This content will become publicly available on July 31, 2014
Genotypic and phenotypic characterization of aerosolized bacteria collected from African dust events
Twenty-one bacteria were isolated and characterized from air samples collected in Africa and the Caribbean by the United States Geological Survey (USGS). Isolates were selected based on preliminary characterization as possible pathogens. Identification of the bacterial isolates was 25 achieved using 16S rRNA gene sequence analysis, fatty acid methyl esters (FAMEs) profiling, the BIOLOG Microlog® System (carbon substrate assay), and repetitive extragenic palindromic (REP)-PCR analysis. The majority of isolates (18/21) were identified as species of the genus Bacillus. Three isolates were classified within the Bacillus cereus senso lato group, which includes Bacillus anthracis, Bacillus thuringiensis, and Bacillus cereus strains. One isolate was identified as a Staphylococcus sp., 30 most closely related to species (i.e Staphylococcus kloosii, Staphylococcus warneri) that are commonly associated with human or animal skin, but can also act as opportunistic pathogen. Another isolate was tentatively identified as Tsukamurella inchonensis, a known respiratory pathogen, and was resistant to the ten antibiotics tested including vancomycin.
- Univ. of South Carolina, Aiken, SC (United States)
- Savannah River National Lab. (SRNL), Aiken, SC (United States)
- Medical Univ. of South Carolina, Charleston, SC (United States). Hollings Marine Lab.
- Publication Date:
- OSTI Identifier:
- Report Number(s):
Journal ID: ISSN 1553-5975
- Grant/Contract Number:
- Accepted Manuscript
- Journal Name:
- Journal of the South Carolina Academy of Science
- Additional Journal Information:
- Journal Volume: 12; Journal Issue: 1; Journal ID: ISSN 1553-5975
- South Carolina Academy of Science
- Research Org:
- Savannah River Site (SRS), Aiken, SC (United States)
- Sponsoring Org:
- Country of Publication:
- United States
- 59 BASIC BIOLOGICAL SCIENCES
Enter terms in the toolbar above to search the full text of this document for pages containing specific keywords.