Literature DB >> 34524891

Genomic Epidemiology and Strain Taxonomy of Corynebacterium diphtheriae.

Julien Guglielmini1, Melanie Hennart2,3, Edgar Badell2,4, Julie Toubiana2,4,5, Alexis Criscuolo1, Sylvain Brisse2,4.   

Abstract

Corynebacterium diphtheriae is highly transmissible and can cause large diphtheria outbreaks where vaccination coverage is insufficient. Sporadic cases or small clusters are observed in high-vaccination settings. The phylogeography and short timescale evolution of C. diphtheriae are not well understood, in part due to a lack of harmonized analytical approaches of genomic surveillance and strain tracking. We combined 1,305 genes with highly reproducible allele calls into a core genome multilocus sequence typing (cgMLST) scheme. We analyzed cgMLST gene diversity among 602 isolates from sporadic clinical cases, small clusters, or large outbreaks. We defined sublineages based on the phylogenetic structure within C. diphtheriae and strains based on the highest number of cgMLST mismatches within documented outbreaks. We performed time-scaled phylogenetic analyses of major sublineages. The cgMLST scheme showed high allele call rate in C. diphtheriae and the closely related species C. belfantii and C. rouxii. We demonstrate its utility to delineate epidemiological case clusters and outbreaks using a 25 mismatches threshold and reveal a number of cryptic transmission chains, most of which are geographically restricted to one or a few adjacent countries. Subcultures of the vaccine strain PW8 differed by up to 20 cgMLST mismatches. Phylogenetic analyses revealed a short-timescale evolutionary gain or loss of the diphtheria toxin and biovar-associated genes. We devised a genomic taxonomy of strains and deeper sublineages (defined using a 500-cgMLST-mismatch threshold), currently comprising 151 sublineages, only a few of which are geographically widespread based on current sampling. The cgMLST genotyping tool and nomenclature was made publicly accessible (https://bigsdb.pasteur.fr/diphtheria). Standardized genome-scale strain genotyping will help tracing transmission and geographic spread of C. diphtheriae. The unified genomic taxonomy of C. diphtheriae strains provides a common language for studies of ecology, evolution, and virulence heterogeneity among C. diphtheriae sublineages.

Entities:  

Keywords:  cgMLST; diphtheria; epidemiology; genomic epidemiology; genomics; microevolution

Mesh:

Year:  2021        PMID: 34524891      PMCID: PMC8601238          DOI: 10.1128/JCM.01581-21

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  53 in total

Review 1.  Successful control of epidemic diphtheria in the states of the Former Union of Soviet Socialist Republics: lessons learned.

Authors:  S Dittmann; M Wharton; C Vitek; M Ciotti; A Galazka; S Guichard; I Hardy; U Kartoglu; S Koyama; J Kreysler; B Martin; D Mercer; T Rønne; C Roure; R Steinglass; P Strebel; R Sutter; M Trostle
Journal:  J Infect Dis       Date:  2000-02       Impact factor: 5.226

2.  International nomenclature for Corynebacterium diphtheriae ribotypes.

Authors:  Patrick A D Grimont; Francine Grimont; Androulla Efstratiou; Aruni De Zoysa; Izabella Mazurova; Corinne Ruckly; Monique Lejay-Collin; Sylvie Martin-Delautre; Béatrice Regnault
Journal:  Res Microbiol       Date:  2004-04       Impact factor: 3.992

Review 3.  Microbial diversity and the genetic nature of microbial species.

Authors:  Mark Achtman; Michael Wagner
Journal:  Nat Rev Microbiol       Date:  2008-05-07       Impact factor: 60.633

4.  Outbreak investigation for toxigenic Corynebacterium diphtheriae wound infections in refugees from Northeast Africa and Syria in Switzerland and Germany by whole genome sequencing.

Authors:  D M Meinel; R Kuehl; R Zbinden; V Boskova; C Garzoni; D Fadini; M Dolina; B Blümel; T Weibel; S Tschudin-Sutter; A F Widmer; J A Bielicki; A Dierig; U Heininger; R Konrad; A Berger; V Hinic; D Goldenberger; A Blaich; T Stadler; M Battegay; A Sing; A Egli
Journal:  Clin Microbiol Infect       Date:  2016-08-30       Impact factor: 8.067

5.  MAFFT multiple sequence alignment software version 7: improvements in performance and usability.

Authors:  Kazutaka Katoh; Daron M Standley
Journal:  Mol Biol Evol       Date:  2013-01-16       Impact factor: 16.240

6.  Molecular and Epidemiological Characterization of Toxigenic and Nontoxigenic Corynebacterium diphtheriae, Corynebacterium belfantii, Corynebacterium rouxii, and Corynebacterium ulcerans Isolates Identified in Spain from 2014 to 2019.

Authors:  Andreas Hoefer; Despina Pampaka; Silvia Herrera-León; Sonia Peiró; Sarai Varona; Noemí López-Perea; Josefa Masa-Calles; Laura Herrera-León
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

7.  Assessing the Genetic Diversity of Austrian Corynebacterium diphtheriae Clinical Isolates, 2011 to 2019.

Authors:  Justine Schaeffer; Steliana Huhulescu; Anna Stoeger; Franz Allerberger; Werner Ruppitsch
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

8.  Fast Dating Using Least-Squares Criteria and Algorithms.

Authors:  Thu-Hien To; Matthieu Jung; Samantha Lycett; Olivier Gascuel
Journal:  Syst Biol       Date:  2015-09-30       Impact factor: 15.683

Review 9.  Whole Genome Sequencing for Surveillance of Diphtheria in Low Incidence Settings.

Authors:  Helena M B Seth-Smith; Adrian Egli
Journal:  Front Public Health       Date:  2019-08-21

10.  NGS-based phylogeny of diphtheria-related pathogenicity factors in different Corynebacterium spp. implies species-specific virulence transmission.

Authors:  Alexandra Dangel; Anja Berger; Regina Konrad; Andreas Sing
Journal:  BMC Microbiol       Date:  2019-02-01       Impact factor: 3.605

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.