1887

Abstract

is an important food-borne human pathogen and presents immunogenic surface polysaccharides, which can be used to distinguish problematic and disease-causing lineages. is divided in 16 O-serotypes (O-antigen) and 71 K-serotypes (K-antigen). Agglutination tests are still the gold standard for serotyping, but many isolates are not typable by agglutination. An alternative for agglutination tests is genotyping using whole-genome sequencing data, by which K- and O- genotypes have been curated and identified previously for other clinically relevant organisms with the software tool . In this study, isolates were serotyped and sequenced, and all known and several novel O- and K-loci were identified. We developed databases for all O- and K-loci after manual curation of the loci. In our study, we could genotype the O- and K-loci of 98 and 93 % of the genomes, respectively, with a confidence score higher than ‘none’. The newly developed databases with the identified O- and K-loci can be used to identify the O- and K-genotypes of isolates from genome sequences.

Funding
This study was supported by the:
  • 2018ZX10305409-003 (Award 2018ZX10305409-003)
    • Principle Award Recipient: HongyouChen
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License.
Loading

Article metrics loading...

/content/journal/mgen/10.1099/mgen.0.001007
2023-05-02
2024-10-12
Loading full text...

Full text loading...

/deliver/fulltext/mgen/9/5/mgen001007.html?itemId=/content/journal/mgen/10.1099/mgen.0.001007&mimeType=html&fmt=ahah

