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Inhibition of the growth ofBacillus subtilisDSM10 by a newly discovered antibacterial protein from the soil metagenome

Overview of attention for article published in Bioengineered, February 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
7 tweeters

Citations

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9 Dimensions

Readers on

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35 Mendeley
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Title
Inhibition of the growth ofBacillus subtilisDSM10 by a newly discovered antibacterial protein from the soil metagenome
Published in
Bioengineered, February 2015
DOI 10.1080/21655979.2015.1018493
Pubmed ID
Authors

Mark M O’Mahony, Ruth Henneberger, Joseph Selvin, Jonathan Kennedy, Fiona Doohan, Julian R Marchesi, Alan D W Dobson

Abstract

A functional metagenomics based approach exploiting the microbiota of suppressive soils from an organic field site has succeeded in the identification of a clone with the ability to inhibit the growth of Bacillus subtilis DSM10. Sequencing of the fosmid identified a putative beta-lactamase-like gene abgT. Transposon mutagenesis of the abgT gene resulted in a loss in ability to inhibit the growth of B. subtilis DSM10. Further analysis of the deduced amino acid sequence of AbgT revealed moderate homology to esterases, suggesting that the protein may possess hydrolytic activity. Weak lipolytic activity was detected; however the clone did not appear to produce any beta-lactamase activity. Phylogenetic analysis revealed the protein is a member of the family VIII group of lipase/esterases and clusters with a number of proteins of metagenomic origin. The abgT gene was sub-cloned into a protein expression vector and when introduced into the abgT transposon mutant clones restored the ability of the clones to inhibit the growth of B. subtilis DSM10, clearly indicating that the abgT gene is involved in the antibacterial activity. While the precise role of this protein has yet to fully elucidated, it may be involved in the generation of free fatty acid with antibacterial properties. Thus functional metagenomic approaches continue to provide a significant resource for the discovery of novel functional proteins and it is clear that hydrolytic enzymes, such as AbgT, may be a potential source for the development of future antimicrobial therapies.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 6%
Denmark 1 3%
Unknown 32 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 26%
Researcher 6 17%
Student > Ph. D. Student 3 9%
Professor 3 9%
Student > Bachelor 3 9%
Other 6 17%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 37%
Biochemistry, Genetics and Molecular Biology 11 31%
Engineering 2 6%
Immunology and Microbiology 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 4 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 October 2015.
All research outputs
#8,276,988
of 15,775,170 outputs
Outputs from Bioengineered
#71
of 228 outputs
Outputs of similar age
#84,676
of 218,386 outputs
Outputs of similar age from Bioengineered
#2
of 8 outputs
Altmetric has tracked 15,775,170 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 228 research outputs from this source. They receive a mean Attention Score of 2.6. 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 218,386 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 60% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.