Scibus, Camden, NSW, Australia, 2570; Sydney Institute of Agriculture, School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camden, NSW, Australia, 2570.
Department of Animal and Range Sciences, Montana State University, Bozeman 59717.
J Dairy Sci. 2023 May;106(5):3176-3191. doi: 10.3168/jds.2022-22573. Epub 2023 Mar 7.
A multicenter observational study to evaluate genome-wide association was conducted in early-lactation Holstein cows (n = 293) from 36 herds in Canada, the USA, and Australia. Phenotypic observations included rumen metabolome, acidosis risk, ruminal bacterial taxa, and milk composition and yield measures. Diets ranged from pasture supplemented with concentrates to total mixed rations (nonfiber carbohydrates = 17 to 47, and neutral detergent fiber = 27 to 58% of dry matter). Rumen samples were collected <3 h after feeding and analyzed for pH, ammonia, d- and l-lactate, volatile fatty acid (VFA) concentrations, and abundance of bacterial phyla and families. Eigenvectors were produced using cluster and discriminant analyses from a combination of pH and ammonia, d-lactate, and VFA concentrations, and were used to estimate the probability of the risk of ruminal acidosis based on proximity to the centroid of 3 clusters, termed high (24.0% of cows), medium (24.2%), and low risk (51.8%) for acidosis. DNA of sufficient quality was successfully extracted from whole blood (218 cows) or hair (65 cows) collected simultaneously with the rumen samples and sequenced using the Geneseek Genomic Profiler Bovine 150K Illumina SNPchip. Genome-wide association used an additive model and linear regression with principal component analysis (PCA) population stratification and a Bonferroni correction for multiple comparisons. Population structure was visualized using PCA plots. Single genomic markers were associated with milk protein percent and the center logged ratio abundance of the phyla Chloroflexi, SR1, and Spirochaetes, and tended to be associated with milk fat yield, rumen acetate, butyrate, and isovalerate concentrations and with the probability of being in the low-risk acidosis group. More than one genomic marker was associated or tended to be associated with rumen isobutyrate and caproate concentrations, and the center log ratio of the phyla Bacteroidetes and Firmicutes and center log ratio of the families Prevotellaceae, BS11, S24-7, Acidaminococcaceae, Carnobacteriaceae, Lactobacillaceae, Leuconostocaceae, and Streptococcaceae. The provisional NTN4 gene, involved in several functions, had pleiotropy with 10 bacterial families, the phyla Bacteroidetes and Firmicutes, and butyrate. The ATP2CA1 gene, involved in the ATPase secretory pathway for Ca transport, overlapped for the families Prevotellaceae, S24-7, and Streptococcaceae, the phylum Bacteroidetes, and isobutyrate. No genomic markers were associated with milk yield, fat percentage, protein yield, total solids, energy-corrected milk, somatic cell count, rumen pH, ammonia, propionate, valerate, total VFA, and d-, l-, or total lactate concentrations, or probability of being in the high- or medium-risk acidosis groups. Genome-wide associations with the rumen metabolome, microbial taxa, and milk composition were present across a wide geographical and management range of herds, suggesting the existence of markers for the rumen environment but not for acidosis susceptibility. The variation in pathogenesis of ruminal acidosis in the small population of cattle in the high risk for acidosis group and the dynamic nature of the rumen as cows cycle through a bout of acidosis may have precluded the identification of markers for acidosis susceptibility. Despite a limited sample size, this study provides evidence of interactions between the mammalian genome, the rumen metabolome, ruminal bacteria, and milk protein percentage.
一项针对加拿大、美国和澳大利亚 36 个牛场的早期泌乳荷斯坦奶牛(n = 293)进行的全基因组关联的多中心观察性研究。表型观察包括瘤胃代谢组、酸中毒风险、瘤胃细菌分类群以及乳成分和产奶量测量。日粮范围从补充浓缩物的牧场到全混合日粮(非纤维碳水化合物= 17-47%,中性洗涤剂纤维= 27-58%干物质)。瘤胃液样本在饲喂后 <3 小时收集,并分析 pH 值、氨、d-和 l-乳酸、挥发性脂肪酸(VFA)浓度以及细菌门和科的丰度。使用聚类和判别分析从 pH 值和氨、d-乳酸和 VFA 浓度的组合中生成特征向量,并用于根据与 3 个聚类中心的距离估计瘤胃酸中毒风险的概率,称为高(24.0%的奶牛)、中(24.2%)和低风险(51.8%)酸中毒。从同时收集的瘤胃液样本中成功提取了足够质量的全血(218 头奶牛)或毛发(65 头奶牛)的 DNA,并使用 Geneseek Genomic Profiler Bovine 150K Illumina SNPchip 进行测序。全基因组关联使用加性模型和线性回归,带有主成分分析(PCA)的群体分层和多重比较的 Bonferroni 校正。使用 PCA 图可视化群体结构。单个基因组标记与乳蛋白百分比和 Chloroflexi、SR1 和螺旋体门的中心对数丰度比值相关,并且倾向于与乳脂产量、瘤胃乙酸盐、丁酸和异戊酸浓度以及处于低风险酸中毒组的概率相关。一个以上的基因组标记与瘤胃异丁酸和己酸浓度以及拟杆菌门和厚壁菌门的中心对数比值和 Prevotellaceae、BS11、S24-7、Acidaminococcaceae、Carnobacteriaceae、Lactobacillaceae、Leuconostocaceae 和 Streptococcaceae 的家族的中心对数比值相关或倾向于相关。暂定的 NTN4 基因参与多种功能,与 10 个细菌家族、拟杆菌门和厚壁菌门以及丁酸具有多效性。涉及 Ca 转运的 ATP2CA1 基因与 Prevotellaceae、S24-7 和 Streptococcaceae 家族、拟杆菌门和异丁酸重叠。没有基因组标记与产奶量、脂肪百分比、蛋白质产量、总固体、能量校正奶、体细胞计数、瘤胃 pH 值、氨、丙酸、戊酸、总 VFA、d-、l-或总乳酸浓度或处于高或中风险酸中毒组的概率相关。瘤胃代谢组、微生物分类群和乳成分的全基因组关联存在于牛群广泛的地理和管理范围内,这表明存在与瘤胃环境相关的标记物,但不存在与酸中毒易感性相关的标记物。在酸中毒风险高的小种群牛中,瘤胃酸中毒发病机制的变化以及牛在酸中毒发作期间的动态性质可能排除了酸中毒易感性标记物的鉴定。尽管样本量有限,但这项研究提供了哺乳动物基因组、瘤胃代谢组、瘤胃细菌和乳蛋白百分比之间相互作用的证据。