Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet
The factors that influence the diversity and composition of raw milk and fecal microbiota in healthy commercial dairy herds are not fully understood, partially because the majority of metataxonomic studies involve experimental farms and/or single factors. We analyzed the raw milk and fecal microbiot...
Gespeichert in:
Veröffentlicht in: | PloS one 2020-08, Vol.15 (8), p.e0237262-e0237262 |
---|---|
Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0237262 |
---|---|
container_issue | 8 |
container_start_page | e0237262 |
container_title | PloS one |
container_volume | 15 |
creator | Albonico, Francesca Barelli, Claudia Albanese, Davide Manica, Mattia Partel, Erika Rosso, Fausta Ripellino, Silvia Pindo, Massimo Donati, Claudio Zecconi, Alfonso Mortarino, Michele Hauffe, Heidi C |
description | The factors that influence the diversity and composition of raw milk and fecal microbiota in healthy commercial dairy herds are not fully understood, partially because the majority of metataxonomic studies involve experimental farms and/or single factors. We analyzed the raw milk and fecal microbiota of 100 healthy cows from 10 commercial alpine farms from the Province of Trento, Italy, using metataxonomics and applied statistical modelling to investigate which extrinsic and intrinsic parameters (e.g. herd, diet and milk characteristics) correlated with microbiota richness and composition in these relatively small traditional farms. We confirmed that Firmicutes, Ruminococcaceae and Lachnospiraceae families dominated the fecal and milk samples of these dairy cows, but in addition, we found an association between the number of observed OTUs and Shannon entropy on each farm that indicates higher microbiota richness is associated with increased microbiota stability. Modelling showed that herd was the most significant factor affecting the variation in both milk and fecal microbiota composition. Furthermore, the most important predictors explaining the variation of microbiota richness were milk characteristics (i.e. percentage fat) and diet for milk and fecal samples, respectively. We discuss how high intra-herd variation could affect the development of treatments based on microbiota manipulation. |
doi_str_mv | 10.1371/journal.pone.0237262 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2430976793</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A631767722</galeid><doaj_id>oai_doaj_org_article_413dd0a001eb47beb4a448c35f4f9b50</doaj_id><sourcerecordid>A631767722</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-2c4fddaad60fa3d072c98000d449075b0992cc157aad22273f3cd806e2b14fb53</originalsourceid><addsrcrecordid>eNqNk21r2zAQx83YWLtu32BshsHYYMn0ZCt-MwhlD4FCoXt4K856SJTJVirZzfrtpyRuiUdfDIMt3_3uL93pLsteYjTFlOOPa9-HFtx041s9RYRyUpJH2SmuKJmUBNHHR-uT7FmMa4QKOivLp9kJJbxEmFSnmbqCbd5Y9zuHVuVGS3DpVwZfW99B7k0ufdPoIG1yzN3GtjpXYMNtsm9jfgPB6phvbbfKVzqoD7mBLrnaTrfdXlJZ3T3PnhhwUb8YvmfZzy-ff5x_m1xcfl2czy8msqxINyGSGaUAVIkMUIU4kdUMIaQYqxAvalRVREpc8IQQQjg1VKoZKjWpMTN1Qc-y1wfdjfNRDAWKgjCKKl7yiiZicSCUh7XYBNtAuBUerNgbfFgKCJ2VTguGqVIIEMK6ZrxOL2BsJmlhmKnqAiWtT8Nufd1oJVPGAdxIdOxp7Uos_Y3gDCPCdsd9NwgEf93r2InGRqmdg1b7fn9uPMOcY5zQN_-gD2c3UEtICdjW-LSv3ImKeUlxgjghiZo-QKVH6XTzqZuMTfZRwPtRwP56_3RL6GMUi-9X_89e_hqzb4_YlQbXraJ3fWd9G8cgO4CpL2MM2twXGSOxG4a7aojdMIhhGFLYq-MLug-66376F3S3A68</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2430976793</pqid></control><display><type>article</type><title>Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS)</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Albonico, Francesca ; Barelli, Claudia ; Albanese, Davide ; Manica, Mattia ; Partel, Erika ; Rosso, Fausta ; Ripellino, Silvia ; Pindo, Massimo ; Donati, Claudio ; Zecconi, Alfonso ; Mortarino, Michele ; Hauffe, Heidi C</creator><contributor>Chaves, Alex V.</contributor><creatorcontrib>Albonico, Francesca ; Barelli, Claudia ; Albanese, Davide ; Manica, Mattia ; Partel, Erika ; Rosso, Fausta ; Ripellino, Silvia ; Pindo, Massimo ; Donati, Claudio ; Zecconi, Alfonso ; Mortarino, Michele ; Hauffe, Heidi C ; Chaves, Alex V.