1887

Abstract

During a study on the prevalence and diversity of members of the genus r in a shellfish-harvesting area and its catchment in Brittany, France, six urease-positive isolates of members of the genus were recovered from surface water samples, as well as three isolates from stools of humans displaying enteric infection in the same period. These strains were initially identified as members of the group by MALDI-TOF mass spectrometry and placed into a distinct group in the genus , following gene sequence analysis based on whole-genome sequencing data. This taxonomic position was confirmed by phylogenetic analysis of the 16S rRNA, and () loci, and an analysis of the core genome that provided an improved phylogenetic resolution. The average nucleotide identity between the representative strain CA656 (CCUG 73571=CIP 111675) and the type strain of the most closely related species WBE38 was 88.5 %. The strains were found to be microaerobic and anaerobic, motile, non-spore-forming, Gram-stain-negative, spiral-shaped bacteria that exhibit catalase, oxidase and urease activities but not nitrate reduction. This study demonstrates clearly that the nine isolates represent a novel species within the group, for which the name is proposed. Here, we present phenotypic and morphological features of the nine strains and the description of their genome sequences. The proposed type strain CA656 has a 1.589 Mbp chromosome with a DNA G+C content of 28.5 mol% and encodes 1588 predicted coding sequences, 38 tRNAs, and 3 rRNA operons.

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2019-12-01
2024-04-18
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References

