Ruchay Alexey, Kolpakov Vladimir, Kosyan Dianna, Rusakova Elena, Dorofeev Konstantin, Guo Hao, Ferrari Giovanni, Pezzuolo Andrea
Federal Research Centre of Biological Systems and Agro-Technologies of the Russian Academy of Sciences, 460000 Orenburg, Russia.
Department of Mathematics, Chelyabinsk State University, 454001 Chelyabinsk, Russia.
Animals (Basel). 2022 Aug 19;12(16):2128. doi: 10.3390/ani12162128.
In beef cattle breeding, genome-wide association studies (GWAS) using single nucleotide polymorphisms (SNPs) arrays can reveal many loci of various production traits, such as growth, productivity, and meat quality. With the development of genome sequencing technologies, new opportunities are opening up for more accurate identification of areas associated with these traits. This article aims to develop a novel approach to the lifetime evaluation of cattle by 3-D visualization of economic-biological and genetic features. The purpose of this study was to identify significant variants underlying differences in the qualitative characteristics of meat, using imputed data on the sequence of the entire genome. Samples of biomaterial of young Aberdeen-Angus breed cattle (n = 96) were the material for carrying out genome-wide SNP genotyping. Genotyping was performed using a high-density DNA chip Bovine GPU HD BeadChip (Illumina Inc., San Diego, CA, USA), containing ~150 thousand SNPs. The following indicators were selected as phenotypic features: chest width and chest girth retrieved by 3-D model and meat output on the bones. Correlation analysis showed a reliable positive relationship between chest width and meat output on the bones, which can potentially be used for lifetime evaluation of meat productivity of animals.
在肉牛育种中，利用单核苷酸多态性（SNP）阵列进行全基因组关联研究（GWAS）可以揭示许多与各种生产性状相关的基因座，如生长、生产力和肉质。随着基因组测序技术的发展，为更准确地识别与这些性状相关的区域带来了新的机遇。本文旨在通过对经济生物学和遗传特征的三维可视化，开发一种新的肉牛终身评估方法。本研究的目的是利用全基因组序列的推算数据，确定肉质品质特征差异背后的显著变异。来自阿伯丁-安格斯品种幼年肉牛（n = 96）的生物材料样本是进行全基因组SNP基因分型的材料。基因分型使用高密度DNA芯片牛GPU HD BeadChip（美国加利福尼亚州圣地亚哥的Illumina公司）进行，该芯片包含约15万个SNP。选择以下指标作为表型特征：通过三维模型获取的胸宽和胸围以及骨上肉产量。相关性分析表明胸宽与骨上肉产量之间存在可靠的正相关关系，这有可能用于动物肉生产力的终身评估。
