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dc.contributorJaganathan, Deepaen_US
dc.contributorKudapa, Hima binduen_US
dc.contributorThudi, Mahendaren_US
dc.contributorRoorkiwal, Manishen_US
dc.contributorKatta, Mohan AVSen_US
dc.contributorDoddamani, Dadakhalandaren_US
dc.contributorVanika, Gargen_US
dc.contributorKavi Kishor, Polavarapu B.en_US
dc.contributorGaur, Pooranen_US
dc.contributorNguyen, Henry T.en_US
dc.contributorBatley, Jacquelineen_US
dc.contributorEdwards, Daviden_US
dc.contributorSutton, Timen_US
dc.contributorVarshney, Rajeeven_US
dc.creatorKale, Sandipen_US
dc.identifier.citationSandip Kale, Deepa Jaganathan, Hima bindu Kudapa, Mahendar Thudi, Manish Roorkiwal, Mohan AVS Katta, Dadakhalandar Doddamani, Garg Vanika, Polavarapu B. Kavi Kishor, Pooran Gaur, Henry T. Nguyen, Jacqueline Batley, David Edwards, Tim Sutton, Rajeev Varshney. (19/10/2015). Prioritization of candidate genes in “QTL-hotspot” region for drought tolerance in chickpea (Cicer arietinum L. ). Scientific Reports, 5 (15296).en_US
dc.description.abstractA combination of two approaches, namely QTL analysis and gene enrichment analysis were used to identify candidate genes in the “QTL-hotspot” region for drought tolerance present on the Ca4 pseudomolecule in chickpea. In the first approach, a high-density bin map was developed using 53,223 single nucleotide polymorphisms (SNPs) identified in the recombinant inbred line (RIL) population of ICC 4958 (drought tolerant) and ICC 1882 (drought sensitive) cross. QTL analysis using recombination bins as markers along with the phenotyping data for 17 drought tolerance related traits obtained over 1–5 seasons and 1–5 locations split the “QTL-hotspot” region into two subregions namely “QTL-hotspot_a” (15 genes) and “QTL-hotspot_b” (11 genes). In the second approach, gene enrichment analysis using significant marker trait associations based on SNPs from the Ca4 pseudomolecule with the above mentioned phenotyping data, and the candidate genes from the refined “QTL-hotspot” region showed enrichment for 23 genes. Twelve genes were found common in both approaches. Functional validation using quantitative real-time PCR (qRT-PCR) indicated four promising candidate genes having functional implications on the effect of “QTL-hotspot” for drought tolerance in chickpea.en_US
dc.publisherNature Publishing Groupen_US
dc.sourceScientific Reports;5,(2015)en_US
dc.titlePrioritization of candidate genes in “QTL-hotspot” region for drought tolerance in chickpea (Cicer arietinum L.)en_US
dc.typeJournal Articleen_US
cg.creator.idThudi, Mahendar: 0000-0003-2851-6837en_US
cg.creator.idRoorkiwal, Manish: 0000-0001-6595-281Xen_US
cg.subject.agrovocplant genetic resourcesen_US
cg.subject.agrovocdrought toleranceen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.centerThe University of Western Australia, Faculty of Science, School of Plant Biology - UWA - FoS - SoPBen_US
cg.contributor.centerUniversity of Adelaide - Adelaideen_US
cg.contributor.centerOsmania Universityen_US
cg.contributor.centerUniversity of Missouri - MU USAen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes - GLen_US
cg.contributor.funderNot Applicableen_US
cg.contributor.project-lead-instituteInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.isijournalISI Journalen_US
dc.identifier.statusLimited accessen_US
cg.journalScientific Reportsen_US

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