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        <dc:title>Deploying QTL-seq for rapid delineation of a potential candidate gene underlying major trait-associated QTL in chickpea</dc:title>
        <dc:creator>Das, S</dc:creator>
        <dc:creator>Upadhyaya, H D</dc:creator>
        <dc:creator>Bajaj, D</dc:creator>
        <dc:creator>Kujur, A</dc:creator>
        <dc:creator>Badoni, S</dc:creator>
        <dc:creator>Laxmi, A</dc:creator>
        <dc:creator>Kumar, V</dc:creator>
        <dc:creator>Tripathi, S</dc:creator>
        <dc:creator>Laxmipathi Gowda, C L</dc:creator>
        <dc:creator>Sharma, S</dc:creator>
        <dc:creator>Singh, S</dc:creator>
        <dc:creator>Tyagi, A K</dc:creator>
        <dc:creator>Parida, S K</dc:creator>
        <dc:subject>Chickpea</dc:subject>
        <dc:description>A rapid high-resolution genome-wide strategy for molecular mapping of major QTL(s)/gene(s) regulating important agronomic traits is vital for in-depth dissection of complex quantitative traits and genetic enhancement in chickpea. The present study for the ﬁrst time employed a NGS-based whole-genomeQTL-seq strategy to identify one major genomic region harbouring a robust 100- seed weight QT Lusinganintra-speciﬁc 221 chickpea mapping population (desicv.ICC7184×desicv.ICC 15061). The QTL-seq-derived major SW QTL (CaqSW1.1) was further validated by single-nucleotide polymorphism (SNP) and simple sequence repeat (SSR) marker-based traditional QTL mapping (47.6% R2 at higher LOD &gt;19). This reﬂects the reliability and efﬁcacy of QTL-seq as a strategy for rapid genome-wide scanning and ﬁne mapping of major trait regulatory QTLs in chickpea. The use of QTL-seq and classical QTL mapping in combination narrowed down the 1.37 Mb (comprising 177genes) major SWQTL (CaqSW1.1) regionintoa 35 kb genomic intervalondesi chickpea chromosome 1 containing six genes. One coding SNP (G/A)-carrying constitutive photomorphogenic 9 (COP9) signalo some complex subunit  (CSN8) gene of the see xhibited seed-speciﬁc expression, including pronounced differential up-/down-regulation in low and high seed weight mapping parents and homo zygous individuals duringseed development.The coding SNP mined in this potential seed weight- governing candidate CSN8 genewas found to be present exclusively in all cultivated species/ genotypes, but notin any wild species/genotypes of primary, secondary and tertiary gene pools.This indicates the effect of strong artiﬁcial and/or natural selection pressure on target SW locus during chickpea domestication. The proposed QTL-seq-driven integrated genome-wide strategy has potential to delineate major candidate gene(s) harbouring a robust trait regulatory QTL rapidly with optimal use of resources. This will further assist us to extrapolate the molecular mechanism underlying complex quantitative traits at a genome-wide scale leading to fast-paced marker-assisted genetic improvement in diverse crop plants, including chickpea.</dc:description>
        <dc:publisher>Oxford University Press</dc:publisher>
        <dc:date>2015-04</dc:date>
        <dc:type>Article</dc:type>
        <dc:type>PeerReviewed</dc:type>
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        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/8694/1/DNA%20Res-2015-Das-dnares-dsv004.pdf</dc:identifier>
        <dc:identifier>  Das, S and Upadhyaya, H D and Bajaj, D and Kujur, A and Badoni, S and Laxmi, A and Kumar, V and Tripathi, S and Laxmipathi Gowda, C L and Sharma, S and Singh, S and Tyagi, A K and Parida, S K  (2015) Deploying QTL-seq for rapid delineation of a potential candidate gene underlying major trait-associated QTL in chickpea.  DNA Research, 22 (2).  pp. 1-11.  ISSN 1340-2838     </dc:identifier>
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