High-throughput Phenotyping of Rumen Microbial Contents Using Buccal Swabs

The rumen microbial community is the agent that allows cattle and other ruminants to process complex plant polymers into digestible fatty acids. Traditional methods to sample rumen microbes often involve labor-intensive stomach tubing, or invasive surgeries to access the rumen lumen via cannula port...

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Veröffentlicht in:Journal of animal science 2020-11, Vol.98, p.444-444
Hauptverfasser: Young, Juliana, Skarlupka, Joseph H, Tassinari, Rafael, Fischer, Amelie, Kalscheur, Kenneth, McClure, Jennifer, Weimer, Paul, Suen, Garret, Bickhart, Derek M
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container_title Journal of animal science
container_volume 98
creator Young, Juliana
Skarlupka, Joseph H
Tassinari, Rafael
Fischer, Amelie
Kalscheur, Kenneth
McClure, Jennifer
Weimer, Paul
Suen, Garret
Bickhart, Derek M
description The rumen microbial community is the agent that allows cattle and other ruminants to process complex plant polymers into digestible fatty acids. Traditional methods to sample rumen microbes often involve labor-intensive stomach tubing, or invasive surgeries to access the rumen lumen via cannula ports, thereby limiting the number of animals that could be sampled in a specific study. In this study, we tested the viability of using buccal swabs as a proxy of the rumen microbial contents in a timecourse experiment on eight cannulated cows. Rumen contents and buccal swabs were collected at six equally spaced timepoints, with the first timepoint being 2 hours prior to feeding. Simpson diversity and Shannon evenness estimates of the microbial counts of each sample revealed that the first timepoint had the lowest diversity and highest evenness (Tukey HSD < 0.05) out of all other timepoints. Principal component analysis confirmed that the buccal swab samples from the first timepoint were the most similar to paired rumen samples taken at the same times. Using a Random Forest Classifier analysis, we estimated the Gini importance scores for individual microbial taxa as a proxy of their uniqueness to the rumen or oral environments of the cows. We identified 18 oralonly microbial taxa that are contaminants and could be removed from future comparisons using this method. Finally, we attempted to estimate the exact relative abundance of rumen microbial taxa from buccal swab samples using paired rumen-swab data in a Random Forest Regression model. The model was found to have moderate (~38%) accuracy in cross-validation studies. Our data suggests that buccal swabs can serve as fast and suitable proxies for rumen microbial contents of dairy cattle, but that additional factors must be measured to improve direct regression of results to those of the rumen.
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Using a Random Forest Classifier analysis, we estimated the Gini importance scores for individual microbial taxa as a proxy of their uniqueness to the rumen or oral environments of the cows. We identified 18 oralonly microbial taxa that are contaminants and could be removed from future comparisons using this method. Finally, we attempted to estimate the exact relative abundance of rumen microbial taxa from buccal swab samples using paired rumen-swab data in a Random Forest Regression model. The model was found to have moderate (~38%) accuracy in cross-validation studies. 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source Oxford University Press Journals All Titles (1996-Current); EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Cattle
Contaminants
Dairy cattle
Fatty acids
Fermentation
Genotype & phenotype
Microbial contamination
Microbiology
Microorganisms
Phenotyping
Pollutant removal
Polymers
Principal components analysis
Regression analysis
Regression models
Relative abundance
Rumen
Surgery
title High-throughput Phenotyping of Rumen Microbial Contents Using Buccal Swabs
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