ArticleGenome biology2019
Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center.
Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 31 citations in OpenAlex.
- A metabolic atlas of the Klebsiella pneumoniae species complex reveals lineage-specific metabolism and capacity for intra-species co-operation.PLoS biology · 2025Article
- Clonal background and routes of plasmid transmission underlie antimicrobial resistance features of bloodstream Klebsiella pneumoniae.Nature communications · 2024Article
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- Pangenomic and biochemical analyses ofFrontiers in microbiology · 2024Article
- Enhancing capacity for national genomics surveillance of antimicrobial resistance in public health laboratories in Kenya.Microbial genomics · 2023Article
- Genomic and antigenic diversity of colonizingMicrobial genomics · 2022Article
- Molecular epidemiology and antimicrobial resistance phenotype of paediatric bloodstream infections caused by Gram-negative bacteria.Communications medicine · 2022Article
- Emergence of Neonatal Sepsis Caused by MCR-9- and NDM-1-Co-ProducingFrontiers in cellular and infection microbiology · 2022Article
- Ten Years of Population-Level Genomic Escherichia coli and Klebsiella pneumoniae Serotype Surveillance Informs Vaccine Development for Invasive Infections.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Ten-year longitudinal molecular epidemiology study of Escherichia coli and Klebsiella species bloodstream infections in Oxfordshire, UK.Genome medicine · 2021Article
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- Long-run bacteria-phage coexistence dynamics under natural habitat conditions in an environmental biotechnology system.The ISME journal · 2021Article
- One is not enough: On the effects of reference genome for the mapping and subsequent analyses of short-reads.PLoS computational biology · 2021Article
- Population genomics of Klebsiella pneumoniae.Nature reviews. Microbiology · 2020Review
- Article
- Article
- Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center.Genome biology · 2019Article
Corrections and comments
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Authors and funding
16 authors at 7 institutions in 3 countries.
Funding
Abstract
backgroundTwo of the most important pathogens contributing to the global rise in antimicrobial resistance (AMR) are Klebsiella pneumoniae and Enterobacter cloacae. Despite this, most of our knowledge about the changing patterns of disease caused by these two pathogens is based on studies with limited timeframes that provide few insights into their population dynamics or the dynamics in AMR elements that they can carry.
resultsWe investigate the population dynamics of two priority AMR pathogens over 7 years between 2007 and 2012 in a major UK hospital, spanning changes made to UK national antimicrobial prescribing policy in 2007. Between 2006 and 2012, K. pneumoniae showed epidemiological cycles of multi-drug-resistant (MDR) lineages being replaced approximately every 2 years. This contrasted E. cloacae where there was no temporally changing pattern, but a continuous presence of the mixed population.
conclusionsThe differing patterns of clonal replacement and acquisition of mobile elements shows that the flux in the K. pneumoniae population was linked to the introduction of globally recognized MDR clones carrying drug resistance markers on mobile elements. However, E. cloacae carries a chromosomally encoded ampC conferring resistance to front-line treatments and shows that MDR plasmid acquisition in E. cloacae was not indicative of success in the hospital. This led to markedly different dynamics in the AMR populations of these two pathogens and shows that the mechanism of the resistance and its location in the genome or mobile elements is crucial to predict population dynamics of opportunistic pathogens in clinical settings.
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