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Impact of interspecific interactions on antimicrobial activity among soil bacteria

Overview of attention for article published in Frontiers in Microbiology, October 2014
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Impact of interspecific interactions on antimicrobial activity among soil bacteria
Published in
Frontiers in Microbiology, October 2014
DOI 10.3389/fmicb.2014.00567
Pubmed ID
Authors

Olaf Tyc, Marlies van den Berg, Saskia Gerards, Johannes A. van Veen, Jos M. Raaijmakers, Wietse de Boer, Paolina Garbeva

Abstract

Certain bacterial species produce antimicrobial compounds only in the presence of a competing species. However, little is known on the frequency of interaction-mediated induction of antibiotic compound production in natural communities of soil bacteria. Here we developed a high-throughput method to screen for the production of antimicrobial activity by monocultures and pair-wise combinations of 146 phylogenetically different bacteria isolated from similar soil habitats. Growth responses of two human pathogenic model organisms, Escherichia coli WA321 and Staphylococcus aureus 533R4, were used to monitor antimicrobial activity. From all isolates, 33% showed antimicrobial activity only in monoculture and 42% showed activity only when tested in interactions. More bacterial isolates were active against S. aureus than against E. coli. The frequency of interaction-mediated induction of antimicrobial activity was 6% (154 interactions out of 2798) indicating that only a limited set of species combinations showed such activity. The screening revealed also interaction-mediated suppression of antimicrobial activity for 22% of all combinations tested. Whereas all patterns of antimicrobial activity (non-induced production, induced production and suppression) were seen for various bacterial classes, interaction-mediated induction of antimicrobial activity was more frequent for combinations of Flavobacteria and alpha- Proteobacteria. The results of our study give a first indication on the frequency of interference competitive interactions in natural soil bacterial communities which may forms a basis for selection of bacterial groups that are promising for the discovery of novel, cryptic antibiotics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Unknown 278 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 21%
Student > Master 44 16%
Student > Bachelor 44 16%
Researcher 42 15%
Student > Doctoral Student 16 6%
Other 28 10%
Unknown 50 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 120 43%
Biochemistry, Genetics and Molecular Biology 37 13%
Immunology and Microbiology 27 10%
Environmental Science 12 4%
Chemistry 6 2%
Other 17 6%
Unknown 63 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 March 2017.
All research outputs
#8,577,479
of 26,017,215 outputs
Outputs from Frontiers in Microbiology
#8,958
of 29,749 outputs
Outputs of similar age
#90,111
of 277,909 outputs
Outputs of similar age from Frontiers in Microbiology
#83
of 186 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 29,749 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 68% 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 277,909 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.