↓ Skip to main content

Comparative genomics and biological characterization of sequential Pseudomonas aeruginosa isolates from persistent airways infection

Overview of attention for article published in BMC Genomics, December 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
93 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
Comparative genomics and biological characterization of sequential Pseudomonas aeruginosa isolates from persistent airways infection
Published in
BMC Genomics, December 2015
DOI 10.1186/s12864-015-2276-8
Pubmed ID
Authors

Irene Bianconi, Julie Jeukens, Luca Freschi, Beatriz Alcalá-Franco, Marcella Facchini, Brian Boyle, Antonio Molinaro, Irena Kukavica-Ibrulj, Burkhard Tümmler, Roger C. Levesque, Alessandra Bragonzi

Abstract

Pseudomonas aeruginosa establishes life-long chronic airway infections in cystic fibrosis (CF) patients. As the disease progresses, P. aeruginosa pathoadaptive variants are distinguished from the initially acquired strain. However, the genetic basis and the biology of host-bacteria interactions leading to a persistent lifestyle of P. aeruginosa are not understood. As a model system to study long term and persistent CF infections, the P. aeruginosa RP73, isolated 16.9 years after the onset of airways colonization from a CF patient, was investigated. Comparisons with strains RP1, isolated at the onset of the colonization, and clonal RP45, isolated 7 years before RP73 were carried out to better characterize genomic evolution of P. aeruginosa in the context of CF pathogenicity. Virulence assessments in disease animal model, genome sequencing and comparative genomics analysis were performed for clinical RP73, RP45, RP1 and prototype strains. In murine model, RP73 showed lower lethality and a remarkable capability of long-term persistence in chronic airways infection when compared to other strains. Pathological analysis of murine lungs confirmed advanced chronic pulmonary disease, inflammation and mucus secretory cells hyperplasia. Genomic analysis predicted twelve genomic islands in the RP73 genome, some of which distinguished RP73 from other prototype strains and corresponded to regions of genome plasticity. Further, comparative genomic analyses with sequential RP isolates showed signatures of pathoadaptive mutations in virulence factors potentially linked to the development of chronic infections in CF. The genome plasticity of P. aeruginosa particularly in the RP73 strain strongly indicated that these alterations may form the genetic basis defining host-bacteria interactions leading to a persistent lifestyle in human lungs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Canada 1 1%
Unknown 91 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 20%
Student > Master 11 12%
Student > Bachelor 10 11%
Researcher 7 8%
Student > Doctoral Student 6 6%
Other 20 22%
Unknown 20 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 27%
Immunology and Microbiology 18 19%
Biochemistry, Genetics and Molecular Biology 15 16%
Medicine and Dentistry 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 8 9%
Unknown 22 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 January 2016.
All research outputs
#13,452,391
of 22,836,570 outputs
Outputs from BMC Genomics
#5,002
of 10,655 outputs
Outputs of similar age
#189,173
of 392,772 outputs
Outputs of similar age from BMC Genomics
#143
of 305 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 392,772 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 50% of its contemporaries.
We're also able to compare this research output to 305 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.