↓ Skip to main content

Pangenome-wide and molecular evolution analyses of the Pseudomonas aeruginosa species

Overview of attention for article published in BMC Genomics, January 2016
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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
14 tweeters
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
192 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
Pangenome-wide and molecular evolution analyses of the Pseudomonas aeruginosa species
Published in
BMC Genomics, January 2016
DOI 10.1186/s12864-016-2364-4
Pubmed ID
Authors

Jeanneth Mosquera-Rendón, Ana M. Rada-Bravo, Sonia Cárdenas-Brito, Mauricio Corredor, Eliana Restrepo-Pineda, Alfonso Benítez-Páez

Abstract

Drug treatments and vaccine designs against the opportunistic human pathogen Pseudomonas aeruginosa have multiple issues, all associated with the diverse genetic traits present in this pathogen, ranging from multi-drug resistant genes to the molecular machinery for the biosynthesis of biofilms. Several candidate vaccines against P. aeruginosa have been developed, which target the outer membrane proteins; however, major issues arise when attempting to establish complete protection against this pathogen due to its presumably genotypic variation at the strain level. To shed light on this concern, we proposed this study to assess the P. aeruginosa pangenome and its molecular evolution across multiple strains. The P. aeruginosa pangenome was estimated to contain more than 16,000 non-redundant genes, and approximately 15 % of these constituted the core genome. Functional analyses of the accessory genome indicated a wide presence of genetic elements directly associated with pathogenicity. An in-depth molecular evolution analysis revealed the full landscape of selection forces acting on the P. aeruginosa pangenome, in which purifying selection drives evolution in the genome of this human pathogen. We also detected distinctive positive selection in a wide variety of outer membrane proteins, with the data supporting the concept of substantial genetic variation in proteins probably recognized as antigens. Approaching the evolutionary information of genes under extremely positive selection, we designed a new Multi-Locus Sequencing Typing assay for an informative, rapid, and cost-effective genotyping of P. aeruginosa clinical isolates. We report the unprecedented pangenome characterization of P. aeruginosa on a large scale, which included almost 200 bacterial genomes from one single species and a molecular evolutionary analysis at the pangenome scale. Evolutionary information presented here provides a clear explanation of the issues associated with the use of protein conjugates from pili, flagella, or secretion systems as antigens for vaccine design, which exhibit high genetic variation in terms of non-synonymous substitutions in P. aeruginosa strains.

Twitter Demographics

The data shown below were collected from the profiles of 14 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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Sweden 1 <1%
Brazil 1 <1%
Unknown 188 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 20%
Student > Master 35 18%
Student > Bachelor 24 13%
Researcher 19 10%
Student > Doctoral Student 13 7%
Other 23 12%
Unknown 39 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 34%
Biochemistry, Genetics and Molecular Biology 44 23%
Immunology and Microbiology 20 10%
Environmental Science 6 3%
Computer Science 6 3%
Other 11 6%
Unknown 40 21%

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 14 September 2022.
All research outputs
#2,997,304
of 22,070,821 outputs
Outputs from BMC Genomics
#1,151
of 10,478 outputs
Outputs of similar age
#60,361
of 407,719 outputs
Outputs of similar age from BMC Genomics
#120
of 1,162 outputs
Altmetric has tracked 22,070,821 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,478 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 88% 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 407,719 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 84% of its contemporaries.
We're also able to compare this research output to 1,162 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.