Cargando…
Covariation of the Fecal Microbiome with Diet in Nonpasserine Birds
Opportunistic feeding and multiple other environment factors can modulate the gut microbiome, and bias conclusions, when wild animals are used for studying the influence of phylogeny and diet on their gut microbiomes. Here, we controlled for these other confounding factors in our investigation of th...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125056/ https://www.ncbi.nlm.nih.gov/pubmed/33980682 http://dx.doi.org/10.1128/mSphere.00308-21 |
_version_ | 1783693387818336256 |
---|---|
author | Xiao, Kangpeng Fan, Yutan Zhang, Zhipeng Shen, Xuejuan Li, Xiaobing Liang, Xianghui Bi, Ran Wu, Yajiang Zhai, Junqiong Dai, Junwei Irwin, David M. Chen, Wu Shen, Yongyi |
author_facet | Xiao, Kangpeng Fan, Yutan Zhang, Zhipeng Shen, Xuejuan Li, Xiaobing Liang, Xianghui Bi, Ran Wu, Yajiang Zhai, Junqiong Dai, Junwei Irwin, David M. Chen, Wu Shen, Yongyi |
author_sort | Xiao, Kangpeng |
collection | PubMed |
description | Opportunistic feeding and multiple other environment factors can modulate the gut microbiome, and bias conclusions, when wild animals are used for studying the influence of phylogeny and diet on their gut microbiomes. Here, we controlled for these other confounding factors in our investigation of the magnitude of the effect of diet on the gut microbiome assemblies of nonpasserine birds. We collected fecal samples, at one point in time, from 35 species of birds in a single zoo as well as 6 species of domestic poultry from farms in Guangzhou city to minimize the influences from interfering factors. Specifically, we describe 16S rRNA amplicon data from 129 fecal samples obtained from 41 species of birds, with additional shotgun metagenomic sequencing data generated from 16 of these individuals. Our data show that diets containing native starch increase the abundance of Lactobacillus in the gut microbiome, while those containing plant-derived fiber mainly enrich the level of Clostridium. Greater numbers of Fusobacteria and Proteobacteria are detected in carnivorous birds, while in birds fed a commercial corn-soybean basal diet, a stronger inner-connected microbial community containing Clostridia and Bacteroidia was enriched. Furthermore, the metagenome functions of the microbes (such as lipid metabolism and amino acid synthesis) were adapted to the different food types to achieve a beneficial state for the host. In conclusion, the covariation of diet and gut microbiome identified in our study demonstrates a modulation of the gut microbiome by dietary diversity and helps us better understand how birds live based on diet-microbiome-host interactions. IMPORTANCE Our study identified food source, rather than host phylogeny, as the main factor modulating the gut microbiome diversity of nonpasserine birds, after minimizing the effects of other complex interfering factors such as weather, season, and geography. Adaptive evolution of microbes to food types formed a dietary-microbiome-host interaction reciprocal state. The covariation of diet and gut microbiome, including the response of microbiota assembly to diet in structure and function, is important for health and nutrition in animals. Our findings help resolve the major modulators of gut microbiome diversity in nonpasserine birds, which had not previously been well studied. The diet-microbe interactions and cooccurrence patterns identified in our study may be of special interest for future health assessment and conservation in birds. |
format | Online Article Text |
id | pubmed-8125056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-81250562021-05-21 Covariation of the Fecal Microbiome with Diet in Nonpasserine Birds Xiao, Kangpeng Fan, Yutan Zhang, Zhipeng Shen, Xuejuan Li, Xiaobing Liang, Xianghui Bi, Ran Wu, Yajiang Zhai, Junqiong Dai, Junwei Irwin, David M. Chen, Wu Shen, Yongyi mSphere Research Article Opportunistic feeding and multiple other environment factors can modulate the gut microbiome, and bias conclusions, when wild animals are used for studying the influence of phylogeny and diet on their gut microbiomes. Here, we controlled for these other confounding factors in our investigation of the magnitude of the effect of diet on the gut microbiome assemblies of nonpasserine birds. We collected fecal samples, at one point in time, from 35 species of birds in a single zoo as well as 6 species of domestic poultry from farms in Guangzhou city to minimize the influences from interfering factors. Specifically, we describe 16S rRNA amplicon data from 129 fecal samples obtained from 41 species of birds, with additional shotgun metagenomic sequencing data generated from 16 of these individuals. Our data show that diets containing native starch increase the abundance of Lactobacillus in the gut microbiome, while those containing plant-derived fiber mainly enrich the level of Clostridium. Greater numbers of Fusobacteria and Proteobacteria are detected in carnivorous birds, while in birds fed a commercial corn-soybean basal diet, a stronger inner-connected microbial community containing Clostridia and Bacteroidia was enriched. Furthermore, the metagenome functions of the microbes (such as lipid metabolism and amino acid synthesis) were adapted to the different food types to achieve a beneficial state for the host. In conclusion, the covariation of diet and gut microbiome identified in our study demonstrates a modulation of the gut microbiome by dietary diversity and helps us better understand how birds live based on diet-microbiome-host interactions. IMPORTANCE Our study identified food source, rather than host phylogeny, as the main factor modulating the gut microbiome diversity of nonpasserine birds, after minimizing the effects of other complex interfering factors such as weather, season, and geography. Adaptive evolution of microbes to food types formed a dietary-microbiome-host interaction reciprocal state. The covariation of diet and gut microbiome, including the response of microbiota assembly to diet in structure and function, is important for health and nutrition in animals. Our findings help resolve the major modulators of gut microbiome diversity in nonpasserine birds, which had not previously been well studied. The diet-microbe interactions and cooccurrence patterns identified in our study may be of special interest for future health assessment and conservation in birds. American Society for Microbiology 2021-05-12 /pmc/articles/PMC8125056/ /pubmed/33980682 http://dx.doi.org/10.1128/mSphere.00308-21 Text en Copyright © 2021 Xiao et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Xiao, Kangpeng Fan, Yutan Zhang, Zhipeng Shen, Xuejuan Li, Xiaobing Liang, Xianghui Bi, Ran Wu, Yajiang Zhai, Junqiong Dai, Junwei Irwin, David M. Chen, Wu Shen, Yongyi Covariation of the Fecal Microbiome with Diet in Nonpasserine Birds |
title | Covariation of the Fecal Microbiome with Diet in Nonpasserine Birds |
title_full | Covariation of the Fecal Microbiome with Diet in Nonpasserine Birds |
title_fullStr | Covariation of the Fecal Microbiome with Diet in Nonpasserine Birds |
title_full_unstemmed | Covariation of the Fecal Microbiome with Diet in Nonpasserine Birds |
title_short | Covariation of the Fecal Microbiome with Diet in Nonpasserine Birds |
title_sort | covariation of the fecal microbiome with diet in nonpasserine birds |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125056/ https://www.ncbi.nlm.nih.gov/pubmed/33980682 http://dx.doi.org/10.1128/mSphere.00308-21 |
work_keys_str_mv | AT xiaokangpeng covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT fanyutan covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT zhangzhipeng covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT shenxuejuan covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT lixiaobing covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT liangxianghui covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT biran covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT wuyajiang covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT zhaijunqiong covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT daijunwei covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT irwindavidm covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT chenwu covariationofthefecalmicrobiomewithdietinnonpasserinebirds AT shenyongyi covariationofthefecalmicrobiomewithdietinnonpasserinebirds |