eQTL-seq: a rapid genome-wide integrative genetical genomics strategy to dissect complex regulatory architecture of gene expression underlying quantitative trait variation in crop plants
| dc.contributor.author | Mohanty, Jitendra K. | |
| dc.contributor.author | Jha, Uday Chand | |
| dc.contributor.author | Dixit, G. P. | |
| dc.contributor.author | Bharadwaj, Chellapilla | |
| dc.contributor.author | Parida, Swarup K. | |
| dc.date.accessioned | 2023-10-30T09:04:58Z | |
| dc.date.available | 2023-10-30T09:04:58Z | |
| dc.date.issued | 2024 | |
| dc.description | Accepted date: 16 September 2023 | en_US |
| dc.description.abstract | We 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.sponsorship | The 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.identifier.citation | Plant Molecular Biology Reporter, 42: 218-223 | en_US |
| dc.identifier.issn | 1572-9818 | |
| dc.identifier.issn | 0735-9640 | |
| dc.identifier.other | https://doi.org/10.1007/s11105-023-01411-8 | |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s11105-023-01411-8 | |
| dc.identifier.uri | https://ndkr-library.nipgr.ac.in/handle/123456789/1537 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Springer Nature Publishing AG | en_US |
| dc.subject | Chickpea | en_US |
| dc.subject | Cicer | en_US |
| dc.subject | eQTL | en_US |
| dc.subject | QTL | en_US |
| dc.subject | eQTL-seq | en_US |
| dc.subject | QTL-seq | en_US |
| dc.subject | Seed weight | en_US |
| dc.subject | SNP | en_US |
| dc.title | eQTL-seq: a rapid genome-wide integrative genetical genomics strategy to dissect complex regulatory architecture of gene expression underlying quantitative trait variation in crop plants | en_US |
| dc.type | Article | en_US |
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