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采用时间序列和随机森林分类方法验证牛口腔采样作为瘤胃微生物组替代物的有效性。

Validating the Use of Bovine Buccal Sampling as a Proxy for the Rumen Microbiota by Using a Time Course and Random Forest Classification Approach.

机构信息

US Dairy Forage Research Center, USDA-Agricultural Research Service, Madison, Wisconsin, USA.

Department of Bacteriology, University of Wisconsin, Madison, Wisconsin, USA.

出版信息

Appl Environ Microbiol. 2020 Aug 18;86(17). doi: 10.1128/AEM.00861-20.

Abstract

Analysis of the cow microbiome, as well as host genetic influences on the establishment and colonization of the rumen microbiota, is critical for development of strategies to manipulate ruminal function toward more efficient and environmentally friendly milk production. To this end, the development and validation of noninvasive methods to sample the rumen microbiota at a large scale are required. In this study, we further optimized the analysis of buccal swab samples as a proxy for direct bacterial samples of the rumen of dairy cows. To identify an optimal time for sampling, we collected buccal swab and rumen samples at six different time points relative to animal feeding. We then evaluated several biases in these samples using a machine learning classifier (random forest) to select taxa that discriminate between buccal swab and rumen samples. Differences in the inverse Simpson's diversity, Shannon's evenness, and Bray-Curtis dissimilarities between methods were significantly less apparent when sampling was performed prior to morning feeding ( < 0.05), suggesting that this time point was optimal for representative sampling. In addition, the random forest classifier was able to accurately identify nonrumen taxa, including 10 oral and putative feed-associated taxa. Two highly prevalent (>60%) taxa in buccal and rumen samples had significant variance in relative abundances between sampling methods but could be qualitatively assessed via regular buccal swab sampling. This work not only provides new insights into the oral community of ruminants but also further validates and refines buccal swabbing as a method to assess the rumen bacterial in large herds. The gastrointestinal tracts of ruminants harbor a diverse microbial community that coevolved symbiotically with the host, influencing its nutrition, health, and performance. While the influence of environmental factors on rumen microbes is well documented, the process by which host genetics influences the establishment and colonization of the rumen microbiota still needs to be elucidated. This knowledge gap is due largely to our inability to easily sample the rumen microbiota. There are three common methods for rumen sampling but all of them present at least one disadvantage, including animal welfare, sample quality, labor, and scalability. The development and validation of noninvasive methods, such as buccal swabbing, for large-scale rumen sampling is needed to support studies that require large sample sizes to generate reliable results. The validation of buccal swabbing will also support the development of molecular tools for the early diagnosis of metabolic disorders associated with microbial changes in large herds.

摘要

分析牛的微生物组,以及宿主遗传对瘤胃微生物群落建立和定植的影响,对于开发策略以操纵瘤胃功能从而实现更高效和更环保的牛奶生产至关重要。为此,需要开发和验证大规模非侵入性采样瘤胃微生物组的方法。在这项研究中,我们进一步优化了牛口腔拭子样本的分析,作为奶牛瘤胃液直接细菌样本的替代物。为了确定采样的最佳时间,我们在相对于动物饲养的六个不同时间点采集了口腔拭子和瘤胃液样本。然后,我们使用机器学习分类器(随机森林)评估了这些样本中的几个偏差,以选择区分口腔拭子和瘤胃液样本的分类群。在采样时间早于早上喂食时( < 0.05),方法之间的逆辛普森多样性、香农均匀度和 Bray-Curtis 不相似性的差异明显较小,这表明此时点是代表性采样的最佳时间。此外,随机森林分类器能够准确识别非瘤胃分类群,包括 10 种口腔和假定与饲料相关的分类群。在口腔和瘤胃液样本中高度普遍(>60%)的两种分类群的相对丰度在采样方法之间存在显著差异,但可以通过常规口腔拭子采样进行定性评估。这项工作不仅为反刍动物的口腔群落提供了新的见解,而且还进一步验证和完善了口腔拭子采样作为评估大型牛群瘤胃细菌的方法。反刍动物的胃肠道中栖息着一个多样化的微生物群落,与宿主共生进化,影响其营养、健康和性能。虽然环境因素对瘤胃微生物的影响已有充分记录,但宿主遗传对瘤胃微生物群落建立和定植的影响过程仍有待阐明。造成这一知识空白的主要原因是我们难以轻松地采样瘤胃微生物组。有三种常见的瘤胃液采样方法,但它们都至少存在一个缺点,包括动物福利、样品质量、劳动力和可扩展性。需要开发和验证非侵入性方法,例如口腔拭子采样,以支持需要大规模采样来产生可靠结果的研究。口腔拭子采样的验证也将支持开发用于早期诊断与大型牛群微生物变化相关的代谢紊乱的分子工具。

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