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GENOTEND 芯片:一种分析牛肉肌肉中基因表达的新工具,用于预测牛肉质量。

The GENOTEND chip: a new tool to analyse gene expression in muscles of beef cattle for beef quality prediction.

机构信息

INRA, UMR1213, Unité de Recherches sur les Herbivores, Theix, Saint-Genès-Champanelle, F-63122, France.

出版信息

BMC Vet Res. 2012 Aug 15;8:135. doi: 10.1186/1746-6148-8-135.

Abstract

BACKGROUND

Previous research programmes have described muscle biochemical traits and gene expression levels associated with beef tenderness. One of our results concerning the DNAJA1 gene (an Hsp40) was patented. This study aims to confirm the relationships previously identified between two gene families (heat shock proteins and energy metabolism) and beef quality.

RESULTS

We developed an Agilent chip with specific probes for bovine muscular genes. More than 3000 genes involved in muscle biology or meat quality were selected from genetic, proteomic or transcriptomic studies, or from scientific publications. As far as possible, several probes were used for each gene (e.g. 17 probes for DNAJA1). RNA from Longissimus thoracis muscle samples was hybridised on the chips. Muscles samples were from four groups of Charolais cattle: two groups of young bulls and two groups of steers slaughtered in two different years. Principal component analysis, simple correlation of gene expression levels with tenderness scores, and then multiple regression analysis provided the means to detect the genes within two families (heat shock proteins and energy metabolism) which were the most associated with beef tenderness. For the 25 Charolais young bulls slaughtered in year 1, expression levels of DNAJA1 and other genes of the HSP family were related to the initial or overall beef tenderness. Similarly, expression levels of genes involved in fat or energy metabolism were related with the initial or overall beef tenderness but in the year 1 and year 2 groups of young bulls only. Generally, the genes individually correlated with tenderness are not consistent across genders and years indicating the strong influence of rearing conditions on muscle characteristics related to beef quality. However, a group of HSP genes, which explained about 40% of the variability in tenderness in the group of 25 young bulls slaughtered in year 1 (considered as the reference group), was validated in the groups of 30 Charolais young bulls slaughtered in year 2, and in the 21 Charolais steers slaughtered in year 1, but not in the group of 19 steers slaughtered in year 2 which differ from the reference group by two factors (gender and year). When the first three groups of animals were analysed together, this subset of genes explained a 4-fold higher proportion of the variability in tenderness than muscle biochemical traits.

CONCLUSION

This study underlined the relevance of the GENOTEND chip to identify markers of beef quality, mainly by confirming previous results and by detecting other genes of the heat shock family as potential markers of beef quality. However, it was not always possible to extrapolate the relevance of these markers to all animal groups which differ by several factors (such as gender or environmental conditions of production) from the initial population of reference in which these markers were identified.

摘要

背景

先前的研究项目已经描述了与牛肉嫩度相关的肌肉生化特征和基因表达水平。我们的一个关于 DNAJA1 基因(一种 HSP40)的研究结果已获得专利。本研究旨在证实先前确定的两个基因家族(热休克蛋白和能量代谢)与牛肉质量之间的关系。

结果

我们开发了一种带有牛肌肉基因特异性探针的安捷伦芯片。从遗传、蛋白质组或转录组研究或科学出版物中选择了 3000 多个与肌肉生物学或肉质相关的基因。尽可能为每个基因使用多个探针(例如,DNAJA1 有 17 个探针)。来自长肌胸肌样本的 RNA 与芯片杂交。肌肉样本来自 4 组夏洛莱牛:2 组年轻公牛和 2 组阉牛,分别在两年的不同时间屠宰。主成分分析、基因表达水平与嫩度评分的简单相关,以及随后的多元回归分析,为检测与牛肉嫩度最相关的两个家族(热休克蛋白和能量代谢)内的基因提供了手段。对于在第 1 年屠宰的 25 头夏洛莱年轻公牛,DNAJA1 和 HSP 家族的其他基因的表达水平与牛肉嫩度的初始或总体有关。同样,参与脂肪或能量代谢的基因的表达水平与牛肉嫩度的初始或总体有关,但仅在第 1 年和第 2 年的年轻公牛组中。通常,与嫩度单独相关的基因在性别和年份之间并不一致,这表明饲养条件对与牛肉质量相关的肌肉特征有很强的影响。然而,在第 1 年屠宰的 25 头年轻公牛组中(视为参考组),一组 HSP 基因解释了约 40%的嫩度变异性,在第 2 年屠宰的 30 头夏洛莱年轻公牛组和第 1 年屠宰的 21 头夏洛莱阉牛组中得到了验证,但在第 2 年屠宰的 19 头阉牛组中未得到验证,因为这组与参考组有两个因素(性别和年份)不同。当将前三组动物一起分析时,这组基因解释了嫩度变异性的 4 倍以上,比肌肉生化特征更为显著。

结论

本研究强调了 GENOTEND 芯片在鉴定牛肉质量标记方面的相关性,主要是通过确认先前的结果,并通过检测热休克家族的其他基因作为牛肉质量的潜在标记来证实。然而,并非总是可以推断这些标记在所有动物群体中的相关性,这些动物群体在性别或生产环境条件等方面与最初的参考群体有很大的不同。

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