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Abstract

Plasmids are the primary vector for horizontal transfer of antimicrobial resistance (AMR) within bacterial populations. We applied the MOB-suite, a toolset for reconstructing and typing plasmids, to 150 767 publicly available whole-genome sequencing samples covering 1204 distinct serovars to produce a large-scale population survey of plasmids based on the MOB-suite plasmid nomenclature. Reconstruction yielded 183 017 plasmids representing 1044 primary MOB-clusters and 830 potentially novel MOB-clusters. Replicon and relaxase typing were able to type 83.4 and 58 % of plasmids, respectively, compared to 99.9 % for MOB-clusters. Within this work, we developed an approach to characterize the horizonal transfer of MOB-clusters and AMR genes across different serotypes, as well as the diversity of MOB-cluster associations with AMR genes. Aggregating conjugative mobility predictions provided by the MOB-suite and their corresponding serovar entropy demonstrated that non-mobilizable plasmids were associated with fewer serotypes compared to mobilizable or conjugative MOB-clusters. The host-range predictions for MOB-clusters also showed differences between the mobility classes, with mobilizable MOB-clusters accounting for 88.3 % of the multi-phyla (broad-host-range) predictions compared to 3 and 8.6 % for conjugative and non-mobilizable, respectively. A total of 296 (22 %) of identified MOB-clusters were associated with at least one resistance gene, indicating that the majority of plasmids are not involved in AMR dissemination. Shannon entropy analysis of horizontal transfer of AMR genes across serovars and MOB-clusters demonstrated that horizonal transfer of genes is higher between serovars compared to transfer between different MOB-clusters. In addition to the population structure characterization based on primary MOB-clusters, we characterized a multi-plasmid outbreak responsible for the global dissemination of across different serotypes using higher resolution MOB-suite secondary cluster codes. The plasmid characterization approach developed here can be applied to different organisms to identify plasmids and genes which pose high risks for horizontal transfer.

  • This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution.
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2023-05-18
2025-01-23
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References

  1. Robertson J, Schonfeld J, Bessonov K, Bastedo P, Nash JHE. A global survey of Salmonella Plasmids and their associations with antimicrobial resistance Microbiology Society. Dataset 2023 https://doi.org/10.6084/m9.figshare.22194235.v1
    [Google Scholar]
  2. Balasubramanian R, Im J, Lee J-S, Jeon HJ, Mogeni OD et al. The global burden and epidemiology of invasive non-typhoidal Salmonella infections. Hum Vaccin Immunother 2019; 15:1421–1426 [View Article] [PubMed]
    [Google Scholar]
  3. Majowicz SE, Musto J, Scallan E, Angulo FJ, Kirk M et al. The global burden of nontyphoidal Salmonella gastroenteritis. Clin Infect Dis 2010; 50:882–889 [View Article] [PubMed]
    [Google Scholar]
  4. Pires SM, Desta BN, Mughini-Gras L, Mmbaga BT, Fayemi OE et al. Burden of foodborne diseases: think global, act local. Curr Opin Food Sci 2021; 39:152–159 [View Article] [PubMed]
    [Google Scholar]
  5. WHO Antimicrobial Resistance: Global Report on Surveillance 2014 Geneva: World Health Organization; 2014
    [Google Scholar]
