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Extracellular enzyme production and cheating in Pseudomonas fluorescens depend on diffusion rates

Overview of attention for article published in Frontiers in Microbiology, April 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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Title
Extracellular enzyme production and cheating in Pseudomonas fluorescens depend on diffusion rates
Published in
Frontiers in Microbiology, April 2014
DOI 10.3389/fmicb.2014.00169
Pubmed ID
Authors

Steven D. Allison, Lucy Lu, Alyssa G. Kent, Adam C. Martiny

Abstract

Bacteria produce extracellular enzymes to obtain resources from complex chemical substrates, but this strategy is vulnerable to cheating by cells that take up reaction products without paying the cost of enzyme production. We hypothesized that cheating would suppress enzyme production in co-cultures of cheater and producer bacteria, particularly under well-mixed conditions. To test this hypothesis, we monitored protease expression and frequencies of Pseudomonas fluorescens producer and cheater genotypes over time in mixed liquid cultures and on agar plates. In mixed culture inoculated with equal frequencies of cheaters and producers, enzyme concentration declined to zero after 20 days, consistent with our hypothesis. We observed a similar decline in cultures inoculated with producers only, suggesting that cheater mutants arose de novo and swept the population. DNA sequencing showed that genetic changes most likely occurred outside the protease operon. In one experimental replicate, the population regained the ability to produce protease, likely due to further genetic changes or population dynamics. Under spatially structured conditions on agar plates, cheaters did not sweep the population. Instead, we observed a significant increase in the variation of enzyme activity levels expressed by clones isolated from the population. Together these results suggest that restricted diffusion favors a diversity of enzyme production strategies. In contrast, well-mixed conditions favor population sweeps by cheater strains, consistent with theoretical predictions. Cheater and producer strategies likely coexist in natural environments with the frequency of cheating increasing with diffusion rate.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Denmark 1 <1%
Switzerland 1 <1%
Unknown 106 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 33%
Student > Master 14 13%
Student > Bachelor 13 12%
Researcher 13 12%
Student > Doctoral Student 6 5%
Other 12 11%
Unknown 16 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 35%
Environmental Science 18 16%
Biochemistry, Genetics and Molecular Biology 9 8%
Immunology and Microbiology 8 7%
Earth and Planetary Sciences 5 5%
Other 10 9%
Unknown 22 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 June 2014.
All research outputs
#2,840,993
of 23,106,390 outputs
Outputs from Frontiers in Microbiology
#2,484
of 25,291 outputs
Outputs of similar age
#29,536
of 227,797 outputs
Outputs of similar age from Frontiers in Microbiology
#15
of 158 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,291 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 90% 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 227,797 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 158 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.