Please use this identifier to cite or link to this item: http://223.31.159.10:8080/jspui/handle/123456789/1537
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMohanty, Jitendra K.-
dc.contributor.authorJha, Uday Chand-
dc.contributor.authorDixit, G. P.-
dc.contributor.authorBharadwaj, Chellapilla-
dc.contributor.authorParida, Swarup K.-
dc.date.accessioned2023-10-30T09:04:58Z-
dc.date.available2023-10-30T09:04:58Z-
dc.date.issued2024-
dc.identifier.citationPlant Molecular Biology Reporter, (In Press)en_US
dc.identifier.issn1572-9818-
dc.identifier.issn0735-9640-
dc.identifier.otherhttps://doi.org/10.1007/s11105-023-01411-8-
dc.identifier.urihttps://link.springer.com/article/10.1007/s11105-023-01411-8-
dc.identifier.urihttp://223.31.159.10:8080/jspui/handle/123456789/1537-
dc.descriptionAccepted date: 16 September 2023en_US
dc.description.abstractWe developed a combinatorial next generation sequencing (NGS)-based high-throughput expression QTL-seq (eQTL-seq) strategy for rapid elucidation of complex genetic architecture and regulatory pathways of gene expression underlying quantitative trait variation in crop plants. This high-resolution genome-wide integrative genetical genomics strategy assists us to delineate functionally relevant molecular tags (QTLs/eQTLs, genes, master regulators/transcription factors, and alleles) regulating vital agronomic traits in order to expedite genomics-assisted breeding and crop improvement. As a proof-of-concept, the optimized eQTL-seq-led genetical genomics approach was employed in 192 mapping individuals of an intra-specific recombinant inbred line (RIL) population (desi accession ICC 4958 x kabuli accession ICC 12968) with contrasting seed weight trait. This led to identification and mapping of high-resolution major QTLs/eQTLs associated with seed weight based on genome resequence-derived genomic SNP-index (Delta(gSNP-index)), global transcriptome sequence-based expression SNP-index (Delta(eSNP-index)), and relative gene expression (RGE)-index (Delta(RGE-index)). The eQTL-seq scaled down the major seed weight QTLs/eQTLs into the potential candidate gene(s) governing cis- and trans-regulated expression to decipher the gene regulatory modules controlling complex quantitative seed weight trait by deriving global allele-specific gene expression polymorphism in chickpea. Henceforth, the efficacy of NGS-driven integrative eQTL-seq strategy as compared to traditional QTL mapping, fine-mapping (map-based cloning), and QTL-seq approaches that are widely adopted for delineation of candidate genes underlying major QTLs was evident in chickpea. This will further accelerate quantitative dissection of regulatory architecture by decoding the molecular genetic basis of gene expression variation controlling diverse complex phenotypic trait diversity in chickpea and other crop plants as well.en_US
dc.description.sponsorshipThe authors gratefully acknowledge the Rishi Srivastava for assisting in analyzing and constructing the QTLseq plots. The authors gratefully acknowledge the financial support for this study provided by a research grant of Bioscience Career Development Award Project ((BT/HRD/NBA-NWB/39/2020–21(10)) from the Department of Biotechnology (DBT), Government of India.en_US
dc.language.isoen_USen_US
dc.publisherSpringer Nature Publishing AGen_US
dc.subjectChickpeaen_US
dc.subjectCiceren_US
dc.subjecteQTLen_US
dc.subjectQTLen_US
dc.subjecteQTL-seqen_US
dc.subjectQTL-seqen_US
dc.subjectSeed weighten_US
dc.subjectSNPen_US
dc.titleeQTL-seq: a rapid genome-wide integrative genetical genomics strategy to dissect complex regulatory architecture of gene expression underlying quantitative trait variation in crop plantsen_US
dc.typeArticleen_US
Appears in Collections:Institutional Publications

Files in This Item:
File Description SizeFormat 
Parida SK_2023_6.pdf
  Restricted Access
2.86 MBAdobe PDFView/Open Request a copy


Items in IR@NIPGR are protected by copyright, with all rights reserved, unless otherwise indicated.