Analyze Diet
The Journal of veterinary medical science2024; 86(8); 828-832; doi: 10.1292/jvms.23-0342

Genetic analysis based on next generation sequencing of Streptococcus equi subsp. equi isolated from horses imported into Japan.

Abstract: Strangles is a globally widespread, commonly diagnosed and important infectious disease of equids caused by Streptococcus equi subsp. equi. We performed whole genome sequencing of 19 S. equi isolates collected from imported horses at the Japanese border. Of these isolates, 15 isolates were obtained from clinical cases and 4 were from subclinical cases. The 19 isolates were grouped into 3 Bayesian analysis of population structure (BAPS) groups by the core genome single nucleotide polymorphism analysis corresponding to exporting country, SeM typing, or exporter of the horses. The 19 isolates possessed same pathogenic genes regardless of clinical status in imported horses and no antimicrobial resistance genes. The disease status of the horses may rather reflect the prior exposure of animals with sub-clinical infection to S. equi.
Publication Date: 2024-06-18 PubMed ID: 38897953PubMed Central: PMC11300130DOI: 10.1292/jvms.23-0342Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

Overview

  • This study analyzed the genetics of Streptococcus equi subsp. equi bacteria isolated from horses imported into Japan using whole genome sequencing.
  • The research provides insights into the strain differences, pathogenic genes, and antimicrobial resistance profiles of the bacteria in horses showing clinical and subclinical strangles disease.

Background

  • Strangles is an important infectious disease in horses caused by the bacterium Streptococcus equi subsp. equi.
  • It is widespread globally and affects equids, leading to significant health and economic impacts.
  • The disease can present as clinical (showing obvious symptoms) or subclinical (without clear symptoms but infected).

Research Aim

  • To perform genetic analysis of S. equi strains isolated from imported horses at Japan’s border.
  • To understand the genetic variation, relatedness, and presence of pathogenic or antimicrobial resistance genes.
  • To explore possible links between bacterial genetics and clinical or subclinical disease manifestations in the horses.

Methodology

  • Whole genome sequencing was conducted on 19 S. equi isolates collected from horses imported into Japan.
  • Among these isolates, 15 were from horses with clinical strangles and 4 were from horses with subclinical infections.
  • Analyses included:
    • Core genome single nucleotide polymorphism (SNP) analysis to assess genetic differences.
    • Bayesian analysis of population structure (BAPS) to group isolates based on genetic similarity.
    • SeM typing, a molecular typing method based on the diversity of the SeM gene, which is important for classifying S. equi strains.
    • Screening for known pathogenic genes and antimicrobial resistance genes.

Results

  • The 19 S. equi isolates were clustered into three distinct groups (BAPS groups) based on their core genome SNP profiles.
  • These groups corresponded clearly to:
    • The exporting country of the horses.
    • SeM typing results.
    • The exporters themselves, indicating a relationship between bacterial populations and horse origin or source.
  • All isolates, regardless of whether they came from clinical or subclinical horses, possessed the same set of pathogenic genes.
  • No antimicrobial resistance genes were identified in any of the isolates, suggesting these bacterial populations remain susceptible to antibiotics.
  • The clinical status (presence or absence of symptoms) in horses may more likely depend on prior exposure and immune status rather than genetic differences in the bacterial strains.

Conclusions and Implications

  • Genomic data suggest that S. equi strains from imported horses are genetically grouped by their source country and exporter, reflecting importation pathways.
  • The uniform presence of pathogenic genes across isolates implies that strain genetics alone do not determine clinical disease manifestation.
  • The absence of antimicrobial resistance genes supports current treatment efficacy but indicates ongoing surveillance is necessary.
  • Subclinical carriers pose a risk for disease spread since they harbor bacteria genetically similar to those causing overt disease.
  • These findings highlight the importance of monitoring horse imports to prevent strangles outbreaks and inform disease control strategies.

