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...
Gespeichert in:
Veröffentlicht in: | Journal of animal science 2020-11, Vol.98, p.444-444 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 444 |
---|---|
container_issue | |
container_start_page | 444 |
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. |
format | Article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2502600133</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2502600133</sourcerecordid><originalsourceid>FETCH-proquest_journals_25026001333</originalsourceid><addsrcrecordid>eNqNjkkKwjAARYMoWIc7BFwHMpBStxalCII4rEta0ialJjUD4u2t4AFcfXjvLf4EJIRTjhhJ2RQkGFOCsozQOVh432FMKN_yBBwL3SoUlLOxVUMM8KykseE9aNNC28BLfEgDT7p2ttKih7k1QZrg4d1_i12s65FeX6LyKzBrRO_l-rdLsDnsb3mBBmefUfpQdjY6M6qSckzT8QNj7L_qA8yjPdk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2502600133</pqid></control><display><type>article</type><title>High-throughput Phenotyping of Rumen Microbial Contents Using Buccal Swabs</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Young, Juliana ; Skarlupka, Joseph H ; Tassinari, Rafael ; Fischer, Amelie ; Kalscheur, Kenneth ; McClure, Jennifer ; Weimer, Paul ; Suen, Garret ; Bickhart, Derek M</creator><creatorcontrib>Young, Juliana ; Skarlupka, Joseph H ; Tassinari, Rafael ; Fischer, Amelie ; Kalscheur, Kenneth ; McClure, Jennifer ; Weimer, Paul ; Suen, Garret ; Bickhart, Derek M</creatorcontrib><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.</description><identifier>ISSN: 0021-8812</identifier><identifier>EISSN: 1525-3163</identifier><language>eng</language><publisher>Champaign: Oxford University Press</publisher><subject>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</subject><ispartof>Journal of animal science, 2020-11, Vol.98, p.444-444</ispartof><rights>Copyright Oxford University Press Nov 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Young, Juliana</creatorcontrib><creatorcontrib>Skarlupka, Joseph H</creatorcontrib><creatorcontrib>Tassinari, Rafael</creatorcontrib><creatorcontrib>Fischer, Amelie</creatorcontrib><creatorcontrib>Kalscheur, Kenneth</creatorcontrib><creatorcontrib>McClure, Jennifer</creatorcontrib><creatorcontrib>Weimer, Paul</creatorcontrib><creatorcontrib>Suen, Garret</creatorcontrib><creatorcontrib>Bickhart, Derek M</creatorcontrib><title>High-throughput Phenotyping of Rumen Microbial Contents Using Buccal Swabs</title><title>Journal of animal science</title><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.</description><subject>Cattle</subject><subject>Contaminants</subject><subject>Dairy cattle</subject><subject>Fatty acids</subject><subject>Fermentation</subject><subject>Genotype & phenotype</subject><subject>Microbial contamination</subject><subject>Microbiology</subject><subject>Microorganisms</subject><subject>Phenotyping</subject><subject>Pollutant removal</subject><subject>Polymers</subject><subject>Principal components analysis</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Relative abundance</subject><subject>Rumen</subject><subject>Surgery</subject><issn>0021-8812</issn><issn>1525-3163</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNjkkKwjAARYMoWIc7BFwHMpBStxalCII4rEta0ialJjUD4u2t4AFcfXjvLf4EJIRTjhhJ2RQkGFOCsozQOVh432FMKN_yBBwL3SoUlLOxVUMM8KykseE9aNNC28BLfEgDT7p2ttKih7k1QZrg4d1_i12s65FeX6LyKzBrRO_l-rdLsDnsb3mBBmefUfpQdjY6M6qSckzT8QNj7L_qA8yjPdk</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Young, Juliana</creator><creator>Skarlupka, Joseph H</creator><creator>Tassinari, Rafael</creator><creator>Fischer, Amelie</creator><creator>Kalscheur, Kenneth</creator><creator>McClure, Jennifer</creator><creator>Weimer, Paul</creator><creator>Suen, Garret</creator><creator>Bickhart, Derek M</creator><general>Oxford University Press</general><scope>3V.</scope><scope>7RQ</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>U9A</scope></search><sort><creationdate>20201101</creationdate><title>High-throughput Phenotyping of Rumen Microbial Contents Using Buccal Swabs</title><author>Young, Juliana ; Skarlupka, Joseph H ; Tassinari, Rafael ; Fischer, Amelie ; Kalscheur, Kenneth ; McClure, Jennifer ; Weimer, Paul ; Suen, Garret ; Bickhart, Derek M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_25026001333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Cattle</topic><topic>Contaminants</topic><topic>Dairy cattle</topic><topic>Fatty acids</topic><topic>Fermentation</topic><topic>Genotype & phenotype</topic><topic>Microbial contamination</topic><topic>Microbiology</topic><topic>Microorganisms</topic><topic>Phenotyping</topic><topic>Pollutant removal</topic><topic>Polymers</topic><topic>Principal components analysis</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Relative abundance</topic><topic>Rumen</topic><topic>Surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Young, Juliana</creatorcontrib><creatorcontrib>Skarlupka, Joseph H</creatorcontrib><creatorcontrib>Tassinari, Rafael</creatorcontrib><creatorcontrib>Fischer, Amelie</creatorcontrib><creatorcontrib>Kalscheur, Kenneth</creatorcontrib><creatorcontrib>McClure, Jennifer</creatorcontrib><creatorcontrib>Weimer, Paul</creatorcontrib><creatorcontrib>Suen, Garret</creatorcontrib><creatorcontrib>Bickhart, Derek M</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Career & Technical Education Database</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Journal of animal science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Young, Juliana</au><au>Skarlupka, Joseph H</au><au>Tassinari, Rafael</au><au>Fischer, Amelie</au><au>Kalscheur, Kenneth</au><au>McClure, Jennifer</au><au>Weimer, Paul</au><au>Suen, Garret</au><au>Bickhart, Derek M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-throughput Phenotyping of Rumen Microbial Contents Using Buccal Swabs</atitle><jtitle>Journal of animal science</jtitle><date>2020-11-01</date><risdate>2020</risdate><volume>98</volume><spage>444</spage><epage>444</epage><pages>444-444</pages><issn>0021-8812</issn><eissn>1525-3163</eissn><abstract>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.</abstract><cop>Champaign</cop><pub>Oxford University Press</pub></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0021-8812 |
ispartof | Journal of animal science, 2020-11, Vol.98, p.444-444 |
issn | 0021-8812 1525-3163 |
language | eng |
recordid | cdi_proquest_journals_2502600133 |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T21%3A27%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=High-throughput%20Phenotyping%20of%20Rumen%20Microbial%20Contents%20Using%20Buccal%20Swabs&rft.jtitle=Journal%20of%20animal%20science&rft.au=Young,%20Juliana&rft.date=2020-11-01&rft.volume=98&rft.spage=444&rft.epage=444&rft.pages=444-444&rft.issn=0021-8812&rft.eissn=1525-3163&rft_id=info:doi/&rft_dat=%3Cproquest%3E2502600133%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2502600133&rft_id=info:pmid/&rfr_iscdi=true |