</creatorcontrib><description>The factors that influence the diversity and composition of raw milk and fecal microbiota in healthy commercial dairy herds are not fully understood, partially because the majority of metataxonomic studies involve experimental farms and/or single factors. We analyzed the raw milk and fecal microbiota of 100 healthy cows from 10 commercial alpine farms from the Province of Trento, Italy, using metataxonomics and applied statistical modelling to investigate which extrinsic and intrinsic parameters (e.g. herd, diet and milk characteristics) correlated with microbiota richness and composition in these relatively small traditional farms. We confirmed that Firmicutes, Ruminococcaceae and Lachnospiraceae families dominated the fecal and milk samples of these dairy cows, but in addition, we found an association between the number of observed OTUs and Shannon entropy on each farm that indicates higher microbiota richness is associated with increased microbiota stability. Modelling showed that herd was the most significant factor affecting the variation in both milk and fecal microbiota composition. Furthermore, the most important predictors explaining the variation of microbiota richness were milk characteristics (i.e. percentage fat) and diet for milk and fecal samples, respectively. We discuss how high intra-herd variation could affect the development of treatments based on microbiota manipulation.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0237262</identifier><identifier>PMID: 32760129</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Animal Feed - analysis ; Animals ; Bacteria - classification ; Bacteria - isolation & purification ; Biodiversity ; Biology ; Biology and Life Sciences ; Cattle - microbiology ; Composition ; Dairy cattle ; Dairy farming ; Dairying ; Diet ; Ecology ; Ecology and Environmental Sciences ; Entropy (Information theory) ; Experimental farms ; Farms ; Fats - analysis ; Fecal microflora ; Feces ; Feces - microbiology ; Female ; Food and nutrition ; Food quality ; Influence ; Livestock ; Mathematical models ; Medicine and Health Sciences ; Microbiota ; Microbiota (Symbiotic organisms) ; Milk ; Milk - chemistry ; Milk - microbiology ; Pathogens ; Physiological aspects ; Raw milk ; Research and analysis methods ; Statistical methods ; Statistical models ; Variation ; Veterinary medicine</subject><ispartof>PloS one, 2020-08, Vol.15 (8), p.e0237262-e0237262</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Albonico et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Albonico et al 2020 Albonico et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-2c4fddaad60fa3d072c98000d449075b0992cc157aad22273f3cd806e2b14fb53</citedby><cites>FETCH-LOGICAL-c692t-2c4fddaad60fa3d072c98000d449075b0992cc157aad22273f3cd806e2b14fb53</cites><orcidid>0000-0002-5979-3442 ; 0000-0003-3709-1199 ; 0000-0002-3127-8385</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410245/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410245/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32760129$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Chaves, Alex V.</contributor><creatorcontrib>Albonico, Francesca</creatorcontrib><creatorcontrib>Barelli, Claudia</creatorcontrib><creatorcontrib>Albanese, Davide</creatorcontrib><creatorcontrib>Manica, Mattia</creatorcontrib><creatorcontrib>Partel, Erika</creatorcontrib><creatorcontrib>Rosso, Fausta</creatorcontrib><creatorcontrib>Ripellino, Silvia</creatorcontrib><creatorcontrib>Pindo, Massimo</creatorcontrib><creatorcontrib>Donati, Claudio</creatorcontrib><creatorcontrib>Zecconi, Alfonso</creatorcontrib><creatorcontrib>Mortarino, Michele</creatorcontrib><creatorcontrib>Hauffe, Heidi C</creatorcontrib><title>Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The factors that influence the diversity and composition of raw milk and fecal microbiota in healthy commercial dairy herds are not fully understood, partially because the majority of metataxonomic studies involve experimental farms and/or single factors. We analyzed the raw milk and fecal microbiota of 100 healthy cows from 10 commercial alpine farms from the Province of Trento, Italy, using metataxonomics and applied statistical modelling to investigate which extrinsic and intrinsic parameters (e.g. herd, diet and milk characteristics) correlated with microbiota richness and composition in these relatively small traditional farms. We confirmed that Firmicutes, Ruminococcaceae and Lachnospiraceae families dominated the fecal and milk samples of these dairy cows, but in addition, we found an association between the number of observed OTUs and Shannon entropy on each farm that indicates higher microbiota richness is associated with increased microbiota stability. Modelling showed that herd was the most significant factor affecting the variation in both milk and fecal microbiota composition. Furthermore, the most important predictors explaining the variation of microbiota richness were milk characteristics (i.e. percentage fat) and diet for milk and fecal samples, respectively. We discuss how high intra-herd variation could affect the development of treatments based on microbiota manipulation.