Integrated chromosomal and plasmid sequence analyses reveal diverse modes of carbapenemase gene spread among Klebsiella pneumoniae

Molecular and genomic surveillance systems for bacterial pathogens currently rely on tracking clonally evolving lineages. By contrast, plasmids are usually excluded or analyzed with low-resolution techniques, despite being the primary vectors of antibiotic resistance genes across many key pathogens....

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 117; no. 40; pp. 25043 - 25054
Main Authors David, Sophia, Cohen, Victoria, Reuter, Sandra, Sheppar, Anna E., Giani, Tommaso, Parkhill, Julian, Rossolini, Gian Maria, Feil, Edward J., Grundman, Hajo, Aanensen, David M.
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 06.10.2020
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Abstract Molecular and genomic surveillance systems for bacterial pathogens currently rely on tracking clonally evolving lineages. By contrast, plasmids are usually excluded or analyzed with low-resolution techniques, despite being the primary vectors of antibiotic resistance genes across many key pathogens. Here, we used a combination of long- and short-read sequence data of Klebsiella pneumoniae isolates (n = 1,717) from a European survey to perform an integrated, continent-wide study of chromosomal and plasmid diversity. This revealed three contrasting modes of dissemination used by carbapenemase genes, which confer resistance to last-line carbapenems. First, bla OXA-48-like genes have spread primarily via the single epidemic pOXA-48–like plasmid, which emerged recently in clinical settings and spread rapidly to numerous lineages. Second, bla VIM and bla NDM genes have spread via transient associations of many diverse plasmids with numerous lineages. Third, bla KPC genes have transmitted predominantly by stable association with one successful clonal lineage (ST258/512) yet have been mobilized among diverse plasmids within this lineage. We show that these plasmids, which include pKpQIL-like and IncX3 plasmids, have a long association (and are coevolving) with the lineage, although frequent recombination and rearrangement events between them have led to a complex array of mosaic plasmids carrying bla KPC. Taken altogether, these results reveal the diverse trajectories of antibiotic resistance genes in clinical settings, summarized as using one plasmid/multiple lineages, multiple plasmids/multiple lineages, and multiple plasmids/one lineage. Our study provides a framework for the much needed incorporation of plasmid data into genomic surveillance systems, an essential step toward a more comprehensive understanding of resistance spread.
AbstractList In many clinically important bacteria, antibiotic resistance genes are primarily carried on plasmids. These can spread horizontally between different strains and species. However, current surveillance systems track chromosomal lineages of bacteria only, leading to an incomplete understanding of how resistance spreads, from within an individual hospital to across country borders. We present an integrated, high-resolution analysis of both chromosome and plasmid sequences using Klebsiella pneumoniae isolates sampled during a European survey. We show that carbapenemase genes, which confer resistance to last-line antibiotics, have spread in diverse ways including via one plasmid/multiple lineages ( bla OXA-48-like ), multiple plasmids/multiple lineages ( bla VIM , bla NDM ), and multiple plasmids/one lineage ( bla KPC ). These different trajectories must be considered in genomic surveillance systems and the design of new interventions. Molecular and genomic surveillance systems for bacterial pathogens currently rely on tracking clonally evolving lineages. By contrast, plasmids are usually excluded or analyzed with low-resolution techniques, despite being the primary vectors of antibiotic resistance genes across many key pathogens. Here, we used a combination of long- and short-read sequence data of Klebsiella pneumoniae isolates ( n = 1,717) from a European survey to perform an integrated, continent-wide study of chromosomal and plasmid diversity. This revealed three contrasting modes of dissemination used by carbapenemase genes, which confer resistance to last-line carbapenems. First, bla OXA-48-like genes have spread primarily via the single epidemic pOXA-48–like plasmid, which emerged recently in clinical settings and spread rapidly to numerous lineages. Second, bla VIM and bla NDM genes have spread via transient associations of many diverse plasmids with numerous lineages. Third, bla KPC genes have transmitted predominantly by stable association with one successful clonal lineage (ST258/512) yet have been mobilized among diverse plasmids within this lineage. We show that these plasmids, which include pKpQIL-like and IncX3 plasmids, have a long association (and are coevolving) with the lineage, although frequent recombination and rearrangement events between them have led to a complex array of mosaic plasmids carrying bla KPC . Taken altogether, these results reveal the diverse trajectories of antibiotic resistance genes in clinical settings, summarized as using one plasmid/multiple lineages, multiple plasmids/multiple lineages, and multiple plasmids/one lineage. Our study provides a framework for the much needed incorporation of plasmid data into genomic surveillance systems, an essential step toward a more comprehensive understanding of resistance spread.
