ArticleScientific reports2025
Population genomic analysis identifies the complex structural variation at the fibromelanosis (FM) locus in chicken.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Tandem duplication upstream ofiScience · 2026Article
- Ultrarapid MC1R protein and associated plumage color evolution in the domestic chicken.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Haplotype-resolved genome and pan-genome graphs reveal the impacts of structural variation on functional genome and feather colors in chickens.iMetaOmics · 2025Article
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2 authors.
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Abstract
Phenotypic diversity and its genetic basis are central questions in biology, with domesticated animals offering valuable insights due to their rapid evolution the last 10,000 years. In chickens, fibromelanosis (FM) is a striking pigmentation phenotype characterized by hyperpigmentation. A previous study identified a complex structural variant involving both two large duplications (127.4 and 170.5 kb in size) and inversions associated with upregulated expression of the Endothelin 3 (EDN3) gene. However, the detailed organization of the structural arrangements have remained unclear. In this study, we conducted a comprehensive genomic survey of 517 FM chickens representing 44 different populations. Our results elucidate the complex arrangement of the duplications and inversions at the FM locus based on the large-scale genomic survey, population level genotyping, and linkage disequilibrium analysis, providing conclusive support for one specific configuration of the two large duplications, resolving a controversy that has been unresolved for more than a decade. Our results show that the birth of this complex structural variant must have involved an interchromosomal rearrangement creating fixed heterozygosity due to sequence differences between the two copies of the 127.4 kb duplication. This study shows how population genomics can be used to understand complex structural variations that underlie phenotypic variation.
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