↓ Skip to main content

In silico exploration of Red Sea Bacillus genomes for natural product biosynthetic gene clusters

Overview of attention for article published in BMC Genomics, May 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
63 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
In silico exploration of Red Sea Bacillus genomes for natural product biosynthetic gene clusters
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4796-5
Pubmed ID
Authors

Ghofran Othoum, Salim Bougouffa, Rozaimi Razali, Ameerah Bokhari, Soha Alamoudi, André Antunes, Xin Gao, Robert Hoehndorf, Stefan T. Arold, Takashi Gojobori, Heribert Hirt, Ivan Mijakovic, Vladimir B. Bajic, Feras F. Lafi, Magbubah Essack

Abstract

The increasing spectrum of multidrug-resistant bacteria is a major global public health concern, necessitating discovery of novel antimicrobial agents. Here, members of the genus Bacillus are investigated as a potentially attractive source of novel antibiotics due to their broad spectrum of antimicrobial activities. We specifically focus on a computational analysis of the distinctive biosynthetic potential of Bacillus paralicheniformis strains isolated from the Red Sea, an ecosystem exposed to adverse, highly saline and hot conditions. We report the complete circular and annotated genomes of two Red Sea strains, B. paralicheniformis Bac48 isolated from mangrove mud and B. paralicheniformis Bac84 isolated from microbial mat collected from Rabigh Harbor Lagoon in Saudi Arabia. Comparing the genomes of B. paralicheniformis Bac48 and B. paralicheniformis Bac84 with nine publicly available complete genomes of B. licheniformis and three genomes of B. paralicheniformis, revealed that all of the B. paralicheniformis strains in this study are more enriched in nonribosomal peptides (NRPs). We further report the first computationally identified trans-acyltransferase (trans-AT) nonribosomal peptide synthetase/polyketide synthase (PKS/ NRPS) cluster in strains of this species. B. paralicheniformis species have more genes associated with biosynthesis of antimicrobial bioactive compounds than other previously characterized species of B. licheniformis, which suggests that these species are better potential sources for novel antibiotics. Moreover, the genome of the Red Sea strain B. paralicheniformis Bac48 is more enriched in modular PKS genes compared to B. licheniformis strains and other B. paralicheniformis strains. This may be linked to adaptations that strains surviving in the Red Sea underwent to survive in the relatively hot and saline ecosystems.

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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Researcher 10 16%
Student > Ph. D. Student 9 14%
Student > Bachelor 4 6%
Student > Doctoral Student 3 5%
Other 7 11%
Unknown 20 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 30%
Agricultural and Biological Sciences 11 17%
Medicine and Dentistry 3 5%
Nursing and Health Professions 2 3%
Environmental Science 2 3%
Other 4 6%
Unknown 22 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 05 October 2018.
All research outputs
#2,499,084
of 23,070,218 outputs
Outputs from BMC Genomics
#801
of 10,702 outputs
Outputs of similar age
#54,656
of 330,076 outputs
Outputs of similar age from BMC Genomics
#32
of 259 outputs
Altmetric has tracked 23,070,218 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,702 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% 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 330,076 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 83% of its contemporaries.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.