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Abstract

subsp. causes the equine respiratory disease ‘strangles’, which is highly contagious, debilitating and costly to the equine industry. emerged from the ancestral subsp. and continues to evolve and disseminate globally. Previous work has shown that there was a global population replacement around the beginning of the twentieth century, obscuring the early genetic events in this emergence. Here, we have used large-scale genomic analysis of and its ancestor to identify evolutionary events, leading to the successful expansion of . One thousand two hundred one whole-genome sequences of were recovered from clinical samples or from data available in public databases. Seventy-four whole-genome sequences representative of the diversity of were used to compare the gene content and examine the evolutionary emergence of . A dated Bayesian phylogeny was constructed, and ancestral state reconstruction was used to determine the order and timing of gene gain and loss events between the different species and between different lineages. Additionally, a newly developed framework was used to investigate the fitness of different lineages. We identified a novel lineage, comprising isolates from donkeys in Chinese farms, which diverged nearly 300 years ago, after the emergence of from , but before the global sweep. Ancestral state reconstruction demonstrated that phage-encoded virulence factors , and were acquired by the global after the divergence of the basal donkey lineage. We identified the equibactin locus in both populations, but not , reinforcing its role as a key virulence mechanism involved in its initial emergence. Evidence of a further population sweep beginning in the early 2000s was detected in the UK. This clade now accounts for more than 80% of identified UK cases since 2016. Several sub-lineages demonstrated increased fitness, within which we identified the acquisition of a new, fifth prophage containing additional toxin genes. We definitively show that acquisition of the equibactin locus was a major determinant in becoming an equid-exclusive pathogen, but that other virulence factors were fixed by the population sweep at the beginning of the twentieth century. Evidence of a secondary population sweep in the UK and acquisition of further advantageous genes implies that is continuing to adapt, and therefore, continued investigations are required to determine further risks to the equine industry.

Funding
This study was supported by the:
  • Petplan Charitable Trust (Award S19-741-780)
    • Principal Award Recipient: AndrewS. Waller
  • 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.
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2025-03-28
2026-03-07