Cite This Article

APA
Nakajima K, Kasuya K, Senba H, Tagami K, Kinoshita Y, Niwa H. (2024). Genetic analysis based on next generation sequencing of Streptococcus equi subsp. equi isolated from horses imported into Japan. J Vet Med Sci, 86(8), 828-832. https://doi.org/10.1292/jvms.23-0342

Publication

ISSN: 1347-7439
NlmUniqueID: 9105360
Country: Japan
Language: English
Volume: 86
Issue: 8
Pages: 828-832

Researcher Affiliations

Nakajima, Kei
  • Moji Branch Shinmoji Quarantine Facility, Animal Quarantine Service, MAFF, Fukuoka, Japan.
Kasuya, Kazufumi
  • Microbiological Examination Division, Laboratory Department, Animal Quarantine Service, MAFF, Kanagawa, Japan.
Senba, Hironobu
  • Pathological and Physiochemical Examination Division, Laboratory Department, Animal Quarantine Service, MAFF, Kanagawa, Japan.
Tagami, Katsunori
  • Moji Branch Shinmoji Quarantine Facility, Animal Quarantine Service, MAFF, Fukuoka, Japan.
Kinoshita, Yuta
  • Microbiology Division, Equine Research Institute, Japan Racing Association, Tochigi, Japan.
Niwa, Hidekazu
  • Microbiology Division, Equine Research Institute, Japan Racing Association, Tochigi, Japan.

MeSH Terms

  • Horses
  • Animals
  • Horse Diseases / microbiology
  • Japan
  • Streptococcal Infections / veterinary
  • Streptococcal Infections / microbiology
  • High-Throughput Nucleotide Sequencing / veterinary
  • Polymorphism, Single Nucleotide
  • Whole Genome Sequencing
  • Streptococcus / genetics
  • Streptococcus / isolation & purification
  • Streptococcus equi / genetics
  • Streptococcus equi / isolation & purification
  • Genome, Bacterial

