当遗传漂移在空间上异质时,推断景观对基因流动的抵抗
Paul Savary1,2,3, Jean-Christophe Foltête2, Hervé Moal1
1ARP-Astrance, Paris, France.
Molecular ecology resources
|June 19, 2023
概括
景观遗传学可靠地对抗性成本进行排名,但当迁移较低或种群异质时,很难确定真正的价值. 纳入人口规模和面积可以提高成本推断的准确性.
科学领域:
- 生态生态学 生态生态学
- 人口遗传学 人口遗传学
- 保护生物学 保护生物学
背景情况:
- 连接模型使用土地覆盖成本来估计物种移动阻力.
- 景观遗传学从遗传差异化和成本距离中推断出这些成本.
- 人口规模 (漂移),迁移和分布的空间异质性在成本推断中经常被忽视.
研究的目的:
- 在不同的移民率,人口空间模式和人口大小异质性下,评估成本价值推断的可靠性.
- 评估是否结合人群内部变量 (例如重力模型) 可以提高推断的准确性,特别是在异质遗传漂移的情况下.
- 确定条件,使得能够准确识别真正的景观阻力成本.
主要方法:
- 模拟不同规模和空间分布的种群之间的基因流动.
- 使用真实/替代成本距离和人口内部变量 (人口大小,补丁面积) 的装配引力模型.
- 通过使用成本距离和准确成本识别的条件之间的曼特尔相关性来评估推断可靠性.
主要成果:
- 成本场景排名通常可靠,但真正的成本场景很少产生最适合模型的结果.
- 推断不准确性随着迁移受限 (<4个分散事件/一代),人口大小异质性高,和人口聚合而增加.
- 考虑人口内部变量显著改善了在具有挑战性的情况下可靠识别真实成本场景.
结论:
- 在现实的人口复杂性下,对抗性成本的标准景观遗传推断可能不可靠.
- 纳入人口规模和面积等人口内部变量对于精确的成本推断至关重要,当遗传漂移在空间上异质时.
- 改进的成本推断提高了用于保护规划和物种管理的连接模型的有效性.
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