  6. US Food and Drug Administration NARMS Update: Integrated Report Summary. 19April 2022 https://www.fda.gov/animal-veterinary/national-antimicrobial-resistance-monitoring-system/2019-narms-update-integrated-report-summary accessed 2 June 2022
  7. Botelho J, Schulenburg H. The role of integrative and conjugative elements in antibiotic resistance evolution. Trends Microbiol 2021; 29:8–18 [View Article] [PubMed]
    [Google Scholar]
  8. Johnson CM, Grossman AD. Integrative and Conjugative Elements (ICEs): what they do and how they work. Annu Rev Genet 2015; 49:577–601 [View Article] [PubMed]
    [Google Scholar]
  9. Robertson J, Nash JHE. MOB-suite: software tools for clustering, reconstruction and typing of plasmids from draft assemblies. Microb Genom 2018; 4:e000206 [View Article] [PubMed]
    [Google Scholar]
  10. Rozwandowicz M, Brouwer MSM, Fischer J, Wagenaar JA, Gonzalez-Zorn B et al. Plasmids carrying antimicrobial resistance genes in Enterobacteriaceae. J Antimicrob Chemother 2018; 73:1121–1137 [View Article] [PubMed]
    [Google Scholar]
  11. Carattoli A, Zankari E, García-Fernández A, Voldby Larsen M, Lund O et al. In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob Agents Chemother 2014; 58:3895–3903 [View Article] [PubMed]
    [Google Scholar]
  12. Orlek A, Phan H, Sheppard AE, Doumith M, Ellington M et al. Ordering the MOB: insights into replicon and MOB typing schemes from analysis of a curated dataset of publicly available plasmids. Plasmid 2017; 91:42–52 [View Article] [PubMed]
    [Google Scholar]
  13. Baker S, Hardy J, Sanderson KE, Quail M, Goodhead I et al. A novel linear plasmid mediates flagellar variation in Salmonella Typhi. PLoS Pathog 2007; 3:e59 [View Article] [PubMed]
    [Google Scholar]
  14. Robertson J, Lin J, Wren-Hedgus A, Arya G, Carrillo C et al. Development of a multi-locus typing scheme for an Enterobacteriaceae linear plasmid that mediates inter-species transfer of flagella. PLoS One 2019; 14:e0218638 [View Article] [PubMed]
    [Google Scholar]
  15. Coluzzi C, Garcillán-Barcia MP, de la Cruz F, Rocha EPC. Evolution of plasmid mobility: origin and fate of conjugative and nonconjugative plasmids. Mol Biol Evol 2022; 39:msac115 [View Article] [PubMed]
    [Google Scholar]
  16. Redondo-Salvo S, Fernández-López R, Ruiz R, Vielva L, de Toro M et al. Pathways for horizontal gene transfer in bacteria revealed by a global map of their plasmids. Nat Commun 2020; 11:3602 [View Article] [PubMed]
    [Google Scholar]
  17. Carattoli A, Bertini A, Villa L, Falbo V, Hopkins KL et al. Identification of plasmids by PCR-based replicon typing. J Microbiol Methods 2005; 63:219–228 [View Article] [PubMed]
    [Google Scholar]
  18. Alvarado A, Garcillán-Barcia MP, de la Cruz F, Cloeckaert A. A Degenerate Primer MOB Typing (DPMT) method to classify gamma-proteobacterial plasmids in clinical and environmental settings. PLoS One 2012; 7:e40438 [View Article]
    [Google Scholar]
  19. Orlek A, Stoesser N, Anjum MF, Doumith M, Ellington MJ et al. Plasmid classification in an era of whole-genome sequencing: application in studies of antibiotic resistance epidemiology. Front Microbiol 2017; 8:182 [View Article] [PubMed]
    [Google Scholar]
  20. Douarre PE, Mallet L, Radomski N, Felten A, Mistou MY. Analysis of COMPASS, a new comprehensive plasmid database revealed prevalence of multireplicon and extensive diversity of IncF plasmids. Front Microbiol 2020; 11:483 [View Article] [PubMed]
    [Google Scholar]
  21. Robertson J, Bessonov K, Schonfeld J, Nash JHE. Universal whole-sequence-based plasmid typing and its utility to prediction of host range and epidemiological surveillance. Microb Genom 2020; 6:000435 [View Article] [PubMed]
