An Evolving View of Character Macroevolution.

IF 5.7 1区 生物学 Q1 EVOLUTIONARY BIOLOGY
Carrie M Tribble,Jesús Martínez Gómez,Carl J Rothfels,Michael R May
{"title":"An Evolving View of Character Macroevolution.","authors":"Carrie M Tribble,Jesús Martínez Gómez,Carl J Rothfels,Michael R May","doi":"10.1093/sysbio/syag034","DOIUrl":null,"url":null,"abstract":"Phenotypes serve as the interface between organisms and their environments and are thus pivotal for comprehensive biological understanding. However, comparative analyses of species' phenotypes must account for the non-independence of characters imposed by the branching pattern of macroevolution. Methods to account for this phylogenetic non-independence have historically been conceived of as their own subfield: phylogenetic comparative methods (PCMs). In this conceptualization, a researcher takes a pre-existing phylogeny and uses it to correct for the non-independence of the character data that they wish to analyze. Here we argue that parallel developments in scientific philosophy, data availability, computational capacity, and model development have enabled a new paradigm of character evolution, where patterns of character evolution are seen as intrinsically related to the diversification process, and thus should be inferred jointly with the tree rather than reconstructed on an existing phylogeny in a two-step process. In the context of this paradigm shift, we review historical milestones in studies of character macroevolution and discuss major recent conceptual and methodological advances, with an emphasis on the opportunities and insights provided by the joint-inference perspective. We include primers on current topics in character evolution where joint inference is particularly effective, including: (1) state-dependent speciation and extinction models and the importance of cladogenetic change; (2) jointly modeling discrete and continuous characters; (3) accounting for hidden process variation in character evolution; (4) joint inference in divergence-time estimation; (5) joint inference of phylogeny and ancestral states, and; (6) joint inference of alignment and phylogeny. The article concludes with a reflection on the future trajectory of these methods, emphasizing the interconnectedness of character evolution with broader processes in biology.","PeriodicalId":22120,"journal":{"name":"Systematic Biology","volume":"223 1","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systematic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/sysbio/syag034","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EVOLUTIONARY BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Phenotypes serve as the interface between organisms and their environments and are thus pivotal for comprehensive biological understanding. However, comparative analyses of species' phenotypes must account for the non-independence of characters imposed by the branching pattern of macroevolution. Methods to account for this phylogenetic non-independence have historically been conceived of as their own subfield: phylogenetic comparative methods (PCMs). In this conceptualization, a researcher takes a pre-existing phylogeny and uses it to correct for the non-independence of the character data that they wish to analyze. Here we argue that parallel developments in scientific philosophy, data availability, computational capacity, and model development have enabled a new paradigm of character evolution, where patterns of character evolution are seen as intrinsically related to the diversification process, and thus should be inferred jointly with the tree rather than reconstructed on an existing phylogeny in a two-step process. In the context of this paradigm shift, we review historical milestones in studies of character macroevolution and discuss major recent conceptual and methodological advances, with an emphasis on the opportunities and insights provided by the joint-inference perspective. We include primers on current topics in character evolution where joint inference is particularly effective, including: (1) state-dependent speciation and extinction models and the importance of cladogenetic change; (2) jointly modeling discrete and continuous characters; (3) accounting for hidden process variation in character evolution; (4) joint inference in divergence-time estimation; (5) joint inference of phylogeny and ancestral states, and; (6) joint inference of alignment and phylogeny. The article concludes with a reflection on the future trajectory of these methods, emphasizing the interconnectedness of character evolution with broader processes in biology.
性格宏观演化的演化观。
表型是生物体与其环境之间的界面,因此对全面的生物学理解至关重要。然而,物种表型的比较分析必须考虑到宏观进化的分支模式所施加的性状的非独立性。解释这种系统发育非独立性的方法历来被认为是它们自己的子领域:系统发育比较方法(PCMs)。在这种概念化中,研究人员采用预先存在的系统发育,并使用它来纠正他们希望分析的特征数据的非独立性。在这里,我们认为科学哲学、数据可用性、计算能力和模型开发的并行发展已经实现了一种新的性格进化范式,其中性格进化模式被视为与多样化过程内在相关,因此应该与树一起推断,而不是在现有的两步过程中重建系统发育。在这种范式转变的背景下,我们回顾了性格宏观进化研究的历史里程碑,并讨论了最近主要的概念和方法进展,重点是联合推理视角提供的机会和见解。我们包括关于当前特征进化主题的引子,其中联合推理特别有效,包括:(1)依赖状态的物种形成和灭绝模型以及枝生变化的重要性;(2)离散和连续特征联合建模;(3)考虑性格演化的隐性过程变异;(4)发散时间估计的联合推理;(5)系统发育和祖先状态的联合推断;(6)比对与系统发育的联合推断。文章最后对这些方法的未来发展轨迹进行了反思,强调了性状进化与生物学中更广泛过程的相互联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Systematic Biology
Systematic Biology 生物-进化生物学
CiteScore
13.00
自引率
7.70%
发文量
70
审稿时长
6-12 weeks
期刊介绍: Systematic Biology is the bimonthly journal of the Society of Systematic Biologists. Papers for the journal are original contributions to the theory, principles, and methods of systematics as well as phylogeny, evolution, morphology, biogeography, paleontology, genetics, and the classification of all living things. A Points of View section offers a forum for discussion, while book reviews and announcements of general interest are also featured.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书