Mutations in Caprine DGAT1 and STAT5A Genes were Associated with Milk Production Traits

An, Xiaopeng; Hou, Jinxing; Zhao, Haibo; Zhu, Chunmei; Yan, Qingyun; Song, Yuxuan; Wang, Jiangang; Cao, Binyun

doi:10.4236/eng.2012.410b008

Cited by 7 publications

(11 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other genes on chromosome 19 associated with milk production traits in dairy goats include the GH1 gene located in the 47 Mb region [40,41] and the STAT5A gene located in the 42 Mb region [42]. However, in our study there were no associations for milk traits detected in these regions.…”

Section: Discussioncontrasting

confidence: 81%

Genome-wide association studies of lactation yields of milk, fat, protein and somatic cell score in New Zealand dairy goats

Scholtens

Jiang

Smith

et al. 2020

J Animal Sci Biotechnol

View full text Add to dashboard Cite

Background: Identifying associations between genetic markers and traits of economic importance will provide practical benefits for the dairy goat industry, enabling genomic prediction of the breeding value of individuals, and facilitating discovery of the underlying genes and mutations. Genome-wide association studies were implemented to detect genetic regions that are significantly associated with effects on lactation yields of milk (MY), fat (FY), protein (PY) and somatic cell score (SCS) in New Zealand dairy goats. Methods: A total of 4,840 goats were genotyped with the Caprine 50 K SNP chip (Illumina Inc., San Diego, CA). After quality filtering, 3,732 animals and 41,989 SNPs were analysed assuming an additive linear model. Four GWAS models were performed, a single-SNP additive linear model and three multi-SNP BayesC models. For the single-SNP GWAS, SNPs were fitted individually as fixed covariates, while the BayesC models fit all SNPs simultaneously as random effects. A cluster of significant SNPs were used to define a haplotype block whose alleles were fitted as covariates in a Bayesian model. The corresponding diplotypes of the haplotype block were then fit as class variables in another Bayesian model. Results: Across all four traits, a total of 43 genome-wide significant SNPs were detected from the SNP GWAS. At a genome-wide significance level, the single-SNP analysis identified a cluster of variants on chromosome 19 associated with MY, FY, PY, and another cluster on chromosome 29 associated with SCS. Significant SNPs mapped in introns of candidate genes (45%), in intergenic regions (36%), were 0-5 kb upstream or downstream of the closest gene (14%) or were synonymous substitutions (5%). The most significant genomic window was located on chromosome 19 explaining up to 9.6% of the phenotypic variation for MY, 8.1% for FY, 9.1% for PY and 1% for SCS. Conclusions: The quantitative trait loci for yield traits on chromosome 19 confirms reported findings in other dairy goat populations. There is benefit to be gained from using these results for genomic selection to improve milk production in New Zealand dairy goats.

show abstract

Section: Discussioncontrasting

confidence: 81%

Genome-wide association studies of lactation yields of milk, fat, protein and somatic cell score in New Zealand dairy goats

Scholtens

Jiang

Smith

et al. 2020

J Animal Sci Biotechnol

View full text Add to dashboard Cite

show abstract

“…It refers to the DGAT1 gene sequence, so the PCR products were specific on target gene. Amplicon size was not far differently from An et al (2012) investigate in the same exon target for Xinong Saanen and Guangzhou goat at China, approximately 328 bp.…”

Section: Amplification Of Exon 14 -16 Dgat1 Genementioning

confidence: 89%

“…The DGAT1 enzyme is an integral membrane protein present in the endoplasmic reticulum and used diacylglycerol and fatty acyl CoA as substrates for triglyceride synthesis (Ozmen and Kul, 2014;Rosse et al, 2014;Martin et al, 2017). DGAT1 gene as candidate of genetic marker in livestock selection process could identify with polymorphism at DNA level using Polymerase Chain Reaction-Single Strand Conformation Polymorphism (PCR-SSCP) (An et al, 2012;Raut et al, 2012;Shi et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Polymorphism identification of Diacylglycerol Acyltransferase1 gene and its correlation with fat content of Saanen goat

