Detecting the footprint of selection on the genomes of Murciano‐Granadina goats

Artificial selection is one of the major forces modifying genetic composition livestock populations. Identifying genes under could be useful to elucidate their impact on phenotypic variation. We aimed identify genomic regions targeted by for dairy and pigmentation traits in Murciano-Granadina goats. Performance a scan based integrated haplotype score test population 1183 goats resulted identification 77 candidate regions/SNPs. The most significant selective sweeps mapped chromosomes 1 (69.86 Mb), 4 (41.80–49.95 11 (65.74 12 (31.24 52.51 17 (34.76–37.67 22 (31.75 26 (26.69–31.05 Mb). By using previously generated RNA-Seq data, we built catalogue 6414 that are differentially expressed across goat lactation (i.e. 78 days post-partum, early lactation; 216 late 285 dry period). Interestingly, 183 these several them display functions related with lipid, protein, carbohydrate metabolism, insulin signaling, cell proliferation, as well mammary development involution. Of particular interest CSN3 CSN1S2 genes, which encode two milk proteins. Additionally, found three (GLI3, MC1R, MITF) co-localizing sweeps. genome-wide association study Sanger sequencing TaqMan genotyping experiments revealed c.801C>G (p.Cys267Trp) polymorphism melanocortin receptor (MC1R) gene main determinant black (GG or GC genotypes) brown (CC colorations