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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
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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.

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X Demographics

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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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 January 2016.
All research outputs
#15,455,365
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#6,595
of 9,043 outputs
Outputs of similar age
#180,918
of 323,190 outputs
Outputs of similar age from PLoS Computational Biology
#93
of 133 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.