Sychla Adam, Feltman Nathan R, Hutchison William D, Smanski Michael J
Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Saint Paul, MN, United States.
Biotechnology Institute, University of Minnesota, Saint Paul, MN, United States.
Front Insect Sci. 2022 Nov 22;2:1063789. doi: 10.3389/finsc.2022.1063789. eCollection 2022.
Engineered Genetic Incompatibility (EGI) is an engineered extreme underdominance genetic system wherein hybrid animals are not viable, functioning as a synthetic speciation event. There are several strategies in which EGI could be leveraged for genetic biocontrol of pest populations. We used an agent-based model of (Spotted Wing Drosophila) to determine how EGI would fare with high rates of endemic genetic resistance alleles. We discovered a surprising failure mode wherein field-generated females convert an incompatible male release program into a population replacement gene drive. Local suppression could still be attained in two seasons by tailoring the release strategy to take advantage of this effect, or alternatively in one season by altering the genetic design of release agents. We show in this work that data from modeling can be utilized to recognize unexpected emergent phenomena and inform genetic biocontrol treatment design to increase efficacy.
工程化遗传不相容性(EGI)是一种工程化的极端隐性遗传系统,其中杂交动物无法存活,起到了合成物种形成事件的作用。有几种策略可以利用EGI对害虫种群进行遗传生物防治。我们使用了基于主体的(斑翅果蝇)模型来确定EGI在高频率的地方遗传抗性等位基因情况下的表现。我们发现了一种令人惊讶的失败模式,即野外产生的雌性将不相容的雄性释放计划转变为种群替代基因驱动。通过调整释放策略以利用这种效应,仍可在两个季节内实现局部抑制,或者通过改变释放剂的遗传设计在一个季节内实现。我们在这项工作中表明,建模数据可用于识别意外的突发现象,并为遗传生物防治治疗设计提供信息以提高疗效。