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Metataxonomic analysis and host proteome response in dairy cows with high and low somatic cell count: a quarter level investigation
Host response to invasive microbes in the bovine udder has an important role on the animal health and is essential to the dairy industry to ensure production of high-quality milk and reduce the mastitis incidence. To better understand the biology behind these host-microbiome interactions, we investi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10074679/ https://www.ncbi.nlm.nih.gov/pubmed/37016420 http://dx.doi.org/10.1186/s13567-023-01162-0 |
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author | Winther, Anja Ruud da Silva Duarte, Vinícius Porcellato, Davide |
author_facet | Winther, Anja Ruud da Silva Duarte, Vinícius Porcellato, Davide |
author_sort | Winther, Anja Ruud |
collection | PubMed |
description | Host response to invasive microbes in the bovine udder has an important role on the animal health and is essential to the dairy industry to ensure production of high-quality milk and reduce the mastitis incidence. To better understand the biology behind these host-microbiome interactions, we investigated the somatic cell proteomes at quarter level for four cows (collected before and after milking) using a shotgun proteomics approach. Simultaneously, we identified the quarter microbiota by amplicon sequencing to detect presence of mastitis pathogens or other commensal taxa. In total, 32 quarter milk samples were analyzed divided in two groups depending on the somatic cell count (SCC). The high SCC group (>100,000 cell/mL) included 10 samples and significant different proteome profiles were detected. Differential abundance analysis uncovers a specific expression pattern in high SCC samples revealing pathways involved in immune responses such as inflammation, activation of the complement system, migration of immune cells, and tight junctions. Interestingly, different proteome profiles were also identified in quarter samples containing one of the two mastitis pathogens, Staphylococcus aureus and Streptococcus uberis, indicating a different response of the host depending on the pathogen. Weighted correlation network analysis identified three modules of co-expressed proteins which were correlated with the SCC in the quarters. These modules contained proteins assigned to different aspects of the immune response, but also amino sugar and nucleotide sugar metabolism, and biosynthesis of amino acids. The results of this study provide deeper insights on how the proteome expression changes at quarter level in naturally infected cows and pinpoint potential interactions and important biological functions during host-microbe interaction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13567-023-01162-0. |
format | Online Article Text |
id | pubmed-10074679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100746792023-04-06 Metataxonomic analysis and host proteome response in dairy cows with high and low somatic cell count: a quarter level investigation Winther, Anja Ruud da Silva Duarte, Vinícius Porcellato, Davide Vet Res Research Article Host response to invasive microbes in the bovine udder has an important role on the animal health and is essential to the dairy industry to ensure production of high-quality milk and reduce the mastitis incidence. To better understand the biology behind these host-microbiome interactions, we investigated the somatic cell proteomes at quarter level for four cows (collected before and after milking) using a shotgun proteomics approach. Simultaneously, we identified the quarter microbiota by amplicon sequencing to detect presence of mastitis pathogens or other commensal taxa. In total, 32 quarter milk samples were analyzed divided in two groups depending on the somatic cell count (SCC). The high SCC group (>100,000 cell/mL) included 10 samples and significant different proteome profiles were detected. Differential abundance analysis uncovers a specific expression pattern in high SCC samples revealing pathways involved in immune responses such as inflammation, activation of the complement system, migration of immune cells, and tight junctions. Interestingly, different proteome profiles were also identified in quarter samples containing one of the two mastitis pathogens, Staphylococcus aureus and Streptococcus uberis, indicating a different response of the host depending on the pathogen. Weighted correlation network analysis identified three modules of co-expressed proteins which were correlated with the SCC in the quarters. These modules contained proteins assigned to different aspects of the immune response, but also amino sugar and nucleotide sugar metabolism, and biosynthesis of amino acids. The results of this study provide deeper insights on how the proteome expression changes at quarter level in naturally infected cows and pinpoint potential interactions and important biological functions during host-microbe interaction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13567-023-01162-0. BioMed Central 2023-04-04 2023 /pmc/articles/PMC10074679/ /pubmed/37016420 http://dx.doi.org/10.1186/s13567-023-01162-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Winther, Anja Ruud da Silva Duarte, Vinícius Porcellato, Davide Metataxonomic analysis and host proteome response in dairy cows with high and low somatic cell count: a quarter level investigation |
title | Metataxonomic analysis and host proteome response in dairy cows with high and low somatic cell count: a quarter level investigation |
title_full | Metataxonomic analysis and host proteome response in dairy cows with high and low somatic cell count: a quarter level investigation |
title_fullStr | Metataxonomic analysis and host proteome response in dairy cows with high and low somatic cell count: a quarter level investigation |
title_full_unstemmed | Metataxonomic analysis and host proteome response in dairy cows with high and low somatic cell count: a quarter level investigation |
title_short | Metataxonomic analysis and host proteome response in dairy cows with high and low somatic cell count: a quarter level investigation |
title_sort | metataxonomic analysis and host proteome response in dairy cows with high and low somatic cell count: a quarter level investigation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10074679/ https://www.ncbi.nlm.nih.gov/pubmed/37016420 http://dx.doi.org/10.1186/s13567-023-01162-0 |
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