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      Phylogenomic investigation of an outbreak of fluoroquinolone-resistant Salmonella enterica subsp. enterica serovar Paratyphi A in Phnom Penh, Cambodia

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          Abstract

          In early 2020, the Medical Biology Laboratory of the Pasteur Institute of Cambodia isolated an unusually high number of fluoroquinolone-resistant Salmonella enterica subspecies enterica serovar Paratyphi A strains during its routine bacteriological surveillance activities in Phnom Penh, Cambodia. A public-health investigation was supported by genome sequencing of these Paratyphi A strains to gain insights into the genetic diversity and population structure of a potential outbreak of fluoroquinolone-resistant paratyphoid fever. Comparative genomic and phylodynamic analyses revealed the 2020 strains were descended from a previously described 2013–2015 outbreak of Paratyphi A infections. Our analysis showed sub-lineage 2.3.1 had remained largely susceptible to fluoroquinolone drugs until 2015, but acquired chromosomal resistance to these drugs during six separate events between late 2012 and 2015. The emergence of fluoroquinolone resistance was rapidly followed by the replacement of the original susceptible Paratyphi A population, which led to a dramatic increase of fluoroquinolone-resistant blood-culture-confirmed cases in subsequent years (2016–2020). The rapid acquisition of resistance-conferring mutations in the Paratyphi A population over a 3 year period is suggestive of a strong selective pressure on that population, likely linked with fluoroquinolone use. In turn, emergence of fluoroquinolone resistance has led to increased use of extended-spectrum cephalosporins like ceftriaxone that are becoming the drug of choice for empirical treatment of paratyphoid fever in Cambodia.

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          Most cited references58

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

            Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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              ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates

              Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection method that greatly improves the accuracy of phylogenetic estimates. The improvement is achieved by incorporating a model of rate-heterogeneity across sites not previously considered in this context, and by allowing concurrent searches of model-space and tree-space.
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                Author and article information

                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                2023
                24 March 2023
                24 March 2023
                : 9
                : 3
                : mgen000972
                Affiliations
                [ 1] departmentBacterial Phylogenomics Group , Pasteur Institute of Cambodia , Phnom Penh, Cambodia
                [ 2] departmentMedical Biology Laboratory , Pasteur Institute of Cambodia , Phnom Penh, Cambodia
                [ 3] departmentLMI Drug Resistance in South East Asia , Pasteur Institute of Cambodia , Phnom Penh, Cambodia
                [ 4] departmentLaboratory of Environment and Food Safety , Pasteur Institute of Cambodia , Phnom Penh, Cambodia
                [ 5] Diagnostic Microbiology Development Program , Phnom Penh, Cambodia
                [ 6] departmentInfectious Disease Department , Sihanouk Hospital Center of HOPE , Phnom Penh, Cambodia
                [ 7] departmentLaboratory Unit , Sihanouk Hospital Center of HOPE , Phnom Penh, Cambodia
                [ 8] departmentDepartment of Clinical Sciences , Institute of Tropical Medicine , Antwerp, Belgium
                [ 9] departmentDepartment of Microbiology , Immunology and Transplantation , KU Leuven, Leuven, Belgium
                [ 10] departmentMicrobiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology , Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne, Victoria, Australia
                [ 11] departmentCentre for Pathogen Genomics, Department of Microbiology and Immunology , Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne, Victoria, Australia
                [ 12] departmentEvolution and Ecology of Antibiotic Resistance Unit , APHP–CNRS–UMR6047, Institut Pasteur–University Paris-Saclay–Université Paris Cité , Paris, France
                Author notes
                *Correspondence: Koen Vandelannoote, kvandelannoote@ 123456pasteur-kh.org
                Author information
                https://orcid.org/0000-0001-8367-4083
                Article
                000972
                10.1099/mgen.0.000972
                10132074
                36961484
                ba56a4cc-e6d5-485c-b7f5-b3a973557070
                © 2023 The Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution License.

                History
                : 16 November 2022
                : 31 January 2023
                Categories
                Research Articles
                Pathogens and Epidemiology
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                antimicrobial resistance,cambodia,phylogenomics, salmonella enterica paratyphi a,whole-genome sequencing

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