A genome-wide scan study identifies a single nucleotide substitution in ASIP associated with white versus non-white coat-colour variation in sheep ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-02

AUTHORS

M-H Li, T Tiirikka, J Kantanen

ABSTRACT

In sheep, coat colour (and pattern) is one of the important traits of great biological, economic and social importance. However, the genetics of sheep coat colour has not yet been fully clarified. We conducted a genome-wide association study of sheep coat colours by genotyping 47 303 single-nucleotide polymorphisms (SNPs) in the Finnsheep population in Finland. We identified 35 SNPs associated with all the coat colours studied, which cover genomic regions encompassing three known pigmentation genes (TYRP1, ASIP and MITF) in sheep. Eighteen of these associations were confirmed in further tests between white versus non-white individuals, but none of the 35 associations were significant in the analysis of only non-white colours. Across the tests, the s66432.1 in ASIP showed significant association (P=4.2 × 10(-11) for all the colours; P=2.3 × 10(-11) for white versus non-white colours) with the variation in coat colours and strong linkage disequilibrium with other significant variants surrounding the ASIP gene. The signals detected around the ASIP gene were explained by differences in white versus non-white alleles. Further, a genome scan for selection for white coat pigmentation identified a strong and striking selection signal spanning ASIP. Our study identified the main candidate gene for the coat colour variation between white and non-white as ASIP, an autosomal gene that has been directly implicated in the pathway regulating melanogenesis. Together with ASIP, the two other newly identified genes (TYRP1 and MITF) in the Finnsheep, bordering associated SNPs, represent a new resource for enriching sheep coat-colour genetics and breeding. More... »

PAGES

122

References to SciGraph publications

  • 2010-09. Variations in the Coding Region of the Agouti Signaling Protein Gene Do Not Explain Agouti/Non-agouti Phenotypes in Macaques in JOURNAL OF MAMMALIAN EVOLUTION
  • 2008-08. Isolated populations and complex disease gene identification in GENOME BIOLOGY
  • 2004-03. Domestic-animal genomics: deciphering the genetics of complex traits in NATURE REVIEWS GENETICS
  • 2000-12. Use of population isolates for mapping complex traits in NATURE REVIEWS GENETICS
  • 2008-08. A cis-acting regulatory mutation causes premature hair graying and susceptibility to melanoma in the horse in NATURE GENETICS
  • 2001-06. Mutations in the agouti (ASIP), the extension (MC1R), and the brown (TYRP1) loci and their association to coat color phenotypes in horses (Equus caballus) in MAMMALIAN GENOME
  • 2004-10. Characterization of the dog Agouti gene and a nonagoutimutation in German Shepherd Dogs in MAMMALIAN GENOME
  • 2001-02. Genetic dissection of phenotypic diversity in farm animals in NATURE REVIEWS GENETICS
  • 2007-12. Genetic determinants of hair, eye and skin pigmentation in Europeans in NATURE GENETICS
  • 2010-06. Extensive linkage disequilibrium in a wild bird population in HEREDITY
  • 1994-10. Agouti protein is an antagonist of the melanocyte-stimulating-hormone receptor in NATURE
  • 2008-12. LOSITAN: A workbench to detect molecular adaptation based on a Fst-outlier method in BMC BIOINFORMATICS
  • 2009-09. Genome-Wide Association Study of Tanning Phenotype in a Population of European Ancestry in JOURNAL OF INVESTIGATIVE DERMATOLOGY
  • 2010-12. A genome-wide SNP-association study confirms a sequence variant (g.66493737C>T) in the equine myostatin (MSTN) gene as the most powerful predictor of optimum racing distance for Thoroughbred racehorses in BMC GENOMICS
  • 2006-08. Principal components analysis corrects for stratification in genome-wide association studies in NATURE GENETICS
  • 2010-02. The genetic basis of recessive self-colour pattern in a wild sheep population in HEREDITY
  • 2010-11. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index in NATURE GENETICS
  • 2007-07. A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer in NATURE GENETICS
  • 2010-12. A microsatellite-based analysis for the detection of selection on BTA1 and BTA20 in northern Eurasian cattle (Bos taurus) populations in GENETICS SELECTION EVOLUTION
  • 2007-07. Using comparative genomics to reorder the human genome sequence into a virtual sheep genome in GENOME BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/hdy.2013.83

    DOI

    http://dx.doi.org/10.1038/hdy.2013.83

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/24022497


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