Marshall John M
Department of Biomathematics, UCLA School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095-1766, USA.
J Theor Biol. 2009 May 21;258(2):250-65. doi: 10.1016/j.jtbi.2009.01.031. Epub 2009 Feb 7.
Mosquito-borne diseases such as malaria and dengue fever continue to be a major health problem through much of the world. Several new potential approaches to disease control utilize gene drive to spread anti-pathogen genes into the mosquito population. Prior to a release, these projects will require trials in outdoor cages from which transgenic mosquitoes may escape, albeit in small numbers. Most genes introduced in small numbers are very likely to be lost from the environment; however, gene drive mechanisms enhance the invasiveness of introduced genes. Consequently, introduced transgenes may be more likely to persist than ordinary genes following an accidental release. Here, we develop stochastic models to analyze the loss probabilities for several gene drive mechanisms, including homing endonuclease genes, transposable elements, Medea elements, the intracellular bacterium Wolbachia, engineered underdominance genes, and meiotic drive. We find that Medea and Wolbachia present the best compromise between invasiveness and containment for the six gene drive systems currently being considered for the control of mosquito-borne disease.
疟疾和登革热等蚊媒疾病在世界大部分地区仍然是一个重大的健康问题。几种新的潜在疾病控制方法利用基因驱动将抗病原体基因传播到蚊子种群中。在释放之前,这些项目将需要在室外笼子中进行试验,转基因蚊子可能会从笼子中逃脱,尽管数量很少。少数引入的基因很可能会从环境中丢失;然而,基因驱动机制增强了引入基因的入侵性。因此,意外释放后,引入的转基因可能比普通基因更有可能持续存在。在这里,我们开发了随机模型来分析几种基因驱动机制的丢失概率,包括归巢内切酶基因、转座元件、美狄亚元件、细胞内细菌沃尔巴克氏体、工程化的隐性有害基因和减数分裂驱动。我们发现,对于目前正在考虑用于控制蚊媒疾病的六种基因驱动系统,美狄亚元件和沃尔巴克氏体在入侵性和可控性之间呈现出最佳的平衡。