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<p>Lentil (<i>Lens culinaris</i> Medik.), a nutrient-rich legume cultivated worldwide, plays a vital role in combating malnutrition and hidden hunger. Understanding the genetic architecture underlying key phenological and agronomic traits in lentil is crucial for accelerating molecular breeding. In this study, genome-wide association mapping was conducted using 142 genetically diverse lentil accessions, evaluated across two field environments over two years. High-throughput sequencing generated 34,995 high-quality single-nucleotide polymorphisms, which were used for genetic characterization and for the identification of marker-trait associations for phenological and yield-associated traits. Population structure analysis identified three subpopulations (K = 3), with UPGMA clustering showing a similar pattern. Association mapping was performed using multi-locus models and further confirmed through a single-locus generalized linear model. A total of 64 significant associations were identified, of which Chr5_342836807 and Chr6_200603138 were consistently detected across all environments for days to 50% flowering. Putative candidate genes located near these phenology-associated loci such as abscisate β-glucosyltransferase, pentatricopeptide repeat proteins, and transcription factors from the <i>MYB</i>, <i>MADS-box</i>, and <i>GRAS</i> families are likely involved in flowering-time regulation in lentil. These findings reveal novel associations between genetic variants and complex traits and identify putative genes that may be exploited in marker-assisted selection and genomic prediction strategies.</p>

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Genomic dissection of phenological and yield-associated traits in lentil (Lens culinaris Medik.) using genome-wide association mapping

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月7日

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  • Yogesh Dashrath Naik,
  • Vinay Kumar Sharma,
  • Muraleedhar S. Aski,
  • K. M. Shivaprasad,
  • Mangesh Pralhad Jadhav,
  • Manda Sriswathi,
  • Damaris A. Odeny,
  • Kumari Anjani,
  • Somashekhar Punnuri,
  • Rajeev K. Varshney,
  • Himabindu Kudapa,
  • Mahendar Thudi

摘要

Lentil (Lens culinaris Medik.), a nutrient-rich legume cultivated worldwide, plays a vital role in combating malnutrition and hidden hunger. Understanding the genetic architecture underlying key phenological and agronomic traits in lentil is crucial for accelerating molecular breeding. In this study, genome-wide association mapping was conducted using 142 genetically diverse lentil accessions, evaluated across two field environments over two years. High-throughput sequencing generated 34,995 high-quality single-nucleotide polymorphisms, which were used for genetic characterization and for the identification of marker-trait associations for phenological and yield-associated traits. Population structure analysis identified three subpopulations (K = 3), with UPGMA clustering showing a similar pattern. Association mapping was performed using multi-locus models and further confirmed through a single-locus generalized linear model. A total of 64 significant associations were identified, of which Chr5_342836807 and Chr6_200603138 were consistently detected across all environments for days to 50% flowering. Putative candidate genes located near these phenology-associated loci such as abscisate β-glucosyltransferase, pentatricopeptide repeat proteins, and transcription factors from the MYB, MADS-box, and GRAS families are likely involved in flowering-time regulation in lentil. These findings reveal novel associations between genetic variants and complex traits and identify putative genes that may be exploited in marker-assisted selection and genomic prediction strategies.