scholarly journals Genome-wide identification of diacylglycerol acyltransferases (DGAT) family genes influencing milk production traits in buffalo

2019 ◽  
Author(s):  
Jiajia Liu ◽  
Zhiquan Wang ◽  
Jun Li ◽  
Hui Li ◽  
Liguo Yang
Keyword(s):  
Functional Analysis ◽  
Milk Production ◽  
Milk Fat ◽  
Buffalo Milk ◽  
Production Traits ◽  
Lactation Performance ◽  
Milk Production Traits ◽  
Chromosomal Distribution ◽  
Genome Wide ◽  
A Genome

Abstract Background: The diacylglycerol acyltransferases (DGAT) are a vital group of enzymes in catalyzing triacylglycerol biosynthesis. DGAT genes like DGAT1 and DGAT2 , have been identified as two functional candidate genes affecting milk production traits, especially for fat content in milk. Buffalo milk is famous for its excellent quality, which is rich in fat and protein content. Therefore, this study aimed to characterize DGAT family genes in buffalo and to find candidate markers or DGAT genes influencing lactation performance. Results: We performed a genome-wide study and identified eight DGAT genes in buffalo. All the DGAT genes classified into two distinct clades (DGAT1 and DGAT2 subfamily) based on their phylogenetic relationships and structural features. Chromosome localization displayed eight buffalo DGAT genes distributed on five chromosomes. Collinearity analysis revealed that the DGAT family genes were extensive homologous between buffalo and cattle. Afterward, we discovered genetic variants loci within the genomic regions that DGAT genes located in buffalo. Seven haplotype blocks were constructed and were associated with buffalo milk production traits. Single marker association analyses revealed four most significant single nucleotide polymorphisms (SNPs) mainly affecting milk protein percentage or milk fat yield in buffalo. Genes functional analysis indicated that these DGAT family genes could influence lactation performance in the mammal through regulating lipid metabolism. Conclusion: In the present study, we performed a comprehensive analysis for the DGAT family genes in buffalo, which including identification, structural characterization, phylogenetic classification, chromosomal distribution, collinearity analysis, association analysis, and functional analysis. These findings provide useful information for an in-depth study to determine the role of DGAT family gens play in the regulation of milk production and milk quality improvement in buffalo.

scholarly journals Genome-wide identification of diacylglycerol acyltransferases (DGAT) family genes influencing milk production traits in buffalo

2020 ◽  
Author(s):  
Jiajia Liu ◽  
Zhiquan Wang ◽  
Jun Li ◽  
Hui Li ◽  
Liguo Yang
Keyword(s):  
Functional Analysis ◽  
Milk Production ◽  
Milk Fat ◽  
Buffalo Milk ◽  
Production Traits ◽  
Lactation Performance ◽  
Milk Production Traits ◽  
Chromosomal Distribution ◽  
Genome Wide ◽  
A Genome

Abstract Background: The diacylglycerol acyltransferases (DGAT) are a vital group of enzymes in catalyzing triacylglycerol biosynthesis. DGAT genes like DGAT1 and DGAT2 , have been identified as two functional candidate genes affecting milk production traits, especially for fat content in milk. Buffalo milk is famous for its excellent quality, which is rich in fat and protein content. Therefore, this study aimed to characterize DGAT family genes in buffalo and to find candidate markers or DGAT genes influencing lactation performance. Results: We performed a genome-wide study and identified eight DGAT genes in buffalo. All the DGAT genes classified into two distinct clades (DGAT1 and DGAT2 subfamily) based on their phylogenetic relationships and structural features. Chromosome localization displayed eight buffalo DGAT genes distributed on five chromosomes. Collinearity analysis revealed that the DGAT family genes were extensive homologous between buffalo and cattle. Afterward, we discovered genetic variants loci within the genomic regions that DGAT genes located in buffalo. Seven haplotype blocks were constructed and were associated with buffalo milk production traits. Single marker association analyses revealed four most significant single nucleotide polymorphisms (SNPs) mainly affecting milk protein percentage or milk fat yield in buffalo. Genes functional analysis indicated that these DGAT family genes could influence lactation performance in the mammal through regulating lipid metabolism. Conclusion: In the present study, we performed a comprehensive analysis for the DGAT family genes in buffalo, which including identification, structural characterization, phylogenetic classification, chromosomal distribution, collinearity analysis, association analysis, and functional analysis. These findings provide useful information for an in-depth study to determine the role of DGAT family gens play in the regulation of milk production and milk quality improvement in buffalo.

scholarly journals Genome-wide identification of diacylglycerol acyltransferases (DGAT) family genes influencing milk production traits in buffalo