Conflict of Interest Statement

The authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

References

This article includes 35 references
  1. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. 1990;215:403–410.
    doi: 10.1016/S0022-2836(05)80360-2pubmed: 2231712google scholar: lookup
  2. Anzai T, Kuwamoto Y, Wada R, Sugita S, Kakuda T, Takai S, Higuchi T, Timoney JF. Variation in the N-terminal region of an M-like protein of and evaluation of its potential as a tool in epidemiologic studies. 2005;66:2167–2171.
    doi: 10.2460/ajvr.2005.66.2167pubmed: 16379663google scholar: lookup
  3. Anzai T, Nakanishi A, Wada R, Higuchi T, Hagiwara S, Takazawa M, Oobayashi K, Inoue T. Isolation of subsp. from thoroughbred horses in a racehorse-breeding area of Japan. 1997;59:1031–1033.
    doi: 10.1292/jvms.59.1031pubmed: 9409520google scholar: lookup
  4. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. 2014;30:2114–2120.
  5. Boyle AG, Timoney JF, Newton JR, Hines MT, Waller AS, Buchanan BR. infections in horses: guidelines for treatment, control, and prevention of strangles–revised consensus statement. 2018;32:633–647.
    doi: 10.1111/jvim.15043pmc: PMC5867011pubmed: 29424487google scholar: lookup
  6. Chen L, Zheng D, Liu B, Yang J, Jin Q. VFDB 2016: hierarchical and refined dataset for big data analysis-10 years on. 2016;44D1:D694–D697.
    doi: 10.1093/nar/gkv1239pmc: PMC4702877pubmed: 26578559google scholar: lookup
  7. Clark C, Greenwood S, Boison JO, Chirino-Trejo M, Dowling PM. Bacterial isolates from equine infections in western Canada (1998-2003). 2008;49:153–160.
    pmc: PMC2216435pubmed: 18309745
  8. Croucher NJ, Page AJ, Connor TR, Delaney AJ, Keane JA, Bentley SD, Parkhill J, Harris SR. Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins. 2015;43:e15.
    doi: 10.1093/nar/gku1196pmc: PMC4330336pubmed: 25414349google scholar: lookup
  9. Duchesne R, Castagnet S, Maillard K, Petry S, Cattoir V, Giard JC, Leon A. In vitro antimicrobial susceptibility of equine clinical isolates from France, 2006-2016. 2019;19:144–153.
    doi: 10.1016/j.jgar.2019.03.006pubmed: 30880244google scholar: lookup
  10. Erol E, Locke SJ, Donahoe JK, Mackin MA, Carter CN. Beta-hemolyticn spp. from horses: a retrospective study (2000-2010). 2012;24:142–147.
    doi: 10.1177/1040638711434138pubmed: 22362945google scholar: lookup
  11. Harris SR, Robinson C, Steward KF, Webb KS, Paillot R, Parkhill J, Holden MTG, Waller AS. Genome specialization and decay of the strangles pathogen, , is driven by persistent infection. 2015;25:1360–1371.
    doi: 10.1101/gr.189803.115pmc: PMC4561494pubmed: 26160165google scholar: lookup
  12. Holden MTG, Heather Z, Paillot R, Steward KF, Webb K, Ainslie F, Jourdan T, Bason NC, Holroyd NE, Mungall K, Quail MA, Sanders M, Simmonds M, Willey D, Brooks K, Aanensen DM, Spratt BG, Jolley KA, Maiden MCJ, Kehoe M, Chanter N, Bentley SD, Robinson C, Maskell DJ, Parkhill J, Waller AS. Genomic evidence for the evolution of : host restriction, increased virulence, and genetic exchange with human pathogens. 2009;5:e1000346.
  13. Hulting G, Flock M, Frykberg L, Lannergård J, Flock JI, Guss B. Two novel IgG endopeptidases of .. 2009;298:44–50.
  14. Johns IC, Adams EL. Trends in antimicrobial resistance in equine bacterial isolates: 1999-2012. 2015;176:334.
    doi: 10.1136/vr.102708pubmed: 25628448google scholar: lookup
  15. Kasuya K, Tanaka N, Oshima F, Fujisawa N, Saito M, Tagami K, Niwa H, Sasai K. Genetic analysis of subsp. isolated from horses imported into Japan. 2019;81:924–927.
    doi: 10.1292/jvms.18-0656pmc: PMC6612491pubmed: 31019139google scholar: lookup
  16. Kelly C, Bugg M, Robinson C, Mitchell Z, Davis-Poynter N, Newton JR, Jolley KA, Maiden MCJ, Waller AS. Sequence variation of the SeM gene ofn allows discrimination of the source of stranglesnoutbreaks. 44: 480–486.
  17. Kumar S, Stecher G, Li M, Knyaz C, Tamura K. MEGA X: molecular evolutionary geneticsnanalysis across computing platforms. 35: 1547–1549.
    doi: 10.1093/molbev/msy096pmc: PMC5967553pubmed: 29722887google scholar: lookup
  18. Lidén Å, van Wieringen T, Lannergård J, Kassner A, Heinegård D, Reed RK, Guss B, Rubin K. A secreted collagen- andnfibronectin-binding streptococcal protein modulates cell-mediated collagen gelncontraction and interstitial fluid pressure. 283: 1234–1242.
    pubmed: 18003607
