Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jun 18;59(7):e0288920.
doi: 10.1128/JCM.02889-20. Epub 2021 Jun 18.

A Whole-Genome-Based Gene-by-Gene Typing System for Standardized High-Resolution Strain Typing of Bacillus anthracis

Affiliations

A Whole-Genome-Based Gene-by-Gene Typing System for Standardized High-Resolution Strain Typing of Bacillus anthracis

Mostafa Y Abdel-Glil et al. J Clin Microbiol. .

Abstract

Whole-genome sequencing (WGS) has been established for bacterial subtyping and is regularly used to study pathogen transmission, to investigate outbreaks, and to perform routine surveillance. Core-genome multilocus sequence typing (cgMLST) is a bacterial subtyping method that uses WGS data to provide a high-resolution strain characterization. This study aimed at developing a novel cgMLST scheme for Bacillus anthracis, a notorious pathogen that causes anthrax in livestock and humans worldwide. The scheme comprises 3,803 genes that were conserved in 57 B. anthracis genomes spanning the whole phylogeny. The scheme has been evaluated and applied to 584 genomes from 50 countries. On average, 99.5% of the cgMLST targets were detected. The cgMLST results confirmed the classical canonical single-nucleotide-polymorphism (SNP) grouping of B. anthracis into major clades and subclades. Genetic distances calculated based on cgMLST were comparable to distances from whole-genome-based SNP analysis with similar phylogenetic topology and comparable discriminatory power. Additionally, the application of the cgMLST scheme to anthrax outbreaks from Germany and Italy led to a definition of a cutoff threshold of five allele differences to trace epidemiologically linked strains for cluster typing and transmission analysis. Finally, the association of two clusters of B. anthracis with human cases of injectional anthrax in four European countries was confirmed using cgMLST. In summary, this study presents a novel cgMLST scheme that provides high-resolution strain genotyping for B. anthracis. This scheme can be used in parallel with SNP typing methods to facilitate rapid and harmonized interlaboratory comparisons, essential for global surveillance and outbreak analysis. The scheme is publicly available for application by users, including those with little bioinformatics knowledge.

Keywords: Bacillus anthracis; canonical SNP; cgMLST; genome typing; whole-genome typing.

PubMed Disclaimer

Figures

FIG 1
FIG 1
Phylogenetic analysis and geographical origin distribution of global B. anthracis genomes. (A) Comparison between the neighbor-joining tree (left) and maximum likelihood tree (right) constructed for the 584 genomes based on the pairwise allelic distances, ignoring untypeable genes and whole-genome SNPs after filtering regions with high SNP density using Gubbins, respectively. Tree visualizations were performed using iTOL. (B) Geographical origin distribution of 584 B. anthracis genomes used in the evaluation of the core-genome MLST. The updated canonical SNPs groups from Sahl et al. (20) were added and color coded.
FIG 2
FIG 2
Geographical origin distribution (A) and a minimum-spanning tree (B) illustrating the last three anthrax outbreaks that occurred in cattle populations in Germany. Each node represents a unique cgMLST allele profile. Colored nodes represent the location of isolation. Numbers on connecting lines refer to the number of different alleles. Previously published genomes are marked with a star (*).
FIG 3
FIG 3
Geographical origin distribution (A) and minimum-spanning tree (B) illustrating 35 distinct spatiotemporal anthrax outbreaks that occurred in Italy. Each node represents a unique cgMLST allele profile. Colored nodes represent the city of isolation, while node labels correspond to different MLVA profiles. Numbers on connecting lines refer to the number of different alleles. (C) Phylogenetic analysis of the strains using a neighbor-joining tree based on the whole-genome SNP data.
FIG 4
FIG 4
Geographical origin distribution (A) and minimum-spanning tree (B) illustrating 57 B. anthracis strains from human cases (heroin users) with injectional anthrax in four different European countries. Each node represents a unique cgMLST allele profile. The sizes of the nodes represent the number of isolates. Colored nodes represent the different clusters identified based on whole-genome SNPs and cgMLST. Numbers on connecting lines refer to the numbers of different alleles. cgMLST profiles with less than five different alleles to the central genotype are shaded.

References

    1. Fasanella A. 2013. Bacillus anthracis, virulence factors, PCR, and interpretation of results. Virulence 4:659–660. 10.4161/viru.26517. - DOI - PMC - PubMed
    1. Riedel S. 2005. Anthrax: a continuing concern in the era of bioterrorism. Baylor Univ Med Center Proc 18:234–243. 10.1080/08998280.2005.11928074. - DOI - PMC - PubMed
    1. Mwakapeje ER, Høgset S, Fyumagwa R, Nonga HE, Mdegela RH, Skjerve E. 2018. Anthrax outbreaks in the humans—livestock and wildlife interface areas of northern Tanzania: a retrospective record review 2006–2016. BMC Public Health 18:106–106. 10.1186/s12889-017-5007-z. - DOI - PMC - PubMed
    1. Hicks CW, Sweeney DA, Cui X, Li Y, Eichacker PQ. 2012. An overview of anthrax infection including the recently identified form of disease in injection drug users. Intensive Care Med 38:1092–1104. 10.1007/s00134-012-2541-0. - DOI - PMC - PubMed
    1. Pilo P, Frey J. 2018. Pathogenicity, population genetics and dissemination of Bacillus anthracis. Infect Genet Evol 64:115–125. 10.1016/j.meegid.2018.06.024. - DOI - PubMed

LinkOut - more resources