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 <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.

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Publication Details

Journal
Animal Biotechnology
Published
2024-09-02
DOI
https://doi.org/10.1080/10495398.2024.2396421
Citations
1
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.29
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article

The impact of genetic variants related to the fatty acid metabolic process pathway on milk production traits in Jersey cows

Huseyn Babayev, Özge Ardıçlı, Ayşe Işık, Tuğçe Necla Selvi et al.
1 citations
Animal Biotechnology
Cancer-related molecular mechanisms research
0.29
article

The impact of genetic variants related to the fatty acid metabolic process pathway on milk production traits in Jersey cows

Huseyn Babayev, Özge Ardıçlı, Ayşe Işık, Tuğçe Necla Selvi, Özden Çobanoğlu, Beyza Aktas, Sena Ardıçlı, Nursen Şentürk, Berkay Bozkurt, Stephen Skolnick, Ozgur Toprak Ay, Hivdanur Ter
article en
1 citations

Abstract

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.

Animal BiotechnologyVol. 35(1)
Izmir Institute of Technology (TR), Bursa Uludağ Üni̇versi̇tesi̇ (TR), University of Zurich (CH), Clover Seed (China) (CN)
Zero hunger
Openalex Percentile: Top 40%
Cancer-related molecular mechanisms research
0.29
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