  19. Lindsay AM, Zhang M, Mitchell Z, Holden MTG, Waller AS, Sutcliffe IC, Black GW. The nprophage-encoded protein SEQ2045 is a hyaluronan-specific hyaluronate lyase that isnproduced during equine infection. 155: 443–449.
    doi: 10.1099/mic.0.020826-0pubmed: 19202092google scholar: lookup
  20. López-Álvarez MR, Salze M, Cenier A, Robinson C, Paillot R, Waller AS. Immunogenicity of phospholipasenA toxins and their role in Streptococcus equinpathogenicity. 204: 15–19.
    doi: 10.1016/j.vetmic.2017.04.002pubmed: 28532794google scholar: lookup
  21. McArthur AG, Waglechner N, Nizam F, Yan A, Azad MA, Baylay AJ, Bhullar K, Canova MJ, De Pascale G, Ejim L, Kalan L, King AM, Koteva K, Morar M, Mulvey MR, O’Brien JS, Pawlowski AC, Piddock LJ, Spanogiannopoulos P, Sutherland AD, Tang I, Taylor PL, Thaker M, Wang W, Yan M, Yu T, Wright GD. The comprehensive antibiotic resistancendatabase. 57: 3348–3357.
    doi: 10.1128/AAC.00419-13pmc: PMC3697360pubmed: 23650175google scholar: lookup
  22. Mitchell C, Steward KF, Charbonneau ARL, Walsh S, Wilson H, Timoney JF, Wernery U, Joseph M, Craig D, van Maanen K, Hoogkamer-van Gennep A, Leon A, Witkowski L, Rzewuska M, Stefańska I, Żychska M, van Loon G, Cursons R, Patty O, Acke E, Gilkerson JR, El-Hage C, Allen J, Bannai H, Kinoshita Y, Niwa H, Becú T, Pringle J, Guss B, Böse R, Abbott Y, Katz L, Leggett B, Buckley TC, Blum SE, Cruz López F, Fernández Ros A, Marotti Campi MC, Preziuso S, Robinson C, Newton JR, Schofield E, Brooke B, Boursnell M, de Brauwere N, Kirton R, Barton CK, Abudahab K, Taylor B, Yeats CA, Goater R, Aanensen DM, Harris SR, Parkhill J, Holden MTG, Waller AS. Globetrotting strangles: the unbridlednnational and international transmission of betweennhorses. 7: mgen000528.
    pmc: PMC8190609pubmed: 33684029
  23. Nakajima K, Kasuya K, Oshima F, Urushizaki S, Ukai H, Sumiyoshi R, Tagami K, Niwa H. Survey of subsp. in imported draft horses and SeM geneticnanalysis of isolates. 74: 636–639 (in Japanese).
  24. Paillot R, Robinson C, Steward K, Wright N, Jourdan T, Butcher N, Heather Z, Waller AS. Contribution of each of fournSuperantigens to -induced mitogenicity, gammaninterferon synthesis, and immunity. 78: 1728–1739.
    doi: 10.1128/IAI.01079-09pmc: PMC2849420pubmed: 20123710google scholar: lookup
  25. Prescott JF, Srivastava SK, deGannes R, Barnum DA. A mild form of strangles caused by annatypical . 180: 293–299.
    pubmed: 7056679
  26. Spanier JG, Timoney JF. Bacteriophages of . 35: 369–375.
    doi: 10.1099/0022-1317-35-2-369pubmed: 874460google scholar: lookup
  27. Swerczek TW. Exacerbation of (strangles) by overly nutritious diets in horses: a model for infectiousnbacterial diseases of horses and other livestock. 7: 18–23.
  28. Tart AH, Walker MJ, Musser JM. New understanding of the group AnStreptococcus pathogenesis cycle. 15: 318–325.
    doi: 10.1016/j.tim.2007.05.001pubmed: 17524649google scholar: lookup
  29. Timoney JF. Shedding and maintenance of in typical and atypical strangles. pp. 28–33.
  30. Timoney JF. The pathogenic equinenstreptococci. 35: 397–409.
    doi: 10.1051/vetres:2004025pubmed: 15236673google scholar: lookup
  31. Timoney JF, Yang J, Liu J, Merant C. IdeE reduces the bactericidal activitynof equine neutrophils for .. 122: 76–82.
    doi: 10.1016/j.vetimm.2007.10.017pubmed: 18077002google scholar: lookup
  32. Tiwari R, Qin A, Artiushin S, Timoney JF. Se18.9, an anti-phagocytic factor Hnbinding protein of .. 121: 105–115.
    doi: 10.1016/j.vetmic.2006.11.023pubmed: 17188435google scholar: lookup
  33. Tscheschlok L, Venner M, Steward K, Böse R, Riihimäki M, Pringle J. Decreased clinical severity ofnstrangles in weanlings associated with restricted seroconversion to optimizedn ssp assays. 32: 459–464.
    doi: 10.1111/jvim.15037pmc: PMC5787152pubmed: 29377359google scholar: lookup
  34. Velineni S, Timoney JF. Evidence for involvement of the FasnBCAX regulon in capsule synthesis by .. 219: 113–116.
    doi: 10.1016/j.vetmic.2018.04.015pubmed: 29778182google scholar: lookup
  35. Wattam AR, Abraham D, Dalay O, Disz TL, Driscoll T, Gabbard JL, Gillespie JJ, Gough R, Hix D, Kenyon R, Machi D, Mao C, Nordberg EK, Olson R, Overbeek R, Pusch GD, Shukla M, Schulman J, Stevens RL, Sullivan DE, Vonstein V, Warren A, Will R, Wilson MJC, Yoo HS, Zhang C, Zhang Y, Sobral BW. PATRIC, the bacterial bioinformaticsndatabase and analysis resource. 42: D581–D591.
    doi: 10.1093/nar/gkt1099pmc: PMC3965095pubmed: 24225323google scholar: lookup

Citations

This article has been cited 0 times.