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害虫种群动态对用于种群控制的合成基因驱动的可行性具有关键决定性。

Pest demography critically determines the viability of synthetic gene drives for population control.

机构信息

School of Mathematical Sciences, The University of Adelaide, Adelaide, South Australia 5005, Australia.

School of Mathematical Sciences, The University of Adelaide, Adelaide, South Australia 5005, Australia.

出版信息

Math Biosci. 2018 Nov;305:160-169. doi: 10.1016/j.mbs.2018.09.005. Epub 2018 Sep 13.

Abstract

Synthetic gene drives offer a novel solution for the control of invasive alien species. CRISPR-based gene drives can positively bias their own inheritance, and comprise a DNA sequence that is replicated by homologous recombination. Since gene drives can be positioned to silence fertility or developmental genes, they could be used for population suppression. However, the production of resistant alleles following self-replication errors threatens the technology's viability for pest eradication in real-world applications. Further, a robust assessment of how pest demography impacts the expected progression of gene drives through populations is currently lacking. We used a deterministic, two-sex, birth-death model to investigate how demographic assumptions affect the efficiency of suppression drives for controlling invasive rodents on islands, for two different gene-drive strategies. We show that mass-action reproduction results in overly optimistic eradication outcomes when compared to the more realistic assumption of polygynous breeding. When polygyny was assumed, both gene-strategies failed due to the evolution of resistance unless a reproductive Allee effect (reduced reproductive rates at low population density) was also included; although model outcomes were highly sensitive to the strength of this effect. Increasing the size of the initial gene-drive introduction (up to 10% of carrying capacity) had little impact on population outcomes. Understanding the demography of a population targeted for eradication is critical before the viability of gene-drive suppression can be adequately assessed.

摘要

合成基因驱动为控制入侵外来物种提供了一种新的解决方案。基于 CRISPR 的基因驱动可以积极地偏向其自身的遗传,包含一个通过同源重组复制的 DNA 序列。由于基因驱动可以定位到沉默生育或发育基因,因此它们可用于种群抑制。然而,自我复制错误产生的抗性等位基因威胁到该技术在实际应用中根除害虫的可行性。此外,目前缺乏对害虫种群动态如何影响基因驱动在种群中预期进展的稳健评估。我们使用确定性、两性、出生-死亡模型来研究人口统计学假设如何影响控制岛屿上入侵啮齿动物的抑制驱动的效率,针对两种不同的基因驱动策略。我们表明,与更现实的多配偶繁殖假设相比,大规模繁殖导致对根除结果的过度乐观估计。当假设多配偶繁殖时,两种基因策略都因抗性的进化而失败,除非还包括生殖阿利效应(种群密度低时生殖率降低);尽管模型结果对该效应的强度高度敏感。增加初始基因驱动引入的规模(最多达到承载能力的 10%)对种群结果几乎没有影响。在充分评估基因驱动抑制的可行性之前,了解目标灭绝的种群的人口统计学情况至关重要。

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