概括
我们开发了一种新的贝叶斯系遗传学方法,用不均的连续时间马尔科夫链 (ICTMC) 来建模随时间变化的进化速率. 这种灵活的多时代时钟模型准确估计了像SARS-CoV-2这样的病毒的进化时间尺度和速率.
科学领域:
- 进化生物学 进化生物学
- 计算生物学 计算生物学
- 病毒学 病毒学
背景情况:
- 从分子数据中估计进化速率对于理解进化和传染病至关重要.
- 目前的方法可能很难准确地捕捉进化速率的时间变化.
研究的目的:
- 介绍一个灵活的贝叶斯氏系遗传推理框架,以建模时间变化的进化速率.
- 开发一个计算效率高的方法,以变化速率进行家族遗传分析.
主要方法:
- 使用不均的连续时间马尔科夫链 (ICTMCs) 建模了序列演变.
- 引入了"多时代时钟模型",通过将速率函数参数化为切片常数.
- 为了提高效率,采用高斯马尔科夫随机现场先验和哈密尔顿蒙特卡洛抽样.
主要成果:
- 多时代时钟模型在模拟中准确地恢复了真实时间尺度和进化速率.
- 通过可扩展梯度评估和哈密尔顿式蒙特卡洛采样来证明计算效率.
结论:
- 多时代时钟模型提供了一种灵活和高效的方法,用于以时间变化的速率进行遗传学推断.
- 应用该模型来估计西尼罗病毒,登革热病毒,流感A/H3N2和SARS-CoV-2传播的进化速率.
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