Genome-Wide Single Nucleotide Polymorphism Typing Method for Identification of <i>Bacillus anthracis</i> Species and Strains among <i>B. cereus</i> Group Species

Makoto Kuroda, Masakuni Serizawa, Akiko Okutani(National Institute of Infectious Diseases), Tsuyoshi Sekizuka, Satomi Banno, Satoshi Inoue(National Institute of Infectious Diseases)
Journal of Clinical Microbiology
June 17, 2010
Cited by 45Open Access
Full Text

Abstract

As an issue of biosecurity, species-specific genetic markers have been well characterized. However, Bacillus anthracis strain-specific information is currently not sufficient for traceability to identify the origin of the strain. By using genome-wide screening using short read mapping, we identified strain-specific single nucleotide polymorphisms (SNPs) among B. anthracis strains including Japanese isolates, and we further developed a simplified 80-tag SNP typing method for the primary investigation of traceability. These 80-tag SNPs were selected from 2,965 SNPs on the chromosome and the pXO1 and pXO2 plasmids from a total of 19 B. anthracis strains, including the available genome sequences of 17 strains in the GenBank database and 2 Japanese isolates that were sequenced in this study. Phylogenetic analysis based on 80-tag SNP typing showed a higher resolution power to discriminate 12 Japanese isolates rather than the 25 loci identified by multiple-locus variable-number tandem-repeat analysis (MLVA). In addition, the 80-tag PCR testing enabled the discrimination of B. anthracis from other B. cereus group species, helping to identify whether a suspected sample originates from the intentional release of a bioterrorism agent or environmental contamination with a virulent agent. In conclusion, 80-tag SNP typing can be a rapid and sufficient test for the primary investigation of strain origin. Subsequent whole-genome sequencing will reveal apparent strain-specific genetic markers for traceability of strains following an anthrax outbreak.


Related Papers

No related papers found

Powered by citation graph analysis