Molecular and genomic surveillance systems for bacterial pathogens currently rely on tracking clonally evolving lineages. By contrast, plasmids are usually excluded or analyzed with low-resolution techniques, despite being the primary vectors of antibiotic resistance genes across many key pathogens. Here, we used a combination of long- and short-read sequence data of Klebsiella pneumoniae isolates (n = 1,717) from a European survey to perform an integrated, continent-wide study of chromosomal and plasmid diversity. This revealed three contrasting modes of dissemination used by carbapenemase genes, which confer resistance to last-line carbapenems. First, blaOXA-48-like genes have spread primarily via the single epidemic pOXA-48–like plasmid, which emerged recently in clinical settings and spread rapidly to numerous lineages. Second, blaVIM and blaNDM genes have spread via transient associations of many diverse plasmids with numerous lineages. Third, blaKPC genes have transmitted predominantly by stable association with one successful clonal lineage (ST258/512) yet have been mobilized among diverse plasmids within this lineage. We show that these plasmids, which include pKpQIL-like and IncX3 plasmids, have a long association (and are coevolving) with the lineage, although frequent recombination and rearrangement events between them have led to a complex array of mosaic plasmids carrying blaKPC. Taken altogether, these results reveal the diverse trajectories of antibiotic resistance genes in clinical settings, summarized as using one plasmid/multiple lineages, multiple plasmids/multiple lineages, and multiple plasmids/one lineage. Our study provides a framework for the much needed incorporation of plasmid data into genomic surveillance systems, an essential step toward a more comprehensive understanding of resistance spread.
Molecular and genomic surveillance systems for bacterial pathogens currently rely on tracking clonally evolving lineages. By contrast, plasmids are usually excluded or analyzed with low-resolution techniques, despite being the primary vectors of antibiotic resistance genes across many key pathogens. Here, we used a combination of long- and short-read sequence data of isolates ( = 1,717) from a European survey to perform an integrated, continent-wide study of chromosomal and plasmid diversity. This revealed three contrasting modes of dissemination used by carbapenemase genes, which confer resistance to last-line carbapenems. First, genes have spread primarily via the single epidemic pOXA-48-like plasmid, which emerged recently in clinical settings and spread rapidly to numerous lineages. Second, and genes have spread via transient associations of many diverse plasmids with numerous lineages. Third, genes have transmitted predominantly by stable association with one successful clonal lineage (ST258/512) yet have been mobilized among diverse plasmids within this lineage. We show that these plasmids, which include pKpQIL-like and IncX3 plasmids, have a long association (and are coevolving) with the lineage, although frequent recombination and rearrangement events between them have led to a complex array of mosaic plasmids carrying Taken altogether, these results reveal the diverse trajectories of antibiotic resistance genes in clinical settings, summarized as using one plasmid/multiple lineages, multiple plasmids/multiple lineages, and multiple plasmids/one lineage. Our study provides a framework for the much needed incorporation of plasmid data into genomic surveillance systems, an essential step toward a more comprehensive understanding of resistance spread.
Molecular and genomic surveillance systems for bacterial pathogens currently rely on tracking clonally evolving lineages. By contrast, plasmids are usually excluded or analyzed with low-resolution techniques, despite being the primary vectors of antibiotic resistance genes across many key pathogens. Here, we used a combination of long- and short-read sequence data of Klebsiella pneumoniae isolates (n = 1,717) from a European survey to perform an integrated, continent-wide study of chromosomal and plasmid diversity. This revealed three contrasting modes of dissemination used by carbapenemase genes, which confer resistance to last-line carbapenems. First, bla OXA-48-like genes have spread primarily via the single epidemic pOXA-48–like plasmid, which emerged recently in clinical settings and spread rapidly to numerous lineages. Second, bla VIM and bla NDM genes have spread via transient associations of many diverse plasmids with numerous lineages. Third, bla KPC genes have transmitted predominantly by stable association with one successful clonal lineage (ST258/512) yet have been mobilized among diverse plasmids within this lineage. We show that these plasmids, which include pKpQIL-like and IncX3 plasmids, have a long association (and are coevolving) with the lineage, although frequent recombination and rearrangement events between them have led to a complex array of mosaic plasmids carrying bla KPC. Taken altogether, these results reveal the diverse trajectories of antibiotic resistance genes in clinical settings, summarized as using one plasmid/multiple lineages, multiple plasmids/multiple lineages, and multiple plasmids/one lineage. Our study provides a framework for the much needed incorporation of plasmid data into genomic surveillance systems, an essential step toward a more comprehensive understanding of resistance spread.