2020 ◽  
Author(s):  
Jiajia Liu ◽  
Zhiquan Wang ◽  
Jun Li ◽  
Hui Li ◽  
Liguo Yang
Keyword(s):  
Functional Analysis ◽  
Milk Production ◽  
Milk Fat ◽  
Buffalo Milk ◽  
Production Traits ◽  
Lactation Performance ◽  
Milk Production Traits ◽  
Chromosomal Distribution ◽  
Genome Wide ◽  
A Genome

Abstract Background: The diacylglycerol acyltransferases (DGAT) are a vital group of enzymes in catalyzing triacylglycerol biosynthesis. DGAT genes like DGAT1 and DGAT2 , have been identified as two functional candidate genes affecting milk production traits, especially for fat content in milk. Buffalo milk is famous for its excellent quality, which is rich in fat and protein content. Therefore, this study aimed to characterize DGAT family genes in buffalo and to find candidate markers or DGAT genes influencing lactation performance. Results: We performed a genome-wide study and identified eight DGAT genes in buffalo. All the DGAT genes classified into two distinct clades (DGAT1 and DGAT2 subfamily) based on their phylogenetic relationships and structural features. Chromosome localization displayed eight buffalo DGAT genes distributed on five chromosomes. Collinearity analysis revealed that the DGAT family genes were extensive homologous between buffalo and cattle. Afterward, we discovered genetic variants loci within the genomic regions that DGAT genes located in buffalo. Seven haplotype blocks were constructed and were associated with buffalo milk production traits. Single marker association analyses revealed four most significant single nucleotide polymorphisms (SNPs) mainly affecting milk protein percentage or milk fat yield in buffalo. Genes functional analysis indicated that these DGAT family genes could influence lactation performance in the mammal through regulating lipid metabolism. Conclusion: In the present study, we performed a comprehensive analysis for the DGAT family genes in buffalo, which including identification, structural characterization, phylogenetic classification, chromosomal distribution, collinearity analysis, association analysis, and functional analysis. These findings provide useful information for an in-depth study to determine the role of DGAT family gens play in the regulation of milk production and milk quality improvement in buffalo.

scholarly journals Genome-wide identification of diacylglycerol acyltransferases (DGAT) family genes influencing milk production traits in buffalo

2019 ◽  
Author(s):  
Jiajia Liu ◽  
Zhiquan Wang ◽  
Jun Li ◽  
Hui Li ◽  
Liguo Yang
Keyword(s):  
Functional Analysis ◽  
Milk Production ◽  
Milk Fat ◽  
Buffalo Milk ◽  
Production Traits ◽  
Lactation Performance ◽  
Milk Production Traits ◽  
Chromosomal Distribution ◽  
Genome Wide ◽  
A Genome

Abstract Background: The diacylglycerol acyltransferases (DGAT) are a vital group of enzymes in catalyzing triacylglycerol biosynthesis. DGAT genes like DGAT1 and DGAT2 , have been identified as two functional candidate genes affecting milk production traits, especially for fat content in milk. Buffalo milk is famous for its excellent quality, which is rich in fat and protein content. Therefore, this study aimed to characterize DGAT family genes in buffalo and to find candidate markers or DGAT genes influencing lactation performance. Results: We performed a genome-wide detection and identified eight DGAT genes in buffalo. All the DGAT genes classified into two distinct clades (DGAT1 and DGAT2 subfamily) based on their phylogenetic relationships and structural features. Chromosome localization displayed eight buffalo DGAT genes distributed on five chromosomes. Collinearity analysis revealed that the DGAT family genes were extensive homologous between buffalo and cattle. Afterward, we discovered genetic variants loci within the genomic regions that DGAT genes located in buffalo. Eight haplotype blocks were constructed and were associated with buffalo milk production traits. Single marker association analyses revealed four most significant single nucleotide polymorphisms (SNPs) mainly affecting milk protein percentage or milk fat yield in buffalo. Genes functional analysis indicated that these DGAT family genes could influence lactation performance in the mammal through regulating lipid metabolism. Conclusion: In the present study, we performed a comprehensive analysis for the DGAT family genes in buffalo, which including identification, structural characterization, phylogenetic classification, chromosomal distribution, collinearity analysis, association analysis, and functional analysis. These findings provide useful information for an in-depth study to determine the role of DGAT family gens play in the regulation of milk production and milk quality improvement in buffalo. Keywords: DGAT family, DGAT1, DGAT2 , Milk production traits, Buffalo genome

scholarly journals A genome scan for milk production traits in dairy goats reveals two new mutations in Dgat1 reducing milk fat content