  1. Pitkanen T, Hanninen ML. Members of the family Campylobacteraceae. Campylobacter jejuni, Campylobacter coli . In Rose JB, Jiménez-Cisneros B, Pruden NA, Miller J. (editors) Global Water Pathogen Project E. Lansing, MI, UNESCO: Michigan State University; 2017
    [Google Scholar]
  2. EFSA EFSA and ECDC (European food safety authority and European centre for disease prevention and control). The European Union summary report on trends and sources of zoonoses, zoonotic agents and food-borne outbreaks in 2017. EFSA Journal 2018; 16:5500–5262p
    [Google Scholar]
  3. Thépault A, Méric G, Rivoal K, Pascoe B, Mageiros L et al. Genome-wide identification of host-segregating epidemiological markers for source attribution in Campylobacter jejuni . Appl Environ Microbiol 2017; 83: [View Article]
    [Google Scholar]
  4. Jones K. Campylobacters in water, sewage and the environment. J Appl Microbiol 2001; 90:68S–79 [View Article]
    [Google Scholar]
  5. Pitkänen T. Review of Campylobacter spp. in drinking and environmental waters. J Microbiol Methods 2013; 95:39–47 [View Article]
    [Google Scholar]
  6. Gölz G, Rosner B, Hofreuter D, Josenhans C, Kreienbrock L et al. Relevance of Campylobacter to public health-the need for a one health approach. Int J Med Microbiol 2014; 304:817–823 [View Article]
    [Google Scholar]
  7. Miller WG, Yee E, Chapman MH, Smith TPL, Bono JL et al. Comparative genomics of the Campylobacter lari group. Genome Biol Evol 2014; 6:3252–3266 [View Article]
    [Google Scholar]
  8. Jardé E, Jeanneau L, Harrault L, Quenot E, Solecki O et al. Application of a microbial source tracking based on bacterial and chemical markers in headwater and coastal catchments. Sci Total Environ 2018; 610-611:55–63 [View Article]
    [Google Scholar]
  9. Rincé A, Balière C, Hervio-Heath D, Cozien J, Lozach S et al. Occurrence of bacterial pathogens and human noroviruses in shellfish-harvesting areas and their catchments in France. Front Microbiol 2018; 9:2443 [View Article]
    [Google Scholar]
  10. Leblanc-Maridor M, Garénaux A, Beaudeau F, Chidaine B, Seegers H et al. Quantification of Campylobacter spp. in pig feces by direct real-time PCR with an internal control of extraction and amplification. J Microbiol Methods 2011; 85:53–61 [View Article]
    [Google Scholar]
  11. SLW On, Miller WG, Houf K, Fox JG, Vandamme P. Minimal standards for describing new species belonging to the families Campylobacteraceae and Helicobacteraceae: Campylobacter, Arcobacter, Helicobacter and Wolinella spp. Int J Syst Evol Microbiol 2017; 67:5296–5311 [View Article]
    [Google Scholar]
  12. Sifré E, Salha BA, Ducournau A, Floch P, Chardon H et al. EUCAST recommendations for antimicrobial susceptibility testing applied to the three main Campylobacter species isolated in humans. J Microbiol Methods 2015; 119:206–213 [View Article]
    [Google Scholar]
  13. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 2014; 30:2114–2120 [View Article]
    [Google Scholar]
  14. Andrews S. 2010; FastQC: a quality control tool for high throughput sequence data. available online. http://www.bioinformatics.babraham.ac.uk/projects/fastqc/
  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]
    [Google Scholar]
  16. 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]
    [Google Scholar]
  17. Gurevich A, Saveliev V, Vyahhi N, Tesler G. QUAST: quality assessment tool for genome assemblies. Bioinformatics 2013; 29:1072–1075 [View Article]
    [Google Scholar]
  18. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics 2014; 30:2068–2069 [View Article]
    [Google Scholar]
  19. Kumar S, Stecher G, Li M, Knyaz C, Tamura K. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol 2018; 35:1547–1549 [View Article]
    [Google Scholar]
  20. 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]
    [Google Scholar]
  21. Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol 2015; 32:268–274 [View Article]
    [Google Scholar]
  22. 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]
    [Google Scholar]
  23. Minh BQ, Nguyen MAT, von Haeseler A. Ultrafast approximation for phylogenetic bootstrap. Mol Biol Evol 2013; 30:1188–1195 [View Article]
    [Google Scholar]
  24. Auch AF, von Jan M, Klenk HP, Göker M. Digital DNA–DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison. Stand Genomic Sci 2010; 2:117–134 [View Article]
    [Google Scholar]
  25. Konstantinidis KT, Tiedje JM. Genomic insights that advance the species definition for prokaryotes. Proc Natl Acad Sci U S A 2005; 102:2567–2572 [View Article]
    [Google Scholar]
  26. Pritchard L. 2017; PYANI : Python module for average nucleotide identity analyses. https://github.com/widdowquinn/pyani/releases/tag/v0.2.7
  27. Pritchard L, Glover RH, Humphris S, Elphinstone JG, Toth IK. Genomics and taxonomy in diagnostics for food security: soft-rotting enterobacterial plant pathogens. Analytical Methods 2016; 8:12–24 [View Article]
    [Google Scholar]
  28. Meier-Kolthoff JP, Auch AF, Klenk HP, Göker M. Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinformatics 2013; 14:60 [View Article]
    [Google Scholar]
  29. Seemann T. 2018; Abricate: mass screening of contigs for antimicrobial and virulence genes. https://github.com/tseemann/abricate
  30. Chen L, Zheng D, Liu B, Yang J, Jin Q. VFDB 2016: hierarchical and refined dataset for big data analysis—10 years on. Nucleic Acids Res 2016; 44:D694–D697 [View Article]
    [Google Scholar]
  31. Bolton DJ. Campylobacter virulence and survival factors. Food Microbiol 2015; 48:99–108 [View Article]
    [Google Scholar]
  32. Lin J, Akiba M, Sahin O, Zhang Q. Cmer functions as a transcriptional repressor for the multidrug efflux pump CmeABC in Campylobacter jejuni . Antimicrob Agents Chemother 2005; 49:1067–1075 [View Article]
    [Google Scholar]
  33. Lin J, Michel LO, Zhang Q. CmeABC functions as a multidrug efflux system in Campylobacter jejuni . Antimicrob Agents Chemother 2002; 46:2124–2131 [View Article]
    [Google Scholar]
  34. Hwang S, Zhang Q, Ryu S, Jeon B. Transcriptional regulation of the CmeABC multidrug efflux pump and the katA catalase by CosR in Campylobacter jejuni . J Bacteriol 2012; 194:6883–6891 [View Article]
    [Google Scholar]
  35. Kobayashi N, Nishino K, Yamaguchi A. Novel macrolide-specific ABC-type efflux transporter in Escherichia coli. J Bacteriol 2001; 183:5639–5644
    [Google Scholar]
  36. Manavathu EK, Hiratsuka K, Taylor DE. Nucleotide sequence analysis and expression of a tetracycline-resistance gene from Campylobacter jejuni . Gene 1988; 62:17–26 [View Article]
    [Google Scholar]
  37. Alfredson DA, Korolik V. Isolation and expression of a novel molecular class D beta-lactamase, OXA-61, from Campylobacter jejuni . Antimicrob Agents Chemother 2005; 49:2515–2518 [View Article]
    [Google Scholar]
  38. Qin S, Wang Y, Zhang Q, Chen X, Shen Z et al. Identification of a novel genomic island conferring resistance to multiple aminoglycoside antibiotics in Campylobacter coli . Antimicrob Agents Chemother 2012; 56:5332–5339 [View Article]
    [Google Scholar]
  39. Payot S, Bolla J-M, Corcoran D, Fanning S, Mégraud F et al. Mechanisms of fluoroquinolone and macrolide resistance in Campylobacter spp. Microbes Infect 2006; 8:1967–1971 [View Article]
    [Google Scholar]
  40. Wang Y, Huang WM, Taylor DE. Cloning and nucleotide sequence of the Campylobacter jejuni gyrA gene and characterization of quinolone resistance mutations. Antimicrob Agents Chemother 1993; 37:457–463 [View Article]
    [Google Scholar]
  41. Ladely SR, Meinersmann RJ, Englen MD, Fedorka-Cray PJ, Harrison MA. 23S rRNA gene mutations contributing to macrolide resistance in Campylobacter jejuni and Campylobacter coli . Foodborne Pathog Dis 2009; 6:91–98 [View Article]
    [Google Scholar]
  42. Dubois D, Leyssene D, Chacornac JP, Kostrzewa M, Schmit PO et al. Identification of a Variety of Staphylococcus species by matrix-assisted laser desorption ionization-time of flight mass spectrometry. J Clin Microbiol 2010; 48:941–945 [View Article]
    [Google Scholar]
  43. Benejat L, Gravet A, Sifré E, Ben Amor S, Quintard B et al. Characterization of a Campylobacter fetus-like strain isolated from the faeces of a sick leopard tortoise (Stigmochelys pardalis) using matrix-assisted laser desorption/ionization time of flight as an alternative to bacterial 16S rDNA phylogeny. Lett Appl Microbiol 2014; 58:338–343 [View Article]
    [Google Scholar]
  44. Bessède E, Solecki O, Sifré E, Labadi L, Mégraud F. Identification of Campylobacter species and related organisms by matrix assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry. Clin Microbiol Infect 2011; 17:1735–1739 [View Article]
    [Google Scholar]
  45. Gilbert MJ, Zomer AL, Timmerman AJ, Spaninks MP, Rubio-García A et al. Campylobacter blaseri sp. nov., isolated from common seals (Phoca vitulina). Int J Syst Evol Microbiol 2018; 68:1787–1794 [View Article]
    [Google Scholar]
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