Evidence map›Paper›PMID 41967965›Full record

ReviewSystematic biology2026

An Evolving View of Character Macroevolution.

Carrie M Tribble, Jesús Martínez-Gómez, Carl J Rothfels, Michael R May

Abstract readReview
In one paragraph

Review in Systematic biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Carrie M TribbleDepartment of Biology, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-7263-7885
Jesús Martínez-GómezDepartment of Plant and Microbial Biology and Integrative Biology, University of California, Berkeley, CA 94720, USA.ORCID 0000-0001-6466-5659
Carl J RothfelsDepartment of Biology and Ecology Center, Utah State University, Logan, UT 84322, USA.ORCID 0000-0002-6605-1770
Michael R MayDepartment of Biology and Ecology Center, Utah State University, Logan, UT 84322, USA.ORCID 0000-0002-5031-4820

Funding

NSF CAREER #2144011NSF Postdoctoral Research Fellowships in Biology Program #2209159
6 · The paper itself

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.

Indexed as

Biological EvolutionClassificationPhenotypePhylogenyAnimalsModels, BiologicalAlignment inferenceancestral-state estimationBayesian inferenceBrownian motionhidden-state modelsindel modelsjoint inferencephylogenetic comparative methodsSSE modelsstochastic character mapsstructured Markov modelsthreshold modeltotal-evidence dating

Identifiers

PMID41967965
PMCPMC13260661

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.