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基于 CRISPR 的基因驱动的新组合可消除抗性并定位传播。

Novel combination of CRISPR-based gene drives eliminates resistance and localises spread.

机构信息

Highlander Lab, The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK.

Laboratory of Genetics, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB, Wageningen, The Netherlands.

出版信息

Sci Rep. 2021 Mar 4;11(1):3719. doi: 10.1038/s41598-021-83239-4.

Abstract

Invasive species are among the major driving forces behind biodiversity loss. Gene drive technology may offer a humane, efficient and cost-effective method of control. For safe and effective deployment it is vital that a gene drive is both self-limiting and can overcome evolutionary resistance. We present HD-ClvR in this modelling study, a novel combination of CRISPR-based gene drives that eliminates resistance and localises spread. As a case study, we model HD-ClvR in the grey squirrel (Sciurus carolinensis), which is an invasive pest in the UK and responsible for both biodiversity and economic losses. HD-ClvR combats resistance allele formation by combining a homing gene drive with a cleave-and-rescue gene drive. The inclusion of a self-limiting daisyfield gene drive allows for controllable localisation based on animal supplementation. We use both randomly mating and spatial models to simulate this strategy. Our findings show that HD-ClvR could effectively control a targeted grey squirrel population, with little risk to other populations. HD-ClvR offers an efficient, self-limiting and controllable gene drive for managing invasive pests.

摘要

入侵物种是生物多样性丧失的主要驱动因素之一。基因驱动技术可能提供一种人道、高效和具有成本效益的控制方法。为了安全有效地部署,基因驱动必须既自我限制又能克服进化抗性。在这项建模研究中,我们提出了 HD-ClvR,这是一种基于 CRISPR 的基因驱动的新组合,可以消除抗性并限制传播。作为案例研究,我们在灰松鼠(Sciurus carolinensis)中对 HD-ClvR 进行建模,灰松鼠是英国的入侵害虫,对生物多样性和经济损失都负有责任。HD-ClvR 通过组合同源基因驱动和切割-修复基因驱动来对抗抗性等位基因的形成。包含自我限制的雏菊花田基因驱动允许基于动物补充进行可控的本地化。我们使用随机交配和空间模型来模拟这种策略。我们的研究结果表明,HD-ClvR 可以有效地控制目标灰松鼠种群,而对其他种群的风险很小。HD-ClvR 为管理入侵害虫提供了一种高效、自我限制和可控的基因驱动。

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