Genomewide association study for production and meat quality traits in Canchim beef cattle.
Genomewide association study for production and meat quality traits in Canchim beef cattle.
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Canchim 肉牛生产和肉品质性状的全基因组关联研究。
DOI：
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发表时间：
2017
影响因子：
3.3
通讯作者：
R. A. Torres
中科院分区：
文献类型：
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作者：
G. G. Santiago;F. Siqueira;F. Cardoso;L. Regitano;R. Ventura;B. Sollero;M. D. Souza;F. B. Mokry;A. B. R. Ferreira;R. A. Torres
牛胴体的商业价值是由一系列特性决定的，如重量、产量、背部脂肪厚度和大理石纹；因此，生长、肉类和胴体品质性状的遗传改良是为供应链增加价值的重要工具。全基因组关联研究（GWAS）能够识别控制数量性状（QTL）表型表达的位点。因此，本工作的目的是通过GWAS来鉴定与灿灿肉牛生长、胴体性状和肉质相关的基因组区域和基因。这些性状分别是初生体重（YW）、肋眼面积（REA）、背部脂肪厚度（BFT）和大理石纹（MARB）。为了增加样本量和标记密度，进行基因型输入，只使用输入精度大于95%的标记。全基因组关联研究采用贝叶斯方法，采用贝叶斯B统计方法，结合来自Canchim品种和MA遗传组（Charolais公牛和一半Canchim +一半Zebu奶牛的后代）的614只动物的基因型和表型。本研究确定了1个和4个基因组区域，分别解释了REA和YW遗传变异的0.23%和7.35%。这些区域共包含19个基因，其中7个基因通过功能分析被分类为具有生物学功能。BFT和MARB未观察到显著相关性。先前文献中描述的QTL的鉴定强化了本研究中发现的关联。
The commercial value of the bovine carcass is determined by a set of traits, such as weight, yield, back fat thickness, and marbling; therefore, the genetic improvement of growth, meat, and carcass quality traits is an important tool to add value to the supply chain. Genomewide association studies (GWAS) enable the identification of loci that control phenotypic expression of quantitative traits (QTL). Therefore, the objective of this work was to perform a GWAS to identify genomic regions and genes associated with growth, carcass traits, and meat quality in Canchim beef cattle. These traits were yearling weight (YW), rib eye area (REA), back fat thickness (BFT), and marbling (MARB). To increase sample size and marker density, genotype imputation was performed, and only markers imputed with greater than 95% accuracy were used. Genomewide association study was performed using a Bayesian approach, by the Bayes B statistical method, incorporating genotypes and phenotypes from 614 animals from both the Canchim breed and the MA genetic group (offspring of Charolais bulls and one-half Canchim + one-half Zebu cows). This investigation identified 1 and 4 genomic regions explaining 0.23 and 7.35% of the genetic variance for REA and YW, respectively. These regions harbor a total of 19 genes, 7 of which were classified for biological functions by functional analysis. Significant associations were not observed for BFT and MARB. The identification of QTL that had been previously described in the literature reinforces associations found in this study.