用长期共享的单元类型对空间异质群体进行人口推断
Raphaël Forien1, Harald Ringbauer2, Graham Coop3
1INRAE - BioSP, Centre INRAE PACA, 228 route de l'aérodrome, Domaine St-Paul - Site Agroparc, 84914, Avignon Cedex 9, France.
bioRxiv : the preprint server for biology
|July 3, 2023
概括
我们开发了一种新的空间模型,以跟踪不同息地不同分散率的种群祖先. 该方法使用遗传数据准确推断出人口密度和分散参数.
科学领域:
- 人口遗传学 人口遗传学
- 空间建模 空间建模
- 数学生物学的数学生物学
背景情况:
- 了解人口结构和分散如何影响遗传多样性在进化生物学中至关重要.
- 以前的模型经常简化了空间息地,限制了它们对复杂环境的适用性.
结论:
- 由此得出的公式可以推断出不同地区的分散参数和有效人口密度.
- 一种复合概率方法证明了该方法在模拟数据集上的效率.
- 这项工作为分析空间异质环境中的人口结构和历史提供了强大的框架.
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