Full text
2,134 characters
· extracted from
oa-doi-fallback
· click to expand
This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
You must log in to post a comment.
There are no comments or no comments have been made public for this article.
This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
Add a Comment
You must log in to post a comment.
Comments
There are no comments or no comments have been made public for this article.
When bacteria evolve new traits, this can be either to our benefit or harm. Trying to steer and control evolution in desirable directions is a major, but daunting aspiration of recent research. In natural systems and complex communities, however, it is repeatedly observed that trait evolution regularly deviates from predicted avenues suggested by in vitro experimentation on monocultures. This pinpoints the effects of species interactions within microbial networks, which opens the door to use them to direct evolution. Unfortunately, this is not trivial; the impacts of ecological interactions between species within communities on evolutionary trajectories are not yet fully understood. Beside the introduced complexity caused by multiple species interactions, the nature of affected niches should also be important. When evolution of environmental β-niche traits (e.g. pH adaptation or antibiotic treatment resistance) is of concern, biotic interactions may have little direct impact. However, evolution of resource-based α-niche traits (e.g. broadened resource consumption) within competitive communities commonly is and could modify evolution of β-niches indirectly. Thus, co-evolving communities may display so far unpreceded opportunities to deflect trait evolution that cannot be achieved in other ways. Intelligent designed studies, building on ecological and evolutionary principles, will be needed to move this field forward.
https://doi.org/10.32942/X21G95
Life Sciences
evolving bacterial communities
Published: 2025-01-16 03:43
CC-BY Attribution-NonCommercial-ShareAlike 4.0 International
Conflict of interest statement:
None
Data and Code Availability Statement:
Not applicable
Language:
English
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.