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dc.contributorBajaj, Deepaken_US
dc.contributorNarnoliya, laXMIen_US
dc.contributorDas, Shouviken_US
dc.contributorkumar, vinoden_US
dc.contributorGowda, C. L. L.en_US
dc.contributorSharma, Shivalien_US
dc.contributorTyagi, Akhilesh K.en_US
dc.contributorParida, Swarup K.en_US
dc.creatorUpadhyaya, Hari D.en_US
dc.date2016-03-23en_US
dc.date.accessioned2017-04-20T13:07:11Z
dc.date.available2017-04-20T13:07:11Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/MsvmjDaken_US
dc.identifier.citationHari D. Upadhyaya, Deepak Bajaj, laXMI Narnoliya, Shouvik Das, vinod kumar, C. L. L. Gowda, Shivali Sharma, Akhilesh K. Tyagi, Swarup K. Parida. (23/3/2016). Genome-Wide Scans for Delineation of Candidate Genes Regulating Seed-Protein Content in Chickpea. Frontiers in Plant Science, 7: 302.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6846
dc.description.abstractIdentification of potential genes/alleles governing complex seed-protein content (SPC) is essential in marker-assisted breeding for quality trait improvement of chickpea. Henceforth, the present study utilized an integrated genomics-assisted breeding strategy encompassing trait association analysis, selective genotyping in traditional bi-parental mapping population and differential expression profiling for the first-time to understand the complex genetic architecture of quantitative SPC trait in chickpea. For GWAS (genome-wide association study), high-throughput genotyping information of 16376 genome-based SNPs (single nucleotide polymorphism) discovered from a structured population of 336 sequenced desi and kabuli accessions [with 150–200 kb LD (linkage disequilibrium) decay] was utilized. This led to identification of seven most effective genomic loci (genes) associated [10–20% with 41% combined PVE (phenotypic variation explained)] with SPC trait in chickpea. Regardless of the diverse desi and kabuli genetic backgrounds, a comparable level of association potential of the identified seven genomic loci with SPC trait was observed. Five SPC-associated genes were validated successfully in parental accessions and homozygous individuals of an intra-specific desi RIL (recombinant inbred line) mapping population (ICC 12299 × ICC 4958) by selective genotyping. The seed-specific expression, including differential up-regulation (>four fold) of six SPC-associated genes particularly in accessions, parents and homozygous individuals of the aforementioned mapping population with a high level of contrasting SPC (21–22%) was evident. Collectively, the integrated genomic approach delineated diverse naturally occurring novel functional SNP allelic variants in six potential candidate genes regulating SPC trait in chickpea. Of these, a non-synonymous SNP allele-carrying zinc finger transcription factor gene exhibiting strong association with SPC trait was found to be the most promising in chickpea. The informative functionally relevant molecular tags scaled-down essentially have potential to accelerate marker-assisted genetic improvement by developing nutritionally rich chickpea cultivars with enhanced SPC.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherFrontiers Mediaen_US
dc.rightsCC-BY-4.0en_US
dc.sourceFrontiers in Plant Science;7:302,(2016)en_US
dc.subjectgbsen_US
dc.subjectseed-protein contenten_US
dc.subjectgwasen_US
dc.subjectqtlen_US
dc.subjectchickpeaen_US
dc.subjectChickpeaen_US
dc.titleGenome-Wide Scans for Delineation of Candidate Genes Regulating Seed-Protein Content in Chickpeaen_US
dc.typeJournal Articleen_US
cg.subject.agrovocseeden_US
cg.subject.agrovocsnpen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.centerNational Institute of Plant Genome Research - NIPGRen_US
cg.contributor.centerIndian Council of Agricultural Research, National Research Centre on Plant Biotechnology - ICAR- NRCPBen_US
cg.contributor.crpCRP on Grain Legumes - GLen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.countryINen_US
cg.contactswarup@nipgr.ac.inen_US
cg.identifier.doihttps://dx.doi.org/10.3389/fpls.2016.00302en_US
dc.identifier.statusOpen accessen_US
mel.impact-factor3.678en_US


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