For the first time, researchers have discovered how antibiotic resistance genes are spreading, at a continental scale, via bacterial plasmids in the hospital superbug, Klebsiella pneumoniae.
Researchers from the Centre for Genomic Pathogen Surveillance, based jointly at the Wellcome Sanger Institute and the Big Data Institute, University of Oxford, together with their collaborators used genome sequencing technology to analyse plasmids - genetic structures in bacteria that can carry antibiotic resistance genes - as well as bacterial chromosomes from K. pneumoniae samples taken from European hospital patients.
The findings, published today (24th September) in Proceedings of the National Academy of Sciences, reveal three different pathways by which antibiotic resistance genes spread via plasmids through bacterial populations. Researchers say it is critical that plasmids are included when tracking antibiotic resistance in order to have the best chance of stopping superbugs.
Members of the Enterobacteriaceae family of bacteria can become resistant to last-line antibiotics called carbapenems, and are listed as a critical threat in the World Health Organisation's list of priority pathogens*. Within this family, Klebsiella pneumoniae is an opportunistic pathogen that causes serious diseases, including pneumonia and meningitis.
K. pneumoniae becomes resistant to carbapenems by acquiring antibiotic resistance genes, known as carbapenemase genes, which code for an enzyme that 'chews up' the antibiotic.
In K. pneumoniae, these carbapenemase genes are usually found on plasmids - smaller circular pieces of DNA that are additional to the bacterial chromosome. Plasmids can 'jump' between different strains and species of bacteria, meaning antibiotic resistance genes can quickly spread and drive the rapid rise in antibiotic resistant bacterial infections worldwide.
Therefore, researchers must include plasmids when tracking the evolution and spread of bacteria to get a true picture of how antibiotic resistance genes are spreading. However it has previously been difficult to use genome sequencing to reliably track plasmid evolution, due to the variability in size and structure of their genetic sequences.
Now with long-read sequencing technology** researchers are able to read and reconstruct complete sequences for plasmids.
In a new study, researchers from the Centre for Genomic Pathogen Surveillance and their collaborators conducted long-read genome sequencing on 79 K. pneumoniae samples from patients, taken from a Europe-wide survey.
The team generated complete plasmid sequences from these samples, and studied them along with more than 1700 previously short-read sequenced K. pneumoniae samples from the same survey to understand how antibiotic resistance genes are spreading through the bacterial population in European hospitals.
Dr Sophia David, first author from the Centre for Genomic Pathogen Surveillance said: "To fully understand how antibiotic resistance is spreading, we need to consider the role of plasmids. In this study, which is the first to analyse the genetic sequences of plasmids at a continental scale, we discovered three primary routes by which antibiotic resistance genes are spreading via plasmids through the K. pneumoniae population."
The three pathways of transmission involve one plasmid jumping between multiple strains, multiple plasmids spreading among multiple strains, and multiple plasmids spreading within one strain of K. pneumoniae.
Professor Hajo Grundmann, co-lead author from the University of Freiburg in Germany, said: "These new insights into the three routes of spread of antibiotic resistance genes in K. pneumoniae are critical for controlling outbreaks of antibiotic resistant infections. Knowing these transmission strategies enables tailoring of interventions, either to control the dominant plasmid, control the dominant strain, or in complicated situations, control both. For example, if there was a hospital outbreak and the strain carried a high-risk plasmid, there's a chance this plasmid might jump into other bacterial strains or species, which would need to be monitored."
The team also found that plasmids encoding carbapenemase genes were most successful in spreading when acquired by a high-risk strain. This reinforces the importance of preventing transmission of high-risk strains through early detection and rigorous infection control in healthcare environments.
Professor David Aanensen, co-lead author and Director of the Centre for Genomic Pathogen Surveillance said: "When tracking certain antibiotic resistant bacteria, plasmids are one of the missing parts of the puzzle. Analysing the genetic sequences of both bacterial chromosomes and plasmids can give us a more detailed picture of how antibiotic resistance genes and mechanisms spread in a population. Genomic surveillance of bacteria should include plasmids and other mobile elements in order to tackle the rise in antibiotic resistant infections."
Notes to Editors:
* World Health Organisation's list of priority pathogens: https:/
** Long-read sequencing technology sequences longer sections of the genome than short-read sequencing technology, and can sequence parts of the genome that cannot easily be sequenced by short-read sequencing. Longer reads are more likely to look distinct compared to shorter reads, allowing them to be assembled together with less ambiguity.
Sophia David et al. (2020) Integrated chromosomal and plasmid sequence analyses reveal diverse modes of carbapenemase gene spread among Klebsiella pneumonia. Proceedings of the National Academy of Sciences of the United States of America. DOI: 10.1073/pnas.2003407117
This work was funded by Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Wellcome Grants 098051 and 099202 and National Institute for Health Research (NIHR) Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance Grant NIHR 16/136/111. The EuSCAPE project was funded by the European Centre for Disease Prevention and Control (ECDC).
Centre for Genomic Pathogen Surveillance (CGPS)
The Centre for Genomic Pathogen Surveillance is an initiative focussed on genomic epidemiology, laboratory and software engineering for global surveillance of microbial pathogens. The Centre seeks to provide genomic and epidemiological big data and tools to allow researchers, doctors and governments worldwide to track and analyse the spread of pathogens and antimicrobial resistance through strategic partnerships. The Centre also houses the NIHR Global Health Research Unit of Genomic Surveillance of AMR. http://pathogensurveillance.
About the Big Data Institute
The Big Data Institute is located in the Li Ka Shing Centre for Health Informatics and Discovery at the University of Oxford. It is an interdisciplinary research centre that focuses on the analysis of large, complex data sets for research into the causes, consequences, prevention and treatment of disease. Research is conducted in areas such as genomics, population health, infectious disease surveillance and the development of new analytic methods. The Big Data Institute is supported by funding from the Medical Research Council, the Engineering, Physical Sciences Research Council, the UK Research Partnership Investment Fund, the National Institute for Health Research Oxford Biomedical Research Centre, Wellcome and philanthropic donations from the Li Ka Shing and Robertson Foundations. Further details are available at http://www.
Institute for Infection Prevention and Hospital Epidemiology, University of Freiburg Medical Centre
The Institute for Infection Prevention and Hospital Epidemiology of the University of Freiburg Medical Centre is one of Europe's leading centres devoted to large scale surveys on the epidemiology of antibiotic-resistant bacteria. It develops crucial tools for the analysis, prediction and containment of continental spread of hospital infections across Europe. Find out more at https:/
The Wellcome Sanger Institute
The Wellcome Sanger Institute is a world leading genomics research centre. We undertake large-scale research that forms the foundations of knowledge in biology and medicine. We are open and collaborative; our data, results, tools and technologies are shared across the globe to advance science. Our ambition is vast - we take on projects that are not possible anywhere else. We use the power of genome sequencing to understand and harness the information in DNA. Funded by Wellcome, we have the freedom and support to push the boundaries of genomics. Our findings are used to improve health and to understand life on Earth. Find out more at http://www.
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