Sena Ardicli, Nursen Senturk, Berkay Bozkurt, Huseyn Babayev, Tuğçe Selvi, Stephen Skolnick, Hivdanur Ter, Beyza Aktas, Ayse Isık, Ozgur Toprak Ay, Ozge Ardicli, Ozden Cobanoglu
{"title":"与脂肪酸代谢过程途径有关的遗传变异对泽西奶牛产奶特性的影响。","authors":"Sena Ardicli, Nursen Senturk, Berkay Bozkurt, Huseyn Babayev, Tuğçe Selvi, Stephen Skolnick, Hivdanur Ter, Beyza Aktas, Ayse Isık, Ozgur Toprak Ay, Ozge Ardicli, Ozden Cobanoglu","doi":"10.1080/10495398.2024.2396421","DOIUrl":null,"url":null,"abstract":"<p><p>The synthesis of fatty acids plays a critical role in shaping milk production characteristics in dairy cattle. Thus, identifying effective haplotypes within the fatty acid metabolism pathway will provide novel and robust insights into the genetics of dairy cattle. This study aimed to comprehensively examine the individual and combined impacts of fundamental genes within the fatty acid metabolic process pathway in Jersey cows. A comprehensive phenotypic dataset was compiled, considering milk production traits, to summarize a cow's productivity across three lactations. Genotyping was conducted through PCR-RFLP and Sanger sequencing, while the association between genotype and phenotype was quantified using linear mixed models. Moderate biodiversity and abundant variation suitable for haplotype analysis were observed across all examined markers. The individual effects of the <i>FABP3</i>, <i>LTF</i> and <i>ANXA9</i> genes significantly influenced both milk yield and milk fat production. Additionally, this study reveals novel two-way interactions between genes in the fatty acid metabolism pathway that directly affect milk fat properties. Notably, we identified that the GGAAGG haplotype in <i>FABP3</i>×<i>LTF</i>×<i>ANXA9</i> interaction may be a robust genetic marker concerning both milk fat yield and percentage. Consequently, the genotype combinations highlighted in this study serve as novel and efficient markers for assessing the fat content in cow's milk.</p>","PeriodicalId":7836,"journal":{"name":"Animal Biotechnology","volume":"35 1","pages":"2396421"},"PeriodicalIF":1.7000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of genetic variants related to the fatty acid metabolic process pathway on milk production traits in Jersey cows.\",\"authors\":\"Sena Ardicli, Nursen Senturk, Berkay Bozkurt, Huseyn Babayev, Tuğçe Selvi, Stephen Skolnick, Hivdanur Ter, Beyza Aktas, Ayse Isık, Ozgur Toprak Ay, Ozge Ardicli, Ozden Cobanoglu\",\"doi\":\"10.1080/10495398.2024.2396421\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The synthesis of fatty acids plays a critical role in shaping milk production characteristics in dairy cattle. Thus, identifying effective haplotypes within the fatty acid metabolism pathway will provide novel and robust insights into the genetics of dairy cattle. This study aimed to comprehensively examine the individual and combined impacts of fundamental genes within the fatty acid metabolic process pathway in Jersey cows. A comprehensive phenotypic dataset was compiled, considering milk production traits, to summarize a cow's productivity across three lactations. Genotyping was conducted through PCR-RFLP and Sanger sequencing, while the association between genotype and phenotype was quantified using linear mixed models. Moderate biodiversity and abundant variation suitable for haplotype analysis were observed across all examined markers. The individual effects of the <i>FABP3</i>, <i>LTF</i> and <i>ANXA9</i> genes significantly influenced both milk yield and milk fat production. Additionally, this study reveals novel two-way interactions between genes in the fatty acid metabolism pathway that directly affect milk fat properties. Notably, we identified that the GGAAGG haplotype in <i>FABP3</i>×<i>LTF</i>×<i>ANXA9</i> interaction may be a robust genetic marker concerning both milk fat yield and percentage. 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The impact of genetic variants related to the fatty acid metabolic process pathway on milk production traits in Jersey cows.
The synthesis of fatty acids plays a critical role in shaping milk production characteristics in dairy cattle. Thus, identifying effective haplotypes within the fatty acid metabolism pathway will provide novel and robust insights into the genetics of dairy cattle. This study aimed to comprehensively examine the individual and combined impacts of fundamental genes within the fatty acid metabolic process pathway in Jersey cows. A comprehensive phenotypic dataset was compiled, considering milk production traits, to summarize a cow's productivity across three lactations. Genotyping was conducted through PCR-RFLP and Sanger sequencing, while the association between genotype and phenotype was quantified using linear mixed models. Moderate biodiversity and abundant variation suitable for haplotype analysis were observed across all examined markers. The individual effects of the FABP3, LTF and ANXA9 genes significantly influenced both milk yield and milk fat production. Additionally, this study reveals novel two-way interactions between genes in the fatty acid metabolism pathway that directly affect milk fat properties. Notably, we identified that the GGAAGG haplotype in FABP3×LTF×ANXA9 interaction may be a robust genetic marker concerning both milk fat yield and percentage. Consequently, the genotype combinations highlighted in this study serve as novel and efficient markers for assessing the fat content in cow's milk.
期刊介绍:
Biotechnology can be defined as any technique that uses living organisms (or parts of organisms like cells, genes, proteins) to make or modify products, to improve plants, animals or microorganisms for a specific use. Animal Biotechnology publishes research on the identification and manipulation of genes and their products, stressing applications in domesticated animals. The journal publishes full-length articles and short research communications, as well as comprehensive reviews. The journal also provides a forum for regulatory or scientific issues related to cell and molecular biology applied to animal biotechnology.
Submissions on the following topics are particularly welcome:
- Applied microbiology, immunogenetics and antibiotic resistance
- Genome engineering and animal models
- Comparative genomics
- Gene editing and CRISPRs
- Reproductive biotechnologies
- Synthetic biology and design of new genomes