References

  1. Chen M, Guo D, Wong H-C, Zhang X, Liu F et al. Development of O-serogroup specific PCR assay for detection and identification of Vibrio parahaemolyticus. Int J Food Microbiol 2012; 159:122–129 [View Article] [PubMed]
    [Google Scholar]
  2. Guo X, Liu B, Chen M, Wang Y, Wang L et al. Genetic and serological identification of three Vibrio parahaemolyticus strains as candidates for novel provisional O serotypes. Int J Food Microbiol 2017; 245:53–58 [View Article] [PubMed]
    [Google Scholar]
  3. Jones JL, Lüdeke CHM, Bowers JC, Garrett N, Fischer M et al. Biochemical, serological, and virulence characterization of clinical and oyster Vibrio parahaemolyticus isolates. J Clin Microbiol 2012; 50:2343–2352 [View Article] [PubMed]
    [Google Scholar]
  4. Nair GB, Ramamurthy T, Bhattacharya SK, Dutta B, Takeda Y et al. Global dissemination of Vibrio parahaemolyticus serotype O3:K6 and its serovariants. Clin Microbiol Rev 2007; 20:39–48 [View Article] [PubMed]
    [Google Scholar]
  5. Gavilan RG, Zamudio ML, Martinez-Urtaza J. Molecular epidemiology and genetic variation of pathogenic Vibrio parahaemolyticus in Peru. PLoS Negl Trop Dis 2013; 7:e2210 [View Article] [PubMed]
    [Google Scholar]
  6. Gil AI, Miranda H, Lanata CF, Prada A, Hall ER et al. O3:K6 Serotype of Vibrio parahaemolyticus identical to the global pandemic clone associated with diarrhea in Peru. Int J Infect Dis 2007; 11:324–328 [View Article] [PubMed]
    [Google Scholar]
  7. Hashii N, Kondo S, Iguchi T, Nishibuchi M, Hisatsune K. Chemical and serological properties of lipopolysaccharides from Vibrio parahaemolyticus O-untypeable strains isolated from patients. Microbiol Immunol 2000; 44:229–234 [View Article] [PubMed]
    [Google Scholar]
  8. Wang Q, Ruan X, Wei D, Hu Z, Wu L et al. Development of a serogroup-specific multiplex PCR assay to detect a set of Escherichia coli serogroups based on the identification of their O-antigen gene clusters. Mol Cell Probes 2010; 24:286–290 [View Article] [PubMed]
    [Google Scholar]
  9. Albert MJ, Islam D, Nahar S, Qadri F, Falklind S et al. Rapid detection of Vibrio cholerae O139 Bengal from stool specimens by PCR. J Clin Microbiol 1997; 35:1633–1635 [View Article] [PubMed]
    [Google Scholar]
  10. Hoshino K, Yamasaki S, Mukhopadhyay AK, Chakraborty S, Basu A et al. Development and evaluation of a multiplex PCR assay for rapid detection of toxigenic Vibrio cholerae O1 and O139. FEMS Immunol Med Microbiol 1998; 20:201–207 [View Article] [PubMed]
    [Google Scholar]
  11. Wyres KL, Wick RR, Gorrie C, Jenney A, Follador R et al. Identification of Klebsiella capsule synthesis loci from whole genome data. Microb Genom 2016; 2:e000102 [View Article] [PubMed]
    [Google Scholar]
  12. Okura M, Osawa R, Tokunaga A, Morita M, Arakawa E et al. Genetic analyses of the putative O and K antigen gene clusters of pandemic Vibrio parahaemolyticus. Microbiol Immunol 2008; 52:251–264 [View Article] [PubMed]
    [Google Scholar]
  13. Chen Y, Dai J, Morris JG, Johnson JA. Genetic analysis of the capsule polysaccharide (K antigen) and exopolysaccharide genes in pandemic Vibrio parahaemolyticus O3:K6. BMC Microbiol 2010; 10:274 [View Article] [PubMed]
    [Google Scholar]
  14. Bian S, Jia Y, Zhan Q, Wong N-K, Hu Q et al. VPsero: rapid serotyping of Vibrio parahaemolyticus using serogroup-specific genes based on whole-genome sequencing data. Front Microbiol 2021; 12:620224 [View Article] [PubMed]
    [Google Scholar]
  15. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 2012; 19:455–477 [View Article] [PubMed]
    [Google Scholar]
  16. Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 2015; 25:1043–1055 [View Article] [PubMed]
    [Google Scholar]
  17. Wattam AR, Abraham D, Dalay O, Disz TL, Driscoll T et al. PATRIC, the bacterial bioinformatics database and analysis resource. Nucleic Acids Res 2014; 42:D581–D591 [View Article] [PubMed]
    [Google Scholar]
  18. Allard G, Ryan FJ, Jeffery IB, Claesson MJ. SPINGO: a rapid species-classifier for microbial amplicon sequences. BMC Bioinformatics 2015; 16:324 [View Article] [PubMed]
    [Google Scholar]
  19. Hasman H, Saputra D, Sicheritz-Ponten T, Lund O, Svendsen CA et al. Rapid whole-genome sequencing for detection and characterization of microorganisms directly from clinical samples. J Clin Microbiol 2014; 52:139–146 [View Article]
    [Google Scholar]
  20. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics 2014; 30:2068–2069 [View Article] [PubMed]
    [Google Scholar]
  21. Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S et al. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics 2015; 31:3691–3693 [View Article] [PubMed]
    [Google Scholar]
  22. Xie Z, Tang H. ISEScan: automated identification of insertion sequence elements in prokaryotic genomes. Bioinformatics 2017; 33:3340–3347 [View Article] [PubMed]
    [Google Scholar]
  23. Treangen TJ, Ondov BD, Koren S, Phillippy AM. The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes. Genome Biol 2014; 15:524 [View Article] [PubMed]
    [Google Scholar]
  24. 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]
  25. Price MN, Dehal PS, Arkin AP. FastTree 2 – approximately maximum-likelihood trees for large alignments. PLoS One 2010; 5:e9490 [View Article] [PubMed]
    [Google Scholar]
  26. Letunic I, Bork P. Interactive Tree Of Life (iTOL): an online tool for phylogenetic tree display and annotation. Bioinformatics 2007; 23:127–128 [View Article] [PubMed]
    [Google Scholar]
  27. Jolley KA, Maiden MCJ. BIGSdb: scalable analysis of bacterial genome variation at the population level. BMC Bioinformatics 2010; 11:595 [View Article] [PubMed]
    [Google Scholar]
  28. Gilchrist CLM, Chooi Y-H. Clinker & clustermap.js: automatic generation of gene cluster comparison figures. Bioinformatics 2021; 37:2473–2475 [View Article] [PubMed]
    [Google Scholar]
  29. Lehane AM, Korres H, Verma NK. Bacteriophage-encoded glucosyltransferase GtrII of Shigella flexneri: membrane topology and identification of critical residues. Biochem J 2005; 389:137–143 [View Article] [PubMed]
    [Google Scholar]
  30. Wick RR, Schultz MB, Zobel J, Holt KE. Bandage: interactive visualization of de novo genome assemblies. Bioinformatics 2015; 31:3350–3352 [View Article] [PubMed]
    [Google Scholar]
/content/journal/mgen/10.1099/mgen.0.001007
Loading
/content/journal/mgen/10.1099/mgen.0.001007
Loading

Data & Media loading...

Supplements

Supplementary material 1

EXCEL

Supplementary material 2

PDF
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