ArticleFrontiers in microbiology2016
Identification of Novel Genomic Islands in Liverpool Epidemic Strain of Pseudomonas aeruginosa Using Segmentation and Clustering.
Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Genomic islands inNAR genomics and bioinformatics · 2025Article
- Unraveling the role of mobile genetic elements in antibiotic resistance transmission and defense strategies in bacteria.Frontiers in systems biology · 2025Review
- POSMM: an efficient alignment-free metagenomic profiler that complements alignment-based profiling.Environmental microbiome · 2023Article
- Leveraging comparative genomics to uncover alien genes in bacterial genomes.Microbial genomics · 2023Article
- Article
- Evolutionary responses to codon usage of horizontally transferred genes inMicrobial genomics · 2021Article
- Pan-Resistome Insights into the Multidrug Resistance ofAntibiotics (Basel, Switzerland) · 2021Article
- Pseudomonas aeruginosa PA80 is a cystic fibrosis isolate deficient in RhlRI quorum sensing.Scientific reports · 2021Article
- Estimation of pathogenic potential of an environmental Pseudomonas aeruginosa isolate using comparative genomics.Scientific reports · 2021Article
- IslandCafe: Compositional Anomaly and Feature Enrichment Assessment for Delineation of Genomic Islands.G3 (Bethesda, Md.) · 2019Article
- Comparative Genomic Analyses Reveal Core-Genome-Wide Genes Under Positive Selection and Major Regulatory Hubs in Outlier Strains ofFrontiers in microbiology · 2019Article
- Epidemiology, Biology, and Impact of Clonal Pseudomonas aeruginosa Infections in Cystic Fibrosis.Clinical microbiology reviews · 2018Review
- Persistence and Microevolution ofFrontiers in microbiology · 2018Article
- Comparative Analysis of Genomic Island Prediction Tools.Frontiers in genetics · 2018Article
- Deciphering pathogenicity and antibiotic resistance islands in methicillin-resistantOpen biology · 2017Article
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3 authors.
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Abstract
Pseudomonas aeruginosa is an opportunistic pathogen implicated in a myriad of infections and a leading pathogen responsible for mortality in patients with cystic fibrosis (CF). Horizontal transfers of genes among the microorganisms living within CF patients have led to highly virulent and multi-drug resistant strains such as the Liverpool epidemic strain of P. aeruginosa, namely the LESB58 strain that has the propensity to acquire virulence and antibiotic resistance genes. Often these genes are acquired in large clusters, referred to as "genomic islands (GIs)." To decipher GIs and understand their contributions to the evolution of virulence and antibiotic resistance in P. aeruginosa LESB58, we utilized a recursive segmentation and clustering procedure, presented here as a genome-mining tool, "GEMINI." GEMINI was validated on experimentally verified islands in the LESB58 strain before examining its potential to decipher novel islands. Of the 6062 genes in P. aeruginosa LESB58, 596 genes were identified to be resident on 20 GIs of which 12 have not been previously reported. Comparative genomics provided evidence in support of our novel predictions. Furthermore, GEMINI unraveled the mosaic structure of islands that are composed of segments of likely different evolutionary origins, and demonstrated its ability to identify potential strain biomarkers. These newly found islands likely have contributed to the hyper-virulence and multidrug resistance of the Liverpool epidemic strain of P. aeruginosa.
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