North Carolina State University, Biomathematics Graduate Program, Department of Mathematics, Raleigh, 27695, USA.
North Carolina State University, Genetic Engineering and Society Center, Raleigh, 27695, USA.
Sci Rep. 2017 Sep 8;7(1):11038. doi: 10.1038/s41598-017-10633-2.
A gene drive biases inheritance of a gene so that it increases in frequency within a population even when the gene confers no fitness benefit. There has been renewed interest in environmental releases of engineered gene drives due to recent proof of principle experiments with the CRISPR-Cas9 system as a drive mechanism. Release of modified organisms, however, is controversial, especially when the drive mechanism could theoretically alter all individuals of a species. Thus, it is desirable to have countermeasures to reverse a drive if a problem arises. Several genetic mechanisms for limiting or eliminating gene drives have been proposed and/or developed, including synthetic resistance, reversal drives, and immunizing reversal drives. While predictions about efficacy of these mechanisms have been optimistic, we lack detailed analyses of their expected dynamics. We develop a discrete time model for population genetics of a drive and proposed genetic countermeasures. Efficacy of drive reversal varies between countermeasures. For some parameter values, the model predicts unexpected behavior including polymorphic equilibria and oscillatory dynamics. The timing and number of released individuals containing a genetic countermeasure can substantially impact outcomes. The choice among countermeasures by researchers and regulators will depend on specific goals and population parameters of target populations.
基因驱动使一个基因的遗传发生偏向,即使该基因没有赋予适应度优势,它在种群中的频率也会增加。由于最近使用 CRISPR-Cas9 系统作为驱动机制进行了原理验证实验,因此人们对环境释放工程基因驱动重新产生了兴趣。然而,释放经过修饰的生物体存在争议,特别是当驱动机制理论上可以改变一个物种的所有个体时。因此,如果出现问题,最好有逆转驱动的对策。已经提出和/或开发了几种限制或消除基因驱动的遗传机制,包括合成抗性、逆转驱动和免疫逆转驱动。虽然这些机制的有效性预测是乐观的,但我们缺乏对它们预期动态的详细分析。我们为驱动和拟议的遗传对策建立了一个用于种群遗传学的离散时间模型。逆转驱动的有效性因对策而异。对于某些参数值,该模型预测了出乎意料的行为,包括多态平衡点和振荡动力学。包含遗传对策的释放个体的时间和数量会对结果产生重大影响。研究人员和监管机构对对策的选择将取决于目标种群的具体目标和种群参数。