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University of Dundee

Division of Labor during Biofilm Matrix Production

Overview of attention for article published in Current Biology, June 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
93 X users
f1000
1 research highlight platform

Citations

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208 Dimensions

Readers on

mendeley
338 Mendeley
citeulike
1 CiteULike
Title
Division of Labor during Biofilm Matrix Production
Published in
Current Biology, June 2018
DOI 10.1016/j.cub.2018.04.046
Pubmed ID
Authors

Anna Dragoš, Heiko Kiesewalter, Marivic Martin, Chih-Yu Hsu, Raimo Hartmann, Tobias Wechsler, Carsten Eriksen, Susanne Brix, Knut Drescher, Nicola Stanley-Wall, Rolf Kümmerli, Ákos T. Kovács

Abstract

Organisms as simple as bacteria can engage in complex collective actions, such as group motility and fruiting body formation. Some of these actions involve a division of labor, where phenotypically specialized clonal subpopulations or genetically distinct lineages cooperate with each other by performing complementary tasks. Here, we combine experimental and computational approaches to investigate potential benefits arising from division of labor during biofilm matrix production. We show that both phenotypic and genetic strategies for a division of labor can promote collective biofilm formation in the soil bacterium Bacillus subtilis. In this species, biofilm matrix consists of two major components, exopolysaccharides (EPSs) and TasA. We observed that clonal groups of B. subtilis phenotypically segregate into three subpopulations composed of matrix non-producers, EPS producers, and generalists, which produce both EPSs and TasA. This incomplete phenotypic specialization was outperformed by a genetic division of labor, where two mutants, engineered as specialists, complemented each other by exchanging EPSs and TasA. The relative fitness of the two mutants displayed a negative frequency dependence both in vitro and on plant roots, with strain frequency reaching a stable equilibrium at 30% TasA producers, corresponding exactly to the population composition where group productivity is maximized. Using individual-based modeling, we show that asymmetries in strain ratio can arise due to differences in the relative benefits that matrix compounds generate for the collective and that genetic division of labor can be favored when it breaks metabolic constraints associated with the simultaneous production of two matrix components.

X Demographics

X Demographics

The data shown below were collected from the profiles of 93 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 338 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 338 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 88 26%
Student > Master 39 12%
Student > Bachelor 38 11%
Researcher 35 10%
Student > Doctoral Student 17 5%
Other 44 13%
Unknown 77 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 79 23%
Agricultural and Biological Sciences 67 20%
Immunology and Microbiology 38 11%
Physics and Astronomy 18 5%
Engineering 14 4%
Other 38 11%
Unknown 84 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 66. 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 11 April 2022.
All research outputs
#659,526
of 25,750,437 outputs
Outputs from Current Biology
#2,275
of 14,812 outputs
Outputs of similar age
#14,270
of 343,341 outputs
Outputs of similar age from Current Biology
#50
of 215 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,812 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.5. This one has done well, scoring higher than 84% 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 343,341 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.