Modeling Substitution Rate Evolution across Lineages and Relaxing the Molecular Clock.

IF 3.2 2区 生物学 Q2 EVOLUTIONARY BIOLOGY Genome Biology and Evolution Pub Date : 2024-09-03 DOI:10.1093/gbe/evae199
Beatriz Mello, Carlos G Schrago
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Abstract

Relaxing the molecular clock using models of how substitution rates change across lineages has become essential for addressing evolutionary problems. The diversity of rate evolution models and their implementations are substantial, and studies have demonstrated their impact on divergence time estimates can be as significant as that of calibration information. In this review, we trace the development of rate evolution models from the proposal of the molecular clock concept to the development of sophisticated Bayesian and non-Bayesian methods that handle rate variation in phylogenies. We discuss the various approaches to modeling rate evolution, provide a comprehensive list of available software, and examine the challenges and advancements of the prevalent Bayesian framework, contrasting them to faster non-Bayesian methods. Lastly, we offer insights into potential advancements in the field in the era of big data.

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跨世系替代率进化建模与放宽分子时钟
利用不同品系间替代率变化的模型来放宽分子钟,已成为解决进化问题的关键。速率演化模型及其实现方式多种多样,研究表明它们对分歧时间估计的影响可能与校准信息的影响一样大。在这篇综述中,我们将追溯速率演化模型的发展历程,从分子钟概念的提出,到处理系统进化中速率变化的复杂贝叶斯和非贝叶斯方法的发展。我们讨论了建立速率演化模型的各种方法,提供了一份可用软件的综合清单,研究了流行的贝叶斯框架所面临的挑战和取得的进步,并将其与速度更快的非贝叶斯方法进行了对比。最后,我们对大数据时代该领域的潜在进步提出了见解。
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来源期刊
Genome Biology and Evolution
Genome Biology and Evolution EVOLUTIONARY BIOLOGY-GENETICS & HEREDITY
CiteScore
5.80
自引率
6.10%
发文量
169
审稿时长
1 months
期刊介绍: About the journal Genome Biology and Evolution (GBE) publishes leading original research at the interface between evolutionary biology and genomics. Papers considered for publication report novel evolutionary findings that concern natural genome diversity, population genomics, the structure, function, organisation and expression of genomes, comparative genomics, proteomics, and environmental genomic interactions. Major evolutionary insights from the fields of computational biology, structural biology, developmental biology, and cell biology are also considered, as are theoretical advances in the field of genome evolution. GBE’s scope embraces genome-wide evolutionary investigations at all taxonomic levels and for all forms of life — within populations or across domains. Its aims are to further the understanding of genomes in their evolutionary context and further the understanding of evolution from a genome-wide perspective.
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