多种物种下的异常网络 COALESCENT:理论和流行
Cécile Ané1,2, John Fogg1, Elizabeth S Allman3
1Department of Statistics, University of Wisconsin - Madison, WI, 53706, USA.
bioRxiv : the preprint server for biology
|September 4, 2023
概括
如果显示的树拓在基因树中罕见,那么家族遗传网络可能是异常的. 异常的4种类型网络在共同遗传下是罕见的,但可以由于相关遗传而出现,挑战推断方法.
科学领域:
- 进化生物学是进化的生物学.
- 人类遗传学 是一个学科.
- 计算生物学是一种计算生物学.
背景情况:
- 遗传学网络中的网状结构模拟了基因流动,混合物,重组和杂交物种的发生.
- 异常网络是由它们在基因树上显示的树拓的罕见出现所定义的.
研究的目的:
- 使用网络多物种协同形成模型调查异常网络.
- 专注于4个分类群的子集,以开发高效的算法和分析拓性质.
主要方法:
- 开发了一种新的算法,以快速计算网络上的四重奏对应因子.
- 分析了拓性质,确定了32个周期对于异常至关重要.
- 使用模拟来评估不同遗传模型下的异常流行率.
主要成果:
- 证明了4种类型网络在共同遗传下从来不是异常的.
- 模拟显示,在相关遗传下,真正异常网络很少见.
- 从有限的基因数据中观察到,由于四重奏一致性因素,显得异常的网络占了很大一部分.
结论:
- 相对相关的遗传可以导致家族遗传网络中明显的异常.
- 这些明显的异常可能对当前的族系网络推断方法构成挑战.
- 新的算法为网络分析提供更快的四重奏一致性因子计算.
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