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Population Structure of Clinical Pseudomonas aeruginosa from West and Central African Countries
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BACKGROUND: Pseudomonas aeruginosa (PA) has a non-clonal, epidemic population with a few widely distributed and frequently encountered sequence types (STs) called 'high-risk clusters'. Clinical P. aeruginosa (clinPA) has been studied in all inhabited continents excepted in Africa, where a very few isolates have been analyzed. Here, we characterized a collection of clinPA isolates from four countries of West and Central Africa. METHODOLOGY: 184 non-redundant isolates of clinPA from hospitals of Senegal, Ivory Coast, Nigeria, and Central African Republic were genotyped by MLST. We assessed their resistance level to antibiotics by agar diffusion and identified the extended-spectrum β-lactamases (ESBLs) and metallo-β-lactamases (MBLs) by sequencing. The population structure of the species was determined by a nucleotide-based analysis of the entire PA MLST database and further localized on the phylogenetic tree (i) the sequence types (STs) of the present collection, (ii) the STs by continents, (iii) ESBL- and MBL-producing STs from the MLST database. PRINCIPAL FINDINGS: We found 80 distinct STs, of which 24 had no relationship with any known STs. 'High-risk' international clonal complexes (CC155, CC244, CC235) were frequently found in West and Central Africa. The five VIM-2-producing isolates belonged to CC233 and CC244. GES-1 and GES-9 enzymes were produced by one CC235 and one ST1469 isolate, respectively. We showed the spread of 'high-risk' international clonal complexes, often described as multidrug-resistant on other continents, with a fully susceptible phenotype. The MBL- and ESBL-producing STs were scattered throughout the phylogenetic tree and our data suggest a poor association between a continent and a specific phylogroup. CONCLUSIONS: ESBL- and MBL-encoding genes are borne by both successful international clonal complexes and distinct local STs in clinPA of West and Central Africa. Furthermore, our data suggest that the spread of a ST could be either due to its antibiotic resistance or to features independent from the resistance to antibiotics.
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![Figure 2 Distribution of the STs and CCs of the 184 clinical isolates of Pseudomonas aeruginosa isolated in West and Central Africa on a dendrogram built with the data all known STs (n = 1595). STs without any isolates producing ESBL or MBL were represented with red spots. STs represented by ≥1 isolate producing ESBL or MBL were represented with green spots. STs of reference isolates are represented with blue diamonds. The dendrogram is based on the alignment of the concatenated sequences of the acsA, aroE, guaA, mutL, nuoD, ppsA and trpE genes (forming an artificial 2,882-bp sequence) of the 1595 STs of the P. aeruginosa MLST database in July 2013 [11]. See Material and methods section for details.](/paper-figures/3bd0692d0d754b0d869a3f0165e16d1e/population-structure-of-clinical-pseudomonas-aeruginosa-from-west-and-central-figure-2.jpg)
![Figure 3 Distribution of the STs and CCs of the Pseudomonas aeruginosa containing isolates producing either extended-spectrum β-lactamase or metallo-β-lactamase defined in the following references [5], [28], [45], [46] on a dendrogram built with the data all known STs (n = 1595). ESBL- and MBL-producers were represented with red spots. See Figure 2 legend for the tree construction details. Pink zones surround STs that belong to the same clonal complex.](/paper-figures/0859195cef1d4485925e0e38d4acc81e/population-structure-of-clinical-pseudomonas-aeruginosa-from-west-and-central-figure-3.jpg)
