Generalizing game-changing species across microbial communities
Name
s43705-021-00022-2.pdf
Description
Published version
Size
954.3 KB
Format
Adobe PDF
Checksum (MD5)
517bb79fb2a9adc629b55d84d6ee2ea3
Author(s)
Deng, Jie
Angulo, Marco Tulio
Saavedra, Serguei
Date Issued
2021
Journal
ISME Communications
Publisher
Springer Science and Business Media LLC
Citation
Deng, Jie, Angulo, Marco Tulio and Saavedra, Serguei. 2021. "Generalizing game-changing species across microbial communities." ISME Communications, 1 (1).
Version
Final published version
Abstract
AbstractMicrobes form multispecies communities that play essential roles in our environment and health. Not surprisingly, there is an increasing need for understanding if certain invader species will modify a given microbial community, producing either a desired or undesired change in the observed collection of resident species. However, the complex interactions that species can establish between each other and the diverse external factors underlying their dynamics have made constructing such understanding context-specific. Here we integrate tractable theoretical systems with tractable experimental systems to find general conditions under which non-resident species can change the collection of resident communities—game-changing species. We show that non-resident colonizers are more likely to be game-changers than transients, whereas game-changers are more likely to suppress than to promote resident species. Importantly, we find general heuristic rules for game-changers under controlled environments by integrating mutual invasibility theory with in vitro experimental systems, and general heuristic rules under changing environments by integrating structuralist theory with in vivo experimental systems. Despite the strong context-dependency of microbial communities, our work shows that under an appropriate integration of tractable theoretical and experimental systems, it is possible to unveil regularities that can then be potentially extended to understand the behavior of complex natural communities.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/S43705-021-00022-2
