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Philosophical Transactions of the Royal Society B Biological Sciences
Article . 2020 . Peer-reviewed
License: Royal Society Data Sharing and Accessibility
Data sources: Crossref
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Metabolically cohesive microbial consortia and ecosystem functioning

Authors: Alberto Pascual-García; Sebastian Bonhoeffer; Thomas Bell;

Metabolically cohesive microbial consortia and ecosystem functioning

Abstract

Recent theory and experiments have reported a reproducible tendency for the coexistence of microbial species under controlled environmental conditions. This observation has been explained in the context of competition for resources and metabolic complementarity given that, in microbial communities (MCs), many excreted by-products of metabolism may also be resources. MCs therefore play a key role in promoting their own stability and in shaping the niches of the constituent taxa. We suggest that an intermediate level of organization between the species and the community level may be pervasive, where tightly knit metabolic interactions create discrete consortia that are stably maintained. We call these units Metabolically Cohesive Consortia (MeCoCos) and we discuss the environmental context in which we expect their formation, and the ecological and evolutionary consequences of their existence. We argue that the ability to identify MeCoCos would open new avenues to link the species-, community- and ecosystem-level properties, with consequences for our understanding of microbial ecology and evolution, and an improved ability to predict ecosystem functioning in the wild. This article is part of the theme issue ‘Conceptual challenges in microbial community ecology’.

Country
United Kingdom
Keywords

Life Sciences & Biomedicine - Other Topics, 570, Microbial Consortia, DIVERSITY, microbial ecology, GUT MICROBIOME, functional groups, Biology, 11 Medical and Health Sciences, Ecosystem, COOPERATION, Evolutionary Biology, Science & Technology, Bacteria, 500, 06 Biological Sciences, EVOLUTION, MODEL, K-SELECTION, ecosystem functioning, SYSTEMS BIOLOGY, BACTERIA, R-SELECTION, COMMUNITIES, Life Sciences & Biomedicine, metabolism

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    55
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Top 1%
Top 10%
Top 10%
Green
bronze