{"title":"Analysis of Genomic-Transcriptomic Dynamics Delineates Key Molecular Signatures Modulating Seed Size and Weight in Lentil.","authors":"Asish Kumar Padhy, Sangeeta Singh, Kuldeep Tripathi, Swarup Kumar Parida, Sabhyata Bhatia","doi":"10.1111/pce.15671","DOIUrl":null,"url":null,"abstract":"<p><p>Delineating key genetic determinants associated with seed size/weight is crucial for increasing productivity. In this study, the advantages of an integrated approach combining QTL mapping, GWAS and transcriptomics to identify robust candidates governing seed size and weight were demonstrated in lentil, an important grain legume. QTL mapping identified three stable QTLs harbouring 5113 genes. GWAS identified 42 MTAs (5 consistent) containing 192 underlying genes. Comparative transcriptome analysis identified 1202 differentially expressed transcripts. Integrated analysis of the results obtained from QTL mapping and GWAS revealed nine SNPs located in the three robust QTLs harbouring 32 candidate genes. Upon integration with transcriptome data, only one (LcWDL1) was identified as the most promising candidate. LcWDL1 (a member of TPX2 family involved in microtubule organisation and cell expansion) and its predicted interacting partners that is, LcGLIPs are known to function as regulators of seed size. Candidate gene-based association analysis identified a SNP on second exon of LcWDL1 to be significantly associated with seed size and weight of lentil. The genomic loci/candidate gene identified in the study will serve to expedite the molecular breeding and gene editing programs for enhancing seed size and seed weight in lentils.</p>","PeriodicalId":222,"journal":{"name":"Plant, Cell & Environment","volume":" ","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant, Cell & Environment","FirstCategoryId":"2","ListUrlMain":"https://doi.org/10.1111/pce.15671","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Delineating key genetic determinants associated with seed size/weight is crucial for increasing productivity. In this study, the advantages of an integrated approach combining QTL mapping, GWAS and transcriptomics to identify robust candidates governing seed size and weight were demonstrated in lentil, an important grain legume. QTL mapping identified three stable QTLs harbouring 5113 genes. GWAS identified 42 MTAs (5 consistent) containing 192 underlying genes. Comparative transcriptome analysis identified 1202 differentially expressed transcripts. Integrated analysis of the results obtained from QTL mapping and GWAS revealed nine SNPs located in the three robust QTLs harbouring 32 candidate genes. Upon integration with transcriptome data, only one (LcWDL1) was identified as the most promising candidate. LcWDL1 (a member of TPX2 family involved in microtubule organisation and cell expansion) and its predicted interacting partners that is, LcGLIPs are known to function as regulators of seed size. Candidate gene-based association analysis identified a SNP on second exon of LcWDL1 to be significantly associated with seed size and weight of lentil. The genomic loci/candidate gene identified in the study will serve to expedite the molecular breeding and gene editing programs for enhancing seed size and seed weight in lentils.
期刊介绍:
Plant, Cell & Environment is a premier plant science journal, offering valuable insights into plant responses to their environment. Committed to publishing high-quality theoretical and experimental research, the journal covers a broad spectrum of factors, spanning from molecular to community levels. Researchers exploring various aspects of plant biology, physiology, and ecology contribute to the journal's comprehensive understanding of plant-environment interactions.