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

Naik, Y D and Sharma, V K and Aski, M S and Shivaprasad, K M and Jadhav, M P and Sriswathi, M and Odeny, D A and Anjani, K and Punnuri, S and Varshney, R K and Kudapa, H and Thudi, M (2026) Genomic dissection of phenological and yield-associated traits in lentil (Lens culinaris Medik.) using genome-wide association mapping. Physiology and Molecular Biology of Plants, 32. pp. 839-855. ISSN 0971-5894

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Abstract

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.

Item Type: Article
Divisions: Global Research Program - Accelerated Crop Improvement
CRP: UNSPECIFIED
Uncontrolled Keywords: Flowering time, GWAS, Lentil, Marker–trait associations, MYB transcription factor, SNPs
Subjects: Others > Genetics and Genomics
Depositing User: Mr Nagaraju T
Date Deposited: 07 May 2026 08:55
Last Modified: 07 May 2026 08:55
URI: http://oar.icrisat.org/id/eprint/13622
Official URL: https://link.springer.com/article/10.1007/s12298-0...
Projects: UNSPECIFIED
Funders: Dr. Rajendra Prasad Central Agricultural University, University of Southern Queensland
Acknowledgement: Mahendar Thudi acknowledges financial support from Dr. Rajendra Prasad Central Agricultural University, Pusa, Bihar and University of Southern Queensland, Australia. Yogesh Dashrath Naik sincerely expresses gratitude to the Department of Biotechnology (DBT), Government of India, for their generous financial support through the Junior Research Fellowship (JRF) program during PhD research. Rajeev K. Varshney thanks the Grains Research & Development Corporation (UMU2403-009RTX and UMU2303-003RTX) for supporting this study.
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