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巴西荷斯坦牛群体的产奶性状全基因组关联研究。

Genome-wide association study for milk production traits in a Brazilian Holstein population.

机构信息

Department of Animal Science, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418900, Brazil.

Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350.

出版信息

J Dairy Sci. 2019 Jun;102(6):5305-5314. doi: 10.3168/jds.2018-14811. Epub 2019 Mar 21.

Abstract

Advances in the molecular area of selection have expanded knowledge of the genetic architecture of complex traits through genome-wide association studies (GWAS). Several GWAS have been performed so far, but confirming these results is not always possible due to several factors, including environmental conditions. Thus, our objective was to identify genomic regions associated with traditional milk production traits, including milk yield, somatic cell score, fat, protein and lactose percentages, and fatty acid composition in a Holstein cattle population producing under tropical conditions. For this, 75,228 phenotypic records from 5,981 cows and genotypic data of 56,256 SNP from 1,067 cows were used in a weighted single-step GWAS. A total of 46 windows of 10 SNP explaining more than 1% of the genetic variance across 10 Bos taurus autosomes (BTA) harbored well-known and novel genes. The MGST1 (BTA5), ABCG2 (BTA6), DGAT1 (BTA14), and PAEP (BTA11) genes were confirmed within some of the regions identified in our study. Potential novel genes involved in tissue damage and repair of the mammary gland (COL18A1), immune response (LTTC19), glucose homeostasis (SLC37A1), synthesis of unsaturated fatty acids (LTBP1), and sugar transport (SLC37A1 and MFSD4A) were found for milk yield, somatic cell score, fat percentage, and fatty acid composition. Our findings may assist genomic selection by using these regions to design a customized SNP array to improve milk production traits on farms with similar environmental conditions.

摘要

选择的分子领域的进展通过全基因组关联研究 (GWAS) 扩展了对复杂性状遗传结构的认识。迄今为止已经进行了几项 GWAS,但由于包括环境条件在内的多种因素,并不总能确认这些结果。因此,我们的目标是确定与传统牛奶生产性状相关的基因组区域,包括在热带条件下生产的荷斯坦奶牛群体的产奶量、体细胞评分、脂肪、蛋白质和乳糖百分比以及脂肪酸组成。为此,我们使用了 5981 头奶牛的 75228 个表型记录和 1067 头奶牛的 56256 个 SNP 的基因型数据,在加权一步 GWAS 中进行了分析。在 10 个 Bos taurus 染色体(BTA)上,有 46 个 SNP 窗口解释了超过 1%的遗传方差,这些 SNP 窗口携带有已知和新的基因。MGST1(BTA5)、ABCG2(BTA6)、DGAT1(BTA14)和 PAEP(BTA11)基因在我们研究中确定的一些区域内得到了证实。在与产奶量、体细胞评分、脂肪百分比和脂肪酸组成相关的区域中,还发现了一些潜在的与组织损伤和修复有关的新基因(COL18A1)、免疫反应(LTTC19)、葡萄糖稳态(SLC37A1)、不饱和脂肪酸合成(LTBP1)和糖转运(SLC37A1 和 MFSD4A)。这些发现可以通过使用这些区域设计定制的 SNP 芯片来辅助基因组选择,从而在具有相似环境条件的农场中改善牛奶生产性状。

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