2014
DOI: 10.1186/1297-9686-46-4
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Identification of a major locus interacting with MC1R and modifying black coat color in an F2 Nellore-Angus population

Abstract: BackgroundIn cattle, base color is assumed to depend on the enzymatic activity specified by the MC1R locus, i.e. the extension locus, with alleles coding for black (E D ), red (e), and wild-type (E + ). In most mammals, these alleles are presumed to follow the dominance model of E D  > E +  > e, although exceptions are found. In Bos indicus x Bos taurus F2 cattle, some E D E + heterozygotes are discordant with the dominance series for MC1R and display various degrees of red pigmentation on an otherwise predic… Show more

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Cited by 26 publications
(15 citation statements)
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“…First, we obtained a preliminary genomic localization of the RTS locus by genome-wide quantitative trait loci (QTL) analyses as described by Hanna et al [ 18 ]. We fitted additive and additive-dominant linear regression models within the GRIDQTL software package [ 19 ] to identify regions that affect hair malformation i.e.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…First, we obtained a preliminary genomic localization of the RTS locus by genome-wide quantitative trait loci (QTL) analyses as described by Hanna et al [ 18 ]. We fitted additive and additive-dominant linear regression models within the GRIDQTL software package [ 19 ] to identify regions that affect hair malformation i.e.…”
Section: Methodsmentioning
confidence: 99%
“…Subsequently, we also included the genotypes at the extension and dilution loci as fixed effects to account for potential interactions between the RTS locus and these two loci. Linkage analyses were conducted on the 6k genotyping data in 1 cM steps based on the physical positions of SNPs according to the UMD3.1 assembly of the B. taurus genome [ 20 ] and the simplistic assumption that 1 cM ~1 Mb as in [ 18 ]. Chromosome- and genome-wide significance thresholds were determined by data permutations with 10,000 replicates and 95 % confidence intervals were obtained based on 10,000 bootstrap samples.…”
Section: Methodsmentioning
confidence: 99%
“…The KIT (the Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog) gene, which is centered in the CSS interval (71.796–71.917 Mb), explains a considerable proportion of the variation in patterned pigmentation (Hayes et al, 2010 ), such as the characteristic spotting phenotype of Holstein and other dairy breeds. Close to the KIT gene, at 71.374–71.421 Mb, PDGFRA (platelet-derived growth factor alpha receptor), has recently been identified as the strongest positional candidate for the non- MC1R -related reddening phenotype in an F2 Nellore-Angus population (Hanna et al, 2014 ). Other coat color genes were also located in Multi-breed CSSs.…”
Section: Plausible Candidate Genes Underlying Css Regionsmentioning
confidence: 99%
“…To support this, several recessive genetic loss-of-function variants in the MC1R gene increase the risk of developing cutaneous melanoma [43] and have been found to be associated to phenotypic features related to sun sensitivity in European populations [44].The high signal in region 2, located on OAR 6, harbored the KIT and platelet derived growth factor receptor alpha PDGFRA genes, which are implicated and interact in the functional pathway of coat color in different mammals. For example, the gene complexes KDR, KIT, and PDGFRA were found to be associated with the reddening coat color pattern in Angus cattle [45]. In addition, KIT and PDGFRA were assumed to play important roles in determining white-coat color in Iranian goats [46].…”
Section: High Signals Of Selection In Pigmentation Candidate Genesmentioning
confidence: 99%