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PMID: 2604402 Published · ppublish English Journal Article

Model to predict aerial dispersal of bacteria during environmental release.

Applied and environmental microbiology ·Vol. 55 ·No. 10 ·1989-10-00 ·Pages 2641-7

Knudsen GR

Abstract

Risk assessment for genetically engineered bacteria sprayed onto crops includes determination of off-site dispersal and deposition. The ability to predict microbial dispersal patterns is essential to characterize the uncertainty (risk) associated with environmental release of recombinant organisms. Toward this end, a particle dispersal model was developed to predict recovery of bacteria on fallout plates at various distances and directions about a test site. The microcomputer simulation incorporates particle size distribution, wind speed and direction, turbulence, evaporation, sedimentation, and mortality, with a time step of 0.5 s. The model was tested against data reported from three field applications of nonrecombinant bacteria and two applications of recombinant bacteria. Simulated dispersal of 10(5) particles was compared with reported deposition measurements. The model may be useful in defining appropriate populations of organisms for release, methods of release or application, characteristics of a release site that influence containment or dispersal, and in developing an appropriate sampling methodology for monitoring the dispersal of organisms such as genetically engineered bacteria.

MeSH Terms
Air Microbiology Bacteria/genetics Bacterial Physiological Phenomena California Colony Count, Microbial Computer Simulation DNA, Recombinant Genetic Engineering Models, Biological Regression Analysis
Chemicals
DNA, Recombinant
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Knudsen G R
Department of Plant, Soil and Entomological Sciences, University of Idaho, Moscow 83843.
References (6)
6 references, click to expand
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Article Info
Journal
Applied and environmental microbiology
Abbr.
Appl Environ Microbiol
ISSN
0099-2240
Published
1989-10-00
Pages
2641-7
Language
English
Region
United States
NLM ID
7605801
PMCID
PMC203137
Subset
IM
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