen_US
dc.contributorZhang, Baohongen_US
dc.contributorLiu, Xinen_US
dc.contributorKavi Kishor, Polavarapu B.en_US
dc.contributorVarshney, Rajeeven_US
dc.creatorVanika, Gargen_US
dc.identifier.citationGarg Vanika, Aamir Khan, Hima bindu Kudapa, Sandip Kale, Annapurna Chitikineni, Sun Qiwei, Sharma Mamta, Chuanying Li, Baohong Zhang, Xin Liu, Polavarapu B. Kavi Kishor, Rajeev Varshney. (16/10/2018). Integrated transcriptome, small RNA and degradome sequencing approaches provide insights into Ascochyta blight resistance in chickpea. Plant Biotechnology Journal, 5(17), pp. 914-931.en_US
dc.description.abstractAscochyta blight (AB) is one of the major biotic stresses known to limit the chickpea production worldwide. To dissect the complex mechanisms of AB resistance in chickpea, three approaches,namely, transcriptome, small RNA and degradome sequencing were used. The transcriptome sequencing of 20 samples including two resistant genotypes, two susceptible genotypes and one introgression line under control and stress conditions at two time points (3rd and 7th day post inoculation) identified a total of 6767 differentially expressed genes (DEGs). These DEGs were mainly related to pathogenesis-related proteins, disease resistance genes like NBS-LRR, cell wall biosynthesis and various secondary metabolite synthesis genes. The small RNA sequencing of the samples resulted in the identification of 651 miRNAs which included 478 known and 173 novel miRNAs. A total of 297 miRNAs were differentially expressed between different genotypes, conditions and time points. Using degradome sequencing and in silico approaches, 2131 targets were predicted for 629 miRNAs. The combined analysis of both small RNA and transcriptome datasets identified 12 miRNA-mRNA interaction pairs that exhibited contrasting expression in resistant and susceptible genotypes and also, a subset of genes that might be posttranscriptionally silenced during AB infection. The comprehensive integrated analysis in the study provides better insights into the transcriptome dynamics and regulatory network components associated with AB stress in chickpea and, also offers candidate genes for chickpea improvement.en_US
dc.publisherWiley Open Accessen_US
dc.sourcePlant Biotechnology Journal;5,(2018) Pagination 914,931en_US
dc.subjectascochyta blighten_US
dc.subjectdifferentially expressed genesen_US
dc.subjectfungal stressen_US
dc.subjectmrna targetsen_US
dc.subjectascochyta blight resistanceen_US
dc.titleIntegrated transcriptome, small RNA and degradome sequencing approaches provide insights into Ascochyta blight resistance in chickpeaen_US
dc.typeJournal Articleen_US
cg.creator.idMamta, Sharma: 0000-0001-5745-4693en_US
cg.subject.agrovocbiotic stressen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.centerBeijing Genomics Institute- Shenzhen - BGI-Shenzhenen_US
cg.contributor.centerEast Carolina Universityen_US
cg.contributor.centerOsmania Universityen_US
cg.contributor.crpCRP on Grain Legumes and Dryland Cereals - GLDCen_US
cg.contributor.funderCGIAR System Office - CGIAR - Sysen_US
cg.coverage.regionEastern Asiaen_US
cg.coverage.regionSouthern Asiaen_US
dc.identifier.statusTimeless limited accessen_US

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