Literature DB >> 26409972

Genetic dissection of milk yield traits and mastitis resistance quantitative trait loci on chromosome 20 in dairy cattle.

Naveen K Kadri1, Bernt Guldbrandtsen1, Mogens S Lund1, Goutam Sahana2.   

Abstract

Intense selection to increase milk yield has had negative consequences for mastitis incidence in dairy cattle. Due to low heritability of mastitis resistance and an unfavorable genetic correlation with milk yield, a reduction in mastitis through traditional breeding has been difficult to achieve. Here, we examined quantitative trait loci (QTL) that segregate for clinical mastitis and milk yield on Bos taurus autosome 20 (BTA20) to determine whether both traits are affected by a single polymorphism (pleiotropy) or by multiple closely linked polymorphisms. In the latter but not the former situation, undesirable genetic correlation could potentially be broken by selecting animals that have favorable variants for both traits. First, we performed a within-breed association study using a haplotype-based method in Danish Holstein cattle (HOL). Next, we analyzed Nordic Red dairy cattle (RDC) and Danish Jersey cattle (JER) with the goal of determining whether these QTL identified in Holsteins were segregating across breeds. Genotypes for 12,566 animals (5,966 HOL, 5,458 RDC, and 1,142 JER) were determined by using the Illumina Bovine SNP50 BeadChip (50K; Illumina, San Diego, CA), which identifies 1,568 single nucleotide polymorphisms on BTA20. Data were combined, phased, and clustered into haplotype states, followed by within- and across-breed haplotype-based association analyses using a linear mixed model. Association signals for both clinical mastitis and milk yield peaked in the 26- to 40-Mb region on BTA20 in HOL. Single-variant association analyses were carried out in the QTL region using whole sequence level variants imputed from references of 2,036 HD genotypes (BovineHD BeadChip; Illumina) and 242 whole-genome sequences. The milk QTL were also segregating in RDC and JER on the BTA20-targeted region; however, an indication of differences in the causal factor(s) was observed across breeds. A previously reported F279Y mutation (rs385640152) within the growth hormone receptor gene showed strong association with milk, fat, and protein yields. In HOL, the highest peaks for milk yield and susceptibility to mastitis were separated by over 3.5 Mb (3.8 Mb by haplotype analysis, 3.6 Mb by single nucleotide polymorphism analysis), suggesting separate genetic variants for the traits. Further analysis yielded 2 candidate mutations for the mastitis QTL, at 33,642,072 bp (rs378947583) in an intronic region of the caspase recruitment domain protein 6 gene and 35,969,994 bp (rs133596506) in an intronic region of the leukemia-inhibitory factor receptor gene. These findings suggest that it may be possible to separate these beneficial and detrimental genetic factors through targeted selective breeding.
Copyright © 2015 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  association study; cattle; clinical mastitis; milk yield

Mesh:

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Year:  2015        PMID: 26409972     DOI: 10.3168/jds.2015-9599

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


  5 in total

1.  The patterns of genomic variances and covariances across genome for milk production traits between Chinese and Nordic Holstein populations.

Authors:  Xiujin Li; Mogens Sandø Lund; Luc Janss; Chonglong Wang; Xiangdong Ding; Qin Zhang; Guosheng Su
Journal:  BMC Genet       Date:  2017-03-15       Impact factor: 2.797

2.  Three Novel Players: PTK2B, SYK, and TNFRSF21 Were Identified to Be Involved in the Regulation of Bovine Mastitis Susceptibility via GWAS and Post-transcriptional Analysis.

Authors:  Fan Yang; Fanghui Chen; Lili Li; Li Yan; Tarig Badri; Chenglong Lv; Daolun Yu; Manling Zhang; Xiaojun Jang; Jie Li; Lu Yuan; Genlin Wang; Honglin Li; Jun Li; Yafei Cai
Journal:  Front Immunol       Date:  2019-08-06       Impact factor: 7.561

3.  Genome Wide Prediction, Mapping and Development of Genomic Resources of Mastitis Associated Genes in Water Buffalo.

Authors:  Sarika Jaiswal; Jaisri Jagannadham; Juli Kumari; Mir Asif Iquebal; Anoop Kishor Singh Gurjar; Varij Nayan; Ulavappa B Angadi; Sunil Kumar; Rakesh Kumar; Tirtha Kumar Datta; Anil Rai; Dinesh Kumar
Journal:  Front Vet Sci       Date:  2021-06-18

4.  Genome-wide association analysis of milk yield traits in Nordic Red Cattle using imputed whole genome sequence variants.

Authors:  T Iso-Touru; G Sahana; B Guldbrandtsen; M S Lund; J Vilkki
Journal:  BMC Genet       Date:  2016-03-22       Impact factor: 2.797

5.  Population structure and genomic inbreeding in nine Swiss dairy cattle populations.

Authors:  Heidi Signer-Hasler; Alexander Burren; Markus Neuditschko; Mirjam Frischknecht; Dorian Garrick; Christian Stricker; Birgit Gredler; Beat Bapst; Christine Flury
Journal:  Genet Sel Evol       Date:  2017-11-07       Impact factor: 4.297

  5 in total

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