Author Feil, Edward J.
Giani, Tommaso
Grundman, Hajo
Aanensen, David M.
David, Sophia
Sheppar, Anna E.
Rossolini, Gian Maria
Cohen, Victoria
Parkhill, Julian
Reuter, Sandra
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/32968015$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1128/AAC.01889-16
10.1101/gr.215087.116
10.1093/bioinformatics/btv421
10.1371/journal.pcbi.1005595
10.1093/jac/dkw227
10.1093/jac/dkz366
10.1101/456897
10.1093/bioinformatics/bti553
10.1111/j.1469-0691.2011.03532.x
10.1093/nar/gkw290
10.1186/gb-2004-5-2-r12
10.1093/jac/dkw106
10.1126/science.aao2136
10.1128/AAC.48.1.15-22.2004
10.1128/AAC.02412-14
10.1128/AAC.05289-11
10.1073/pnas.1321364111
10.1016/S0022-2836(05)80360-2
10.1371/journal.pone.0123063
10.1128/AAC.00175-10
10.1093/bioinformatics/btt086
10.1016/S1473-3099(18)30605-4
10.1093/nar/gku1196
10.1093/bioinformatics/btu153
10.1016/S1473-3099(13)70190-7
10.1093/bioinformatics/btl446
10.1128/AAC.00120-14
10.1128/CMR.00116-14
10.1128/AAC.05202-11
10.1038/s41564-019-0492-8
10.1128/AAC.01019-15
10.1128/mBio.00444-16
10.1128/AAC.03900-14
10.1093/bioinformatics/btp324
10.1128/AAC.04292-14
10.1016/S1473-3099(18)30225-1
10.1128/AAC.00464-16
10.1016/S1473-3099(16)30257-2
10.1145/2543629
10.1093/bioinformatics/btp352
10.1093/jac/dkx264
10.1126/science.1182395
10.1128/mBio.00204-11
10.1093/jac/dkx141
10.2807/1560-7917.ES2013.18.31.20549
10.1016/j.tim.2014.09.003
10.1093/jac/dkx513
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Copyright Copyright © 2020 the Author(s). Published by PNAS.
Copyright National Academy of Sciences Oct 6, 2020
Copyright © 2020 the Author(s). Published by PNAS. 2020
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CorporateAuthor European Survey of Carbapenemase-Producing Enterobacteriaceae (EuSCAPE) Working Group
ESCMID Study Group for Epidemiological Markers (ESGEM)
the ESCMID Study Group for Epidemiological Markers (ESGEM)
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Issue 40
Keywords genomics
carbapenemase genes
plasmids
carbapenem resistance
Klebsiella pneumoniae
Language English
License Copyright © 2020 the Author(s). Published by PNAS.
This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
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content type line 23
Author contributions: S.D. and D.M.A. designed research; S.D. and V.C. performed research; E.S.C.-P.E.W.G. and E.S.G.E.M. contributed new reagents/analytic tools; S.D., S.R., A.E.S., T.G., J.P., G.M.R., E.J.F., H.G., and D.M.A. analyzed data; E.S.C.-P.E.W.G. collected the bacterial isolates and epidemiological data; E.S.G.E.M. facilitated the training and capacity building for the collection of bacterial isolates; and S.D., G.M.R., E.J.F., H.G., and D.M.A. wrote the paper.
Edited by Rita R. Colwell, University of Maryland, College Park, MD, and approved August 17, 2020 (received for review February 23, 2020)
3H.G. and D.M.A. contributed equally to this work.
