摘要
BackgroundAs the global population continues to grow, competition for resources between humans and livestock has been intensifying. Increasing milk protein production and improving feed efficiency are becoming increasingly important to meet the demand for high-quality dairy protein. In a previous study, we found that milk protein yield in dairy cows was associated with the rumen microbiome. The objective of this study was to elucidate the potential microbial features that underpins feed efficiency in dairy cows using metagenomics, metatranscriptomics, and metabolomics.ResultsComparison of metagenomic and metatranscriptomic data revealed that the latter was a better approach to uncover the associations between rumen microbial functions and host performance. Co-occurrence network analysis of the rumen microbiome revealed differential microbial interaction patterns between the animals with different feed efficiency, with high-efficiency animals having more and stronger associations than low-efficiency animals. In the rumen of high-efficiency animals, Selenomonas and members of the Succinivibrionaceae family positively interacted with each other, functioning as keystone members due to their essential ecological functions and active carbohydrate metabolic functions. At the metabolic level, analysis using random forest machine learning suggested that six ruminal metabolites (all derived from carbohydrates) could be used as metabolic markers that can potentially differentiate efficient and inefficient microbiomes, with an accuracy of prediction of 95.06%.ConclusionsThe results of the current study provided new insights into the new ruminal microbial features associated with feed efficiency in dairy cows, which may improve the ability to select animals for better performance in the dairy industry. The fundamental knowledge will also inform future interventions to improve feed efficiency in dairy cows. Video Abstract.
摘要译文
背景，全球人口继续增长，人类与牲畜之间的资源竞争一直在增强。增加牛奶蛋白的生产和提高的饲料效率正越来越重要，可以满足对高质量乳制品蛋白质的需求。在先前的研究中，我们发现乳制品牛奶蛋白质产量与瘤胃微生物组有关。本研究的目的是阐明使用Metagenomics，MetaTransframeomics和代谢组学的乳制品奶牛的潜在微生物特征。Metagenomic和MetaTranscriptomic数据的比例显示，后者是揭示瘤胃微生物功能之间的关联的更好方法主机性能。瘤胃微生物组的共同发生网络分析在具有不同饲料效率之间的动物之间透明微生物相互作用模式，高效动物具有比低效率更强的缔合。在高效动物的瘤胃中，Selenomonas和琥珀素纤维症的成员彼此正面互动，由于它们的基本生态功能和活性碳水化合物代谢功能而发挥作用。在代谢水平，使用随机林机学习的分析表明，六种瘤胃代谢物（衍生自碳水化合物）可用作可以潜在地分化有效和低效的微生物体的代谢标志物，其预测的预测性为95.06％。结论的结果目前的研究提供了新的铭文，进入与奶牛饲料效率相关的新瘤胃微生物特征，这可能会改善为乳制品行业提供更好的性能的能力。基本知识还将通知未来的干预措施，以提高奶牛的饲料效率。视频摘要。
Xue; Ming-Yuan[1];Xie; Yun-Yi[1];Zhong; Yifan[1];Ma; Xiao-Jiao[1];Sun; Hui-Zeng[1];Liu; Jian-Xin[1]. Integrated meta-omics reveals new ruminal microbial features associated with feed efficiency in dairy cattle[J]. Microbiome, 2022,10(1): 1-14