ArticleBMC genomics2019
Evaluation of linkage disequilibrium, population structure, and genetic diversity in the U.S. peanut mini core collection.
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Association mapping integrated with image-based phenomics identifies SNPs and candidate genes underpinning fruit morphology and development in chile pepper (Capsicum annum L.).G3 (Bethesda, Md.) · 2026Article
- Genetic regulation of major immunogenic protein accumulation in peanut seeds.Functional & integrative genomics · 2026Article
- Identification and genomic location of resistance to bacterial leaf streak of barley.The plant genome · 2026Article
- Whole genome-wide association study reveals genetic insights into leaf spot disease resistances and seed germination/dormancy in peanut.Frontiers in plant science · 2026Article
- Genome-wide association study of a Guinea grass (Megathyrsus maximus) diversity panel reveals the genetic basis of agronomic and nutritional traits.BMC plant biology · 2025Article
- Genome wide association study uncovers significant SNPs and candidate genes for kernel grades in groundnut (Arachis hypogaea L.).BMC genomics · 2025Article
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- Discovering leaf and stripe rust resistance in soft red winter wheat through genome-wide association studies.The plant genome · 2025Article
- A comprehensive catalog of single nucleotide polymorphisms (SNPs) from the black pepper (Piper nigrum L.) genome.BMC genomics · 2025Article
- Role of functional genes for seed vigor related traits through genome-wide association mapping in finger millet (Eleusine coracana L. Gaertn.).Scientific reports · 2025Article
- Exploring the diversity of three Northern Atlantic sea beet populations.Frontiers in plant science · 2025Article
- Integrative genomic and transcriptomic dissection of salt tolerance forFrontiers in plant science · 2025Article
- Population structure and genetic diversity of a coffee germplasm collection in China revealed by RAD-seq.Frontiers in plant science · 2025Article
- Exploring the genetic diversity and population structure of an ancient hexaploid wheat species Triticum sphaerococcum using SNP markers.BMC plant biology · 2024Article
- Using cross-country datasets for association mapping in Arachis hypogaea L.The plant genome · 2024Article
- Chloroplast and whole-genome sequencing shed light on the evolutionary history and phenotypic diversification of peanuts.Nature genetics · 2024Article
- Genetic Dissection of Diverse Seed Coat Patterns in Cowpea through a Comprehensive GWAS Approach.Plants (Basel, Switzerland) · 2024Article
- Approximate Bayesian computational methods to estimate the strength of divergent selection in population genomics models.Journal of Computational Mathematics and Data Science · 2024Article
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14 authors.
Funding
Abstract
backgroundDue to the recent domestication of peanut from a single tetraploidization event, relatively little genetic diversity underlies the extensive morphological and agronomic diversity in peanut cultivars today. To broaden the genetic variation in future breeding programs, it is necessary to characterize germplasm accessions for new sources of variation and to leverage the power of genome-wide association studies (GWAS) to discover markers associated with traits of interest. We report an analysis of linkage disequilibrium (LD), population structure, and genetic diversity, and examine the ability of GWA to infer marker-trait associations in the U.S. peanut mini core collection genotyped with a 58 K SNP array.
resultsLD persists over long distances in the collection, decaying to r
conclusionsBased on GWA, population structure as well as additional simulation results, we find that the primary limitations of this collection for GWAS are a small collection size, significant remaining structure/genetic similarity and long LD blocks that limit the resolution of association mapping. These results can be used to improve GWAS in peanut in future studies - for example, by increasing the size and reducing structure in the collections used for GWAS.
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