论文标题
Cophyly发育重建允许通过近似贝叶斯计算进行多个关联
Cophylogeny Reconstruction Allowing for Multiple Associations Through Approximate Bayesian Computation
论文作者
论文摘要
系统发育对帐用于检查宿主和共生物种之间的共同进化。一个重要的问题是选择基于事件的简约和解时需要可靠的成本值。尽管某些方法推断了每对宿主和共生树特有的事件概率,随后可以转换为成本值,但一个重大限制在于它们无法模拟同一Symbiont物种(称为传播事件)对多种宿主物种的入侵,这被认为是在Symbiotic关系中发生的。入侵导致观察共生体与其主机之间的多个关联(表明共生体不再是单个宿主独有的),这与现有的协同进化方法不相容。我们提出了Amocoala,这是工具Coala的增强版本,它为给定的一对宿主和共生树提供了更现实的cophyly事件概率,即使在存在扩散事件的情况下也是如此。我们将经典的4事件协同进化模型扩展到导致多个关联的另外2个扩展事件(垂直和水平利差)。通过合并传播事件,我们的对帐模型可以更准确地考虑多个关联。这种改进提高了估计成本集的精度,为寄主和共生树的更可靠的对帐铺平了道路。我们的结果表明,amocoala产生了生物学上合理的和解方案,进一步强调了其有效性。该软件可在https://github.com/sinaimeri/amocoala访问
Phylogenetic tree reconciliation is employed for the examination of coevolution between host and symbiont species. An important concern is the requirement for dependable cost values when selecting event-based parsimonious reconciliation. Although certain approaches deduce event probabilities unique to each pair of host and symbiont trees, which can subsequently be converted into cost values, a significant limitation lies in their inability to model the invasion of diverse host species by the same symbiont species (termed as a spread event), which is believed to occur in symbiotic relationships. Invasions lead to the observation of multiple associations between symbionts and their hosts (indicating that a symbiont is no longer exclusive to a single host), which are incompatible with the existing methods of coevolution. We present AmoCoala, an enhanced version of the tool Coala, that provides a more realistic estimation of cophylogeny event probabilities for a given pair of host and symbiont trees, even in the presence of spread events. We expand the classical 4-event coevolutionary model to include 2 additional spread events (vertical and horizontal spreads) that lead to multiple associations. By incorporating spread events, our reconciliation model enables a more accurate consideration of multiple associations. This improvement enhances the precision of estimated cost sets, paving the way to a more reliable reconciliation of host and symbiont trees. Our results showcase that AmoCoala produces biologically plausible reconciliation scenarios, further emphasizing its effectiveness. The software is accessible at https://github.com/sinaimeri/AmoCoala