An Evolving View of Character Macroevolution.
Saved in:
| Title: | An Evolving View of Character Macroevolution. |
|---|---|
| Authors: | Tribble, Carrie M1 (AUTHOR), Martínez-Gómez, Jesús2 (AUTHOR), Rothfels, Carl J3 (AUTHOR), May, Michael R3 (AUTHOR) |
| Source: | Systematic Biology. Jul2026, Vol. 75 Issue 4, p617-641. 25p. |
| Subjects: | Macroevolution, Phylogenetic models, Phylogeny, Molecular clock, Biological evolution, Quantitative genetics, Adaptive radiation |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Systematic Biology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 194674266 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: An Evolving View of Character Macroevolution. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tribble%2C+Carrie+M%22">Tribble, Carrie M</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martínez-Gómez%2C+Jesús%22">Martínez-Gómez, Jesús</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rothfels%2C+Carl+J%22">Rothfels, Carl J</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22May%2C+Michael+R%22">May, Michael R</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Systematic+Biology%22">Systematic Biology</searchLink>. Jul2026, Vol. 75 Issue 4, p617-641. 25p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Macroevolution%22">Macroevolution</searchLink><br /><searchLink fieldCode="DE" term="%22Phylogenetic+models%22">Phylogenetic models</searchLink><br /><searchLink fieldCode="DE" term="%22Phylogeny%22">Phylogeny</searchLink><br /><searchLink fieldCode="DE" term="%22Molecular+clock%22">Molecular clock</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+evolution%22">Biological evolution</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+genetics%22">Quantitative genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+radiation%22">Adaptive radiation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Systematic Biology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194674266 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/sysbio/syag034 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 617 Subjects: – SubjectFull: Macroevolution Type: general – SubjectFull: Phylogenetic models Type: general – SubjectFull: Phylogeny Type: general – SubjectFull: Molecular clock Type: general – SubjectFull: Biological evolution Type: general – SubjectFull: Quantitative genetics Type: general – SubjectFull: Adaptive radiation Type: general Titles: – TitleFull: An Evolving View of Character Macroevolution. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tribble, Carrie M – PersonEntity: Name: NameFull: Martínez-Gómez, Jesús – PersonEntity: Name: NameFull: Rothfels, Carl J – PersonEntity: Name: NameFull: May, Michael R IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10635157 Numbering: – Type: volume Value: 75 – Type: issue Value: 4 Titles: – TitleFull: Systematic Biology Type: main |
| ResultId | 1 |