</description><subject>Animal Feed - analysis</subject><subject>Animals</subject><subject>Bacteria - classification</subject><subject>Bacteria - isolation & purification</subject><subject>Biodiversity</subject><subject>Biology</subject><subject>Biology and Life Sciences</subject><subject>Cattle - microbiology</subject><subject>Composition</subject><subject>Dairy cattle</subject><subject>Dairy farming</subject><subject>Dairying</subject><subject>Diet</subject><subject>Ecology</subject><subject>Ecology and Environmental Sciences</subject><subject>Entropy (Information theory)</subject><subject>Experimental farms</subject><subject>Farms</subject><subject>Fats - analysis</subject><subject>Fecal microflora</subject><subject>Feces</subject><subject>Feces - microbiology</subject><subject>Female</subject><subject>Food and nutrition</subject><subject>Food quality</subject><subject>Influence</subject><subject>Livestock</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Microbiota</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>Milk</subject><subject>Milk - chemistry</subject><subject>Milk - microbiology</subject><subject>Pathogens</subject><subject>Physiological aspects</subject><subject>Raw milk</subject><subject>Research and analysis methods</subject><subject>Statistical methods</subject><subject>Statistical models</subject><subject>Variation</subject><subject>Veterinary medicine</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk21r2zAQx83YWLtu32BshsHYYMn0ZCt-MwhlD4FCoXt4K856SJTJVirZzfrtpyRuiUdfDIMt3_3uL93pLsteYjTFlOOPa9-HFtx041s9RYRyUpJH2SmuKJmUBNHHR-uT7FmMa4QKOivLp9kJJbxEmFSnmbqCbd5Y9zuHVuVGS3DpVwZfW99B7k0ufdPoIG1yzN3GtjpXYMNtsm9jfgPB6phvbbfKVzqoD7mBLrnaTrfdXlJZ3T3PnhhwUb8YvmfZzy-ff5x_m1xcfl2czy8msqxINyGSGaUAVIkMUIU4kdUMIaQYqxAvalRVREpc8IQQQjg1VKoZKjWpMTN1Qc-y1wfdjfNRDAWKgjCKKl7yiiZicSCUh7XYBNtAuBUerNgbfFgKCJ2VTguGqVIIEMK6ZrxOL2BsJmlhmKnqAiWtT8Nufd1oJVPGAdxIdOxp7Uos_Y3gDCPCdsd9NwgEf93r2InGRqmdg1b7fn9uPMOcY5zQN_-gD2c3UEtICdjW-LSv3ImKeUlxgjghiZo-QKVH6XTzqZuMTfZRwPtRwP56_3RL6GMUi-9X_89e_hqzb4_YlQbXraJ3fWd9G8cgO4CpL2MM2twXGSOxG4a7aojdMIhhGFLYq-MLug-66376F3S3A68</recordid><startdate>20200806</startdate><enddate>20200806</enddate><creator>Albonico, Francesca</creator><creator>Barelli, Claudia</creator><creator>Albanese, Davide</creator><creator>Manica, Mattia</creator><creator>Partel, Erika</creator><creator>Rosso, Fausta</creator><creator>Ripellino, Silvia</creator><creator>Pindo, Massimo</creator><creator>Donati, Claudio</creator><creator>Zecconi, Alfonso</creator><creator>Mortarino, Michele</creator><creator>Hauffe, Heidi C</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5979-3442</orcidid><orcidid>https://orcid.org/0000-0003-3709-1199</orcidid><orcidid>https://orcid.org/0000-0002-3127-8385</orcidid></search><sort><creationdate>20200806</creationdate><title>Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet</title><author>Albonico, Francesca ; Barelli, Claudia ; Albanese, Davide ; Manica, Mattia ; Partel, Erika ; Rosso, Fausta ; Ripellino, Silvia ; Pindo, Massimo ; Donati, Claudio ; Zecconi, Alfonso ; Mortarino, Michele ; Hauffe, Heidi C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-2c4fddaad60fa3d072c98000d449075b0992cc157aad22273f3cd806e2b14fb53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Animal Feed - analysis</topic><topic>Animals</topic><topic>Bacteria - classification</topic><topic>Bacteria - isolation & purification</topic><topic>Biodiversity</topic><topic>Biology</topic><topic>Biology and Life Sciences</topic><topic>Cattle - microbiology</topic><topic>Composition</topic><topic>Dairy cattle</topic><topic>Dairy farming</topic><topic>Dairying</topic><topic>Diet</topic><topic>Ecology</topic><topic>Ecology and Environmental Sciences</topic><topic>Entropy (Information theory)</topic><topic>Experimental farms</topic><topic>Farms</topic><topic>Fats - analysis</topic><topic>Fecal microflora</topic><topic>Feces</topic><topic>Feces - microbiology</topic><topic>Female</topic><topic>Food and nutrition</topic><topic>Food quality</topic><topic>Influence</topic><topic>Livestock</topic><topic>Mathematical models</topic><topic>Medicine and Health Sciences</topic><topic>Microbiota</topic><topic>Microbiota (Symbiotic organisms)</topic><topic>Milk</topic><topic>Milk - chemistry</topic><topic>Milk - microbiology</topic><topic>Pathogens</topic><topic>Physiological aspects</topic><topic>Raw milk</topic><topic>Research and analysis methods</topic><topic>Statistical methods</topic><topic>Statistical models</topic><topic>Variation</topic><topic>Veterinary medicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Albonico, Francesca</creatorcontrib><creatorcontrib>Barelli, Claudia</creatorcontrib><creatorcontrib>Albanese, Davide</creatorcontrib><creatorcontrib>Manica, Mattia</creatorcontrib><creatorcontrib>Partel, Erika</creatorcontrib><creatorcontrib>Rosso, Fausta</creatorcontrib><creatorcontrib>Ripellino, Silvia</creatorcontrib><creatorcontrib>Pindo, Massimo</creatorcontrib><creatorcontrib>Donati, Claudio</creatorcontrib><creatorcontrib>Zecconi, Alfonso</creatorcontrib><creatorcontrib>Mortarino, Michele</creatorcontrib><creatorcontrib>Hauffe, Heidi C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</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>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</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>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content 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>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Albonico, Francesca</au><au>Barelli, Claudia</au><au>Albanese, Davide</au><au>Manica, Mattia</au><au>Partel, Erika</au><au>Rosso, Fausta</au><au>Ripellino, Silvia</au><au>Pindo, Massimo</au><au>Donati, Claudio</au><au>Zecconi, Alfonso</au><au>Mortarino, Michele</au><au>Hauffe, Heidi C</au><au>Chaves, Alex V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-08-06</date><risdate>2020</risdate><volume>15</volume><issue>8</issue><spage>e0237262</spage><epage>e0237262</epage><pages>e0237262-e0237262</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The factors that influence the diversity and composition of raw milk and fecal microbiota in healthy commercial dairy herds are not fully understood, partially because the majority of metataxonomic studies involve experimental farms and/or single factors. We analyzed the raw milk and fecal microbiota of 100 healthy cows from 10 commercial alpine farms from the Province of Trento, Italy, using metataxonomics and applied statistical modelling to investigate which extrinsic and intrinsic parameters (e.g. herd, diet and milk characteristics) correlated with microbiota richness and composition in these relatively small traditional farms. We confirmed that Firmicutes, Ruminococcaceae and Lachnospiraceae families dominated the fecal and milk samples of these dairy cows, but in addition, we found an association between the number of observed OTUs and Shannon entropy on each farm that indicates higher microbiota richness is associated with increased microbiota stability. Modelling showed that herd was the most significant factor affecting the variation in both milk and fecal microbiota composition. Furthermore, the most important predictors explaining the variation of microbiota richness were milk characteristics (i.e. percentage fat) and diet for milk and fecal samples, respectively. We discuss how high intra-herd variation could affect the development of treatments based on microbiota manipulation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32760129</pmid><doi>10.1371/journal.pone.0237262</doi><tpages>e0237262</tpages><orcidid>https://orcid.org/0000-0002-5979-3442</orcidid><orcidid>https://orcid.org/0000-0003-3709-1199</orcidid><orcidid>https://orcid.org/0000-0002-3127-8385</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2020-08, Vol.15 (8), p.e0237262-e0237262 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2430976793 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Animal Feed - analysis Animals Bacteria - classification Bacteria - isolation & purification Biodiversity Biology Biology and Life Sciences Cattle - microbiology Composition Dairy cattle Dairy farming Dairying Diet Ecology Ecology and Environmental Sciences Entropy (Information theory) Experimental farms Farms Fats - analysis Fecal microflora Feces Feces - microbiology Female Food and nutrition Food quality Influence Livestock Mathematical models Medicine and Health Sciences Microbiota Microbiota (Symbiotic organisms) Milk Milk - chemistry Milk - microbiology Pathogens Physiological aspects Raw milk Research and analysis methods Statistical methods Statistical models Variation Veterinary medicine |
title | Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T19%3A42%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Raw%20milk%20and%20fecal%20microbiota%20of%20commercial%20Alpine%20dairy%20cows%20varies%20with%20herd,%20fat%20content%20and%20diet&rft.jtitle=PloS%20one&rft.au=Albonico,%20Francesca&rft.date=2020-08-06&rft.volume=15&rft.issue=8&rft.spage=e0237262&rft.epage=e0237262&rft.pages=e0237262-e0237262&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0237262&rft_dat=%3Cgale_plos_%3EA631767722%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2430976793&rft_id=info:pmid/32760129&rft_galeid=A631767722&rft_doaj_id=oai_doaj_org_article_413dd0a001eb47beb4a448c35f4f9b50&rfr_iscdi=true |