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预测水生模型系统在实验范围扩展中的演变

Giacomo Zilio¹, Sascha Krenek², Claire Gougat-Barbera¹

¹ISEM, University of Montpellier, CNRS, EPHE, IRD, Montpellier, France.

Evolution letters

|May 30, 2023

概括

可以预测物种范围扩张期间的进化变化. 对 *Paramecium caudatum* 的研究表明,分散和生长的选择驱动了范围前的可预测的进化轨迹.

科学领域:

生态生态学生态生态学
进化生物学进化生物学
保护生物学保护生物学

背景情况:

预测物种范围的扩大对保护和全球变化生物学至关重要.
同时的生态和进化过程使这些预测变得复杂.
了解生态进化动态是预测物种对环境变化的反应的关键.

研究的目的:

评估在范围扩大期间进化变化的可预测性.
将实验进化与范围扩展动态的数学建模相结合.
调查分散进化的作用在驱动物种范围转移中的作用.

主要方法:

在模拟范围核心和前端条件的微观宇宙种群中*Paramecium caudatum*的实验进化.
数学建模参数化与经验分散和增长数据.
监测生态动态和特征演变,包括遗传分歧 (COI标志物).

主要成果:

短期演变显示,在范围前线增加分散的选择和整体上更高的增长率.
数学模型的预测量上与观察到的特征变化相匹配.
在范围核心和前沿种群之间发生了表型和遗传差异,并重复固定了特定的COI基因型.
范围前线的长期进化导致了分散综合征和竞争-殖民化权衡.

结论:

分散进化是范围扩张的重要驱动因素.
范围前沿的进化轨迹可以预测,特别是在更简单的场景中.
使用关键的生态和进化参数预测范围扩张动态可能是可行的.

关键词:

分散演变的演变.生态进化的动态.侵略侵略侵略侵略可以预测的可预测性.反应扩散模型的反应-扩散模型.

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