ArticlePlant biotechnology journal2020
Nested-association mapping (NAM)-based genetic dissection uncovers candidate genes for seed and pod weights in peanut (Arachis hypogaea).
Article in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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Who cites it
63 citing papers in PubMed, 128 citations in OpenAlex.
- An IRAT109 NAM population: Genetic characterization and mapping utility for trait dissection in japonica rice (Oryza sativa L.).The plant genome · 2026Article
- NAM-BSA: A Bulked Segregant Analysis Method Using a NAM Population.Plants (Basel, Switzerland) · 2026Article
- Comparative proteomics analysis of wild and cultivated accessions reveals key candidate proteins associated with seed weight variations in peanut.BMC plant biology · 2026Article
- Article
- Construction of an introgression line population for cultivated peanut (Frontiers in plant science · 2026Article
- Advancing anthracnose resistance in dry beans through the transition from traditional to computational breeding efforts.Frontiers in plant science · 2026Review
- Genome wide association study uncovers significant SNPs and candidate genes for kernel grades in groundnut (Arachis hypogaea L.).BMC genomics · 2025Article
- Identification of high blanchability donors, candidate genes and markers in groundnut.BMC plant biology · 2025Article
- Dissecting the genomic regions, candidate genes and pathways using multi-locus genome-wide association study for stem rot disease resistance in groundnut.The plant genome · 2025Article
- Genome-wide association analysis in peanut accessions uncovers the genetic basis regulating oil and fatty acid variation.BMC plant biology · 2025Article
- Pangenome analysis reveals structural variation associated with seed size and weight traits in peanut.Nature genetics · 2025Article
- Article
- Multi-locus genome wide association study uncovers genetics of fresh seed dormancy in groundnut.BMC plant biology · 2024Article
- Using cross-country datasets for association mapping in Arachis hypogaea L.The plant genome · 2024Article
- Dissecting genomic regions and underlying candidate genes in groundnut MAGIC population for drought tolerance.BMC plant biology · 2024Article
- Co-localization of quantitative trait loci for pod and kernel traits and development of molecular marker for kernel weight on chromosome Arahy05 in peanut (Arachis hypogaea L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Chloroplast and whole-genome sequencing shed light on the evolutionary history and phenotypic diversification of peanuts.Nature genetics · 2024Article
- ScRNA-seq reveals dark- and light-induced differentially expressed gene atlases of seedling leaves in Arachis hypogaea L.Plant biotechnology journal · 2024Article
- Aspergillus flavus pangenome (AflaPan) uncovers novel aflatoxin and secondary metabolite associated gene clusters.BMC plant biology · 2024Article
- Genome-wide association study and development of molecular markers for yield and quality traits in peanut (Arachis hypogaea L.).BMC plant biology · 2024Article
3 more citing papers are in PubMed but not listed here.
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Authors and funding
13 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiparental genetic mapping populations such as nested-association mapping (NAM) have great potential for investigating quantitative traits and associated genomic regions leading to rapid discovery of candidate genes and markers. To demonstrate the utility and power of this approach, two NAM populations, NAM_Tifrunner and NAM_Florida-07, were used for dissecting genetic control of 100-pod weight (PW) and 100-seed weight (SW) in peanut. Two high-density SNP-based genetic maps were constructed with 3341 loci and 2668 loci for NAM_Tifrunner and NAM_Florida-07, respectively. The quantitative trait locus (QTL) analysis identified 12 and 8 major effect QTLs for PW and SW, respectively, in NAM_Tifrunner, and 13 and 11 major effect QTLs for PW and SW, respectively, in NAM_Florida-07. Most of the QTLs associated with PW and SW were mapped on the chromosomes A05, A06, B05 and B06. A genomewide association study (GWAS) analysis identified 19 and 28 highly significant SNP-trait associations (STAs) in NAM_Tifrunner and 11 and 17 STAs in NAM_Florida-07 for PW and SW, respectively. These significant STAs were co-localized, suggesting that PW and SW are co-regulated by several candidate genes identified on chromosomes A05, A06, B05, and B06. This study demonstrates the utility of NAM population for genetic dissection of complex traits and performing high-resolution trait mapping in peanut.
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