Knudsen G R
Department of Plant, Soil and Entomological Sciences, University of Idaho, Moscow 83843.
Appl Environ Microbiol. 1989 Oct;55(10):2641-7. doi: 10.1128/aem.55.10.2641-2647.1989.
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.
对喷洒在作物上的基因工程细菌进行风险评估,包括确定场外扩散和沉降情况。预测微生物扩散模式的能力对于描述与重组生物环境释放相关的不确定性(风险)至关重要。为此,开发了一个粒子扩散模型,以预测在试验场地周围不同距离和方向的沉降平板上细菌的回收率。该微机模拟纳入了粒径分布、风速和风向、湍流、蒸发、沉降和死亡率,时间步长为0.5秒。该模型针对非重组细菌的三次田间应用和重组细菌的两次应用所报告的数据进行了测试。将10⁵个粒子的模拟扩散与报告的沉降测量结果进行了比较。该模型可能有助于确定合适的释放生物种群、释放或应用方法、影响遏制或扩散的释放场地特征,以及开发用于监测基因工程细菌等生物扩散的适当采样方法。