4.4 Review

Anthrax molecular epidemiology and forensics: using the appropriate marker for different evolutionary scales

Journal

INFECTION GENETICS AND EVOLUTION
Volume 4, Issue 3, Pages 205-213

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.meegid.2004.02.005

Keywords

Anthrax; Bacillus anthracis; Bioterrorism; Canonical SNPs; canSNPs; Microbial forensics; MLVA; PHRANA; SNPs; SNR

Funding

  1. National Institutes of Health-General Medical Sciences
  2. Department of Energy-Chem Bio Non Proliferation program
  3. National Science Foundation
  4. Cowden Endowment for Microbiology

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Precise identification of Bacillus anthracis isolates has aided forensic and epidemiological analyses of natural anthrax cases, bioterrorism acts and industrial scale accidents by state-sponsored bioweapons programs. Because there is little molecular variation among B. anthracis isolates, identifying and using rare variation is crucial for precise strain identification. We think that mutation is the primary diversifying force in a clonal, recently emerged pathogen, such as B. anthracis, since mutation rate is correlated with diversity on a per locus basis. While single nucleotide polymorphisms (SNPs) are rare, their detection is facilitated by whole genome discovery approaches. As highly stable phylogenetic markers, SNPs are useful for identifying long branches or key phylogenetic positions. Selection of single, diagnostic Canonical SNPs (canSNPs) for these phylogenetic positions allows for efficient and defining assays. We have taken a nested hierarchal strategy for subtyping B. anthracis, which is consistent with traditional diagnostics and applicable to a wide range of pathogens. Progressive hierarchical resolving assays using nucleic acids (PHRANA) uses a progression of diagnostic genomic loci that are initially highly stable but with low resolution and, ultimately, very unstable but with high resolution. This approach mitigates the need for data weighting and provides both a deeply rooted phylogenetic hypothesis and high resolution discrimination among closely related isolates. (C) 2004 Elsevier B.V. All rights reserved.

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