Eco TILLING-Based Association Mapping Efficiently Delineates Functionally Relevant Natural Allelic Variants of Candidate Genes Governing Agronomic Traits in Chickpea
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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.