    [Google Scholar]
  22. Hancock SJ, Phan M-D, Peters KM, Forde BM, Chong TM et al. Identification of IncA/C plasmid replication and maintenance genes and development of a plasmid multilocus sequence typing scheme. Antimicrob Agents Chemother 2017; 61:e01740-16 [View Article] [PubMed]
    [Google Scholar]
  23. García-Fernández A, Chiaretto G, Bertini A, Villa L, Fortini D et al. Multilocus sequence typing of IncI1 plasmids carrying extended-spectrum beta-lactamases in Escherichia coli and Salmonella of human and animal origin. J Antimicrob Chemother 2008; 61:1229–1233 [View Article] [PubMed]
    [Google Scholar]
  24. García-Fernández A, Villa L, Moodley A, Hasman H, Miriagou V et al. Multilocus sequence typing of IncN plasmids. J Antimicrob Chemother 2011; 66:1987–1991 [View Article] [PubMed]
    [Google Scholar]
  25. Fondi M, Bacci G, Brilli M, Papaleo MC, Mengoni A et al. Exploring the evolutionary dynamics of plasmids: the Acinetobacter pan-plasmidome. BMC Evol Biol 2010; 10:59 [View Article] [PubMed]
    [Google Scholar]
  26. Tazzyman SJ, Bonhoeffer S. Why there are no essential genes on plasmids. Mol Biol Evol 2015; 32:3079–3088 [View Article] [PubMed]
    [Google Scholar]
  27. Acman M, van Dorp L, Santini JM, Balloux F. Large-scale network analysis captures biological features of bacterial plasmids. Nat Commun 2020; 11:2452 [View Article] [PubMed]
    [Google Scholar]
  28. Redondo-Salvo S, Bartomeus-Peñalver R, Vielva L, Tagg KA, Webb HE et al. COPLA, a taxonomic classifier of plasmids. BMC Bioinformatics 2021; 22:390 [View Article] [PubMed]
    [Google Scholar]
  29. Ondov BD, Treangen TJ, Melsted P, Mallonee AB, Bergman NH et al. Mash: fast genome and metagenome distance estimation using MinHash. Genome Biol 2016; 17:132 [View Article] [PubMed]
    [Google Scholar]
  30. Stimson J, Gardy J, Mathema B, Crudu V, Cohen T et al. Beyond the SNP threshold: identifying outbreak clusters using inferred transmissions. Mol Biol Evol 2019; 36:587–603 [View Article] [PubMed]
    [Google Scholar]
  31. Ruppitsch W, Pietzka A, Prior K, Bletz S, Fernandez HL et al. Defining and evaluating a core genome multilocus sequence typing scheme for whole-genome sequence-based typing of Listeria monocytogenes. J Clin Microbiol 2015; 53:2869–2876 [View Article] [PubMed]
    [Google Scholar]
  32. Zhou H, Liu W, Qin T, Liu C, Ren H. Defining and evaluating a core genome multilocus sequence typing scheme for whole-genome sequence-based typing of Klebsiella pneumoniae. Front Microbiol 2017; 8:371 [View Article] [PubMed]
    [Google Scholar]
  33. Brooks LE, Kaze M, Sistrom M. Where the plasmids roam: large-scale sequence analysis reveals plasmids with large host ranges. Microb Genom 2019; 5:e000244 [View Article] [PubMed]
    [Google Scholar]
  34. Jain A, Srivastava P. Broad host range plasmids. FEMS Microbiol Lett 2013; 348:87–96 [View Article] [PubMed]
    [Google Scholar]
  35. Popowska M, Krawczyk-Balska A. Broad-host-range IncP-1 plasmids and their resistance potential. Front Microbiol 2013; 4:44 [View Article] [PubMed]
    [Google Scholar]
  36. Ramsay JP, Kwong SM, Murphy RJT, Eto KY, Price KJ et al. An updated view of plasmid conjugation and mobilization in Staphylococcus. Mob Genet Elements 2016; 6:e1208317 [View Article] [PubMed]
    [Google Scholar]
  37. Garcillán-Barcia MP, Alvarado A, de la Cruz F. Identification of bacterial plasmids based on mobility and plasmid population biology. FEMS Microbiol Rev 2011; 35:936–956 [View Article] [PubMed]
    [Google Scholar]
