ArticleBMC plant biology2025
Genome-wide association mapping and haplotype analysis reveal genetic architecture of seed fatty acid compositions in 1,550 diverse soybean accessions.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Understanding the genetic architecture of soybean seed fatty acid (FA) compositions to enhance oil quality is crucial for nutritional value and industrial applications. This study elucidates the genomic determinants of seed FA composition in soybean (Glycine max [L.] Merr.) through comprehensive genome-wide association study (GWAS) analysis utilizing 1,550 diverse soybean accessions evaluated across five distinct environmental conditions. The phenotypic evaluation revealed significant genetic variability and environmental influences on the biosynthetic process of five essential FAs: palmitic (PA), stearic (SA), oleic (OA), linoleic (LA), and linolenic acid (LNA). High-throughput genomic association mapping identified 110,964 significant SNP-trait associations encompassing 18,841 putative genes. Notable genetic loci included chromosome 5 and 17 harboring GmFATB1A and GmFATB1B for PA biosynthesis; chromosome 2 and 8 containing Glyma.02G161200 and Glyma.08G279700 associated with SA regulation; chromosomes 10, 13, and 20 with GmKCS21, GmKAS2, and GmFAD2 affecting OA concentration; chromosomes 10 and 13 with GmKCS21 and GmKAS2 influencing LA content; and chromosome 14 containing GmFAD3 controlling LNA biosynthesis. Functional annotation through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed significant overrepresentation of lipid metabolic processes, particularly glycerolipid metabolic pathways. The haplotype characterization of three key regulatory genes GmKCS21, GmFAD2, and GmFAD3 revealed distinct geographic distribution patterns across the northern region, Huang-Huai-Hai region, and southern ecoregions of China, with varying allelic frequencies between improved cultivars and landraces, reflecting adaptive evolution and selection pressure during domestication and enhancement. This study provides a comprehensive genetic resource of 110,964 SNP-trait associations and functionally characterized haplotypes of key regulatory genes (GmKCS21, GmFAD2, and GmFAD3) that demonstrate ecoregion-specific allele frequency patterns, enabling marker-assisted selection strategies tailored to those soybean production ecoregions.
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