Genome-wide association studies for milk production traits in two autochthonous Aosta cattle breeds

被引:0
|
作者
Bernini, F. [1 ]
Mancin, E. [2 ]
Sartori, C. [2 ]
Mantovani, R. [2 ]
Vevey, M. [3 ]
Blanchet, V. [3 ]
Bagnato, A. [1 ]
Strillacci, M. G. [1 ]
机构
[1] Univ Milan, Dept Vet Med & Anim Sci, Via Univ 6, I-26900 Lodi, Italy
[2] Univ Padua, Dept Agron Food Nat Resources Anim & Environm, Viale Univ 16, I-35020 Legnaro, Italy
[3] Assoc Nazl Bovini Razza Valdostana, Fraz Favret 5, I-11020 Gressan, Italy
关键词
Cattle; Genomics; Local breeds; Productive traits; Quantitative Traits Loci; HOLSTEIN; POLYMORPHISMS; PROTEINS; SELECTION; LOCUS; YIELD; COWS;
D O I
10.1016/j.animal.2024.101322
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Genome-wide association studies (GWASs) are used to identify quantitative trait loci for phenotypic traits of interest. The use of multilocus mixed models allows to correct for population stratification and account for long-range linkage disequilibrium. In this study, GWASs were conducted to identify the genetic bases of milk production (milk yield, protein and fat composition, and yield) in two autochthonous dual-purpose cattle breeds from the Aosta Valley. Using either the breeding values or the deregressed proofs, common significative single nucleotide polymorphisms have been identified for milk yield, protein percentage, and fat percentage. Two major quantitative trait loci regions have been identified on the chromosomes 5 and 14 for the fat percentage, harbouring the MGST1, CYHR1, VPS28, and CPSF1 genes. For the protein percentage, a candidate region has been identified on BTA 6; in this region, the CSN1S1, CSN2, HSTN, CSN3, and RUFY3 genes are annotated. Most of the identified genes have already been associated with milk composition in other studies on cosmopolitan and local cattle. These results show that the genes involved in milk composition quantitative traits in the Aosta cattle are common also in other cattle breeds and they can be further investigated with the use of whole genome sequencing data. (c) 2024 The Authors. Published by Elsevier B.V. on behalf of The Animal Consortium. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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页数:10
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