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DC Field | Value | Language |
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dc.contributor.author | Srivastava, Rishi | - |
dc.contributor.author | Upadhyaya, Hari D. | - |
dc.contributor.author | Kumar, Rajendra | - |
dc.contributor.author | Daware, Anurag | - |
dc.contributor.author | Basu, Udita | - |
dc.contributor.author | Shimray, Philanim W. | - |
dc.contributor.author | Tripathi, Shailesh | - |
dc.contributor.author | Bharadwaj, Chellapilla | - |
dc.contributor.author | Tyagi, Akhilesh K. | - |
dc.contributor.author | Parida, Swarup K. | - |
dc.date.accessioned | 2017-08-14T06:26:01Z | - |
dc.date.available | 2017-08-14T06:26:01Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Frontiers in Plant Science, 8: 1105 | en_US |
dc.identifier.issn | 1664-462X | - |
dc.identifier.uri | http://59.163.192.83:8080/jspui/handle/123456789/777 | - |
dc.description | Accepted date: 07 June 2017 | en_US |
dc.description.abstract | Identification 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.sponsorship | The financial support by the Department of Biotechnology (DBT), Government of India to NIPGR is acknowledged. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Frontiers Media S.A. | en_US |
dc.subject | QTL | en_US |
dc.subject | SNP | en_US |
dc.subject | chickpea | en_US |
dc.subject | flowering time | en_US |
dc.subject | multiple QTL-seq | en_US |
dc.title | A multiple QTL-Seq strategy delineates potential genomic loci governing flowering time in chickpea | en_US |
dc.type | Article | en_US |
dc.identifier.officialurl | http://journal.frontiersin.org/article/10.3389/fpls.2017.01105/full | en_US |
dc.identifier.doi | https://doi.org/10.3389/fpls.2017.01105 | en_US |
Appears in Collections: | Institutional Publications |
Files in This Item:
File | Description | Size | Format | |
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Parida SK_2017_4.pdf | 1.74 MB | Adobe PDF | View/Open |
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