  38. Shintani M, Sanchez ZK, Kimbara K. Genomics of microbial plasmids: classification and identification based on replication and transfer systems and host taxonomy. Front Microbiol 2015; 6:242 [View Article] [PubMed]
    [Google Scholar]
  39. Humphrey S, San Millán Á, Toll-Riera M, Connolly J, Flor-Duro A et al. Staphylococcal phages and pathogenicity islands drive plasmid evolution. Nat Commun 2021; 12:5845 [View Article] [PubMed]
    [Google Scholar]
  40. Pfeifer E, Moura de Sousa JA, Touchon M, Rocha EPC. Bacteria have numerous distinctive groups of phage-plasmids with conserved phage and variable plasmid gene repertoires. Nucleic Acids Res 2021; 49:2655–2673 [View Article] [PubMed]
    [Google Scholar]
  41. Beck J, Schwanghart W. Comparing measures of species diversity from incomplete inventories: an update. Methods Ecol Evol 2010; 1:38–44 [View Article]
    [Google Scholar]
  42. Chao A, Shen TJ. Nonparametric estimation of Shannon’s index of diversity when there are unseen species in sample. Environ Ecol Stat 2003; 10:429–443 [View Article]
    [Google Scholar]
  43. Brose U, D. Martinez N. Estimating the richness of species with variable mobility. Oikos 2004; 105:292–300 [View Article]
    [Google Scholar]
  44. Wick RR, Judd LM, Gorrie CL, Holt KE. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol 2017; 13:e1005595 [View Article] [PubMed]
    [Google Scholar]
  45. Walker BJ, Abeel T, Shea T, Priest M, Abouelliel A et al. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS One 2014; 9:e112963 [View Article] [PubMed]
    [Google Scholar]
  46. Yoshida CE, Kruczkiewicz P, Laing CR, Lingohr EJ, Gannon VPJ et al. The Salmonella In Silico Typing Resource (SISTR): an open web-accessible tool for rapidly typing and subtyping draft Salmonella genome assemblies. PLoS One 2016; 11:e0147101 [View Article] [PubMed]
    [Google Scholar]
  47. Seeman T. ABRicate GitHub; 2020 https://github.com/tseemann/abricate
  48. Feldgarden M, Brover V, Haft DH, Prasad AB, Slotta DJ et al. Validating the amrfinder tool and resistance gene database by using antimicrobial resistance genotype-phenotype correlations in a collection of isolates. Antimicrob Agents Chemother 2019; 63:e00483-19 [View Article] [PubMed]
    [Google Scholar]
  49. Li W, Godzik A. CD-HIT: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics 2006; 22:1658–1659 [View Article] [PubMed]
    [Google Scholar]
  50. Octavia S, Wang Q, Tanaka MM, Sintchenko V, Lan R. Genomic variability of serial human isolates of Salmonella enterica serovar Typhimurium associated with prolonged carriage. J Clin Microbiol 2015; 53:3507–3514 [View Article] [PubMed]
    [Google Scholar]
  51. Wein T, Hülter NF, Mizrahi I, Dagan T. Emergence of plasmid stability under non-selective conditions maintains antibiotic resistance. Nat Commun 2019; 10:2595 [View Article] [PubMed]
    [Google Scholar]
  52. Chen S, Larsson M, Robinson RC, Chen SL. Direct and convenient measurement of plasmid stability in lab and clinical isolates of E. coli. Sci Rep 2017; 7:4788 [View Article] [PubMed]
    [Google Scholar]
  53. Dimitriu T, Marchant L, Buckling A, Raymond B. Bacteria from natural populations transfer plasmids mostly towards their kin. Proc Biol Sci 2019; 286:20191110 [View Article] [PubMed]
    [Google Scholar]
  54. Feng Y, Liu J, Li Y-G, Cao F-L, Johnston RN et al. Inheritance of the Salmonella virulence plasmids: mostly vertical and rarely horizontal. Infect Genet Evol 2012; 12:1058–1063 [View Article] [PubMed]
    [Google Scholar]
  55. Ahmer BMM, Tran M, Heffron F. The virulence plasmid of Salmonella typhimurium is self-transmissible. J Bacteriol 1999; 181:1364–1368 [View Article] [PubMed]
