ArticleScientific reports2021
Genetic diversity analysis of Korean peanut germplasm using 48 K SNPs 'Axiom_Arachis' Array and its application for cultivar differentiation.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Genetic diversity of grain yield traits and identification of a grain weight gene SiTGW6 in foxtail millet.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- The groundnut improvement network for Africa (GINA) germplasm collection: a unique genetic resource for breeding and gene discovery.G3 (Bethesda, Md.) · 2023Article
- Development and evaluation of the utility of GenoBaits Peanut 40K for a peanut MAGIC population.Molecular breeding : new strategies in plant improvement · 2023Article
- Genetic mapping identifies genomic regions and candidate genes for seed weight and shelling percentage in groundnut.Frontiers in genetics · 2023Article
- Assessment of genetic diversity and SNP marker development within peanut germplasm in Taiwan by RAD-seq.Scientific reports · 2022Article
- BSA‑seq and genetic mapping reveals AhRt2 as a candidate gene responsible for red testa of peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Review
- High-Density Genetic Variation Map Reveals Key Candidate Loci and Genes Associated With Important Agronomic Traits in Peanut.Frontiers in genetics · 2022Article
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9 authors.
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Abstract
Cultivated peanut (Arachis hypogaea) is one of the important legume oilseed crops. Cultivated peanut has a narrow genetic base. Therefore, it is necessary to widen its genetic base and diversity for additional use. The objective of the present study was to assess the genetic diversity and population structure of 96 peanut genotypes with 9478 high-resolution SNPs identified from a 48 K 'Axiom_Arachis' SNP array. Korean set genotypes were also compared with a mini-core of US genotypes. These sets of genotypes were used for genetic diversity analysis. Model-based structure analysis at K = 2 indicated the presence of two subpopulations in both sets of genotypes. Phylogenetic and PCA analysis clustered these genotypes into two major groups. However, clear genotype distribution was not observed for categories of subspecies, botanical variety, or origin. The analysis also revealed that current Korean genetic resources lacked variability compared to US mini-core genotypes. These results suggest that Korean genetic resources need to be expanded by creating new allele combinations and widening the genetic pool to offer new genetic variations for Korean peanut improvement programs. High-quality SNP data generated in this study could be used for identifying varietal contaminant, QTL, and genes associated with desirable traits by performing mapping, genome-wide association studies.
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