Synthetic Methane-Consuming Communities from a Natural Lake Sediment

The metabolism of methane is an important part of the global carbon cycle. While deciphering the community function and the potential role of the different functional guilds is very difficult when considering native complex communities, synthetic communities, built of species originating from a stud...

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Main Authors: Zheng Yu, Joseph Groom, Yue Zheng, Ludmila Chistoserdova, Jing Huang
Format: Article
Language:English
Published: American Society for Microbiology 2019-07-01
Series:mBio
Subjects:
Online Access:https://doi.org/10.1128/mBio.01072-19
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spelling doaj-693cc683d2044ffda19605147dd447502021-07-02T11:37:00ZengAmerican Society for MicrobiologymBio2150-75112019-07-01104e01072-1910.1128/mBio.01072-19Synthetic Methane-Consuming Communities from a Natural Lake SedimentZheng YuJoseph GroomYue ZhengLudmila ChistoserdovaJing HuangThe metabolism of methane is an important part of the global carbon cycle. While deciphering the community function and the potential role of the different functional guilds is very difficult when considering native complex communities, synthetic communities, built of species originating from a study site in question, present a simplified model and allow specific questions to be addressed as to carbon, nitrogen, and other nutrient transfer among species in a controlled system. This study applies an ecophysiological approach, as a proof of principle, to an already well-studied model system, contributing to a better understanding of microbial community function and microbial ecosystem processes.The factors and processes that influence the behavior and functionality of ecosystems inhabited by complex microbiomes are still far from being clearly understood. Synthetic microbial communities provide reduced-complexity models that allow an examination of ecological theories under defined and controlled conditions. In this study, we applied a multiphasic approach to study synthetic methane-oxidizing communities and species interactions as proxies to the natural communities. Our results confirm that, under selective pressures, natural-sediment communities of high complexity simplify rapidly, selecting for several major functional guilds, the major partners in methane oxidation being the Methylococcaceae methanotrophs and the Methylophilaceae methylotrophs, along with minor but persistent partners, members of Burkholderiales and Flavobacteriales. As a proof of concept, we established minimalist synthetic communities that were representative of the four functional guilds to demonstrate the dependency of the non-methane-utilizing species on the methanotrophs as the primary carbon-providing species. We observed that in communities consisting of multiple representatives of the key guilds, members of the same guild appeared to compete for resources. For example, when two methanotrophs of the same family were present, the two expressed similar key methanotrophy pathways and responded similarly to changing environmental conditions, suggesting that they perform a similar keystone function in situ. Similar observations were made for the Methylophilaceae. However, differences were noted in the expression of auxiliary and unique genes among strains of the same functional guild, reflecting differential adaptation and suggesting mechanisms for competition. At the same time, differences were also noted in the performances of partners with specific metabolic schemes. For example, a mutant of Methylotenera mobilis impaired in nitrate utilization behaved as a more efficient cooperator in methane consumption, suggesting that the loss of function may lead to changes in communal behavior. Overall, we demonstrate the robust nature of synthetic communities built of native lake sediment strains and their utility in addressing important ecological questions while using a simplified model.https://doi.org/10.1128/mBio.01072-19methane oxidationsynthetic communitymethanotrophsspecies interactions
collection DOAJ
language English
format Article
sources DOAJ
author Zheng Yu
Joseph Groom
Yue Zheng
Ludmila Chistoserdova
Jing Huang
spellingShingle Zheng Yu
Joseph Groom
Yue Zheng
Ludmila Chistoserdova
Jing Huang
Synthetic Methane-Consuming Communities from a Natural Lake Sediment
mBio
methane oxidation
synthetic community
methanotrophs
species interactions
author_facet Zheng Yu
Joseph Groom
Yue Zheng
Ludmila Chistoserdova
Jing Huang
author_sort Zheng Yu
title Synthetic Methane-Consuming Communities from a Natural Lake Sediment
title_short Synthetic Methane-Consuming Communities from a Natural Lake Sediment
title_full Synthetic Methane-Consuming Communities from a Natural Lake Sediment
title_fullStr Synthetic Methane-Consuming Communities from a Natural Lake Sediment
title_full_unstemmed Synthetic Methane-Consuming Communities from a Natural Lake Sediment
title_sort synthetic methane-consuming communities from a natural lake sediment
publisher American Society for Microbiology
series mBio
issn 2150-7511
publishDate 2019-07-01
description The metabolism of methane is an important part of the global carbon cycle. While deciphering the community function and the potential role of the different functional guilds is very difficult when considering native complex communities, synthetic communities, built of species originating from a study site in question, present a simplified model and allow specific questions to be addressed as to carbon, nitrogen, and other nutrient transfer among species in a controlled system. This study applies an ecophysiological approach, as a proof of principle, to an already well-studied model system, contributing to a better understanding of microbial community function and microbial ecosystem processes.The factors and processes that influence the behavior and functionality of ecosystems inhabited by complex microbiomes are still far from being clearly understood. Synthetic microbial communities provide reduced-complexity models that allow an examination of ecological theories under defined and controlled conditions. In this study, we applied a multiphasic approach to study synthetic methane-oxidizing communities and species interactions as proxies to the natural communities. Our results confirm that, under selective pressures, natural-sediment communities of high complexity simplify rapidly, selecting for several major functional guilds, the major partners in methane oxidation being the Methylococcaceae methanotrophs and the Methylophilaceae methylotrophs, along with minor but persistent partners, members of Burkholderiales and Flavobacteriales. As a proof of concept, we established minimalist synthetic communities that were representative of the four functional guilds to demonstrate the dependency of the non-methane-utilizing species on the methanotrophs as the primary carbon-providing species. We observed that in communities consisting of multiple representatives of the key guilds, members of the same guild appeared to compete for resources. For example, when two methanotrophs of the same family were present, the two expressed similar key methanotrophy pathways and responded similarly to changing environmental conditions, suggesting that they perform a similar keystone function in situ. Similar observations were made for the Methylophilaceae. However, differences were noted in the expression of auxiliary and unique genes among strains of the same functional guild, reflecting differential adaptation and suggesting mechanisms for competition. At the same time, differences were also noted in the performances of partners with specific metabolic schemes. For example, a mutant of Methylotenera mobilis impaired in nitrate utilization behaved as a more efficient cooperator in methane consumption, suggesting that the loss of function may lead to changes in communal behavior. Overall, we demonstrate the robust nature of synthetic communities built of native lake sediment strains and their utility in addressing important ecological questions while using a simplified model.
topic methane oxidation
synthetic community
methanotrophs
species interactions
url https://doi.org/10.1128/mBio.01072-19
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