![Figure 4 Distribution of the STs of clinical isolates of Pseudomonas aeruginosa on a dendrogram built with the data all known STs (n = 1595), broken down by their continent of origin. The geographical origin of each ST was extracted from the P. aeruginosa MLST database in July 2013 [11].](/paper-figures/eedd05846d20484391c900525e49ea87/population-structure-of-clinical-pseudomonas-aeruginosa-from-west-and-central-figure-4.jpg)
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“Of concern is its resistance to beta-lactams, 175 especially carbapenems, as they are often used for empiric treatment of last resort.176”
From Antimicrobial Resistance Rates and Surveillance in Sub-Saharan Africa: Where Are We Now? (2022) · cites this paper as [175]
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Cites
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Stamatakis, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl446 · Cited by 15,582
Magiorakos, A.-P., Srinivasan, A., Carey, R. B., Carmeli, Y., Falagas, M. E., Giske, C. G., Harbarth, S., Hindler, J. F., Kahlmeter, G., Olsson-Liljequist, B., et al. (2012) · Clinical Microbiology and Infection · doi:10.1111/j.1469-0691.2011.03570.x · Cited by 14,449
jModelTest: Phylogenetic Model Averaging
Posada, D. (2008) · Molecular Biology and Evolution · doi:10.1093/molbev/msn083 · Cited by 10,578
Tenover, F. C., Arbeit, R. D., Goering, R. V., Mickelsen, P. A., Murray, B. E., Persing, D. H., & Swaminathan, B. (1995) · Journal of Clinical Microbiology · doi:10.1128/jcm.33.9.2233-2239.1995 · Cited by 8,203
BIGSdb: Scalable analysis of bacterial genome variation at the population level
Jolley, K. A., & Maiden, M. C. J. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-595 · Cited by 2,341
Dendroscope 3: An Interactive Tool for Rooted Phylogenetic Trees and Networks
Huson, D. H., & Scornavacca, C. (2012) · Systematic Biology · doi:10.1093/sysbio/sys062 · Cited by 1,674
Pseudomonas aeruginosa: all roads lead to resistance
Breidenstein, E. B. M., de la Fuente‐Núñez, C., & Hancock, R. E. W. (2011) · Trends in Microbiology · doi:10.1016/j.tim.2011.04.005 · Cited by 1,358
Establishment of infection: lessons from a versatile opportunist
Lyczak, J. B., Cannon, C. L., & Pier, G. B. (2000) · Microbes and Infection · doi:10.1016/s1286-4579(00)01259-4 · Cited by 1,343
Pseudomonas Aeruginosa: Resistance to the Max
Poole, K. (2011) · Frontiers in Microbiology · doi:10.3389/fmicb.2011.00065 · Cited by 950
Woodford, N., Turton, J. F., & Livermore, D. M. (2011) · FEMS Microbiology Reviews · doi:10.1111/j.1574-6976.2011.00268.x · Cited by 881
Pseudomonas aeruginosa: resistance and therapeutic options at the turn of the new millennium
Mesaros, N. E., Nordmann, P., Plésiat, P., Roussel‐Delvallez, M., Eldere, J. V., Glupczynski, Y., Laethem, Y. V., Jacobs, F., Lebecque, P., Malfroot, A., et al. (2007) · Clinical Microbiology and Infection · doi:10.1111/j.1469-0691.2007.01681.x · Cited by 585
DNA sequence‐based analysis of the Pseudomonas species
Mulet, M., Lalucat, J., & Garcı́a-Valdés, E. (2010) · Environmental Microbiology · doi:10.1111/j.1462-2920.2010.02181.x · Cited by 571
Emerging carbapenemases: a global perspective
Walsh, T. R. (2010) · International Journal of Antimicrobial Agents · doi:10.1016/s0924-8579(10)70004-2 · Cited by 528
Curran, B., Jonas, D., Grundmann, H., Pitt, T. L., & Dowson, C. G. (2004) · Journal of Clinical Microbiology · doi:10.1128/jcm.42.12.5644-5649.2004 · Cited by 526
Sequence type analysis and recombinational tests (START)
Jolley, K. A., Feil, E. J., Chan, M. S., & Maiden, M. C. J. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.12.1230 · Cited by 512
Wieser, A., Schneider, L., Jung, J., & Schubert, S. (2011) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-011-3783-4 · Cited by 455
The Accessory Genome of Pseudomonas aeruginosa
Kung, V. L., Ozer, E. A., & Hauser, A. R. (2010) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00027-10 · Cited by 340
