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dc.contributorSrivastava, Rishien_US
dc.contributorNath, Manojen_US
dc.contributorTripathi, Shaileshen_US
dc.contributorBhardwaj, chellapillaen_US
dc.contributorUpadhyaya, Hari D.en_US
dc.contributorTyagi, Akhilesh K.en_US
dc.contributorParida, Swarup K.en_US
dc.creatorBajaj, Deepaken_US
dc.date2016-04-16en_US
dc.date.accessioned2017-04-08T22:17:12Z
dc.date.available2017-04-08T22:17:12Z
dc.identifierhttp://oar.icrisat.org/id/eprint/9692en_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/lZuazPDwen_US
dc.identifier.citationDeepak Bajaj, Rishi Srivastava, Manoj Nath, Shailesh Tripathi, chellapilla Bhardwaj, Hari D. Upadhyaya, Akhilesh K. Tyagi, Swarup K. Parida. (16/4/2016). Eco TILLING-Based Association Mapping Efficiently Delineates Functionally Relevant Natural Allelic Variants of Candidate Genes Governing Agronomic Traits in Chickpea. Frontiers in Plant Science, 07 (450), pp. 1-9.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6664
dc.description.abstractThelarge-scaleminingandhigh-throughputgenotypingofnovelgene-basedallelicvariantsinnaturalmappingpopulationareessentialforassociationmappingtoidentifyfunctionallyrelevantmoleculartagsgoverningusefulagronomictraitsinchickpea.Thepresentstudyemploysanalternativetime-saving,non-laboriousandeconomicalpool-basedEcoTILLINGapproachcoupledwithagarosegeldetectionassaytodiscover1133novelSNPallelicvariantsfromdiversecodingandregulatorysequencecomponentsof1133transcriptionfactor(TF)genesbygenotypingin192diversedesiandkabulichickpeaaccessionsconstitutingaseedweightassociationpanel.IntegratingtheseSNPgenotypingdatawithseedweightfieldphenotypicinformationof192structuredassociationpanelidentifiedeightSNPallelesintheeightTFgenesregulatingseedweightofchickpea.TheassociatedindividualandcombinationofallSNPsexplained10–15and31%phenotypicvariationforseedweight,respectively.TheEcoTILLING-basedlarge-scalealleleminingandgenotypingstrategyimplementedforassociationmappingisfoundmucheffectiveforadiploidgenomecropspecieslikechickpeawithnarrowgeneticbaseandlowgeneticpolymorphism.Thisoptimizedapproachthuscanbedeployedforvariousgenomics-assistedbreedingapplicationswithoptimalexpenseofresourcesindomesticatedchickpea.Theseedweight-associatednaturalallelicvariantsandcandidateTFgenesdelineatedhavepotentialtoacceleratemarker-assistedgeneticimprovementofchickpea.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherFrontiers Mediaen_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceFrontiers in Plant Science;07 (450),(2016) Pagination 1,9en_US
dc.subjectassociation mappingen_US
dc.subjectalleleen_US
dc.subjectecotillingen_US
dc.subjectseedweighten_US
dc.subjecttranscription factoren_US
dc.subjectChickpeaen_US
dc.titleEco TILLING-Based Association Mapping Efficiently Delineates Functionally Relevant Natural Allelic Variants of Candidate Genes Governing Agronomic Traits in Chickpeaen_US
dc.typeJournal Articleen_US
cg.subject.agrovocagricultureen_US
cg.subject.agrovocsnpen_US
cg.subject.agrovocchickpeasen_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.centerIndian Council of Agricultural Research, Indian Agricultural Research Institute - ICAR-IARIen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.crpCGIAR Research Program 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.2016.00450en_US
dc.identifier.statusOpen accessen_US
mel.impact-factor3.678en_US


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