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Anthrax molecular epidemiology and forensics: using the appropriate marker for different evolutionary scales
Paul Keim1, Matthew N Van Ert, Talima Pearson
1Keim Genetics Laboratory, Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ 86011-5640, USA. paul.keim@nau.edu
Summary
Precise identification of Bacillus anthracis strains is vital for anthrax investigations. This study introduces a novel genomic approach using canonical single nucleotide polymorphisms (canSNPs) for highly accurate strain discrimination.
Area of Science:
- Genetics
- Microbiology
- Bioforensics
Background:
- Bacillus anthracis strain identification is critical for forensic and epidemiological analyses.
- Limited molecular variation among B. anthracis isolates necessitates the use of rare genetic variations for precise strain typing.
- Mutation is the primary driver of diversity in clonal pathogens like B. anthracis.
Purpose of the Study:
- To develop a precise and efficient method for subtyping Bacillus anthracis isolates.
- To leverage single nucleotide polymorphisms (SNPs) as stable phylogenetic markers for bacterial identification.
- To establish a hierarchical approach for discriminating closely related B. anthracis strains.
Main Methods:
- Utilized whole genome discovery to identify rare single nucleotide polymorphisms (SNPs).
- Selected diagnostic "Canonical SNPs" (canSNPs) at key phylogenetic positions.
- Developed a nested hierarchical strategy called Progressive Hierarchical Resolving Assays using Nucleic Acids (PHRANA) for tiered strain resolution.
Main Results:
- Identified rare SNPs as effective markers for B. anthracis subtyping.
- Demonstrated the utility of canSNPs for efficient and defining diagnostic assays.
- PHRANA successfully provided both deep phylogenetic insights and high-resolution discrimination among closely related isolates.
Conclusions:
- The PHRANA strategy offers a robust method for B. anthracis strain identification, applicable to various pathogens.
- This nested hierarchical approach mitigates data weighting issues and enhances phylogenetic accuracy.
- canSNPs and the PHRANA method significantly improve the precision of forensic and epidemiological analyses of anthrax cases.