    [Google Scholar]
  56. Chu C, Feng Y, Chien AC, Hu S, Chu CH et al. Evolution of genes on the Salmonella virulence plasmid phylogeny revealed from sequencing of the virulence plasmids of S. enterica serotype Dublin and comparative analysis. Genomics 2008; 92:339–343 [View Article] [PubMed]
    [Google Scholar]
  57. Baddam R, Kumar N, Shaik S, Lankapalli AK, Ahmed N. Genome dynamics and evolution of Salmonella Typhi strains from the typhoid-endemic zones. Sci Rep 2014; 4:7457 [View Article] [PubMed]
    [Google Scholar]
  58. Holt KE, Thomson NR, Wain J, Langridge GC, Hasan R et al. Pseudogene accumulation in the evolutionary histories of Salmonella enterica serovars Paratyphi A and Typhi. BMC Genomics 2009; 10:36 [View Article] [PubMed]
    [Google Scholar]
  59. Oliveira PH, Touchon M, Rocha EPC. The interplay of restriction-modification systems with mobile genetic elements and their prokaryotic hosts. Nucleic Acids Res 2014; 42:10618–10631 [View Article] [PubMed]
    [Google Scholar]
  60. Mamontov V, Martynov A, Morozova N, Bukatin A, Staroverov DB et al. Persistence of plasmids targeted by CRISPR interference in bacterial populations. Proc Natl Acad Sci U S A 2022; 119:e2114905119 [View Article] [PubMed]
    [Google Scholar]
  61. Lanza VF, Tedim AP, Martínez JL, Baquero F, Coque TM. The plasmidome of Firmicutes: impact on the emergence and the spread of resistance to antimicrobials. Microbiol Spectr 2015; 3:PLAS-0039-2014 [View Article] [PubMed]
    [Google Scholar]
  62. Soler N, Robert E, Chauvot de Beauchêne I, Monteiro P, Libante V et al. Characterization of a relaxase belonging to the MOBT family, a widespread family in Firmicutes mediating the transfer of ICEs. Mob DNA 2019; 10:18 [View Article] [PubMed]
    [Google Scholar]
  63. Chu C, Chiu CH. Evolution of the virulence plasmids of non-typhoid Salmonella and its association with antimicrobial resistance. Microbes Infect 2006; 8:1931–1936 [View Article] [PubMed]
    [Google Scholar]
  64. Sheppard AE, Stoesser N, Wilson DJ, Sebra R, Kasarskis A et al. Nested Russian doll-like genetic mobility drives rapid dissemination of the carbapenem resistance gene blaKPC. Antimicrob Agents Chemother 2016; 60:3767–3778 [View Article] [PubMed]
    [Google Scholar]
  65. Gorelick R. Combining richness and abundance into a single diversity index using matrix analogues of Shannon’s and Simpson’s indices. Ecography 2006; 29:525–530 [View Article]
    [Google Scholar]
  66. Grabchak M, Marcon E, Lang G, Zhang Z. The generalized Simpson’s entropy is a measure of biodiversity. PLoS One 2017; 12:e0173305 [View Article] [PubMed]
    [Google Scholar]
  67. Medina O, Manian V, Chinea JD. Biodiversity assessment using hierarchical agglomerative clustering and spectral unmixing over hyperspectral images. Sensors 2013; 13:13949–13959 [View Article] [PubMed]
    [Google Scholar]
  68. Folster JP, Tolar B, Pecic G, Sheehan D, Rickert R et al. Characterization of blaCMY plasmids and their possible role in source attribution of Salmonella enterica serotype Typhimurium infections. Foodborne Pathog Dis 2014; 11:301–306 [View Article] [PubMed]
    [Google Scholar]
  69. Castellanos LR, van der Graaf-van Bloois L, Donado-Godoy P, Mevius DJ, Wagenaar JA et al. Phylogenomic investigation of INCI1-Iγ plasmids harboring blaCMY-2 and blaSHV-12 in Salmonella enterica and Escherichia coli in multiple countries. Antimicrob Agents Chemother 2019; 63:e02546-18 [View Article]
    [Google Scholar]
  70. Folster JP, Pecic G, McCullough A, Rickert R, Whichard JM. Characterization of bla(CMY)-encoding plasmids among Salmonella isolated in the United States in 2007. Foodborne Pathog Dis 2011; 8:1289–1294 [View Article] [PubMed]
