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Whole Genome Sequence Typing to Investigate the Apophysomyces Outbreak following a Tornado in Joplin, Missouri, 2011

Overview of attention for article published in PLOS ONE, November 2012
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Title
Whole Genome Sequence Typing to Investigate the Apophysomyces Outbreak following a Tornado in Joplin, Missouri, 2011
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049989
Pubmed ID
Authors

Kizee A. Etienne, John Gillece, Remy Hilsabeck, Jim M. Schupp, Rebecca Colman, Shawn R. Lockhart, Lalitha Gade, Elizabeth H. Thompson, Deanna A. Sutton, Robyn Neblett-Fanfair, Benjamin J. Park, George Turabelidze, Paul Keim, Mary E. Brandt, Eszter Deak, David M. Engelthaler

Abstract

Case reports of Apophysomyces spp. in immunocompetent hosts have been a result of traumatic deep implantation of Apophysomyces spp. spore-contaminated soil or debris. On May 22, 2011 a tornado occurred in Joplin, MO, leaving 13 tornado victims with Apophysomyces trapeziformis infections as a result of lacerations from airborne material. We used whole genome sequence typing (WGST) for high-resolution phylogenetic SNP analysis of 17 outbreak Apophysomyces isolates and five additional temporally and spatially diverse Apophysomyces control isolates (three A. trapeziformis and two A. variabilis isolates). Whole genome SNP phylogenetic analysis revealed three clusters of genotypically related or identical A. trapeziformis isolates and multiple distinct isolates among the Joplin group; this indicated multiple genotypes from a single or multiple sources. Though no linkage between genotype and location of exposure was observed, WGST analysis determined that the Joplin isolates were more closely related to each other than to the control isolates, suggesting local population structure. Additionally, species delineation based on WGST demonstrated the need to reassess currently accepted taxonomic classifications of phylogenetic species within the genus Apophysomyces.

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Geographical breakdown

Country Count As %
United States 3 6%
India 2 4%
Canada 1 2%
South Africa 1 2%
Unknown 40 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 30%
Researcher 13 28%
Student > Master 5 11%
Other 3 6%
Student > Doctoral Student 2 4%
Other 5 11%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 32%
Biochemistry, Genetics and Molecular Biology 8 17%
Medicine and Dentistry 7 15%
Immunology and Microbiology 2 4%
Earth and Planetary Sciences 2 4%
Other 6 13%
Unknown 7 15%