SRUC, Roslin Institute Building, Edinburgh, United Kingdom.
PLoS One. 2013 Jun 12;8(6):e65766. doi: 10.1371/journal.pone.0065766. Print 2013.
Detailed biological analyses (e.g. epidemiological, genetic) of animal health and fitness in the field are limited by the lack of large-scale recording of individual animals. An alternative approach is to identify immune traits that are associated with these important functions and can be subsequently used in more detailed studies. We have used an experimental dairy herd with uniquely dense phenotypic data to identify a range of potentially useful immune traits correlated with enhanced (or depressed) health and fitness. Blood samples from 248 dairy cows were collected at two-monthly intervals over a 10-month period and analysed for a number of immune traits, including levels of serum proteins associated with the innate immune response and circulating leukocyte populations. Immune measures were matched to individual cow records related to productivity, fertility and disease. Correlations between traits were calculated using bivariate analyses based on animal repeatability and random regression models with a Bonferroni correction to account for multiple testing. A number of significant correlations were found between immune traits and other recorded traits including: CD4(+):CD8(+) T lymphocyte ratio and subclinical mastitis; % CD8(+) lymphocytes and fertility; % CD335(+) natural killer cells and lameness episodes; and serum haptoglobin levels and clinical mastitis. Importantly these traits were not associated with reduced productivity and, in the case of cellular immune traits, were highly repeatable. Moreover these immune traits displayed significant between-animal variation suggesting that they may be altered by genetic selection. This study represents the largest simultaneous analysis of multiple immune traits in dairy cattle to-date and demonstrates that a number of immune traits are associated with health events. These traits represent useful selection markers for future programmes aimed at improving animal health and fitness.
详细的动物健康和适应力的生物学分析(例如流行病学、遗传学)在野外受到缺乏对个体动物的大规模记录的限制。另一种方法是鉴定与这些重要功能相关的免疫特征,然后可以在更详细的研究中使用这些特征。我们使用具有独特密集表型数据的实验性奶牛群来鉴定一系列与增强(或降低)健康和适应力相关的潜在有用的免疫特征。从 248 头奶牛中采集血液样本,在 10 个月的时间内每隔两个月采集一次,并分析了许多免疫特征,包括与先天免疫反应相关的血清蛋白水平和循环白细胞群体。免疫措施与与生产力、生育力和疾病相关的个体牛记录相匹配。使用基于动物可重复性的双变量分析和具有 Bonferroni 校正的随机回归模型来计算特征之间的相关性,以考虑多次测试。在免疫特征和其他记录特征之间发现了许多显著的相关性,包括:CD4(+):CD8(+)T 淋巴细胞比值与亚临床乳腺炎;%CD8(+)淋巴细胞与生育力;%CD335(+)自然杀伤细胞与跛行发作;和血清触珠蛋白水平与临床乳腺炎。重要的是,这些特征与生产力下降无关,而且在细胞免疫特征的情况下,它们具有高度可重复性。此外,这些免疫特征表现出显著的个体间变异,表明它们可能因遗传选择而改变。本研究代表了迄今为止对奶牛多种免疫特征的最大规模的同步分析,并表明许多免疫特征与健康事件相关。这些特征代表了未来旨在改善动物健康和适应力的计划的有用选择标记。