↓ Skip to main content

PLOS

Genomic Signatures of Strain Selection and Enhancement in Bacillus atrophaeus var. globigii, a Historical Biowarfare Simulant

Overview of attention for article published in PLOS ONE, March 2011
Altmetric Badge

Mentioned by

wikipedia
4 Wikipedia pages

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
78 Mendeley
Title
Genomic Signatures of Strain Selection and Enhancement in Bacillus atrophaeus var. globigii, a Historical Biowarfare Simulant
Published in
PLOS ONE, March 2011
DOI 10.1371/journal.pone.0017836
Pubmed ID
Authors

Henry S. Gibbons, Stacey M. Broomall, Lauren A. McNew, Hajnalka Daligault, Carol Chapman, David Bruce, Mark Karavis, Michael Krepps, Paul A. McGregor, Charles Hong, Kyong H. Park, Arya Akmal, Andrew Feldman, Jeffrey S. Lin, Wenling E. Chang, Brandon W. Higgs, Plamen Demirev, John Lindquist, Alvin Liem, Ed Fochler, Timothy D. Read, Roxanne Tapia, Shannon Johnson, Kimberly A. Bishop-Lilly, Chris Detter, Cliff Han, Shanmuga Sozhamannan, C. Nicole Rosenzweig, Evan W. Skowronski

Abstract

Despite the decades-long use of Bacillus atrophaeus var. globigii (BG) as a simulant for biological warfare (BW) agents, knowledge of its genome composition is limited. Furthermore, the ability to differentiate signatures of deliberate adaptation and selection from natural variation is lacking for most bacterial agents. We characterized a lineage of BGwith a long history of use as a simulant for BW operations, focusing on classical bacteriological markers, metabolic profiling and whole-genome shotgun sequencing (WGS).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Netherlands 1 1%
Canada 1 1%
Unknown 75 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 27%
Student > Ph. D. Student 12 15%
Student > Bachelor 7 9%
Professor 5 6%
Other 5 6%
Other 13 17%
Unknown 15 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 40%
Biochemistry, Genetics and Molecular Biology 13 17%
Engineering 5 6%
Immunology and Microbiology 3 4%
Chemistry 3 4%
Other 6 8%
Unknown 17 22%