Literature DB >> 23831098

Association of polymorphisms in solute carrier family 27, isoform A6 (SLC27A6) and fatty acid-binding protein-3 and fatty acid-binding protein-4 (FABP3 and FABP4) with fatty acid composition of bovine milk.

R A Nafikov1, J P Schoonmaker, K T Korn, K Noack, D J Garrick, K J Koehler, J Minick-Bormann, J M Reecy, D E Spurlock, D C Beitz.   

Abstract

The main goal of this study was to develop tools for genetic selection of animals producing milk with a lower concentration of saturated fatty acids (SFA) and a higher concentration of unsaturated fatty acids (UFA). The reasons for changing milk fatty acid (FA) composition were to improve milk technological properties, such as for production of more spreadable butter, and milk nutritional value with respect to the potentially adverse effects of SFA on human health. We hypothesized that genetic polymorphisms in solute carrier family 27, isoform A6 (SLC27A6) fatty acid transport protein gene and fatty acid binding protein (FABP)-3 and FABP-4 (FABP3 and FABP4) would affect the selectivity of FA uptake into, and FA redistribution inside, mammary epithelial cells, resulting in altered FA composition of bovine milk. The objectives of our study were to discover genetic polymorphisms in SLC27A6, FABP3, and FABP4, and to test those polymorphisms for associations with milk FA composition. The results showed that after pairwise comparisons between SLC27A6 haplotypes for significantly associated traits, haplotype H3 was significantly associated with 1.37 weight percentage (wt%) lower SFA concentration, 0.091 lower SFA:UFA ratio, and 0.17 wt% lower lauric acid (12:0) concentration, but 1.37 wt% higher UFA and 1.24 wt% higher monounsaturated fatty acid (MUFA) concentrations compared with haplotype H1 during the first 3 mo of lactation. Pairwise comparisons between FABP4 haplotypes for significantly associated traits showed that haplotype H3 was significantly associated with 1.04 wt% lower SFA concentration, 0.079 lower SFA:UFA ratio, 0.15 wt% lower lauric acid (12:0), and 0.27 wt% lower myristic acid (14:0) concentrations, but 1.04 wt% higher UFA and 0.91 wt% higher MUFA concentrations compared with haplotype H1 during the first 3 mo of lactation. Percentages of genetic variance explained by H3 versus H1 haplotype substitutions for SLC27A6 and FABP4 ranged from 2.50 to 4.86% and from 4.91 to 7.22%, respectively. Tag single nucleotide polymorphisms were identified to distinguish haplotypes H3 of SLC27A6 and FABP4 from others encompassing each gene. We found no significant associations between FABP3 haplotypes and milk FA composition. In conclusion, polymorphisms in FABP4 and SLC27A6 can be used to select for cattle producing milk with lower concentrations of SFA and higher concentrations of UFA.
Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  candidate gene; dairy cow; fatty acid transport; milk fatty acid

Mesh:

Substances:

Year:  2013        PMID: 23831098     DOI: 10.3168/jds.2013-6703

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  20 in total

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Journal:  Genetics       Date:  2016-03-26       Impact factor: 4.562

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3.  Identification of genes affecting milk fat and fatty acid composition in Vrindavani crossbred cattle using 50 K SNP-Chip.

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Journal:  Trop Anim Health Prod       Date:  2021-06-06       Impact factor: 1.559

4.  Variation in the bovine FABP4 gene affects milk yield and milk protein content in dairy cows.

Authors:  H Zhou; L Cheng; W Azimu; S Hodge; G R Edwards; J G H Hickford
Journal:  Sci Rep       Date:  2015-06-12       Impact factor: 4.379

5.  Application of selection mapping to identify genomic regions associated with dairy production in sheep.

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6.  Transcriptomic Analysis Identifies Candidate Genes Related to Intramuscular Fat Deposition and Fatty Acid Composition in the Breast Muscle of Squabs (Columba).

Authors:  Manhong Ye; Bin Zhou; Shanshan Wei; MengMeng Ding; Xinghui Lu; Xuehao Shi; Jiatong Ding; Shengmei Yang; Wanhong Wei
Journal:  G3 (Bethesda)       Date:  2016-07-07       Impact factor: 3.154

7.  Genome-wide association study for feed efficiency and growth traits in U.S. beef cattle.

Authors:  Christopher M Seabury; David L Oldeschulte; Mahdi Saatchi; Jonathan E Beever; Jared E Decker; Yvette A Halley; Eric K Bhattarai; Maral Molaei; Harvey C Freetly; Stephanie L Hansen; Helen Yampara-Iquise; Kristen A Johnson; Monty S Kerley; JaeWoo Kim; Daniel D Loy; Elisa Marques; Holly L Neibergs; Robert D Schnabel; Daniel W Shike; Matthew L Spangler; Robert L Weaber; Dorian J Garrick; Jeremy F Taylor
Journal:  BMC Genomics       Date:  2017-05-18       Impact factor: 3.969

8.  Transcriptome analysis of adipose tissues from two fat-tailed sheep breeds reveals key genes involved in fat deposition.

Authors:  Baojun Li; Liying Qiao; Lixia An; Weiwei Wang; Jianhua Liu; Youshe Ren; Yangyang Pan; Jiongjie Jing; Wenzhong Liu
Journal:  BMC Genomics       Date:  2018-05-08       Impact factor: 3.969

9.  High density genome wide genotyping-by-sequencing and association identifies common and low frequency SNPs, and novel candidate genes influencing cow milk traits.

Authors:  Eveline M Ibeagha-Awemu; Sunday O Peters; Kingsley A Akwanji; Ikhide G Imumorin; Xin Zhao
Journal:  Sci Rep       Date:  2016-08-10       Impact factor: 4.379

10.  Polymorphisms in Fatty Acid Desaturase 2 Gene are Associated with Milk Production Traits in Chinese Holstein Cows.

Authors:  Mingxun Li; Qisong Gao; Mengqi Wang; Yan Liang; Yujia Sun; Zhi Chen; Huimin Zhang; Niel A Karrow; Zhangping Yang; Yongjiang Mao
Journal:  Animals (Basel)       Date:  2020-04-12       Impact factor: 2.752

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