Darmoatmodjo

Widodo

Asmara

2018

J. Indonesian Trop. Anim. Agric.

View full text Add to dashboard Cite

Gene markers are often usefull for selection process of cattle on commercial certain phenotypes. Saanen goat has predominance in milk production traits. Milk fat content is one of the commercial traits of milk production. Diacylglycerol Acyltransferase1 (DGAT1) gene was involved in the final process of triglyceride synthesis and associated with milk fat content. Single nucleotide subtitution or insertion-deletion in certain sequence of DGAT1 gene could be gene markers for milk fat content. The objective of this study was to identify differences variation in milk fat content among individual Saanen goats, to identify exon 14-16 polymorphism of DGAT1 gene and to examine its correlation between polymorphism and milk fat content on Saanen goats. The methodologies was collection blood and milk samples, DNA isolation from blood, amplification of DGAT1 genes, sequencing, detection of polymorphism of exon 14-16 DGAT1 gene with Polymerase Chain Reaction-Single Strand Conformation Polymorphism (PCR-SSCP), and examination milk quality on three lactation months using Lactoscan. The average of daily milk production from 70 Saanen goat was 2340±709 mL, 1880±632 mL, 1432±536 mL and average of milk fat content was 3.07±0.52%, 2.53±0.55%, 3.00±0.55% for the first, second and third months of lactation, respectively. The amplicon size of exon 14-16 of DGAT1 gene was ± 350 bp and showed monomorphic pattern from PCR-SSCP. Variation of milk fat content on Saanen goats not caused by polymorphism of exon 14-16 DGAT1 gene.

show abstract

“…The characterization of candidate genes influencing growth and meat-related traits has not reached yet the level of knowledge [49] achieved for milk traits (see previous section), where mutations with causal effects have been identified. Probably, the loci that have been analysed most intensively are those related with the growth hormone (GH) axis.…”

Section: Candidate Genes For Growth and Meat Quality Traitsmentioning

confidence: 99%

“…These genes belong to different functional categories related with lipogenesis (ACACA, DGAT1, DGAT2, ME1, and SCD); lipolysis (LPL and LIPE); milk fat globule membrane proteins (BTN1A1 and MFGE); hormone signaling (GH and PRLR); and transcription factors regulating gene expression (PITX2, POUF1, and STAT5), amongst others [45][46][47][48][49][50][51][52][53][54][55][56][57][58][59]. Although the main phenotype analysed in these reports is milk fat content, in some of them the genetic analysis of milk fatty acid composition has been undertaken (e.g., [53,55,58,59]).…”

Section: Candidate Genes For Dairy Traitsmentioning

confidence: 99%

The Application of Genomic Technologies to Investigate the Inheritance of Economically Important Traits in Goats

Amills

2014

Advances in Biology

View full text Add to dashboard Cite

Goat genomics has evolved at a low pace because of a lack of molecular tools and sufficient investment. Whilst thousands and hundreds of quantitative trait loci (QTL) have been identified in cattle and sheep, respectively, about nine genome scans have been performed in goats dealing with traits as conformation, growth, fiber quality, resistance to nematodes, and milk yield and composition. In contrast, a great effort has been devoted to the characterization of candidate genes and their association with milk, meat, and reproduction phenotypes. In this regard, causal mutations have been identified in the S1 -casein gene that has a strong effect on milk composition and the PIS locus that is linked to intersexuality and polledness. In recent times, the development of massive parallel sequencing technologies has allowed to build a reference genome for goats as well as to monitor the expression of mRNAs and microRNAs in a broad array of tissues and experimental conditions. Besides, the recent design of a 52K SNP chip is expected to have a broad impact in the analysis of the genetic architecture of traits of economic interest as well as in the study of the population structure of goats at a worldwide scale.

show abstract

Mutations in Caprine DGAT1 and STAT5A Genes were Associated with Milk Production Traits

Cited by 7 publications

References 21 publications

Genome-wide association studies of lactation yields of milk, fat, protein and somatic cell score in New Zealand dairy goats

Genome-wide association studies of lactation yields of milk, fat, protein and somatic cell score in New Zealand dairy goats

Polymorphism identification of Diacylglycerol Acyltransferase1 gene and its correlation with fat content of Saanen goat

The Application of Genomic Technologies to Investigate the Inheritance of Economically Important Traits in Goats

Contact Info

Product

Resources

About