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The Mechanistic Basis of Myxococcus xanthus Rippling Behavior and Its Physiological Role during Predation

Overview of attention for article published in PLoS Computational Biology, September 2012
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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2 news outlets
blogs
3 blogs
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2 X users

Citations

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41 Dimensions

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55 Mendeley
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Title
The Mechanistic Basis of Myxococcus xanthus Rippling Behavior and Its Physiological Role during Predation
Published in
PLoS Computational Biology, September 2012
DOI 10.1371/journal.pcbi.1002715
Pubmed ID
Authors

Haiyang Zhang, Zalman Vaksman, Douglas B. Litwin, Peng Shi, Heidi B. Kaplan, Oleg A. Igoshin

Abstract

Myxococcus xanthus cells self-organize into periodic bands of traveling waves, termed ripples, during multicellular fruiting body development and predation on other bacteria. To investigate the mechanistic basis of rippling behavior and its physiological role during predation by this Gram-negative soil bacterium, we have used an approach that combines mathematical modeling with experimental observations. Specifically, we developed an agent-based model (ABM) to simulate rippling behavior that employs a new signaling mechanism to trigger cellular reversals. The ABM has demonstrated that three ingredients are sufficient to generate rippling behavior: (i) side-to-side signaling between two cells that causes one of the cells to reverse, (ii) a minimal refractory time period after each reversal during which cells cannot reverse again, and (iii) physical interactions that cause the cells to locally align. To explain why rippling behavior appears as a consequence of the presence of prey, we postulate that prey-associated macromolecules indirectly induce ripples by stimulating side-to-side contact-mediated signaling. In parallel to the simulations, M. xanthus predatory rippling behavior was experimentally observed and analyzed using time-lapse microscopy. A formalized relationship between the wavelength, reversal time, and cell velocity has been predicted by the simulations and confirmed by the experimental data. Furthermore, the results suggest that the physiological role of rippling behavior during M. xanthus predation is to increase the rate of spreading over prey cells due to increased side-to-side contact-mediated signaling and to allow predatory cells to remain on the prey longer as a result of more periodic cell motility.

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X Demographics

The data shown below were collected from the profiles of 2 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Portugal 1 2%
Unknown 52 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Researcher 11 20%
Student > Bachelor 7 13%
Professor > Associate Professor 5 9%
Student > Master 4 7%
Other 10 18%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 35%
Physics and Astronomy 12 22%
Biochemistry, Genetics and Molecular Biology 7 13%
Immunology and Microbiology 4 7%
Chemical Engineering 1 2%
Other 4 7%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 23 September 2013.
All research outputs
#1,079,693
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#868
of 8,964 outputs
Outputs of similar age
#6,222
of 191,010 outputs
Outputs of similar age from PLoS Computational Biology
#13
of 117 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 191,010 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 96% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.