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References e_1_3_4_3_2
e_1_3_4_1_2
e_1_3_4_9_2
Sheppard A. E. (e_1_3_4_19_2) 2018; 4
e_1_3_4_7_2
e_1_3_4_40_2
e_1_3_4_5_2
e_1_3_4_23_2
e_1_3_4_44_2
e_1_3_4_21_2
e_1_3_4_42_2
e_1_3_4_27_2
e_1_3_4_48_2
e_1_3_4_25_2
e_1_3_4_46_2
e_1_3_4_29_2
e_1_3_4_30_2
e_1_3_4_51_2
e_1_3_4_34_2
e_1_3_4_32_2
e_1_3_4_15_2
e_1_3_4_38_2
e_1_3_4_13_2
e_1_3_4_36_2
e_1_3_4_17_2
e_1_3_4_2_2
e_1_3_4_8_2
e_1_3_4_6_2
e_1_3_4_4_2
e_1_3_4_22_2
e_1_3_4_45_2
e_1_3_4_20_2
e_1_3_4_43_2
e_1_3_4_26_2
e_1_3_4_49_2
e_1_3_4_24_2
e_1_3_4_47_2
e_1_3_4_28_2
Hunt M. (e_1_3_4_41_2) 2017; 3
e_1_3_4_50_2
e_1_3_4_12_2
e_1_3_4_33_2
e_1_3_4_10_2
e_1_3_4_31_2
e_1_3_4_16_2
e_1_3_4_37_2
e_1_3_4_14_2
e_1_3_4_35_2
George S. (e_1_3_4_11_2) 2017; 3
e_1_3_4_18_2
e_1_3_4_39_2
References_xml – ident: e_1_3_4_25_2
  doi: 10.1128/AAC.01889-16
– ident: e_1_3_4_17_2
  doi: 10.1101/gr.215087.116
– ident: e_1_3_4_38_2
  doi: 10.1093/bioinformatics/btv421
– ident: e_1_3_4_10_2
  doi: 10.1371/journal.pcbi.1005595
– ident: e_1_3_4_34_2
  doi: 10.1093/jac/dkw227
– volume: 3
  start-page: e000131
  year: 2017
  ident: e_1_3_4_41_2
  article-title: ARIBA: Rapid antimicrobial resistance genotyping directly from sequencing reads
  publication-title: Microb. Genom.
  contributor:
    fullname: Hunt M.
– ident: e_1_3_4_30_2
  doi: 10.1093/jac/dkz366
– ident: e_1_3_4_32_2
  doi: 10.1101/456897
– ident: e_1_3_4_44_2
  doi: 10.1093/bioinformatics/bti553
– ident: e_1_3_4_29_2
  doi: 10.1111/j.1469-0691.2011.03532.x
– ident: e_1_3_4_1_2
– ident: e_1_3_4_51_2
  doi: 10.1093/nar/gkw290
– ident: e_1_3_4_43_2
  doi: 10.1186/gb-2004-5-2-r12
– ident: e_1_3_4_28_2
  doi: 10.1093/jac/dkw106
– ident: e_1_3_4_8_2
  doi: 10.1126/science.aao2136
– ident: e_1_3_4_24_2
  doi: 10.1128/AAC.48.1.15-22.2004
– ident: e_1_3_4_13_2
  doi: 10.1128/AAC.02412-14
– ident: e_1_3_4_14_2
  doi: 10.1128/AAC.05289-11
– ident: e_1_3_4_49_2
  doi: 10.1073/pnas.1321364111
– ident: e_1_3_4_36_2
  doi: 10.1016/S0022-2836(05)80360-2
– ident: e_1_3_4_27_2
  doi: 10.1371/journal.pone.0123063
– ident: e_1_3_4_18_2
  doi: 10.1128/AAC.00175-10
– ident: e_1_3_4_40_2
  doi: 10.1093/bioinformatics/btt086
– ident: e_1_3_4_2_2
  doi: 10.1016/S1473-3099(18)30605-4
– volume: 3
  start-page: e000118
  year: 2017
  ident: e_1_3_4_11_2
  article-title: Resolving plasmid structures in Enterobacteriaceae using the MinION nanopore sequencer: Assessment of MinION and MinION/Illumina hybrid data assembly approaches
  publication-title: Microb. Genom.
  contributor:
    fullname: George S.