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References

  1. Ruffo G. De medicina equorum. https://iiif.wellcomecollection.org/pdf/b19689755 accessed 1 March 2024 [PubMed]
  2. Schütz JW. The Streptococcus of strangles. J Comp Pathol Ther 1888; 1:191–208 [View Article]
    [Google Scholar]
  3. Waller A. Streptococcus equi: breaking its strangles-hold. Vet Rec 2018; 182:316–318 [View Article]
    [Google Scholar]
  4. Newton JR, Verheyen K, Talbot NC, Timoney JF, Wood JL et al. Control of strangles outbreaks by isolation of guttural pouch carriers identified using PCR and culture of Streptococcus equi. Equine Vet J 2000; 32:515–526 [View Article] [PubMed]
    [Google Scholar]
  5. Webb K, Jolley KA, Mitchell Z, Robinson C, Newton JR et al. Development of an unambiguous and discriminatory multilocus sequence typing scheme for the Streptococcus zooepidemicus group. Microbiol 2008; 154:3016–3024 [View Article] [PubMed]
    [Google Scholar]
  6. Holden MTG, Heather Z, Paillot R, Steward KF, Webb K et al. Genomic evidence for the evolution of Streptococcus equi: host restriction, increased virulence, and genetic exchange with human pathogens. PLoS Pathog 2009; 5:e1000346 [View Article] [PubMed]
    [Google Scholar]
  7. Waller AS, Wilson H. Streptococcus zooepidemicus: commensal or pathogen. In Emerging Infectious Diseases - AAEP Proceedings 2021 pp 67
    [Google Scholar]
  8. Brüssow H, Canchaya C, Hardt W-D. Phages and the evolution of bacterial pathogens: from genomic rearrangements to lysogenic conversion. Microbiol Mol Biol Rev 2004; 68:560–602 [View Article] [PubMed]
    [Google Scholar]
  9. Heather Z, Holden MTG, Steward KF, Parkhill J, Song L et al. A novel Streptococcal integrative conjugative element involved in iron acquisition. Mol Microbiol 2008; 70:1274–1292 [View Article] [PubMed]
    [Google Scholar]
  10. Harris SR, Robinson C, Steward KF, Webb KS, Paillot R et al. Genome specialization and decay of the strangles pathogen, Streptococcus equi, is driven by persistent infection. Genome Res 2015; 25:1360–1371 [View Article] [PubMed]
    [Google Scholar]
  11. Mitchell C, Steward KF, Charbonneau ARL, Walsh S, Wilson H et al. Globetrotting strangles: the unbridled national and international transmission of Streptococcus equi between horses. Microb Genom 2021; 7:000528 [View Article] [PubMed]
    [Google Scholar]
  12. Morris ERA, Hillhouse AE, Konganti K, Wu J, Lawhon SD et al. Comparison of whole genome sequences of Streptococcus equi subsp. equi from an outbreak in Texas with isolates from within the region, Kentucky, USA, and other countries. Vet Microbiol 2020; 243:108638 [View Article] [PubMed]
    [Google Scholar]
  13. Rotinsulu DA, Ewers C, Kerner K, Amrozi A, Soejoedono RD et al. Molecular features and antimicrobial susceptibilities of Streptococcus equi ssp. equi isolates from strangles cases in Indonesia. Vet Sci 2023; 10:49 [View Article] [PubMed]
    [Google Scholar]
  14. McGlennon A, Waller A, Verheyen K, Slater J, Grewar J et al. Surveillance of strangles in UK horses between 2015 and 2019 based on laboratory detection of Streptococcus equi. Vet Rec 2021; 189:e948 [View Article] [PubMed]
    [Google Scholar]
  15. Dong J, Gao N, Waller AS, Cook FR, Fan S et al. An outbreak of strangles associated with a novel genotype of Streptococcus equi subspecies equi in donkeys in China during 2018. Equine Vet J 2019; 51:743–748 [View Article] [PubMed]
    [Google Scholar]
  16. Zhang Y, Lv F, Su Y, Zhang H, Zhang B. Complete genome sequencing and comparative genomic analysis of three donkey Streptococcus equi subsp. equi isolates. Front Microbiol 2023; 14:1285027 [View Article] [PubMed]
    [Google Scholar]
  17. Tonkin-Hill G, Lees JA, Bentley SD, Frost SDW, Corander J. Fast hierarchical bayesian analysis of population structure. Nucleic Acids Res 2019; 47:5539–5549 [View Article] [PubMed]
    [Google Scholar]
  18. 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 2015; 43:e15 [View Article] [PubMed]
    [Google Scholar]
  19. Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD et al. IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol Biol Evol 2020; 37:1530–1534 [View Article] [PubMed]
    [Google Scholar]
  20. Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods 2017; 14:587–589 [View Article] [PubMed]
    [Google Scholar]
  21. Hoang DT, Chernomor O, von Haeseler A, Minh BQ, Vinh LS. UFBoot2: improving the ultrafast bootstrap approximation. Mol Biol Evol 2018; 35:518–522 [View Article] [PubMed]
    [Google Scholar]
  22. Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res 2003; 13:2498–2504 [View Article] [PubMed]
    [Google Scholar]
  23. Bouckaert R, Vaughan TG, Barido-Sottani J, Duchêne S, Fourment M et al. BEAST 2.5: an advanced software platform for Bayesian evolutionary analysis. PLoS Comput Biol 2019; 15:e1006650 [View Article] [PubMed]
    [Google Scholar]
  24. Lefrancq N, Duret L, Bouchez V, Brisse S, Parkhill J et al. Learning the fitness dynamics of pathogens from phylogenies. Epidemiol 2023 [View Article]
    [Google Scholar]
  25. Tonkin-Hill G, MacAlasdair N, Ruis C, Weimann A, Horesh G et al. Producing polished prokaryotic pangenomes with the panaroo pipeline. Genome Biol 2020; 21:180 [View Article] [PubMed]
    [Google Scholar]
  26. Page AJ, Taylor B, Delaney AJ, Soares J, Seemann T et al. SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments. Microbial Genomics 2016; 2:5 [View Article]
    [Google Scholar]
  27. Kent WJ. BLAT--the BLAST-like alignment tool. Genome Res 2002; 12:656–664 [View Article] [PubMed]
    [Google Scholar]
  28. Gouy M, Guindon S, Gascuel O. SeaView version 4: a multiplatform graphical user interface for sequence alignment and phylogenetic tree building. Mol Biol Evol 2010; 27:221–224 [View Article] [PubMed]
    [Google Scholar]
  29. Wickham H. Ggplot2 elegant graphics for data analysis. Springer-Verlag 2016 [View Article]
    [Google Scholar]
  30. R Foundation for Statistical Computing R: a language and environment for statistical computing. Published online 2022 https://www.R-project.org
  31. Xu S, Li L, Luo X, Chen M, Tang W et al. Ggtree: a serialized data object for visualization of a phylogenetic tree and annotation data. Imeta 2022; 1:e56 [View Article] [PubMed]
    [Google Scholar]
  32. Lei B, Flores AR, Yeoman C, Liu M. Complete genome sequence of hypervirulent Streptococcus pyogenes emm 3 Strain 1838. Microbiol Resour Announc 2019; 8:e01494-18 [View Article] [PubMed]
    [Google Scholar]
  33. Paillot R, Robinson C, Steward K, Wright N, Jourdan T et al. Contribution of each of four superantigens to Streptococcus equi-induced mitogenicity, gamma interferon synthesis, and immunity. Infect Immun 2010; 78:1728–1739 [View Article] [PubMed]
    [Google Scholar]
  34. Wilcox A, Barnum S, Wademan C, Corbin R, Escobar E et al. Frequency of detection of respiratory pathogens in clinically healthy show horses following a multi-county outbreak of equine herpesvirus-1 myeloencephalopathy in California. Pathogens 2022; 11:1161 [View Article] [PubMed]
    [Google Scholar]
  35. Pusterla N, Sandler-Burtness E, Barnum S, Hill LA, Mendonsa E et al. Frequency of detection of respiratory pathogens in nasal secretions from healthy sport horses attending a spring show in California. J Equine Vet Sci 2022; 117:104089 [View Article] [PubMed]
    [Google Scholar]
  36. Timoney JF, Kumar P. Early pathogenesis of equine Streptococcus equi infection (strangles). Equine Vet J 2008; 40:637–642 [View Article] [PubMed]
    [Google Scholar]
  37. [Google Scholar]
  38. Waller AS. Strangles: a pathogenic legacy of the war horse. Vet Rec 2016; 178:91–92 [View Article] [PubMed]
    [Google Scholar]
  39. Wilkening RV, Federle MJ. Evolutionary constraints shaping Streptococcus pyogenes-host interactions. Trends Microbiol 2017; 25:562–572 [View Article] [PubMed]
    [Google Scholar]
  40. Murray GGR, Hossain ASMM, Miller EL, Bruchmann S, Balmer AJ et al. The emergence and diversification of a zoonotic pathogen from within the microbiota of intensively farmed pigs. Proc Natl Acad Sci U S A 2023; 120:e2307773120 [View Article] [PubMed]
    [Google Scholar]
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