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A passive mutualistic interaction promotes the evolution of spatial structure within microbial populations

Overview of attention for article published in BMC Ecology and Evolution, April 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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1 blog
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18 X users

Citations

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44 Dimensions

Readers on

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108 Mendeley
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Title
A passive mutualistic interaction promotes the evolution of spatial structure within microbial populations
Published in
BMC Ecology and Evolution, April 2017
DOI 10.1186/s12862-017-0950-y
Pubmed ID
Authors

Marie Marchal, Felix Goldschmidt, Selina N. Derksen-Müller, Sven Panke, Martin Ackermann, David R. Johnson

Abstract

While mutualistic interactions between different genotypes are pervasive in nature, their evolutionary origin is not clear. The dilemma is that, for mutualistic interactions to emerge and persist, an investment into the partner genotype must pay off: individuals of a first genotype that invest resources to promote the growth of a second genotype must receive a benefit that is not equally accessible to individuals that do not invest. One way for exclusive benefits to emerge is through spatial structure (i.e., physical barriers to the movement of individuals and resources). Here we propose that organisms can evolve their own spatial structure based on physical attachment between individuals, and we hypothesize that attachment evolves when spatial proximity to members of another species is advantageous. We tested this hypothesis using experimental evolution with combinations of E. coli strains that depend on each other to grow. We found that attachment between cells repeatedly evolved within 8 weeks of evolution and observed that many different types of mutations potentially contributed to increased attachment. We postulate a general principle by which passive beneficial interactions between organisms select for attachment, and attachment then provides spatial structure that could be conducive for the evolution of active mutualistic interactions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 2%
Unknown 106 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 29%
Researcher 18 17%
Student > Master 13 12%
Student > Bachelor 10 9%
Student > Doctoral Student 6 6%
Other 13 12%
Unknown 17 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 43%
Biochemistry, Genetics and Molecular Biology 12 11%
Immunology and Microbiology 11 10%
Environmental Science 5 5%
Physics and Astronomy 2 2%
Other 12 11%
Unknown 20 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 26 February 2018.
All research outputs
#2,124,387
of 25,382,440 outputs
Outputs from BMC Ecology and Evolution
#526
of 3,714 outputs
Outputs of similar age
#39,107
of 323,377 outputs
Outputs of similar age from BMC Ecology and Evolution
#13
of 63 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 85% of its peers.
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 323,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.