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Inhibition of Bacterial Conjugation by Phage M13 and Its Protein g3p: Quantitative Analysis and Model

Overview of attention for article published in PLOS ONE, May 2011
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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1 X user
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13 patents

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169 Mendeley
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Article details
Title
Inhibition of Bacterial Conjugation by Phage M13 and Its Protein g3p: Quantitative Analysis and Model
Published in
PLOS ONE, May 2011
DOI 10.1371/journal.pone.0019991
Pubmed ID
Authors
Abstract

Conjugation is the main mode of horizontal gene transfer that spreads antibiotic resistance among bacteria. Strategies for inhibiting conjugation may be useful for preserving the effectiveness of antibiotics and preventing the emergence of bacterial strains with multiple resistances. Filamentous bacteriophages were first observed to inhibit conjugation several decades ago. Here we investigate the mechanism of inhibition and find that the primary effect on conjugation is occlusion of the conjugative pilus by phage particles. This interaction is mediated primarily by phage coat protein g3p, and exogenous addition of the soluble fragment of g3p inhibited conjugation at low nanomolar concentrations. Our data are quantitatively consistent with a simple model in which association between the pili and phage particles or g3p prevents transmission of an F plasmid encoding tetracycline resistance. We also observe a decrease in the donor ability of infected cells, which is quantitatively consistent with a reduction in pili elaboration. Since many antibiotic-resistance factors confer susceptibility to phage infection through expression of conjugative pili (the receptor for filamentous phage), these results suggest that phage may be a source of soluble proteins that slow the spread of antibiotic resistance genes.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 169 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 %
United States 1 <1%
Russia 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Belgium 1 <1%
Unknown 164 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 33 20%
Student > Ph. D. Student 30 18%
Researcher 25 15%
Student > Master 19 11%
Professor > Associate Professor 7 4%
Other 23 14%
Unknown 32 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 49 29%
Biochemistry, Genetics and Molecular Biology 43 25%
Immunology and Microbiology 12 7%
Chemistry 10 6%
Engineering 4 2%
Other 20 12%
Unknown 31 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 15 August 2023.
All research outputs
#5,030,302
of 34,362,729 outputs
Outputs from PLOS ONE
#51,700
of 224,527 outputs
Outputs of similar age
#23,890
of 162,973 outputs
Outputs of similar age from PLOS ONE
#501
of 2,079 outputs
Altmetric has tracked 34,362,729 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,527 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has done well, scoring higher than 76% 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 162,973 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 85% of its contemporaries.
We're also able to compare this research output to 2,079 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.