Cargando…

Temperature-Induced Annual Variation in Microbial Community Changes and Resulting Metabolome Shifts in a Controlled Fermentation System

We are rapidly increasing our understanding on the spatial distribution of microbial communities. However, microbial functioning, as well as temporal differences and mechanisms causing microbial community shifts, remains comparably little explored. Here, using Chinese liquor fermentation as a model...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Shilei, Xiong, Wu, Wang, Yuqiao, Nie, Yao, Wu, Qun, Xu, Yan, Geisen, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566281/
https://www.ncbi.nlm.nih.gov/pubmed/32694129
http://dx.doi.org/10.1128/mSystems.00555-20
_version_ 1783596113868095488
author Wang, Shilei
Xiong, Wu
Wang, Yuqiao
Nie, Yao
Wu, Qun
Xu, Yan
Geisen, Stefan
author_facet Wang, Shilei
Xiong, Wu
Wang, Yuqiao
Nie, Yao
Wu, Qun
Xu, Yan
Geisen, Stefan
author_sort Wang, Shilei
collection PubMed
description We are rapidly increasing our understanding on the spatial distribution of microbial communities. However, microbial functioning, as well as temporal differences and mechanisms causing microbial community shifts, remains comparably little explored. Here, using Chinese liquor fermentation as a model system containing a low microbial diversity, we studied temporal changes in microbial community structure and functioning. For that, we used high-throughput sequencing to analyze the composition of bacteria and fungi and analyzed the microbially derived metabolome throughout the fermentation process in all four seasons in both 2018 and 2019. We show that microbial communities and the metabolome changed throughout the fermentation process in each of the four seasons, with metabolome diversity increasing throughout the fermentation process. Across seasons, bacterial and fungal communities as well as the metabolome driven by 10 indicator microorganisms and six metabolites varied even more. Daily average temperature in the external surroundings was the primary determinant of the observed temporal microbial community and metabolome changes. Collectively, our work reveals critical insights into patterns and processes determining temporal changes of microbial community composition and functioning. We highlight the importance of linking taxonomic to functional changes in microbial ecology to enable predictions of human-relevant applications. IMPORTANCE We used Chinese liquor fermentation as a model system to show that microbiome composition changes more dramatically across seasons than throughout the fermentation process within seasons. These changes translate to differences in the metabolome as the ultimate functional outcome of microbial activity, suggesting that temporal changes in microbiome composition are translating into functional changes. This result is striking as it suggests that microbial functioning, despite controlled conditions in the fermentors, fluctuates over season along with external temperature differences, which threatens a reproducible food taste. As such, we believe that our study provides a stepping-stone into novel taxonomy-functional studies that promote future work in other systems and that also is relevant in applied settings to better control surrounding conditions in food production.
format Online
Article
Text
id pubmed-7566281
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher American Society for Microbiology
record_format MEDLINE/PubMed
spelling pubmed-75662812020-10-30 Temperature-Induced Annual Variation in Microbial Community Changes and Resulting Metabolome Shifts in a Controlled Fermentation System Wang, Shilei Xiong, Wu Wang, Yuqiao Nie, Yao Wu, Qun Xu, Yan Geisen, Stefan mSystems Research Article We are rapidly increasing our understanding on the spatial distribution of microbial communities. However, microbial functioning, as well as temporal differences and mechanisms causing microbial community shifts, remains comparably little explored. Here, using Chinese liquor fermentation as a model system containing a low microbial diversity, we studied temporal changes in microbial community structure and functioning. For that, we used high-throughput sequencing to analyze the composition of bacteria and fungi and analyzed the microbially derived metabolome throughout the fermentation process in all four seasons in both 2018 and 2019. We show that microbial communities and the metabolome changed throughout the fermentation process in each of the four seasons, with metabolome diversity increasing throughout the fermentation process. Across seasons, bacterial and fungal communities as well as the metabolome driven by 10 indicator microorganisms and six metabolites varied even more. Daily average temperature in the external surroundings was the primary determinant of the observed temporal microbial community and metabolome changes. Collectively, our work reveals critical insights into patterns and processes determining temporal changes of microbial community composition and functioning. We highlight the importance of linking taxonomic to functional changes in microbial ecology to enable predictions of human-relevant applications. IMPORTANCE We used Chinese liquor fermentation as a model system to show that microbiome composition changes more dramatically across seasons than throughout the fermentation process within seasons. These changes translate to differences in the metabolome as the ultimate functional outcome of microbial activity, suggesting that temporal changes in microbiome composition are translating into functional changes. This result is striking as it suggests that microbial functioning, despite controlled conditions in the fermentors, fluctuates over season along with external temperature differences, which threatens a reproducible food taste. As such, we believe that our study provides a stepping-stone into novel taxonomy-functional studies that promote future work in other systems and that also is relevant in applied settings to better control surrounding conditions in food production. American Society for Microbiology 2020-07-21 /pmc/articles/PMC7566281/ /pubmed/32694129 http://dx.doi.org/10.1128/mSystems.00555-20 Text en Copyright © 2020 Wang 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
Wang, Shilei
Xiong, Wu
Wang, Yuqiao
Nie, Yao
Wu, Qun
Xu, Yan
Geisen, Stefan
Temperature-Induced Annual Variation in Microbial Community Changes and Resulting Metabolome Shifts in a Controlled Fermentation System
title Temperature-Induced Annual Variation in Microbial Community Changes and Resulting Metabolome Shifts in a Controlled Fermentation System
title_full Temperature-Induced Annual Variation in Microbial Community Changes and Resulting Metabolome Shifts in a Controlled Fermentation System
title_fullStr Temperature-Induced Annual Variation in Microbial Community Changes and Resulting Metabolome Shifts in a Controlled Fermentation System
title_full_unstemmed Temperature-Induced Annual Variation in Microbial Community Changes and Resulting Metabolome Shifts in a Controlled Fermentation System
title_short Temperature-Induced Annual Variation in Microbial Community Changes and Resulting Metabolome Shifts in a Controlled Fermentation System
title_sort temperature-induced annual variation in microbial community changes and resulting metabolome shifts in a controlled fermentation system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566281/
https://www.ncbi.nlm.nih.gov/pubmed/32694129
http://dx.doi.org/10.1128/mSystems.00555-20
work_keys_str_mv AT wangshilei temperatureinducedannualvariationinmicrobialcommunitychangesandresultingmetabolomeshiftsinacontrolledfermentationsystem
AT xiongwu temperatureinducedannualvariationinmicrobialcommunitychangesandresultingmetabolomeshiftsinacontrolledfermentationsystem
AT wangyuqiao temperatureinducedannualvariationinmicrobialcommunitychangesandresultingmetabolomeshiftsinacontrolledfermentationsystem
AT nieyao temperatureinducedannualvariationinmicrobialcommunitychangesandresultingmetabolomeshiftsinacontrolledfermentationsystem
AT wuqun temperatureinducedannualvariationinmicrobialcommunitychangesandresultingmetabolomeshiftsinacontrolledfermentationsystem
AT xuyan temperatureinducedannualvariationinmicrobialcommunitychangesandresultingmetabolomeshiftsinacontrolledfermentationsystem
AT geisenstefan temperatureinducedannualvariationinmicrobialcommunitychangesandresultingmetabolomeshiftsinacontrolledfermentationsystem