Cargando…
New insights into the raw milk microbiota diversity from animals with a different genetic predisposition for feed efficiency and resilience to mastitis
The main objective of this study was to assess the microbiota diversity in milk samples collected from Holstein cows with different estimated breeding values for predicted feed efficiency, milk coagulation, resilience to mastitis, and consequently, to study its effects on milk quality. One hundred a...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356063/ https://www.ncbi.nlm.nih.gov/pubmed/35931716 http://dx.doi.org/10.1038/s41598-022-17418-2 |
_version_ | 1784763435036180480 |
---|---|
author | Tarrah, Armin Callegaro, Simone Pakroo, Shadi Finocchiaro, Raffaella Giacomini, Alessio Corich, Viviana Cassandro, Martino |
author_facet | Tarrah, Armin Callegaro, Simone Pakroo, Shadi Finocchiaro, Raffaella Giacomini, Alessio Corich, Viviana Cassandro, Martino |
author_sort | Tarrah, Armin |
collection | PubMed |
description | The main objective of this study was to assess the microbiota diversity in milk samples collected from Holstein cows with different estimated breeding values for predicted feed efficiency, milk coagulation, resilience to mastitis, and consequently, to study its effects on milk quality. One hundred and twenty milk samples were collected in two seasons (summer and winter) from different commercial dairy farms in the Nord-east of Italy. For each trait, 20 animals divided into two groups of the high (10 cows) and the low (10 cows) were selected to study the microbiota profile using 16S rRNA metabarcoding sequencing. The alpha and beta diversity analysis revealed significant differences between the high and the low groups for feed efficiency and resilience to mastitis, while no significant difference was detected for milk coagulation. Moreover, remarkable differences among the taxa were detected between the two seasons, where the winter was more diverse than summer when applied the Chao1 index. Lastly, the linear discriminant analysis (LDA) effect size (LEfSe) indicated Aerococcus, Corynebacterium, Facklamia, and Psychrobacter taxa with more abundance in the high group of feed efficiency, whereas, in resilience to mastitis, only two genera of Mycoplana and Rhodococcus were more abundant in the low group. In addition, LEfSe analysis between the seasons showed significant differences in the abundance of Bacteroides, Lactobacillus, Corynebacterium, Escherichia, Citrobacter, Pantoea, Pseudomonas, and Stenotrophomonas. These findings indicate that the different genetic predisposition for feed efficiency and resilience to mastitis could affect the raw milk microbiota and, consequently, its quality. Moreover, we found more abundance of mastitis-associated bacteria in the milk of dairy cows with a higher feed efficiency index. |
format | Online Article Text |
id | pubmed-9356063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93560632022-08-07 New insights into the raw milk microbiota diversity from animals with a different genetic predisposition for feed efficiency and resilience to mastitis Tarrah, Armin Callegaro, Simone Pakroo, Shadi Finocchiaro, Raffaella Giacomini, Alessio Corich, Viviana Cassandro, Martino Sci Rep Article The main objective of this study was to assess the microbiota diversity in milk samples collected from Holstein cows with different estimated breeding values for predicted feed efficiency, milk coagulation, resilience to mastitis, and consequently, to study its effects on milk quality. One hundred and twenty milk samples were collected in two seasons (summer and winter) from different commercial dairy farms in the Nord-east of Italy. For each trait, 20 animals divided into two groups of the high (10 cows) and the low (10 cows) were selected to study the microbiota profile using 16S rRNA metabarcoding sequencing. The alpha and beta diversity analysis revealed significant differences between the high and the low groups for feed efficiency and resilience to mastitis, while no significant difference was detected for milk coagulation. Moreover, remarkable differences among the taxa were detected between the two seasons, where the winter was more diverse than summer when applied the Chao1 index. Lastly, the linear discriminant analysis (LDA) effect size (LEfSe) indicated Aerococcus, Corynebacterium, Facklamia, and Psychrobacter taxa with more abundance in the high group of feed efficiency, whereas, in resilience to mastitis, only two genera of Mycoplana and Rhodococcus were more abundant in the low group. In addition, LEfSe analysis between the seasons showed significant differences in the abundance of Bacteroides, Lactobacillus, Corynebacterium, Escherichia, Citrobacter, Pantoea, Pseudomonas, and Stenotrophomonas. These findings indicate that the different genetic predisposition for feed efficiency and resilience to mastitis could affect the raw milk microbiota and, consequently, its quality. Moreover, we found more abundance of mastitis-associated bacteria in the milk of dairy cows with a higher feed efficiency index. Nature Publishing Group UK 2022-08-05 /pmc/articles/PMC9356063/ /pubmed/35931716 http://dx.doi.org/10.1038/s41598-022-17418-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tarrah, Armin Callegaro, Simone Pakroo, Shadi Finocchiaro, Raffaella Giacomini, Alessio Corich, Viviana Cassandro, Martino New insights into the raw milk microbiota diversity from animals with a different genetic predisposition for feed efficiency and resilience to mastitis |
title | New insights into the raw milk microbiota diversity from animals with a different genetic predisposition for feed efficiency and resilience to mastitis |
title_full | New insights into the raw milk microbiota diversity from animals with a different genetic predisposition for feed efficiency and resilience to mastitis |
title_fullStr | New insights into the raw milk microbiota diversity from animals with a different genetic predisposition for feed efficiency and resilience to mastitis |
title_full_unstemmed | New insights into the raw milk microbiota diversity from animals with a different genetic predisposition for feed efficiency and resilience to mastitis |
title_short | New insights into the raw milk microbiota diversity from animals with a different genetic predisposition for feed efficiency and resilience to mastitis |
title_sort | new insights into the raw milk microbiota diversity from animals with a different genetic predisposition for feed efficiency and resilience to mastitis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356063/ https://www.ncbi.nlm.nih.gov/pubmed/35931716 http://dx.doi.org/10.1038/s41598-022-17418-2 |
work_keys_str_mv | AT tarraharmin newinsightsintotherawmilkmicrobiotadiversityfromanimalswithadifferentgeneticpredispositionforfeedefficiencyandresiliencetomastitis AT callegarosimone newinsightsintotherawmilkmicrobiotadiversityfromanimalswithadifferentgeneticpredispositionforfeedefficiencyandresiliencetomastitis AT pakrooshadi newinsightsintotherawmilkmicrobiotadiversityfromanimalswithadifferentgeneticpredispositionforfeedefficiencyandresiliencetomastitis AT finocchiaroraffaella newinsightsintotherawmilkmicrobiotadiversityfromanimalswithadifferentgeneticpredispositionforfeedefficiencyandresiliencetomastitis AT giacominialessio newinsightsintotherawmilkmicrobiotadiversityfromanimalswithadifferentgeneticpredispositionforfeedefficiencyandresiliencetomastitis AT corichviviana newinsightsintotherawmilkmicrobiotadiversityfromanimalswithadifferentgeneticpredispositionforfeedefficiencyandresiliencetomastitis AT cassandromartino newinsightsintotherawmilkmicrobiotadiversityfromanimalswithadifferentgeneticpredispositionforfeedefficiencyandresiliencetomastitis |