Please use this identifier to cite or link to this item: http://223.31.159.10:8080/jspui/handle/123456789/777
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dc.contributor.authorSrivastava, Rishi-
dc.contributor.authorUpadhyaya, Hari D.-
dc.contributor.authorKumar, Rajendra-
dc.contributor.authorDaware, Anurag-
dc.contributor.authorBasu, Udita-
dc.contributor.authorShimray, Philanim W.-
dc.contributor.authorTripathi, Shailesh-
dc.contributor.authorBharadwaj, Chellapilla-
dc.contributor.authorTyagi, Akhilesh K.-
dc.contributor.authorParida, Swarup K.-
dc.date.accessioned2017-08-14T06:26:01Z-
dc.date.available2017-08-14T06:26:01Z-
dc.date.issued2017-
dc.identifier.citationFrontiers in Plant Science, 8: 1105en_US
dc.identifier.issn1664-462X-
dc.identifier.urihttp://59.163.192.83:8080/jspui/handle/123456789/777-
dc.descriptionAccepted date: 07 June 2017en_US
dc.description.abstractIdentification of functionally relevant potential genomic loci using an economical, simpler and user-friendly genomics-assisted breeding strategy is vital for rapid genetic dissection of complex flowering time quantitative trait in chickpea. A high-throughput multiple QTL-seq strategy was employed in two inter (Cicer arietinum desi accession ICC 4958 × C reticulatum wild accession ICC 17160)- and intra (ICC 4958 × C. arietinum kabuli accession ICC 8261)-specific RIL mapping populations to identify the major QTL genomic regions governing flowering time in chickpea. The whole genome resequencing discovered 1635117 and 592486 SNPs exhibiting differentiation between early- and late-flowering mapping parents and bulks, constituted by pooling the homozygous individuals of extreme flowering time phenotypic trait from each of two aforesaid RIL populations. The multiple QTL-seq analysis using these mined SNPs in two RIL mapping populations narrowed-down two longer (907.1 kb and 1.99 Mb) major flowering time QTL genomic regions into the high-resolution shorter (757.7 kb and 1.39 Mb) QTL intervals on chickpea chromosome 4. This essentially identified regulatory as well as coding (non-synonymous/synonymous) novel SNP allelic variants from two efl1 (early flowering 1) and GI (GIGANTEA) genes regulating flowering time in chickpea. Interestingly, strong natural allelic diversity reduction (88-91%) of two known flowering genes especially mapped at major QTL intervals as compared to that of background genomic regions (where no flowering time QTLs were mapped; 61.8%) in cultivated vis-à-vis wild Cicer gene pools was evident inferring the significant impact of evolutionary bottlenecks on these loci during chickpea domestication. Higher association potential of coding non-synonymous and regulatory SNP alleles mined from efl1 (36-49%) and GI (33-42%) flowering genes for early and late flowering time differentiation among chickpea accessions was evident. The robustness and validity of two functional allelic variants-containing genes localized at major flowering time QTLs was apparent by their identification from multiple intra-/inter-specific mapping populations of chickpea. The functionally relevant molecular tags delineated can be of immense use for deciphering the natural allelic diversity-based domestication pattern of flowering time and expediting genomics-aided crop improvement to develop early flowering cultivars of chickpea.en_US
dc.description.sponsorshipThe financial support by the Department of Biotechnology (DBT), Government of India to NIPGR is acknowledged.en_US
dc.language.isoen_USen_US
dc.publisherFrontiers Media S.A.en_US
dc.subjectQTLen_US
dc.subjectSNPen_US
dc.subjectchickpeaen_US
dc.subjectflowering timeen_US
dc.subjectmultiple QTL-seqen_US
dc.titleA multiple QTL-Seq strategy delineates potential genomic loci governing flowering time in chickpeaen_US
dc.typeArticleen_US
dc.identifier.officialurlhttp://journal.frontiersin.org/article/10.3389/fpls.2017.01105/fullen_US
dc.identifier.doihttps://doi.org/10.3389/fpls.2017.01105en_US
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