    [Google Scholar]
  71. Guzman-Otazo J, Joffré E, Agramont J, Mamani N, Jutkina J et al. Conjugative transfer of multi-drug resistance IncN plasmids from environmental waterborne bacteria to Escherichia coli.. Front Microbiol 2022; 13:997849 [View Article] [PubMed]
    [Google Scholar]
  72. Dorr M, Silver A, Smurlick D, Arukha A, Kariyawasam S et al. Transferability of ESBL-encoding IncN and IncI1 plasmids among field strains of different Salmonella serovars and Escherichia coli. J Glob Antimicrob Resist 2022; 30:88–95 [View Article] [PubMed]
    [Google Scholar]
  73. Alderliesten JB, Duxbury SJN, Zwart MP, de Visser JAGM, Stegeman A et al. Effect of donor-recipient relatedness on the plasmid conjugation frequency: a meta-analysis. BMC Microbiol 2020; 20:135 [View Article] [PubMed]
    [Google Scholar]
  74. Tran F, Boedicker JQ. Plasmid characteristics modulate the propensity of gene exchange in bacterial vesicles. J Bacteriol 2019; 201:e00430-18 [View Article] [PubMed]
    [Google Scholar]
  75. Slater FR, Bailey MJ, Tett AJ, Turner SL. Progress towards understanding the fate of plasmids in bacterial communities. FEMS Microbiol Ecol 2008; 66:3–13 [View Article] [PubMed]
    [Google Scholar]
  76. Hernández-Beltrán JCR, San Millán A, Fuentes-Hernández A, Peña-Miller R. Mathematical models of plasmid population dynamics. Front Microbiol 2021; 12:606396 [View Article] [PubMed]
    [Google Scholar]
  77. Harrison E, Dytham C, Hall JPJ, Guymer D, Spiers AJ et al. Rapid compensatory evolution promotes the survival of conjugative plasmids. Mob Genet Elements 2016; 6:e1179074 [View Article] [PubMed]
    [Google Scholar]
  78. Rehman MA, Yin X, Persaud-Lachhman MG, Diarra MS. First detection of a fosfomycin resistance gene, fosA7, in Salmonella enterica serovar Heidelberg isolated from broiler chickens. Antimicrob Agents Chemother 2017; 61:e00410-17 [View Article] [PubMed]
    [Google Scholar]
  79. Doublet B, Boyd D, Mulvey MR, Cloeckaert A. The Salmonella genomic island 1 is an integrative mobilizable element. Mol Microbiol 2005; 55:1911–1924 [View Article] [PubMed]
    [Google Scholar]
  80. Singh NS, Singhal N, Virdi JS. Genetic environment of blaTEM-1, blaCTX-M-15, blaCMY-42 and characterization of integrons of Escherichia coli isolated from an Indian urban aquatic environment. Front Microbiol 2018; 9:00382 [View Article] [PubMed]
    [Google Scholar]
  81. Su L-H, Chen H-L, Chia J-H, Liu S-Y, Chu C et al. Distribution of a transposon-like element carrying bla(CMY-2) among Salmonella and other Enterobacteriaceae. J Antimicrob Chemother 2006; 57:424–429 [View Article] [PubMed]
    [Google Scholar]
  82. Abraham S, Kirkwood RN, Laird T, Saputra S, Mitchell T et al. Dissemination and persistence of extended-spectrum cephalosporin-resistance encoding IncI1-blaCTXM-1 plasmid among Escherichia coli in pigs. ISME J 2018; 12:2352–2362 [View Article] [PubMed]
    [Google Scholar]
  83. Carattoli A, Villa L, Fortini D, García-Fernández A. Contemporary IncI1 plasmids involved in the transmission and spread of antimicrobial resistance in Enterobacteriaceae. Plasmid 2021; 118:102392 [View Article] [PubMed]
    [Google Scholar]
  84. Castellanos LR, Donado-Godoy P, León M, Clavijo V, Arevalo A et al. High heterogeneity of Escherichia coli sequence types harbouring ESBL/AmpC genes on IncI1 plasmids in the Colombian poultry chain. PLoS One 2017; 12:e0170777 [View Article] [PubMed]
    [Google Scholar]
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