School of Biological Sciences, University of Aberdeen, Aberdeen, UK.
Research Center for Biology, Indonesian Institute of Sciences, Cibinong, Indonesia.
Methods Mol Biol. 2022;2569:305-326. doi: 10.1007/978-1-0716-2691-7_15.
The relative contribution of speciation and extinction into current diversity is certainly unknown, but mathematical frameworks that use genetic information have been developed to provide estimates of these processes. To that end, it is necessary to reconstruct molecular phylogenetic trees which summarize ancestor-descendant relationships as well as the timing of evolutionary events (i.e., rates). Nevertheless, diversification models show poor fit when assuming that single rate of speciation/extinction is constant over time and across lineages: species exhibit such a great variation in features that it is unlikely they give birth and die at the same pace. The state-dependent diversification framework (SSE) reconciles the species phenotypic variation with heterogeneous rates of diversification observed in a clade. This family of models allows testing contrasting hypotheses on mode of speciation, trait evolution, and its influence on speciation/extinction regimes. Although microbial species richness outnumbers diversity in plants and animals, diversification models are underused in microbiology. Here, we introduce microbiologists to models that estimate diversification rates and provide a detailed description of SSE models. Besides theoretical principles underlying the method, we also show how SSE analysis should be set up in R. We use pH evolution in Thaumarchaeota to explain its evolutionary dynamic in the light of SSE model. We hope this chapter spurs the study of trait evolution and evolutionary outcomes in microorganisms.
目前还不清楚物种形成和灭绝对现今多样性的相对贡献,但已经开发出利用遗传信息的数学框架来估计这些过程。为此,有必要重建分子系统发育树,总结祖先-后代关系以及进化事件的时间(即速率)。然而,当假设单一的物种形成/灭绝速率在时间和谱系上保持不变时,多样化模型的拟合效果不佳:物种在特征上表现出如此大的差异,它们不太可能以相同的速度诞生和死亡。状态依赖多样化框架(SSE)使物种表型变异与分支中观察到的异速多样化速率相一致。该模型族允许对物种形成方式、性状进化及其对物种形成/灭绝的影响进行对比假说检验。尽管微生物物种丰富度超过了植物和动物的多样性,但多样化模型在微生物学中使用不足。在这里,我们向微生物学家介绍了估计多样化速率的模型,并详细描述了 SSE 模型。除了方法的理论原理外,我们还展示了如何在 R 中设置 SSE 分析。我们使用 Thaumarchaeota 的 pH 进化来解释 SSE 模型中它的进化动态。我们希望这一章能够激发对微生物中性状进化和进化结果的研究。