ArticleFrontiers in microbiology2015
Clinical utilization of genomics data produced by the international Pseudomonas aeruginosa consortium.
Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
93 citing papers in PubMed, 159 citations in OpenAlex.
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- PDP-Miner: an AI/ML tool to detect prophage tail proteins with depolymerase domains across thousands of bacterial genomes.Bioinformatics (Oxford, England) · 2025Article
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- Whole Genome Analysis of Ocular Pseudomonas aeruginosa Isolates Reveals Genetic Diversity.Investigative ophthalmology & visual science · 2025Article
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- The diadenosine tetraphosphate hydrolase ApaH contributes to Pseudomonas aeruginosa pathogenicity.PLoS pathogens · 2024Article
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- Complete genome sequence ofMicrobiology resource announcements · 2023Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
58 authors at 20 institutions in 9 countries.
Funding
Abstract
The International Pseudomonas aeruginosa Consortium is sequencing over 1000 genomes and building an analysis pipeline for the study of Pseudomonas genome evolution, antibiotic resistance and virulence genes. Metadata, including genomic and phenotypic data for each isolate of the collection, are available through the International Pseudomonas Consortium Database (http://ipcd.ibis.ulaval.ca/). Here, we present our strategy and the results that emerged from the analysis of the first 389 genomes. With as yet unmatched resolution, our results confirm that P. aeruginosa strains can be divided into three major groups that are further divided into subgroups, some not previously reported in the literature. We also provide the first snapshot of P. aeruginosa strain diversity with respect to antibiotic resistance. Our approach will allow us to draw potential links between environmental strains and those implicated in human and animal infections, understand how patients become infected and how the infection evolves over time as well as identify prognostic markers for better evidence-based decisions on patient care.
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Registered trials
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