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Identification and classification of known and putative antimicrobial compounds produced by a wide variety of Bacillales species

Overview of attention for article published in BMC Genomics, November 2016
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3 tweeters

Citations

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32 Dimensions

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111 Mendeley
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Title
Identification and classification of known and putative antimicrobial compounds produced by a wide variety of Bacillales species
Published in
BMC Genomics, November 2016
DOI 10.1186/s12864-016-3224-y
Pubmed ID
Authors

Xin Zhao, Oscar P. Kuipers

Abstract

Gram-positive bacteria of the Bacillales are important producers of antimicrobial compounds that might be utilized for medical, food or agricultural applications. Thanks to the wide availability of whole genome sequence data and the development of specific genome mining tools, novel antimicrobial compounds, either ribosomally- or non-ribosomally produced, of various Bacillales species can be predicted and classified. Here, we provide a classification scheme of known and putative antimicrobial compounds in the specific context of Bacillales species. We identify and describe known and putative bacteriocins, non-ribosomally synthesized peptides (NRPs), polyketides (PKs) and other antimicrobials from 328 whole-genome sequenced strains of 57 species of Bacillales by using web based genome-mining prediction tools. We provide a classification scheme for these bacteriocins, update the findings of NRPs and PKs and investigate their characteristics and suitability for biocontrol by describing per class their genetic organization and structure. Moreover, we highlight the potential of several known and novel antimicrobials from various species of Bacillales. Our extended classification of antimicrobial compounds demonstrates that Bacillales provide a rich source of novel antimicrobials that can now readily be tapped experimentally, since many new gene clusters are identified.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 110 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 22%
Student > Master 19 17%
Researcher 12 11%
Other 10 9%
Student > Bachelor 7 6%
Other 25 23%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 33%
Biochemistry, Genetics and Molecular Biology 30 27%
Chemistry 6 5%
Immunology and Microbiology 6 5%
Environmental Science 4 4%
Other 7 6%
Unknown 21 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 August 2017.
All research outputs
#8,931,914
of 11,623,235 outputs
Outputs from BMC Genomics
#5,045
of 6,949 outputs
Outputs of similar age
#163,266
of 250,273 outputs
Outputs of similar age from BMC Genomics
#122
of 219 outputs
Altmetric has tracked 11,623,235 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,949 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 250,273 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 219 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.