Suppression gene drive in continuous space can result in unstable persistence of both drive and wild-type alleles.

Suppression gene drive in continuous space can result in unstable persistence of both drive and wild-type alleles.
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在连续空间中抑制基因驱动会导致驱动型和野生型等位基因的不稳定持久性。

DOI:
10.1111/mec.15788
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发表时间:
2021-03
期刊:
影响因子:
4.9
通讯作者:
Messer PW
Messer PW
中科院分区:
生物学1区
文献类型:
--
作者:
Champer J;Kim IK;Champer SE;Clark AG;Messer PW

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快速的进化过程可以产生截然不同的结果时,研究在panmictic人口模型与空间模型。其中一个过程是基因驱动,它描述了“自私”遗传因素在种群中的传播。工程基因驱动器正被考虑用于抑制疾病载体或入侵物种。虽然实验室实验和在全混种群中的建模表明,这种驱动可以迅速消除种群,但目前尚不清楚这些结果是否会转化为个体居住在连续景观中的自然环境。使用空间显式模拟,我们表明,释放的抑制驱动器可以导致我们所谓的“追逐”的动态,其中野生型个体tenonize驱动器本地消除人口的地区。尽管后来的驱动器重新征服这些地区,完全人口抑制往往未能发生或大大延迟。这增加了动力丧失或阻力产生的可能性。我们分析了如何追逐动态的驱动器的类型,其效率,健身成本,生态因素,如人口的最大增长率和水平的扩散和近亲繁殖的影响。我们发现,追逐是更常见的低效率的驱动器时,分散是低的,一些驱动器的机制是实质上更容易追逐的行为比别人。我们的研究结果表明,抑制基因驱动器的种群动态是由遗传和生态因素的复杂相互作用决定的,突出了现实的空间建模来预测自然种群中驱动器释放的结果的必要性。
Rapid evolutionary processes can produce drastically different outcomes when studied in panmictic population models versus spatial models. One such process is gene drive, which describes the spread of “selfish” genetic elements through a population. Engineered gene drives are being considered for the suppression of disease vectors or invasive species. While laboratory experiments and modeling in panmictic populations have shown that such drives can rapidly eliminate a population, it remains unclear if these results translate to natural environments where individuals inhabit a continuous landscape. Using spatially explicit simulations, we show that the release of a suppression drive can result in what we term “chasing” dynamics, in which wild-type individuals recolonize areas where the drive locally eliminated the population. Despite the drive subsequently reconquering these areas, complete population suppression often fails to occur or is substantially delayed. This increases the likelihood that the drive is lost or that resistance evolves. We analyze how chasing dynamics are influenced by the type of drive, its efficiency, fitness costs, and ecological factors such as the maximal growth rate of the population and levels of dispersal and inbreeding. We find that chasing is more common for lower efficiency drives when dispersal is low and that some drive mechanisms are substantially more prone to chasing behavior than others. Our results demonstrate that the population dynamics of suppression gene drives are determined by a complex interplay of genetic and ecological factors, highlighting the need for realistic spatial modeling to predict the outcome of drive releases in natural populations.
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