Eco TILLING-Based Association Mapping Efficiently Delineates Functionally Relevant Natural Allelic Variants of Candidate Genes Governing Agronomic Traits in Chickpea
Citation
Deepak 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.
Abstract
Thelarge-scaleminingandhigh-throughputgenotypingofnovelgene-basedallelicvariantsinnaturalmappingpopulationareessentialforassociationmappingtoidentifyfunctionallyrelevantmoleculartagsgoverningusefulagronomictraitsinchickpea.Thepresentstudyemploysanalternativetime-saving,non-laboriousandeconomicalpool-basedEcoTILLINGapproachcoupledwithagarosegeldetectionassaytodiscover1133novelSNPallelicvariantsfromdiversecodingandregulatorysequencecomponentsof1133transcriptionfactor(TF)genesbygenotypingin192diversedesiandkabulichickpeaaccessionsconstitutingaseedweightassociationpanel.IntegratingtheseSNPgenotypingdatawithseedweightfieldphenotypicinformationof192structuredassociationpanelidentifiedeightSNPallelesintheeightTFgenesregulatingseedweightofchickpea.TheassociatedindividualandcombinationofallSNPsexplained10–15and31%phenotypicvariationforseedweight,respectively.TheEcoTILLING-basedlarge-scalealleleminingandgenotypingstrategyimplementedforassociationmappingisfoundmucheffectiveforadiploidgenomecropspecieslikechickpeawithnarrowgeneticbaseandlowgeneticpolymorphism.Thisoptimizedapproachthuscanbedeployedforvariousgenomics-assistedbreedingapplicationswithoptimalexpenseofresourcesindomesticatedchickpea.Theseedweight-associatednaturalallelicvariantsandcandidateTFgenesdelineatedhavepotentialtoacceleratemarker-assistedgeneticimprovementofchickpea.
DSpace URI
https://hdl.handle.net/20.500.11766/6664Other URI
http://oar.icrisat.org/id/eprint/9692Collections
Subject(s)
AGROVOC Keywords
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