– ident: e_1_3_4_50_2
  doi: 10.1093/nar/gku1196
– ident: e_1_3_4_37_2
  doi: 10.1093/bioinformatics/btu153
– ident: e_1_3_4_22_2
  doi: 10.1016/S1473-3099(13)70190-7
– ident: e_1_3_4_48_2
  doi: 10.1093/bioinformatics/btl446
– ident: e_1_3_4_33_2
  doi: 10.1128/AAC.00120-14
– ident: e_1_3_4_23_2
  doi: 10.1128/CMR.00116-14
– ident: e_1_3_4_20_2
  doi: 10.1128/AAC.05202-11
– ident: e_1_3_4_3_2
  doi: 10.1038/s41564-019-0492-8
– ident: e_1_3_4_31_2
  doi: 10.1128/AAC.01019-15
– ident: e_1_3_4_7_2
  doi: 10.1128/mBio.00444-16
– ident: e_1_3_4_16_2
  doi: 10.1128/AAC.03900-14
– ident: e_1_3_4_45_2
  doi: 10.1093/bioinformatics/btp324
– ident: e_1_3_4_15_2
  doi: 10.1128/AAC.04292-14
– ident: e_1_3_4_9_2
  doi: 10.1016/S1473-3099(18)30225-1
– ident: e_1_3_4_6_2
  doi: 10.1128/AAC.00464-16
– ident: e_1_3_4_12_2
  doi: 10.1016/S1473-3099(16)30257-2
– ident: e_1_3_4_39_2
  doi: 10.1145/2543629
– ident: e_1_3_4_47_2
  doi: 10.1093/bioinformatics/btp352
– ident: e_1_3_4_5_2
  doi: 10.1093/jac/dkx264
– ident: e_1_3_4_46_2
  doi: 10.1126/science.1182395
– ident: e_1_3_4_4_2
  doi: 10.1128/mBio.00204-11
– ident: e_1_3_4_35_2
  doi: 10.1093/jac/dkx141
– ident: e_1_3_4_26_2
  doi: 10.2807/1560-7917.ES2013.18.31.20549
– ident: e_1_3_4_21_2
  doi: 10.1016/j.tim.2014.09.003
– volume: 4
  start-page: e000232
  year: 2018
  ident: e_1_3_4_19_2
  article-title: TETyper: A bioinformatic pipeline for classifying variation and genetic contexts of transposable elements from short-read whole-genome sequencing data
  publication-title: Microb. Genom.
  contributor:
    fullname: Sheppard A. E.
– ident: e_1_3_4_42_2
  doi: 10.1093/jac/dkx513
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Snippet Molecular and genomic surveillance systems for bacterial pathogens currently rely on tracking clonally evolving lineages. By contrast, plasmids are usually...
In many clinically important bacteria, antibiotic resistance genes are primarily carried on plasmids. These can spread horizontally between different strains...
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SubjectTerms Anti-Bacterial Agents - therapeutic use
Antibiotic resistance
Antibiotics
Bacterial Proteins - genetics
beta-Lactamases - genetics
Biological Sciences
Carbapenemase
Carbapenems
Carbapenems - therapeutic use
Cell Lineage - genetics
Chromosomes, Bacterial - genetics
Drug resistance
Drug Resistance, Multiple, Bacterial - drug effects
Drug Resistance, Multiple, Bacterial - genetics
Epidemics
Genes
Genome, Bacterial - genetics
Humans
Klebsiella
Klebsiella Infections - drug therapy
Klebsiella Infections - genetics
Klebsiella Infections - microbiology
Klebsiella pneumoniae
Klebsiella pneumoniae - genetics
Klebsiella pneumoniae - pathogenicity
Mathematical analysis
Pathogens
Plasmids
Plasmids - genetics
Recombination
Sequence Analysis, DNA - methods
Surveillance systems
Title Integrated chromosomal and plasmid sequence analyses reveal diverse modes of carbapenemase gene spread among Klebsiella pneumoniae
URI https://www.jstor.org/stable/26969475
https://www.ncbi.nlm.nih.gov/pubmed/32968015
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Volume 117
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