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Characterization of microbial communities and predicted metabolic pathways in the uterus of healthy mares

BACKGROUND: Culture-independent techniques have made it possible to expand the knowledge about the composition of bacterial communities present in the healthy uterus and their role in health and disease, mainly in humans. However, in animals like mares, there is a dearth of information regarding thi...

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Autores principales: Thomson, Pamela, Pareja, Josefina, Núñez, Andrea, Santibáñez, Rodrigo, Castro, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculty of Veterinary Medicine 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805769/
https://www.ncbi.nlm.nih.gov/pubmed/36650865
http://dx.doi.org/10.5455/OVJ.2022.v12.i6.3
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author Thomson, Pamela
Pareja, Josefina
Núñez, Andrea
Santibáñez, Rodrigo
Castro, Rodrigo
author_facet Thomson, Pamela
Pareja, Josefina
Núñez, Andrea
Santibáñez, Rodrigo
Castro, Rodrigo
author_sort Thomson, Pamela
collection PubMed
description BACKGROUND: Culture-independent techniques have made it possible to expand the knowledge about the composition of bacterial communities present in the healthy uterus and their role in health and disease, mainly in humans. However, in animals like mares, there is a dearth of information regarding this area. AIM: To narrow this knowledge gap, the objective of this study was to identify and characterize the composition and function of the uterine microbiome of a group of Chilean purebred mares (CPM), an equine breed with the oldest genealogical record in South America and an economical important reproductive industry. METHODS: From uterine biopsy samples obtained during estrus, DNA extraction and targeted sequencing were performed to investigate the bacterial diversity and its probable metabolic function. RESULTS: CPM biopsy samples were characterized by having a varied microbial composition, where the four most relatively abundant phyla were Proteobacteria (69.6%), Firmicutes (21.1%), Bacteroidetes (7.8%), and Actinobacteria (1.06%); which made up 99.6% of the total identified phyla. In contrast, Actinobacteria and Fusobacteria were the phyla not identified in all samples. Of a total of 59 genera identified across all samples, Staphylococcus was the most abundant genus with an average relative abundance of 18.88%, followed by Pseudomonas (17.9%), Escherichia/Shigella (10.42%), and Klebsiella (9.92%). CONCLUSION: These findings contribute to the knowledge of microbes’ presence in the uterus, while future studies are required to demonstrate the role of these microorganisms in health and disease.
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spelling pubmed-98057692023-01-16 Characterization of microbial communities and predicted metabolic pathways in the uterus of healthy mares Thomson, Pamela Pareja, Josefina Núñez, Andrea Santibáñez, Rodrigo Castro, Rodrigo Open Vet J Original Research BACKGROUND: Culture-independent techniques have made it possible to expand the knowledge about the composition of bacterial communities present in the healthy uterus and their role in health and disease, mainly in humans. However, in animals like mares, there is a dearth of information regarding this area. AIM: To narrow this knowledge gap, the objective of this study was to identify and characterize the composition and function of the uterine microbiome of a group of Chilean purebred mares (CPM), an equine breed with the oldest genealogical record in South America and an economical important reproductive industry. METHODS: From uterine biopsy samples obtained during estrus, DNA extraction and targeted sequencing were performed to investigate the bacterial diversity and its probable metabolic function. RESULTS: CPM biopsy samples were characterized by having a varied microbial composition, where the four most relatively abundant phyla were Proteobacteria (69.6%), Firmicutes (21.1%), Bacteroidetes (7.8%), and Actinobacteria (1.06%); which made up 99.6% of the total identified phyla. In contrast, Actinobacteria and Fusobacteria were the phyla not identified in all samples. Of a total of 59 genera identified across all samples, Staphylococcus was the most abundant genus with an average relative abundance of 18.88%, followed by Pseudomonas (17.9%), Escherichia/Shigella (10.42%), and Klebsiella (9.92%). CONCLUSION: These findings contribute to the knowledge of microbes’ presence in the uterus, while future studies are required to demonstrate the role of these microorganisms in health and disease. Faculty of Veterinary Medicine 2022 2022-11-07 /pmc/articles/PMC9805769/ /pubmed/36650865 http://dx.doi.org/10.5455/OVJ.2022.v12.i6.3 Text en https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Thomson, Pamela
Pareja, Josefina
Núñez, Andrea
Santibáñez, Rodrigo
Castro, Rodrigo
Characterization of microbial communities and predicted metabolic pathways in the uterus of healthy mares
title Characterization of microbial communities and predicted metabolic pathways in the uterus of healthy mares
title_full Characterization of microbial communities and predicted metabolic pathways in the uterus of healthy mares
title_fullStr Characterization of microbial communities and predicted metabolic pathways in the uterus of healthy mares
title_full_unstemmed Characterization of microbial communities and predicted metabolic pathways in the uterus of healthy mares
title_short Characterization of microbial communities and predicted metabolic pathways in the uterus of healthy mares
title_sort characterization of microbial communities and predicted metabolic pathways in the uterus of healthy mares
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805769/
https://www.ncbi.nlm.nih.gov/pubmed/36650865
http://dx.doi.org/10.5455/OVJ.2022.v12.i6.3
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