↓ Skip to main content

PLOS

Metabolic and Demographic Feedbacks Shape the Emergent Spatial Structure and Function of Microbial Communities

Overview of attention for article published in PLoS Computational Biology, December 2013
Altmetric Badge

Mentioned by

twitter
4 X users

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
194 Mendeley
citeulike
3 CiteULike
Title
Metabolic and Demographic Feedbacks Shape the Emergent Spatial Structure and Function of Microbial Communities
Published in
PLoS Computational Biology, December 2013
DOI 10.1371/journal.pcbi.1003398
Pubmed ID
Authors

Sylvie Estrela, Sam P. Brown

Abstract

Microbes are predominantly found in surface-attached and spatially structured polymicrobial communities. Within these communities, microbial cells excrete a wide range of metabolites, setting the stage for interspecific metabolic interactions. The links, however, between metabolic and ecological interactions (functional relationships), and species spatial organization (structural relationships) are still poorly understood. Here, we use an individual-based modelling framework to simulate the growth of a two-species surface-attached community where food (resource) is traded for detoxification (service) and investigate how metabolic constraints of individual species shape the emergent structural and functional relationships of the community. We show that strong metabolic interdependence drives the emergence of mutualism, robust interspecific mixing, and increased community productivity. Specifically, we observed a striking and highly stable emergent lineage branching pattern, generating a persistent lineage mixing that was absent when the metabolic exchange was removed. These emergent community properties are driven by demographic feedbacks, such that aid from neighbouring cells directly enhances focal cell growth, which in turn feeds back to neighbour fecundity. In contrast, weak metabolic interdependence drives conflict (exploitation or competition), and in turn greater interspecific segregation. Together, these results support the idea that species structural and functional relationships represent the net balance of metabolic interdependencies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 4 2%
United States 4 2%
United Kingdom 3 2%
France 2 1%
Belgium 1 <1%
India 1 <1%
Japan 1 <1%
Poland 1 <1%
Unknown 177 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 26%
Researcher 41 21%
Student > Master 19 10%
Student > Doctoral Student 15 8%
Student > Postgraduate 12 6%
Other 32 16%
Unknown 24 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 45%
Immunology and Microbiology 21 11%
Biochemistry, Genetics and Molecular Biology 19 10%
Environmental Science 12 6%
Physics and Astronomy 6 3%
Other 14 7%
Unknown 35 18%