Cargando…
Uncovering the biogeography of the microbial commmunity and its association with nutrient metabolism in the intestinal tract using a pig model
The gut microbiota is a complex ecosystem that is essential for the metabolism, immunity and health of the host. The gut microbiota also plays a critical role in nutrient absorption and metabolism, and nutrients can influence the growth and composition of the gut microbiota. To gain a better underst...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552906/ https://www.ncbi.nlm.nih.gov/pubmed/36238459 http://dx.doi.org/10.3389/fnut.2022.1003763 |
_version_ | 1784806352608034816 |
---|---|
author | Song, Yuanyuan Chen, Kai Lv, Lu Xiang, Yun Du, Xizhong Zhang, Xiaojun Zhao, Guangmin Xiao, Yingping |
author_facet | Song, Yuanyuan Chen, Kai Lv, Lu Xiang, Yun Du, Xizhong Zhang, Xiaojun Zhao, Guangmin Xiao, Yingping |
author_sort | Song, Yuanyuan |
collection | PubMed |
description | The gut microbiota is a complex ecosystem that is essential for the metabolism, immunity and health of the host. The gut microbiota also plays a critical role in nutrient absorption and metabolism, and nutrients can influence the growth and composition of the gut microbiota. To gain a better understanding of the relationship between the gut microbial composition and nutrient metabolism, we used a pig model by collecting the contents of the different intestinal locations from six pigs to investigate microbial composition in different intestinal locations based on 16S rRNA gene sequencing and the concentrations of short-chain fatty acids (SCFAs), amino acids, fat, and crude ash in different intestinal locations using gas chromatography and chemical analysis. The results showed that the richness and diversity of intestinal microbial communities gradually increased from the small intestine to the large intestine. The relative abundance of Proteobacteria was higher in the jejunum and ileum, whereas the proportion of Firmicutes was higher in the cecum and colon. The concentrations of SCFAs were higher in the cecum and colon (P < 0.05). The concentrations of amino acids were higher in the small intestine than in the large intestine, while the amino acid content was significantly higher in the ascending colon than in the transverse colon and descending colon. The correlation analysis revealed that Ruminococcaceae UCG-005, Coriobacteriaceae_uncultured, [Eubacterium] hallii group, Mogibacterium and Lachnospiraceae AC2044 group had a higher positive correlation with SCFAs, crude ash and fat but had a negative correlation with amino acids in different gut locations of pigs. These findings may serve as fundamental data for using nutrient metabolism to regulate human and animal gut microbes and health and provide guidance for exploring host-microbe bidirectional interaction mechanisms and driving pathways. |
format | Online Article Text |
id | pubmed-9552906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95529062022-10-12 Uncovering the biogeography of the microbial commmunity and its association with nutrient metabolism in the intestinal tract using a pig model Song, Yuanyuan Chen, Kai Lv, Lu Xiang, Yun Du, Xizhong Zhang, Xiaojun Zhao, Guangmin Xiao, Yingping Front Nutr Nutrition The gut microbiota is a complex ecosystem that is essential for the metabolism, immunity and health of the host. The gut microbiota also plays a critical role in nutrient absorption and metabolism, and nutrients can influence the growth and composition of the gut microbiota. To gain a better understanding of the relationship between the gut microbial composition and nutrient metabolism, we used a pig model by collecting the contents of the different intestinal locations from six pigs to investigate microbial composition in different intestinal locations based on 16S rRNA gene sequencing and the concentrations of short-chain fatty acids (SCFAs), amino acids, fat, and crude ash in different intestinal locations using gas chromatography and chemical analysis. The results showed that the richness and diversity of intestinal microbial communities gradually increased from the small intestine to the large intestine. The relative abundance of Proteobacteria was higher in the jejunum and ileum, whereas the proportion of Firmicutes was higher in the cecum and colon. The concentrations of SCFAs were higher in the cecum and colon (P < 0.05). The concentrations of amino acids were higher in the small intestine than in the large intestine, while the amino acid content was significantly higher in the ascending colon than in the transverse colon and descending colon. The correlation analysis revealed that Ruminococcaceae UCG-005, Coriobacteriaceae_uncultured, [Eubacterium] hallii group, Mogibacterium and Lachnospiraceae AC2044 group had a higher positive correlation with SCFAs, crude ash and fat but had a negative correlation with amino acids in different gut locations of pigs. These findings may serve as fundamental data for using nutrient metabolism to regulate human and animal gut microbes and health and provide guidance for exploring host-microbe bidirectional interaction mechanisms and driving pathways. Frontiers Media S.A. 2022-09-26 /pmc/articles/PMC9552906/ /pubmed/36238459 http://dx.doi.org/10.3389/fnut.2022.1003763 Text en Copyright © 2022 Song, Chen, Lv, Xiang, Du, Zhang, Zhao and Xiao. 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 | Nutrition Song, Yuanyuan Chen, Kai Lv, Lu Xiang, Yun Du, Xizhong Zhang, Xiaojun Zhao, Guangmin Xiao, Yingping Uncovering the biogeography of the microbial commmunity and its association with nutrient metabolism in the intestinal tract using a pig model |
title | Uncovering the biogeography of the microbial commmunity and its association with nutrient metabolism in the intestinal tract using a pig model |
title_full | Uncovering the biogeography of the microbial commmunity and its association with nutrient metabolism in the intestinal tract using a pig model |
title_fullStr | Uncovering the biogeography of the microbial commmunity and its association with nutrient metabolism in the intestinal tract using a pig model |
title_full_unstemmed | Uncovering the biogeography of the microbial commmunity and its association with nutrient metabolism in the intestinal tract using a pig model |
title_short | Uncovering the biogeography of the microbial commmunity and its association with nutrient metabolism in the intestinal tract using a pig model |
title_sort | uncovering the biogeography of the microbial commmunity and its association with nutrient metabolism in the intestinal tract using a pig model |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552906/ https://www.ncbi.nlm.nih.gov/pubmed/36238459 http://dx.doi.org/10.3389/fnut.2022.1003763 |
work_keys_str_mv | AT songyuanyuan uncoveringthebiogeographyofthemicrobialcommmunityanditsassociationwithnutrientmetabolismintheintestinaltractusingapigmodel AT chenkai uncoveringthebiogeographyofthemicrobialcommmunityanditsassociationwithnutrientmetabolismintheintestinaltractusingapigmodel AT lvlu uncoveringthebiogeographyofthemicrobialcommmunityanditsassociationwithnutrientmetabolismintheintestinaltractusingapigmodel AT xiangyun uncoveringthebiogeographyofthemicrobialcommmunityanditsassociationwithnutrientmetabolismintheintestinaltractusingapigmodel AT duxizhong uncoveringthebiogeographyofthemicrobialcommmunityanditsassociationwithnutrientmetabolismintheintestinaltractusingapigmodel AT zhangxiaojun uncoveringthebiogeographyofthemicrobialcommmunityanditsassociationwithnutrientmetabolismintheintestinaltractusingapigmodel AT zhaoguangmin uncoveringthebiogeographyofthemicrobialcommmunityanditsassociationwithnutrientmetabolismintheintestinaltractusingapigmodel AT xiaoyingping uncoveringthebiogeographyofthemicrobialcommmunityanditsassociationwithnutrientmetabolismintheintestinaltractusingapigmodel |