1887

Abstract

infection (CDI) remains a significant public health threat globally. New interventions to treat CDI rely on an understanding of the evolution and epidemiology of circulating strains. Here we provide longitudinal genomic data on strain diversity, transmission dynamics and antimicrobial resistance (AMR) of ribotypes (RTs) 014/020 (=169), 002 (=77) and 056 (=36), the three most prominent strains causing CDI in Australia. Genome scrutiny showed that AMR was uncommon in these lineages, with resistance-conferring alleles present in only 15/169 RT014/020 strains (8.9 %), 1/36 RT056 strains (2.78 %) and none of 77 RT002 strains. Notably, ~90 % of strains were resistant to MLS agents , but only ~5.9 % harboured known resistance alleles, highlighting an incongruence between AMR genotype and phenotype. Core genome analyses revealed all three RTs contained genetically heterogeneous strain populations with limited evidence of clonal transmission between CDI cases. The average number of pairwise core genome SNP (cgSNP) differences within each RT group ranged from 23.3 (RT056, ST34, =36) to 115.6 (RT002, ST8, =77) and 315.9 (RT014/020, STs 2, 13, 14, 49, =169). Just 19 clonal groups (encompassing 40 isolates), defined as isolates differing by ≤2 cgSNPs, were identified across all three RTs (RT014/020, =14; RT002, =3; RT056, =2). Of these clonal groups, 63 % (12/19) comprised isolates from the same Australian State and 37 % (7/19) comprised isolates from different States. The low number of plausible transmission events found for these major RTs (and previously documented populations in animal and environmental sources/reservoirs) points to widespread and persistent community sources of diverse strains as opposed to ongoing nationwide healthcare outbreaks dominated by a single clone. Together, these data provide new insights into the evolution of major lineages causing CDI in Australia and highlight the urgent need for enhanced surveillance, and for public health interventions to move beyond the healthcare setting and into a One Health paradigm to effectively combat this complex pathogen.

Funding
This study was supported by the:
  • Raine Medical Research Foundation (Award RPG002-19)
    • Principle Award Recipient: DanielR Knight
  • National Health and Medical Research Council (Award APP1138257)
    • Principle Award Recipient: DanielR Knight
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution.
Loading

Article metrics loading...

/content/journal/mgen/10.1099/mgen.0.001232
2024-05-08
2024-05-19
Loading full text...

Full text loading...

/deliver/fulltext/mgen/10/5/mgen001232.html?itemId=/content/journal/mgen/10.1099/mgen.0.001232&mimeType=html&fmt=ahah

