2016
DOI: 10.1371/journal.pone.0151220
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Oral Samples as Non-Invasive Proxies for Assessing the Composition of the Rumen Microbial Community

Abstract: Microbial community analysis was carried out on ruminal digesta obtained directly via rumen fistula and buccal fluid, regurgitated digesta (bolus) and faeces of dairy cattle to assess if non-invasive samples could be used as proxies for ruminal digesta. Samples were collected from five cows receiving grass silage based diets containing no additional lipid or four different lipid supplements in a 5 x 5 Latin square design. Extracted DNA was analysed by qPCR and by sequencing 16S and 18S rRNA genes or the fungal… Show more

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Cited by 75 publications
(106 citation statements)
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“…The microbiota of the oral vestibular mucosa in horses has also not been previously investigated. In our mares, the phylum-level composition was more similar to human buccal microbiota than to bovine oral microbiota, which is affected by rumination 46,47 . However, Bacteroidetes were less abundant in the horses than in the human.…”
Section: Discussionmentioning
confidence: 69%
“…The microbiota of the oral vestibular mucosa in horses has also not been previously investigated. In our mares, the phylum-level composition was more similar to human buccal microbiota than to bovine oral microbiota, which is affected by rumination 46,47 . However, Bacteroidetes were less abundant in the horses than in the human.…”
Section: Discussionmentioning
confidence: 69%
“…In this study we evaluated the ability of the buccal swabbing method to describe bacterial communities found in two types of rumen samples taken at six distinct sampling times over the course of ten hours. Buccal swab samples are an attractive alternative to more labor-intensive methods of sampling the rumen microbial community, but may suffer from bias due to contamination by the surrounding oral community (9, 10). We first sought to identify the effect of sampling time on buccal swab community composition as we hypothesized that animal rumination patterns and salivary flow may change the relative abundance of key members of the rumen community.…”
Section: Discussionmentioning
confidence: 99%
“…In order to identify non-rumen taxa in buccal swab samples, we employed a machine learning classifier to assist in the filtering of oral and silage microbial communities in buccal swab samples. As has been noted previously (9), the presence of the commensal oral microbial community in buccal swab samples prevents direct comparisons between rumen content samples and buccal swabs and must be filtered from buccal swab samples prior to analysis using manual and mathematical methods (9, 10). By using a random forest classifier, we were able to assign importance estimates to individual microbial taxa based on their use as a feature in our classification models, as has been done previously (46, 47).…”
Section: Discussionmentioning
confidence: 99%
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