ABSTRACT:Several studies have reported quantitative trait loci on chromosome 6 affecting milk production and composition traits in dairy cattle. Osteopontin (OPN) and peroxisome proliferator activated receptor-γ coactivator-1α (PPARGC1A) genes have been located on this chromosome and identified as positional candidates for milk traits. We investigated the associations of single nucleotide polymorphism (SNP) T>C at position 1892 and SNP A>C at position 3359 in PPARGC1A gene as well as SNP C>T at position 8514 in OPN gene with milk production and composition. Hence, 398 Iranian Holstein cows were genotyped through polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP). The Least Squares methods were used to examine the effects of genotypes on milk traits. The frequencies of the C allele at position 1892, A allele at position 3359, and T allele at position 8514 were 0.56, 0.64, and 0.53, respectively. In this study, c.1892T>C genotypes indicated significant associations with milk fat content adjusted for two milkings per day (FAT P2X ; %), estimated breeding value for milk (EBV M ; kg), milk protein yield adjusted for mature body weight (PRO ME ; kg), milk protein yield adjusted for 305 days (PRO 305 ; kg) (P < 0.05), and estimated breeding value for milk fat content (EBV FP ; %) (P < 0.01). There were significant associations between c.3359A>C genotypes and FAT P2X , EBV FP (P < 0.01). Moreover, significant associations were shown between c.8514C>T genotypes in OPN gene and FAT P2X (P < 0.05), and PRO PER305 (P < 0.01). Thus, these SNPs would provide an excellent opportunity for marker assisted selection programs in dairy cattle.
Genomewide association study (GWAS) is an efficient tool for the detection of SNPs and candidate genes in quantitative traits. Growth rate is an important trait for increasing the meat production in sheep. A total of 96 Baluchi sheep were genotyped using Illumina Ovine SNP50 BeadChip to run a GWAS for an average daily gain (ADG) and Kleiber ratio (KR) traits in different periods of age in sheep. Traits included were average daily gain from birth to three months (ADG), from three months to six months (ADG), from six months to nine months (ADG), from nine months to yearling (ADG), from birth to six months (ADG), from three months to nine months (ADG), from three months to yearling (ADG) and corresponding Kleiber ratios (KR, KR, KR, KR, KR, KR and KR, respectively). A total of 42,243 SNPs passed the quality-control filters and were analysed by PLINK software in a linear mixed model. Two SNPs were identified on two chromosomes at the 5% genomewide significance level for KR(3-9) and KR(6-9). Two candidate genes, namely and, were identified correspondingly harbouring and close to these QTL. Also, a total of 21 SNPs were found on chromosomes 2, 3, 5, 6, 7, 10, 17, 19, 20 and 25 at the 5% chromosomewide significance level for ADG and KR traits. Thus, we suggest more studies to discover the causative variants for growth traits in sheep.
Lamb weight at 8 months of age is an important trait in the sheep industry in terms of the onset of puberty around this age; however, knowledge of its effective genetic factors is limited. Therefore, a GWAS using the 50K SNP-Chip was performed on 96 Baluchi sheep to identify the genomic regions associated with 8-month weight. The results of the present study revealed five SNPs on chromosomes 4, 14 and 16 at 5% chromosome-wide significance level, jointly accounting for 0.95% of total genetic variance. Four genes-MTPN, HYDIN, LRGUK and ZFP90were found in 50 kb intervals around the significant SNPs, of which MTPN is involved in regulation of skeletal muscle growth. Our results may provide a new vision to identify the genomic regions affecting growth traits in sheep.
PPARGC1A gene plays an important role in the activation of various important hormone receptors and transcriptional factors involved in the regulation of adaptive thermogenesis, gluconeogenesis, fiber-type switching in skeletal muscle, mitochondrial biogenesis, and adipogenesis, regulating the reproduction and proposed as a candidate gene for milk-related traits in cattle. This study identified polymorphisms in the PPARGC1A gene in Italian Mediterranean buffaloes and their associations to milk production and quality traits (lactation length, peak milk yield, fat and protein yield, and percentage). As a result, a total of seven SNPs (g.-78A>G, g.224651G>C, g.286986G>A, g.304050G>A, g.325647G>A, g.325817T>C, and g.325997G>A) were identified by DNA pooled sequencing. Analysis of productivity traits within the genotyped animals revealed that the g.286986G>A located at intron 4 was associated with milk production traits, but the g.325817T>C had no association with milk production. Polymorphisms in g.-78A>G was associated with peak milk yield and milk yield, while g.304050G>A and g.325997 G>A were associated with both milk yield and protein percentage. Our findings suggest that polymorphisms in the buffalo PPARGC1A gene are associated with milk production traits and can be used as a candidate gene for milk traits and marker-assisted selection in the buffalo breeding program.
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