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Pauline Martin ◽  
Isabelle Palhière ◽  
Cyrielle Maroteau ◽  
Philippe Bardou ◽  
Kamila Canale-Tabet ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Fat ◽  
Genome Scan ◽  
Fat Content ◽  
Production Traits ◽  
Milk Production Traits ◽  
Dairy Goats ◽  
A Genome ◽  
New Mutations

scholarly journals Author Correction: A genome scan for milk production traits in dairy goats reveals two new mutations in Dgat1 reducing milk fat content

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Pauline Martin ◽  
Isabelle Palhière ◽  
Cyrielle Maroteau ◽  
Philippe Bardou ◽  
Kamila Canale-Tabet ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Fat ◽  
Genome Scan ◽  
Fat Content ◽  
Production Traits ◽  
Milk Production Traits ◽  
Dairy Goats ◽  
A Genome ◽  
New Mutations

An association analysis between PRL genotype and milk production traits in Italian Mediterranean river buffalo

2017 ◽  
Vol 84 (4) ◽  
pp. 430-433 ◽  
Author(s):  
Jun Li ◽  
Aixin Liang ◽  
Zipeng Li ◽  
Chao Du ◽  
Guohua Hua ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Milk Fat ◽  
Fat Content ◽  
Phenotypic Variance ◽  
River Buffalo ◽  
Production Traits ◽  
Milk Production Traits ◽  
Exon 2 ◽  
Mediterranean River

This Research Communication describes the association between genetic variation within the prolactin (PRL) gene and the milk production traits of Italian Mediterranean river buffalo (Bufala mediterranea Italiana). High resolution melting (HRM) techniques were developed for genotyping 465 buffaloes. The association of genetic polymorphism with milk production traits was performed and subsequently the effects of parity and calving season were evaluated. Single nucleotide polymorphisms (SNPs) were identified at exons 2 and 5 and at introns 1 and 2. All the SNPs were in Hardy–Weinberg equilibrium, and statistical analysis showed that the polymorphism of intron1 was significantly (P < 0·05) associated with milk yield, milk protein content and peak milk yield. The average contribution of the intron1 genotype (r2intron1) to total phenotypic variance in milk production traits was 0·09, and the TT genotype showed lower values than CC and CT genotypes. A nonsynonymous SNP was identified in exon 2, which resulted in an amino acid change from arginine to cysteine. Moreover, the polymorphism of exon 2 was associated significantly with milk fat content (P < 0·05), and the buffaloes with TT genotype showed higher total fat content than the buffaloes with CT genotype. These findings provide evidence that polymorphisms of the buffalo PRL gene are associated with milk production traits and PRL can be used as a candidate gene for marker-assisted selection in Italian Mediterranean river buffalo breeding.

Association of the Leu127 variant of the bovine growth hormone (bGH) gene with increased yield of milk, fat, and protein in Australian Holstein-Friesians

2000 ◽  
Vol 51 (4) ◽  
pp. 515 ◽  
Author(s):  
M. R. Shariflou ◽  
C. Moran ◽  
F. W. Nicholas
Keyword(s):  
Growth Hormone ◽  
Milk Production ◽  
Milk Fat ◽  
Bovine Growth Hormone ◽  
Data Sets ◽  
Production Traits ◽  
Milk Production Traits ◽  
Maximum Benefit ◽  
Pcr Products ◽  
Trait Locus

The occurrence of the Leu127/Val127 variants of the bovine growth hormone (bGH) gene and their effect on milk production traits was investigated in Australian Holstein-Friesian cattle. Animals were genotyped for the Leu127/Val127 variants, with RFLP methodology, using PCR and AluI digestion of PCR products (AluI-RFLP). Alleles Leu127 and Val127 occurred with frequencies of 82% and 18%, respectively. The quantitative effect of this polymorphic site on milk-production traits was estimated from lactation data and test-day data. Results from the 2 data sets consistently showed that the Leu127 allele is associated with higher production of milk, fat, and protein and is dominant to Val127. The average effects of the gene substitution are 95 L for milk yield, 7 kg for fat yield, and 3 kg for protein yield per lactation. This locus may be directly responsible for quantitative variation or it may be a marker for a closely linked quantitative trait locus (QTL) for milk-production traits in Australian dairy cattle. In either case, it will be useful as an aid to selection for improvement of milk production traits. As the Leu127 allele is dominant, selection of AI sires homozygous for the Leu127 allele (Leu127/Leu127) will result in maximum benefit without the need for genotyping cows.

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