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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410245/
https://www.ncbi.nlm.nih.gov/pubmed/32760129
http://dx.doi.org/10.1371/journal.pone.0237262
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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_facet 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 Albonico, Francesca
collection PubMed
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.
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spelling pubmed-74102452020-08-13 Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet 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. PLoS One Research Article 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. Public Library of Science 2020-08-06 /pmc/articles/PMC7410245/ /pubmed/32760129 http://dx.doi.org/10.1371/journal.pone.0237262 Text en © 2020 Albonico et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
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.
Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet
title Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet
title_full Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet
title_fullStr Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet
title_full_unstemmed Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet
title_short Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet
title_sort raw milk and fecal microbiota of commercial alpine dairy cows varies with herd, fat content and diet
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410245/
https://www.ncbi.nlm.nih.gov/pubmed/32760129
http://dx.doi.org/10.1371/journal.pone.0237262
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