References

  1. Guery B, Galperine T, Barbut F. Clostridioides difficile: diagnosis and treatments. BMJ 2019; 366:l4609 [View Article] [PubMed]
    [Google Scholar]
  2. Centers for Disease Control and Prevention Antibiotic resistance threats in the United States; 2019 https://www.cdc.gov/drugresistance/biggest-threats.html
  3. Australian Commission on Safety and Quality in Health Care Monitoring the national burden of C.difficile infection in Australian public hospitals: 2016, 2017 and 2018; 2021 http://www.safetyandquality.gov.au/
  4. Chen Y, Glass K, Liu B, Korda RJ, Riley TV et al. Burden of Clostridium difficile infection: Associated hospitalization in a cohort of middle-aged and older adults. Am J Infect Control 2017; 45:508–511 [View Article] [PubMed]
    [Google Scholar]
  5. Eyre DW, Fawley WN, Rajgopal A, Settle C, Mortimer K et al. Comparison of control of Clostridium difficile infection in six english hospitals using whole-genome sequencing. Clin Infect Dis 2017; 65:433–441 [View Article] [PubMed]
    [Google Scholar]
  6. Eyre DW, Tracey L, Elliott B, Slimings C, Huntington PG et al. Emergence and spread of predominantly community-onset Clostridium difficile PCR ribotype 244 infection in Australia, 2010 to 2012. Euro Surveill 2015; 20:21059 [View Article] [PubMed]
    [Google Scholar]
  7. Hong S, Knight DR, Chang B, Carman RJ, Riley TV. Phenotypic characterisation of Clostridium difficile PCR ribotype 251, an emerging multi-locus sequence type clade 2 strain in Australia. Anaerobe 2019; 60:102066 [View Article] [PubMed]
    [Google Scholar]
  8. Knight DR, Giglio S, Huntington PG, Korman TM, Kotsanas D et al. Surveillance for antimicrobial resistance in Australian isolates of Clostridium difficile, 2013-14. J Antimicrob Chemother 2015; 70:2992–2999 [View Article] [PubMed]
    [Google Scholar]
  9. Hong S, Putsathit P, George N, Hemphill C, Huntington PG et al. Laboratory-based surveillance of Clostridium difficile infection in Australian health care and community settings, 2013 to 2018. J Clin Microbiol 2020; 58:e01552-20 [View Article] [PubMed]
    [Google Scholar]
  10. Putsathit P, Hong S, George N, Hemphill C, Huntington PG et al. Antimicrobial resistance surveillance of Clostridioides difficile in Australia, 2015-18. J Antimicrob Chemother 2021; 76:1815–1821 [View Article] [PubMed]
    [Google Scholar]
  11. Krueger F. TrimGalore; 2019 https://github.com/FelixKrueger/TrimGalore
  12. Andrews S. FastQC; 2020 https://github.com/s-andrews/FastQC
  13. Wood DE, Lu J, Langmead B. Improved metagenomic analysis with Kraken 2. Genome Biol 2019; 20:257 [View Article] [PubMed]
    [Google Scholar]
  14. Inouye M, Dashnow H, Raven L-A, Schultz MB, Pope BJ et al. SRST2: rapid genomic surveillance for public health and hospital microbiology labs. Genome Med 2014; 6:90 [View Article] [PubMed]
    [Google Scholar]
  15. Griffiths D, Fawley W, Kachrimanidou M, Bowden R, Crook DW et al. Multilocus sequence typing of Clostridium difficile. J Clin Microbiol 2010; 48:770–778 [View Article] [PubMed]
    [Google Scholar]
  16. 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]
  17. Eyre DW, Cule ML, Wilson DJ, Griffiths D, Vaughan A et al. Diverse sources of C. difficile infection identified on whole-genome sequencing. N Engl J Med 2013; 369:1195–1205 [View Article] [PubMed]
    [Google Scholar]
  18. Seeman T. Snippy; 2019 https://github.com/tseemann/snippy
  19. Knight DR, Kullin B, Androga GO, Barbut F, Eckert C et al. Evolutionary and genomic insights into Clostridioides difficile sequence type 11: a diverse zoonotic and antimicrobial-resistant lineage of global one health importance. mBio 2019; 10:e00446-19 [View Article] [PubMed]
    [Google Scholar]
  20. O’Grady K, Riley TV, Knight DR. Complete genome assemblies of three highly prevalent, toxigenic Clostridioides difficile strains causing health care-associated infections in Australia. Microbiol Resour Announc 2021; 10:e00599-21 [View Article] [PubMed]
    [Google Scholar]
  21. Croucher NJ, Page AJ, Connor TR, Delaney AJ, Keane JA et al. Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins. Nucleic Acids Res 2014; 43:e15 [View Article] [PubMed]
    [Google Scholar]
  22. Seeman T. SNP-dists: pairwise SNP distances from FASTA sequence alignments; 2018 https://github.com/tseemann/snp-dists
  23. Didelot X, Eyre DW, Cule M, Ip CLC, Ansari MA et al. Microevolutionary analysis of Clostridium difficile genomes to investigate transmission. Genome Biol 2012; 13:R118 [View Article] [PubMed]
    [Google Scholar]
  24. Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 2014; 30:1312–1313 [View Article] [PubMed]
    [Google Scholar]
  25. O’Grady K, Knight DR, Riley TV. Antimicrobial resistance in Clostridioides difficile. Eur J Clin Microbiol Infect Dis 2021; 40:2459–2478 [View Article] [PubMed]
    [Google Scholar]
  26. Eyre DW, Davies KA, Davis G, Fawley WN, Dingle KE et al. Two distinct patterns of Clostridium difficile diversity across Europe indicating contrasting routes of spread. Clin Infect Dis 2018; 67:1035–1044 [View Article] [PubMed]
    [Google Scholar]
  27. Lim SC, Knight DR, Riley TV. Clostridium difficile and one health. Clin Microbiol Infect 2020; 26:857–863 [View Article] [PubMed]
    [Google Scholar]
  28. Knight DR, Riley TV. Genomic delineation of zoonotic origins of Clostridium difficile. Front Public Health 2019; 7:164 [View Article] [PubMed]
    [Google Scholar]
