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Rumen and fecal microbiota profiles associated with immunity of young and adult goats

Low immunity at birth increases risk of disease of young livestock, such as goat kids. Microbiomes change as animals mature, and a healthy microbiome is related to decreased risk of disease. The relationship between microbiota profiles and immunity at different developmental stages remains unclear....

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Autores principales: Luo, Tao, Li, Yongtao, Zhang, Wenying, Liu, Jianxin, Shi, Hengbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513485/
https://www.ncbi.nlm.nih.gov/pubmed/36177023
http://dx.doi.org/10.3389/fimmu.2022.978402
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author Luo, Tao
Li, Yongtao
Zhang, Wenying
Liu, Jianxin
Shi, Hengbo
author_facet Luo, Tao
Li, Yongtao
Zhang, Wenying
Liu, Jianxin
Shi, Hengbo
author_sort Luo, Tao
collection PubMed
description Low immunity at birth increases risk of disease of young livestock, such as goat kids. Microbiomes change as animals mature, and a healthy microbiome is related to decreased risk of disease. The relationship between microbiota profiles and immunity at different developmental stages remains unclear. Young (female, n = 12, 30 d) and adult (female, n = 12, 2 yrs. old) Saanen dairy goats were used to investigate changes in rumen microbiomes, fecal microbiomes, and their correlations to circulating immune factors. Serum IgG (P = 0.02) and IgM (P < 0.01) were higher at 2 years than 30 d of age, but there were no differences in IgA (P = 0.34), IL-2 (P = 0.05), IL-4 (P = 0.37) and IL-6 (P = 0.73) between ages. Amplicon sequencing analysis revealed young goats had a higher diversity of bacterial communities in rumen and lower diversity in feces compared with adult goats. Ten genera in rumen and 14 genera in feces were positively correlated with serum IgM concentration across both ages. Olsenella, Methanosphaera, Quinella, Candidatus_Saccharimonas, and Methanobrevibacter in rumen and Ruminobacter, Treponema, Rikenelaceae_ RC9_ gut_ Group in feces were positively correlated with the concentration of IgG. The correlation analysis using weighted gene co-expression network analysis showed the MEblue module was positively associated with the IgG and IgM. These data provide novel insight into the association between rumen-feces microbiota and immune response. Further experiments are needed to investigate whether inoculating young livestock with immune-related bacteria identified can improve the immune status. Our data suggest a possible strategy to improve the immunity of the kids by alterative microbiota profiles.
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spelling pubmed-95134852022-09-28 Rumen and fecal microbiota profiles associated with immunity of young and adult goats Luo, Tao Li, Yongtao Zhang, Wenying Liu, Jianxin Shi, Hengbo Front Immunol Immunology Low immunity at birth increases risk of disease of young livestock, such as goat kids. Microbiomes change as animals mature, and a healthy microbiome is related to decreased risk of disease. The relationship between microbiota profiles and immunity at different developmental stages remains unclear. Young (female, n = 12, 30 d) and adult (female, n = 12, 2 yrs. old) Saanen dairy goats were used to investigate changes in rumen microbiomes, fecal microbiomes, and their correlations to circulating immune factors. Serum IgG (P = 0.02) and IgM (P < 0.01) were higher at 2 years than 30 d of age, but there were no differences in IgA (P = 0.34), IL-2 (P = 0.05), IL-4 (P = 0.37) and IL-6 (P = 0.73) between ages. Amplicon sequencing analysis revealed young goats had a higher diversity of bacterial communities in rumen and lower diversity in feces compared with adult goats. Ten genera in rumen and 14 genera in feces were positively correlated with serum IgM concentration across both ages. Olsenella, Methanosphaera, Quinella, Candidatus_Saccharimonas, and Methanobrevibacter in rumen and Ruminobacter, Treponema, Rikenelaceae_ RC9_ gut_ Group in feces were positively correlated with the concentration of IgG. The correlation analysis using weighted gene co-expression network analysis showed the MEblue module was positively associated with the IgG and IgM. These data provide novel insight into the association between rumen-feces microbiota and immune response. Further experiments are needed to investigate whether inoculating young livestock with immune-related bacteria identified can improve the immune status. Our data suggest a possible strategy to improve the immunity of the kids by alterative microbiota profiles. Frontiers Media S.A. 2022-09-13 /pmc/articles/PMC9513485/ /pubmed/36177023 http://dx.doi.org/10.3389/fimmu.2022.978402 Text en Copyright © 2022 Luo, Li, Zhang, Liu and Shi https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Luo, Tao
Li, Yongtao
Zhang, Wenying
Liu, Jianxin
Shi, Hengbo
Rumen and fecal microbiota profiles associated with immunity of young and adult goats
title Rumen and fecal microbiota profiles associated with immunity of young and adult goats
title_full Rumen and fecal microbiota profiles associated with immunity of young and adult goats
title_fullStr Rumen and fecal microbiota profiles associated with immunity of young and adult goats
title_full_unstemmed Rumen and fecal microbiota profiles associated with immunity of young and adult goats
title_short Rumen and fecal microbiota profiles associated with immunity of young and adult goats
title_sort rumen and fecal microbiota profiles associated with immunity of young and adult goats
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513485/
https://www.ncbi.nlm.nih.gov/pubmed/36177023
http://dx.doi.org/10.3389/fimmu.2022.978402
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