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Understanding the evolution of interspecies interactions in microbial communities
by
Gorter, Florien A.
, Ackermann, Martin
, Manhart, Michael
in
Bacteria
/ Bacterial Physiological Phenomena
/ Biological Evolution
/ Microbial Interactions
/ Microbiota
/ Models, Biological
/ Opinion Piece
2020
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Do you wish to request the book?
Understanding the evolution of interspecies interactions in microbial communities
by
Gorter, Florien A.
, Ackermann, Martin
, Manhart, Michael
in
Bacteria
/ Bacterial Physiological Phenomena
/ Biological Evolution
/ Microbial Interactions
/ Microbiota
/ Models, Biological
/ Opinion Piece
2020
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Understanding the evolution of interspecies interactions in microbial communities
Journal Article
Understanding the evolution of interspecies interactions in microbial communities
2020
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Overview
Microbial communities are complex multi-species assemblages that are characterized by a multitude of interspecies interactions, which can range from mutualism to competition. The overall sign and strength of interspecies interactions have important consequences for emergent community-level properties such as productivity and stability. It is not well understood how interspecies interactions change over evolutionary timescales. Here, we review the empirical evidence that evolution is an important driver of microbial community properties and dynamics on timescales that have traditionally been regarded as purely ecological. Next, we briefly discuss different modelling approaches to study evolution of communities, emphasizing the similarities and differences between evolutionary and ecological perspectives. We then propose a simple conceptual model for the evolution of interspecies interactions in communities. Specifically, we propose that to understand the evolution of interspecies interactions, it is important to distinguish between direct and indirect fitness effects of a mutation. We predict that in well-mixed environments, traits will be selected exclusively for their direct fitness effects, while in spatially structured environments, traits may also be selected for their indirect fitness effects. Selection of indirectly beneficial traits should result in an increase in interaction strength over time, while selection of directly beneficial traits should not have such a systematic effect. We tested our intuitions using a simple quantitative model and found support for our hypotheses. The next step will be to test these hypotheses experimentally and provide input for a more refined version of the model in turn, thus closing the scientific cycle of models and experiments. This article is part of the theme issue ‘Conceptual challenges in microbial community ecology’.
Publisher
The Royal Society
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