  29. Janezic S, Ocepek M, Zidaric V, Rupnik M. Clostridium difficile genotypes other than ribotype 078 that are prevalent among human, animal and environmental isolates. BMC Microbiol 2012; 12:48 [View Article] [PubMed]
    [Google Scholar]
  30. Knight DR, Squire MM, Collins DA, Riley TV. Genome analysis of Clostridium difficile PCR ribotype 014 lineage in Australian pigs and humans reveals a diverse genetic repertoire and signatures of long-range interspecies transmission. Front Microbiol 2016; 7:2138 [View Article] [PubMed]
    [Google Scholar]
  31. Lim S-C, Androga GO, Knight DR, Moono P, Foster NF et al. Antimicrobial susceptibility of Clostridium difficile isolated from food and environmental sources in Western Australia. Int J Antimicrob Agents 2018; 52:411–415 [View Article] [PubMed]
    [Google Scholar]
  32. Lim SC, Foster NF, Elliott B, Riley TV. High prevalence of Clostridium difficile on retail root vegetables, Western Australia. J Appl Microbiol 2018; 124:585–590 [View Article] [PubMed]
    [Google Scholar]
  33. Hong S, Knight DR, Riley TV. The impact of antimicrobial resistance on induction, transmission and treatment of Clostridium difficile infection. Microbiol Aust 2019; 40:77–81 [View Article]
    [Google Scholar]
  34. Bauer MP, Notermans DW, van Benthem BH, Brazier JS, Wilcox MH et al. Clostridium difficile infection in Europe: a hospital-based survey. Lancet 2011; 377:63–73 [View Article] [PubMed]
    [Google Scholar]
  35. Thiel N, Münch S, Behrens W, Junker V, Faust M et al. Airborne bacterial emission fluxes from manure-fertilized agricultural soil. Microb Biotechnol 2020; 13:1631–1647 [View Article] [PubMed]
    [Google Scholar]
  36. McLure A, Clements ACA, Kirk M, Glass K. Modelling diverse sources of Clostridium difficile in the community: importance of animals, infants and asymptomatic carriers. Epidemiol Infect 2019; 147:1–9 [View Article] [PubMed]
    [Google Scholar]
  37. McLure A, Clements ACA, Kirk M, Glass K. Clostridium difficile classification overestimates hospital-acquired infections. J Hosp Infect 2017; 99:453–460 [View Article] [PubMed]
    [Google Scholar]
  38. Miles-Jay A, Young VB, Pamer EG, Savidge TC, Kamboj M et al. A multisite genomic epidemiology study of Clostridioides difficile infections in the USA supports differential roles of healthcare versus community spread for two common strains. Microb Genom 2021; 7:000590 [View Article] [PubMed]
    [Google Scholar]
  39. García-Fernández S, Frentrup M, Steglich M, Gonzaga A, Cobo M et al. Whole-genome sequencing reveals nosocomial Clostridioides difficile transmission and a previously unsuspected epidemic scenario. Sci Rep 2019; 9:6959 [View Article] [PubMed]
    [Google Scholar]
  40. Imwattana K, Rodríguez C, Riley TV, Knight DR. A species-wide genetic atlas of antimicrobial resistance in Clostridioides difficile. Microb Genom 2021; 7:000696 [View Article] [PubMed]
    [Google Scholar]
  41. Knight DR, Elliott B, Chang BJ, Perkins TT, Riley TV. Diversity and evolution in the genome of Clostridium difficile. Clin Microbiol Rev 2015; 28:721–741 [View Article] [PubMed]
    [Google Scholar]
  42. Dingle KE, Elliott B, Robinson E, Griffiths D, Eyre DW et al. Evolutionary history of the Clostridium difficile pathogenicity locus. Genome Biol Evol 2014; 6:36–52 [View Article] [PubMed]
    [Google Scholar]
  43. Baines SD, Wilcox MH. Antimicrobial resistance and reduced susceptibility in Clostridium difficile: potential consequences for induction, treatment, and recurrence of C. difficile infection. Antibiotics (Basel) 2015; 4:267–298 [View Article] [PubMed]
    [Google Scholar]
  44. Spigaglia P, Mastrantonio P, Barbanti F. Antibiotic resistances of Clostridium difficile. In Mastrantonio P, Rupnik M. eds Adv Exp Med BiolUpdates on Clostridium difficile in Europe vol 1050 Springer, Cham; 2018 [View Article]
    [Google Scholar]
  45. Perumalsamy S, Putsathit P, Riley TV. High prevalence of Clostridium difficile in soil, mulch and lawn samples from the grounds of Western Australian hospitals. Anaerobe 2019; 60:102065 [View Article] [PubMed]
    [Google Scholar]
  46. Liao CH, Ko WC, Lu JJ, Hsueh PR. Characterizations of clinical isolates of Clostridium difficile by toxin genotypes and by susceptibility to 12 antimicrobial agents, including fidaxomicin (OPT-80) and rifaximin: A multicenter study in Taiwan. Antimicrob Agents Chemother 2012; 56:3943–3949 [View Article] [PubMed]
    [Google Scholar]
  47. Mac Aogáin M, Kilkenny S, Walsh C, Lindsay S, Moloney G et al. Identification of a novel mutation at the primary dimer interface of GyrA conferring fluoroquinolone resistance in Clostridium difficile. J Glob Antimicrob Resist 2015; 3:295–299 [View Article] [PubMed]
    [Google Scholar]
  48. He M, Sebaihia M, Lawley TD, Stabler RA, Dawson LF et al. Evolutionary dynamics of Clostridium difficile over short and long time scales. Proc Natl Acad Sci USA 2010; 107:7527–7532 [View Article] [PubMed]
    [Google Scholar]
  49. Wang H, Roberts AP, Lyras D, Rood JI, Wilks M et al. Characterization of the ends and target sites of the novel conjugative transposon Tn5397 from Clostridium difficile: excision and circularization is mediated by the large resolvase, TndX. J Bacteriol 2000; 182:3775–3783 [View Article] [PubMed]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/mgen/10.1099/mgen.0.001232
Loading
/content/journal/mgen/10.1099/mgen.0.001232
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error