Environmental and ecological controls of the spatial distribution of microbial populations in aggregates

Journal Article (2022)
Author(s)

Eloi Martinez-Rabert (University of Glasgow)

Chiel van Amstel (Student TU Delft)

Cindy J. Smith (University of Glasgow)

William T. Sloan (University of Glasgow)

R. Gonzalez Cabaleiro (TU Delft - BT/Environmental Biotechnology)

Research Group
BT/Environmental Biotechnology
Copyright
© 2022 Eloi Martinez-Rabert, Chiel van Amstel, Cindy Smith, William T. Sloan, R. Gonzalez Cabaleiro
DOI related publication
https://doi.org/10.1371/journal.pcbi.1010807
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Eloi Martinez-Rabert, Chiel van Amstel, Cindy Smith, William T. Sloan, R. Gonzalez Cabaleiro
Research Group
BT/Environmental Biotechnology
Issue number
12
Volume number
18
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Abstract

In microbial communities, the ecological interactions between species of different populations are responsible for the spatial distributions observed in aggregates (granules, biofilms or flocs). To explore the underlying mechanisms that control these processes, we have developed a mathematical modelling framework able to describe, label and quantify defined spatial structures that arise from microbial and environmental interactions in communities. An artificial system of three populations collaborating or competing in an aggregate is simulated using individual-based modelling under different environmental conditions. In this study, neutralism, competition, commensalism and concurrence of commensalism and competition have been considered. We were able to identify interspecific segregation of communities that appears in competitive environments (columned stratification), and a layered distribution of populations that emerges in commensal (layered stratification). When different ecological interactions were considered in the same aggregate, the resultant spatial distribution was identified as the one controlled by the most limiting substrate. A theoretical modulus was defined, with which we were able to quantify the effect of environmental conditions and ecological interactions to predict the most probable spatial distribution. The specific microbial patterns observed in our results allowed us to identify the optimal spatial organizations for bacteria to thrive when building a microbial community and how this permitted co-existence of populations at different growth rates. Our model reveals that although ecological relationships between different species dictate the distribution of bacteria, the environment controls the final spatial distribution of the community.