Population structure of Pseudomonas aeruginosa
Wiehlmann, L., Wagner, G., Cramer, N., Siebert, B., Gudowius, P., Morales, G., Köhler, T., van Delden, C., Weinel, C., Slickers, P., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609213104 · Cited by 338
Pseudomonas aeruginosa Population Structure Revisited
Pirnay, J., Bilocq, F., Pot, B., Cornélis, P., Zizi, M., Eldere, J. V., Deschaght, P., Vaneechoutte, M., Jennes, S., Pitt, T. L., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007740 · Cited by 323
Unusual Features of Pomoviral RNA Movement
Torrance, L., Wright, K. M., Crutzen, F., Cowan, G. H., Lukhovitskaya, N. I., Bragard, C., & Savenkov, E. I. (2011) · Frontiers in Microbiology · doi:10.3389/fmicb.2011.00259 · Cited by 235
Genetic Markers of Widespread Extensively Drug-Resistant Pseudomonas aeruginosa High-Risk Clones
Cabot, G., Ocampo-Sosa, A. A., Domínguez, M. Á., Gago, J. F., Juan, C., Tubau, F., Rodríguez, C., Moyá, B., Peña, C., Martı́nez-Martı́nez, L., et al. (2012) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01388-12 · Cited by 228
Pathogen typing in the genomics era: MLST and the future of molecular epidemiology
Pérez‐Losada, M., Cabezas, P., Castro‐Nallar, E., & Crandall, K. A. (2013) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2013.01.009 · Cited by 207
Edelstein, M. V., Skleenova, E. Y., Shevchenko, O. V., D'souza, J. W., Tapalski, D. V., Azizov, I., Витальевна, С. М., Pavlukov, R. A., Kozlov, R. S., Toleman, M. A., et al. (2013) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(13)70168-3 · Cited by 176
Samuelsen, Ø., Toleman, M. A., Sundsfjord, A., Rydberg, J., Leegaard, T. M., Walder, M., Lia, A., Ranheim, T. E., Rajendra, Y., Hermansen, N. O., et al. (2009) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00824-09 · Cited by 150
Maâtallah, M., Cheriaa, J., Backhrouf, A., Iversen, A., Grundmann, H., Do, T., Lanotte, P., Mastouri, M., Elghmati, M. S., Rojo, F., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025617 · Cited by 143
Kidd, T. J., Ritchie, S. R., Ramsay, K. A., Grimwood, K., Bell, S. C., & Rainey, P. B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044199 · Cited by 131
DeFlaun, M. F., Tanzer, A. S., McAteer, A. L., Marshall, B. M., & Levy, S. B. (1990) · Applied and Environmental Microbiology · doi:10.1128/aem.56.1.112-119.1990 · Cited by 119
Empel, J., Filczak, K., Mrówka, A., Hryniewicz, W., Livermore, D. M., & Gniadkowski, M. (2007) · Journal of Clinical Microbiology · doi:10.1128/jcm.00997-07 · Cited by 112
Cholley, P., Thouverez, M., Hocquet, D., van der Mee-Marquet, N. L., Talon, D. R., & Bertrand, X. (2011) · Journal of Clinical Microbiology · doi:10.1128/jcm.00102-11 · Cited by 111
Self-citationViedma, E., Juan, C., Acosta, J., Zamorano, L., Otero, J. R., Sanz, F., Cháves, F., & Oliver, A. (2009) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00900-09 · Cited by 110
García-Castillo, M., del Campo, R., Morosini, M. I., Riera, E., Cabot, G., Willems, R. J. L., van Mansfeld, R., Oliver, A., & Cantón, R. (2011) · Journal of Clinical Microbiology · doi:10.1128/jcm.00753-11 · Cited by 90
Fournier, D., Richardot, C., Müller, E., Robert-Nicoud, M., Llanes, C., Plésiat, P., & Jeannot, K. (2013) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkt098 · Cited by 89
Genetic and Phenotypic Variations of a ResistantPseudomonas aeruginosaEpidemic Clone
Hocquet, D., Bertrand, X., Köhler, T., Talon, D. R., & Plésiat, P. (2003) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.47.6.1887-1894.2003 · Cited by 85
Self-citationLópez-Causapé, C., Rojo‐Molinero, E., Mulet, X., Cabot, G., Moyá, B., Figuerola, J., Togores, B., Pérez, J. L., & Oliver, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071001 · Cited by 81
