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Microbial expansion–collision dynamics promote cooperation and coexistence on surfaces

Overview of attention for article published in Evolution, December 2017
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20 Mendeley
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Article details
Title
Microbial expansion–collision dynamics promote cooperation and coexistence on surfaces
Published in
Evolution, December 2017
DOI 10.1111/evo.13393
Pubmed ID
Authors
Abstract

Microbes colonizing a surface often experience colony growth dynamics characterized by an initial phase of spatial clonal expansion followed by collision between neighboring colonies to form potentially genetically heterogeneous boundaries. For species with life cycles consisting of repeated surface colonization and dispersal, these spatially-explicit "expansion-collision dynamics" generate periodic transitions between two distinct selective regimes, "expansion competition" and "boundary competition", each one favoring a different growth strategy. We hypothesized that this dynamic could promote stable coexistence of expansion- and boundary-competition specialists by generating time-varying, negative frequency-dependent selection that insulates both types from extinction. We tested this experimentally in budding yeast by competing an exo-enzyme secreting "cooperator" strain (expansion-competition specialists) against non-secreting "defectors" (boundary-competition specialists). As predicted, we observed cooperator-defector coexistence or cooperator dominance with expansion-collision dynamics, but only defector dominance otherwise. Also as predicted, the steady-state frequency of cooperators was determined by colonization density (the average initial cell-cell distance) and cost of cooperation. Lattice-based spatial simulations give good qualitative agreement with experiments, supporting our hypothesis that expansion-collision dynamics with costly public goods production is sufficient to generate stable cooperator-defector coexistence. This mechanism may be important for maintaining public-goods cooperation-and-conflict in microbial pioneer species living on surfaces. This article is protected by copyright. All rights reserved.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Student > Master 2 10%
Researcher 2 10%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Other 3 15%
Unknown 5 25%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 6 30%
Physics and Astronomy 2 10%
Chemical Engineering 1 5%
Environmental Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 1 5%
Unknown 8 40%
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 10 January 2018.
All research outputs
#18,471,561
of 29,836,687 outputs
Outputs from Evolution
#4,935
of 6,359 outputs
Outputs of similar age
#251,632
of 456,807 outputs
Outputs of similar age from Evolution
#48
of 64 outputs
Altmetric has tracked 29,836,687 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 20th percentile – i.e., 20% 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 456,807 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.