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渐进式物种形成:基于状态依赖物种形成和灭绝模型的研究

Protracted Speciation under the State-Dependent Speciation and Extinction Approach.

机构信息

Mathematical Sciences Institute, Australian National University, Canberra ACT 0200 Australia.

出版信息

Syst Biol. 2022 Oct 12;71(6):1362-1377. doi: 10.1093/sysbio/syac041.

Abstract

How long does speciation take? The answer to this important question in evolutionary biology lies in the genetic difference not only among species, but also among lineages within each species. With the advance of genome sequencing in non-model organisms and the statistical tools to improve accuracy in inferring evolutionary histories among recently diverged lineages, we now have the lineage-level trees to answer these questions. However, we do not yet have an analytical tool for inferring speciation processes from these trees. What is needed is a model of speciation processes that generates both the trees and species identities of extant lineages. The model should allow calculation of the probability that certain lineages belong to certain species and have an evolutionary history consistent with the tree. Here, we propose such a model and test the model performance on both simulated data and real data. We show that maximum-likelihood estimates of the model are highly accurate and give estimates from real data that generate patterns consistent with observations. We discuss how to extend the model to account for different rates and types of speciation processes across lineages in a species group. By linking evolutionary processes on lineage level to species level, the model provides a new phylogenetic approach to study not just when speciation happened, but how speciation happened. [Micro-macro evolution; Protracted birth-death process; speciation completion rate; SSE approach.].

摘要

物种形成需要多长时间?这个进化生物学中的重要问题的答案不仅在于物种之间的遗传差异,还在于每个物种内部的谱系之间。随着非模式生物的基因组测序技术的进步,以及改进推断最近分化谱系之间进化历史的准确性的统计工具的出现,我们现在有了谱系水平的树来回答这些问题。然而,我们还没有一种从这些树中推断物种形成过程的分析工具。我们需要的是一种物种形成过程的模型,该模型既能生成现存谱系的树,又能生成物种身份。该模型应允许计算某些谱系属于某些物种的概率,并且其进化历史与树一致。在这里,我们提出了这样一个模型,并在模拟数据和真实数据上测试了模型的性能。我们表明,该模型的最大似然估计非常准确,并给出了来自真实数据的估计,这些估计与观察结果一致。我们讨论了如何扩展该模型,以解释物种组内不同谱系之间不同的物种形成过程的速率和类型。通过将谱系水平的进化过程与物种水平联系起来,该模型为研究物种形成何时发生以及如何发生提供了一种新的系统发育方法。[微观-宏观进化;拖延性生死过程;物种形成完成率;SSE 方法。]

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