Talon, D. R., Cailleaux, V., Thouverez, M., & Michel-Briand, Y. (1996) · Journal of Hospital Infection · doi:10.1016/s0195-6701(96)90055-9 · Cited by 78
Self-citationPoirel, L., Briñas, L., Fortineau, N., & Nordmann, P. (2005) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.49.8.3593-3597.2005 · Cited by 66
van Mansfeld, R., Willems, R. J. L., Brimicombe, R. W., Heijerman, H. G. M., van Berkhout, F. T., Wolfs, T. F. W., van der Ent, C. K., & Bonten, M. J. M. (2009) · Journal of Clinical Microbiology · doi:10.1128/jcm.01462-09 · Cited by 64
Hocquet, D., Plésiat, P., Dehecq, B., Mariotte, P., Talon, D. R., & Bertrand, X. (2010) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01646-09 · Cited by 61
Self-citationVatcheva-Dobrevska, R., Mulet, X., Ivanov, I. N., Zamorano, L., Dobreva, E. G., Velinov, T., Kantardjiev, T., & Oliver, A. (2013) · Microbial Drug Resistance · doi:10.1089/mdr.2013.0004 · Cited by 56
Libisch, B., Balogh, B., & Füzi, M. (2008) · Current Microbiology · doi:10.1007/s00284-008-9285-7 · Cited by 41
Fernández-Olmos, A., García-Castillo, M., Alba, J. M., Morosini, M. I., Lamas, A., Romero, B., Galán, J. C., del Campo, R., & Cantón, R. (2013) · Journal of Clinical Microbiology · doi:10.1128/jcm.00802-13 · Cited by 38
Pournaras, S., Kock, R. A., Mossialos, D., Mellmann, A., Sakellaris, V., Stathopoulos, C., Friedrich, A. W., & Tsakris, A. (2013) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkt004 · Cited by 27
García-Castillo, M., Máiz, L., Morosini, M.-I., Rodríguez-Baños, M., Suárez, L., Fernández-Olmos, A., Baquero, F., Cantón, R., & del Campo, R. (2012) · Journal of Clinical Microbiology · doi:10.1128/jcm.05478-11 · Cited by 27
Santella, G., Pollini, S., Docquier, J., Mereuţă, A. I., Gutkind, G., Rossolini, G. M., & Radice, M. A. (2010) · Journal of Clinical Microbiology · doi:10.1128/jcm.00614-10 · Cited by 26
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Jeannot, K., Guessennd, N., Fournier, P., Muller, E., Gbonon, V., & Plésiat, P. (2013) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkt296 · Cited by 24
Self-citationHocquet, D., Dehecq, B., Bertrand, X., & Plésiat, P. (2011) · Journal of Clinical Microbiology · doi:10.1128/jcm.02585-10 · Cited by 18
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Metadata
- Authors
- Cholley, P., Ka, R., Guyeux, C., Thouverez, M., Guessennd, N., Ghebremedhin, B., Frank, T., Bertrand, X., & Hocquet, D.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Centre Hospitalier National Universitaire de Fann (SN)
- Institut Pasteur de Côte d'Ivoire (CI)
- Otto-von-Guericke-Universität Magdeburg (DE)
- Institut Pasteur de Bangui (CF)
- Corresponding author
- Hocquet, Didier
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-09-04
- Volume
- 9
- Issue
- 9
- Pages
- e107008
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4154784
- OpenAlex
- W2009368899
- Cited by
- 31
- References
- 46
- Citations by year
- 2025: 3 · 2024: 2 · 2023: 2 · 2022: 2 · 2021: 5 · 2020: 1 · 2019: 4 · 2018: 3 · 2017: 1 · 2016: 2 · 2015: 6
- FWCI
- 1.37
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Wellcome Trust
- University of Oxford
- Topics
- Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bacterial biofilms and quorum sensing
- Health Sciences › Medicine › Microbiology (medical) › Infections and bacterial resistance
- Keywords
- Pseudomonas aeruginosa, population structure, sequence types, extended-spectrum beta-lactamase, metallo-beta-lactamase, VIM-2, GES-1, multidrug resistance, phylogenetic analysis, West Africa, Central Africa, antimicrobial resistance dissemination
- MeSH terms
- Anti-Bacterial Agents, beta-Lactamases, Central African Republic, Genotype, Humans, Cote d'Ivoire, Nigeria, Phylogeny, Pseudomonas aeruginosa, Pseudomonas Infections, Senegal, Molecular Epidemiology, beta-Lactam Resistance, Multilocus Sequence Typing
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