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对真实基因型和推算基因型的检查发现了76个与荷斯坦奶牛后乳房高度相关的单核苷酸多态性(SNP)。

Inspection of real and imputed genotypes reveled 76 SNPs associated to rear udder height in Holstein cattle.

作者信息

Gonzalez Mirvana, Villa Rafael, Villa Carlos, Gonzalez Victor, Montano Martin, Medina Gerardo, Mahadevan Pad

机构信息

Laboratory of Bioinformatics and Biofotonics, Engineering Institute, Autonomous University of Baja California, Mexicali, B.C, Mexico.

Institute for Research in Veterinary Science, Autonomous University of Baja California, Mexicali, B.C, Mexico.

出版信息

J Adv Vet Anim Res. 2020 Apr 13;7(2):234-241. doi: 10.5455/javar.2020.g415. eCollection 2020 Jun.

Abstract

OBJECTIVE

This paper presents the obtained result of a study that realizes to associate a set of real and imputed single nucleotide polymorphisms (SNP) genotypes to the rear udder height in Holstein cows.

MATERIALS AND METHODS

Forty-six Holstein cows from an arid zone of Mexico were phenotyped and genotyped for this study. Blood samples were used for DNA extraction, genotyping was performed with the Illumina BovineLD Bead chip which interrogates 6,912 SNPs genome-wide, and imputation was performed using the Findhap software. After QC filters, a total of 22,251 high quality and informative SNPs were inspected.

RESULTS

The results showed the detection of 76 significant SNPs throughout the complete genome. Significant SNPs fall inside 111 Quantitative Loci Traits related to protein percentage, milk yield, and fat, among others, in chromosomes 1, 2, 3, 5, 6, 9, 10, 11, 12, 13, 19, 20, 21, 23, 26, 27, and 29. Similarly, results confirm that a genotype imputation is a convenient option for genome-wide covering when selecting economic traits with low-density real SNP panels.

CONCLUSION

This study contributes to establishing a low-cost and profitable strategy for applying genomic selection in developing countries.

摘要

目的

本文介绍了一项研究的结果,该研究旨在将一组真实的和估算的单核苷酸多态性(SNP)基因型与荷斯坦奶牛的后乳房高度相关联。

材料与方法

本研究对来自墨西哥干旱地区的46头荷斯坦奶牛进行了表型分析和基因分型。采集血样用于DNA提取,使用Illumina BovineLD Bead芯片进行基因分型,该芯片可在全基因组范围内检测6912个SNP,并使用Findhap软件进行估算。经过质量控制筛选后,共检查了22251个高质量且信息丰富的SNP。

结果

结果显示在整个基因组中检测到76个显著的SNP。显著的SNP位于与蛋白质百分比、产奶量和脂肪等相关的111个数量性状位点内,分布在1、2、3、5、6、9、10、11、12、13、19、20、21、23、26、27和29号染色体上。同样,结果证实当使用低密度真实SNP面板选择经济性状时,基因型估算对于全基因组覆盖是一种方便的选择。

结论

本研究有助于在发展中国家建立一种低成本且有利可图的基因组选择应用策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/753f/7320818/b5de433d2dc4/JAVAR-7-234-g001.jpg

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