Paper
5 May 2010 Analysis of dust samples from the Middle East using high-density resequencing micro-array RPM-TEI
T. A. Leski, M. J. Gregory, A. P. Malanoski, J. P. Smith, R. H. Glaven, Z. Wang, D. A. Stenger, B. Lin
Author Affiliations +
Abstract
A previously developed resequencing microarray, "Tropical and Emerging Infections (RPM-TEI v.1.0 chip)", designed to identify and discriminate between tropical diseases and other potential biothreat agents, their near-neighbor species, and/or potential confounders, was used to characterize the microbes present in the silt/clay fraction of surface soils and airborne dust collected from the Middle East. Local populations and U.S. military personnel deployed to the Middle East are regularly subjected to high levels of airborne desert dust containing a significant fraction of inhalable particles and some portion require clinical aid. Not all of the clinical symptoms can be directly attributed to the physical action of material in the human respiratory tract. To better understand the potential health effects of the airborne dust, the composition of the microbial communities associated with surface soil and/or airborne dust (air filter) samples from 19 different sites in Iraq and Kuwait was identified using RPM-TEI v.1.0. Results indicated that several microorganisms including a class of rapidly growing Mycobacterium, Bacillus, Brucella, Clostridium and Coxiella burnetti, were present in the samples. The presence of these organisms in the surface soils and the inhalable fraction of airborne dust analyzed may pose a human health risk and warrants further investigation. Better understanding of the factors influencing the composition of these microbial communities is important to address questions related to human health and is critical to achieving Force Health Protection for the Warfighter operating in the Middle East, Afghanistan, North Africa and other arid regions.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
T. A. Leski, M. J. Gregory, A. P. Malanoski, J. P. Smith, R. H. Glaven, Z. Wang, D. A. Stenger, and B. Lin "Analysis of dust samples from the Middle East using high-density resequencing micro-array RPM-TEI", Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 76661E (5 May 2010); https://doi.org/10.1117/12.853119
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Cited by 2 scholarly publications.
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KEYWORDS
Microorganisms

Particles

Soil science

Pathogens

Statistical analysis

Organisms

Viruses

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