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Author Notes:

Email: mzwick@emory.edu

Conceived and designed the experiments: MZ TR.

Performed the experiments: MK.

Analyzed the data: MZ TR MK AS.

Contributed reagents/materials/analysis tools: MZ TR AM.

Wrote the paper: MZ TR MK.

The authors would like to thank Ms. Ebony Scott-Bey for technical assistance, Dr. Peter Turnbull for aid in B. anthracis strain selection and Mr. Michael Chute for B. anthracis genomic DNA isolation.

The views expressed in this paper are those of the authors and do not reflect the official policy or position of the Department of the Navy, the Department of Defense, or the U.S. Government.

Michael E. Zwick is a paid consultant for the Henry M. Jackson Foundation for the Advancement of Military Medicine and was compensated for his work on this project.


Research Funding:

This study was supported by grant G.G.004_06_NM_B from the Defense Threat Reduction Agency (DTRA).


  • Science & Technology
  • Multidisciplinary Sciences
  • Science & Technology - Other Topics

Journal Title:



Volume 3, Number 7


, Pages e2513-e2513

Type of Work:

Article | Final Publisher PDF


The ability to distinguish microbial pathogens from closely related but nonpathogenic strains is key to understanding the population biology of these organisms. In this regard, Bacillus anthracis, the bacterium that causes inhalational anthrax, is of interest because it is closely related and often difficult to distinguish from other members of the B. cereus group that can cause diverse diseases. We employed custom-designed resequencing arrays (RAs) based on the genome sequence of Bacillus anthracis to generate 422 kb of genomic sequence from a panel of 41 Bacillus cereus sensu lato strains. Here we show that RAS represent a "one reaction" genotyping technology with the ability to discriminate between highly similar B. anthracis isolates and more divergent strains of the B. cereus s I Clade 1. Our data show that RAs can be an efficient genotyping technology for pre-screening the genetic diversity of large strain collections to selected the best candidates for whole genome sequencing.

Copyright information:

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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