The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The Pseudomonas aeruginosa Pan-Genome Provides New Insights on Its Population Structure, Horizontal Gene Transfer, and Pathogenicity
Open accessAbstract
The huge increase in the availability of bacterial genomes led us to a point in which we can investigate and query pan-genomes, for example, the full set of genes of a given bacterial species or clade. Here, we used a data set of 1,311 high-quality genomes from the human pathogen Pseudomonas aeruginosa, 619 of which were newly sequenced, to show that a pan-genomic approach can greatly refine the population structure of bacterial species, provide new insights to define species boundaries, and generate hypotheses on the evolution of pathogenicity. The 665-gene P. aeruginosa core genome presented here, which constitutes only 1% of the entire pan-genome, is the first to be in the same order of magnitude as the minimal bacterial genome and represents a conservative estimate of the actual core genome. Moreover, the phylogeny based on this core genome provides strong evidence for a five-group population structure that includes two previously undescribed groups of isolates. Comparative genomics focusing on antimicrobial resistance and virulence genes showed that variation among isolates was partly linked to this population structure. Finally, we hypothesized that horizontal gene transfer had an important role in this respect, and found a total of 3,010 putative complete and fragmented plasmids, 5% and 12% of which contained resistance or virulence genes, respectively. This work provides data and strategies to study the evolutionary trajectories of resistance and virulence in P. aeruginosa.
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Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Price, M. N., Dehal, P. S., & Arkin, A. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009490 · Cited by 14,894
O'Sullivan, B. P., & Freedman, S. D. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60327-5 · Cited by 1,320
Essential genome of Pseudomonas aeruginosa in cystic fibrosis sputum
Turner, K. H., Wessel, A. K., Palmer, G. C., Murray, J. L., & Whiteley, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419677112 · Cited by 432
Bosi, E., Monk, J. M., Aziz, R. K., Fondi, M., Nizet, V., & Palsson, B. Ø. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1523199113 · Cited by 266
Cited by
Diggle, S. P., & Whiteley, M. (2020) · Microbiology · doi:10.1099/mic.0.000860 · Cited by 459
Pseudomonas aeruginosa and microbial keratitis
Hilliam, Y., Kaye, S., & Winstanley, C. (2020) · Journal of Medical Microbiology · doi:10.1099/jmm.0.001110 · Cited by 152
Evidence for Selection in the Abundant Accessory Gene Content of a Prokaryote Pangenome
Whelan, F. J., Hall, R. J., & McInerney, J. O. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab139 · Cited by 46
Chasapi, A., Michailidis, A., Schriml, L. M., Donati, C., Kyrpides, N. C., & Ouzounis, C. A. (2026) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00403-25
Metadata
- Authors
- Freschi, L., Vincent, A. T., Jeukens, J., Emond-Rheault, J.-G., Kukavica-Ibrulj, I., Dupont, M.-J., Charette, S. J., Boyle, B., & Levesque, R. C.
- Venue
- Genome Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-11-29
- Volume
- 11
- Issue
- 1
- Pages
- 109-120
- ISSN
- 1759-6653 (ISSN-L)
- OpenAlex
- W2903087897
- Cited by
- 286
- References
- 5
- FWCI
- 7.85
- Type
- journal article
- Language
- en
- Open access
- gold
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- Freschi, L., Vincent, A. T., Jeukens, J., Emond-Rheault, J.-G., Kukavica-Ibrulj, I., Dupont, M.-J., Charette, S. J., Boyle, B., & Levesque, R. C. (2019). The Pseudomonas aeruginosa Pan-Genome Provides New Insights on Its Population Structure, Horizontal Gene Transfer, and Pathogenicity. Genome Biology and Evolution. https://doi.org/10.1093/gbe/evy259
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