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Genetic diversity, population structure, and genome-wide association study for the flowering trait in a diverse panel of 428 moth bean (Vigna aconitifolia) accessions using genotyping by sequencing.
Yadav, Arvind Kumar; Singh, Chandan Kumar; Kalia, Rajwant K; Mittal, Shikha; Wankhede, Dhammaprakash P; Kakani, Rajesh K; Ujjainwal, Shraddha; Saroha, Ankit; Nathawat, N S; Rani, Reena; Panchariya, Pooja; Choudhary, Manoj; Solanki, Kantilal; Chaturvedi, K K; Archak, Sunil; Singh, Kuldeep; Singh, Gyanendra Pratap; Singh, Amit Kumar.
Affiliation
  • Yadav AK; ICAR- National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, Delhi, India.
  • Singh CK; ICAR- National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, Delhi, India.
  • Kalia RK; ICAR- Central Arid Zone Research Institute, Jodhpur, Rajasthan, India.
  • Mittal S; Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh, India.
  • Wankhede DP; ICAR- National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, Delhi, India. d.wankhede@icar.gov.in.
  • Kakani RK; ICAR- Central Arid Zone Research Institute, Jodhpur, Rajasthan, India.
  • Ujjainwal S; ICAR- National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, Delhi, India.
  • Aakash; ICAR- National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, Delhi, India.
  • Saroha A; ICAR- National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, Delhi, India.
  • Nathawat NS; ICAR- Central Arid Zone Research Institute, Regional Research Station, Bikaner, Rajasthan, India.
  • Rani R; ICAR- Central Arid Zone Research Institute, Jodhpur, Rajasthan, India.
  • Panchariya P; ICAR- Central Arid Zone Research Institute, Jodhpur, Rajasthan, India.
  • Choudhary M; ICAR- Central Arid Zone Research Institute, Jodhpur, Rajasthan, India.
  • Solanki K; ICAR- Central Arid Zone Research Institute, Jodhpur, Rajasthan, India.
  • Chaturvedi KK; ICAR- Indian Agricultural Statistics Research Institute, New Delhi, Delhi, India.
  • Archak S; ICAR- National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, Delhi, India.
  • Singh K; ICAR- National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, Delhi, India.
  • Singh GP; International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, Telangana, India.
  • Singh AK; ICAR- National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, Delhi, India.
BMC Plant Biol ; 23(1): 228, 2023 Apr 29.
Article in En | MEDLINE | ID: mdl-37120525
ABSTRACT

BACKGROUND:

Moth bean (Vigna aconitifolia) is an underutilized, protein-rich legume that is grown in arid and semi-arid areas of south Asia and is highly resistant to abiotic stresses such as heat and drought. Despite its economic importance, the crop remains unexplored at the genomic level for genetic diversity and trait mapping studies. To date, there is no report of SNP marker discovery and association mapping of any trait in this crop. Therefore, this study aimed to dissect the genetic diversity, population structure and marker-trait association for the flowering trait in a diversity panel of 428 moth bean accessions using genotyping by sequencing (GBS) approach.

RESULTS:

A total of 9078 high-quality single nucleotide polymorphisms (SNPs) were discovered by genotyping of 428 moth bean accessions. Model-based structure analysis and PCA grouped the moth bean accessions into two subpopulations. Cluster analysis revealed accessions belonging to the Northwestern region of India had higher variability than accessions from the other regions suggesting that this region represents its center of diversity. AMOVA revealed more variations within individuals (74%) and among the individuals (24%) than among the populations (2%). Marker-trait association analysis using seven multi-locus models including mrMLM, FASTmrEMMA FASTmrEMMA, ISIS EM-BLASSO, MLMM, BLINK and FarmCPU revealed 29 potential genomic regions for the trait days to 50% flowering, which were consistently detected in three or more models. Analysis of the allelic effect of the major genomic regions explaining phenotypic variance of more than 10% and those detected in at least 2 environments showed 4 genomic regions with significant phenotypic effect on this trait. Further, we also analyzed genetic relationships among the Vigna species using SNP markers. The genomic localization of moth bean SNPs on genomes of closely related Vigna species demonstrated that maximum numbers of SNPs were getting localized on Vigna mungo. This suggested that the moth bean is most closely related to V. mungo.

CONCLUSION:

Our study shows that the north-western regions of India represent the center of diversity of the moth bean. Further, the study revealed flowering-related genomic regions/candidate genes which can be potentially exploited in breeding programs to develop early-maturity moth bean varieties.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome-Wide Association Study / Vigna Type of study: Risk_factors_studies Language: En Journal: BMC Plant Biol Journal subject: BOTANICA Year: 2023 Type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome-Wide Association Study / Vigna Type of study: Risk_factors_studies Language: En Journal: BMC Plant Biol Journal subject: BOTANICA Year: 2023 Type: Article Affiliation country: India