Suppr超能文献

乳球蛋白复合 SNP 加性和显性效应与穆尔西亚-格拉纳达羊乳产量和品质的非参数关联分析。

Non-parametric association analysis of additive and dominance effects of casein complex SNPs on milk content and quality in Murciano-Granadina goats.

机构信息

Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, Córdoba, Spain.

Animal Breeding Consulting SL, Córdoba Science and Technology Park, Córdoba, Spain.

出版信息

J Anim Breed Genet. 2020 Jul;137(4):407-422. doi: 10.1111/jbg.12457. Epub 2019 Nov 19.

Abstract

Goat milk casein proteins (αS1, αS2, β and κ) are encoded by four loci (CSN1S1, CSN1S2, CSN2 and CSN3, respectively) clustered within 250 kb in chromosome 6. In this study, 159 Murciano-Granadina goats were genotyped for 48 SNPs within the entire casein region. Phenotypes on milk yield and components were obtained from 2,594 dairy registries. Additive and dominance effects on milk composition and quality were studied using non-parametric tests and principal component analysis to prevent SNPs multicollinearity. Two deletions in exon 4 (CSN1S1 and CSN3), one in exon 7 (CSN2) and one in exon 15 (CSN1S2) have been found at frequencies ranging from 0.12 to 0.50. Bonferroni-corrected significant SNP additive and dominance effects were found for milk yield, fat, protein, dry matter and lactose, and somatic cells. Exons 15 and 7 were significantly associated with milk yield and components except for lactose and somatic cells, while exon 4 was significantly associated with milk yield and components except for protein and dry matter. SNPs' associations with somatic cells were less frequent and weaker than those with milk yield and components. As caseins increase, somatic cells decrease, reducing milk enzymatic activity and consumption suitability. Hence, including molecular information in breeding schemes may promote production efficiency, as selecting against undesirable alleles could prevent the compromises derived from their dominance effects.

摘要

羊奶酪蛋白(αS1、αS2、β 和 κ)由四个基因座(CSN1S1、CSN1S2、CSN2 和 CSN3)编码,分别位于染色体 6 上的 250kb 内。在这项研究中,对 159 只穆拉诺-格拉纳迪纳羊进行了整个酪蛋白区域内 48 个 SNP 的基因型分析。从 2594 份奶牛登记中获得了产奶量和成分的表型数据。使用非参数检验和主成分分析研究了加性和显性效应对乳成分和质量的影响,以防止 SNP 之间的多重共线性。在 4 个外显子(CSN1S1 和 CSN3)、1 个外显子 7(CSN2)和 1 个外显子 15(CSN1S2)中发现了 2 个缺失,频率范围从 0.12 到 0.50。Bonferroni 校正的显著 SNP 加性和显性效应被发现与产奶量、脂肪、蛋白质、干物质和乳糖以及体细胞有关。外显子 15 和 7 与产奶量和成分显著相关,除了乳糖和体细胞,而外显子 4 与产奶量和成分显著相关,除了蛋白质和干物质。SNP 与体细胞的关联比与产奶量和成分的关联较少且较弱。随着酪蛋白的增加,体细胞减少,降低了牛奶的酶活性和食用适宜性。因此,在育种计划中纳入分子信息可能会提高生产效率,因为选择不利的等位基因可以防止其显性效应带来的妥协。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验