Evidence map›Paper›PMID 41014226›Full record

ArticleSystematic biology2026

Evolutionary Rate Incongruences in Squamates Reveal Contrasting Patterns of Evolutionary Novelties and Innovation.

Tiago R Simões, Arthur S Brum, Stephanie E Pierce

Erratum issuedAbstract read
In one paragraph

Article in Systematic biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Tiago R SimõesDepartment of Ecology and Evolutionary Biology, Princeton University, 11 Ivy Lane, Princeton NJ, 08544, USA.ORCID 0000-0003-4716-649X
Arthur S BrumLaboratório de Sistemática e Biogeografia, Departamento de Zoologia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 20940-040, Brazil.
Stephanie E PierceMuseum of Comparative Zoology and Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0003-0717-1841

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico of Brazil #151134Conselho Nacional de Desenvolvimento Científico e Tecnológico of Brazil 2024-3Museum of Comparative Zoology/Harvard UniversityNational Science Foundation 2323124
6 · The paper itself

Abstract

Understanding the rate of phenotypic evolution can reveal fundamental aspects of organismal evolutionary trajectories. Hence, several studies have attempted to detect the tempo of evolution for multiple organisms, although based on different data types (e.g., discrete and morphometric) and methods (phylodynamic vs. comparative methods). Here, we ask whether these competing approaches provide comparable estimates of rate trajectories using an expanded squamate phylogenetic dataset that is matched (to the species-level) with new geometric morphometric data, while also assessing method robustness to fossil sampling. Our new squamate total-evidence time-tree suggests a new placement for several putative stem pleurodontan iguanians (Temujinidae) as stem acrodontans, whereas matching divergence time estimates of recent phylogenomic studies. We show that low fossil sampling inadvertently removes entire regions of the morphospace and leads to contraction of crown clade phenotypic diversity, as morphospace boundaries are frequently delimited by transitional fossils. Critically, different data types produce incongruent rate patterns, which are further exacerbated by methodological differences. We suggest that phylogenetic discrete data (i.e., characters) are strongly influenced by neomorphisms and reveal phenotypic novelties, whereas morphometric data (i.e., shape) reflect changes in phenotypic refinement leading to phenotypic innovation. This conceptual distinction conciliates discrepant macroevolution trajectories across squamates, which we expect to be generalizable to other systems across the Tree of Life.

Indexed as

Biological EvolutionClassificationPhylogenyAnimalsFossilsEvolutionary ratesmacroevolutionmorphospacephylodynamicsphylogenetic comparative methodssquamates

Identifiers

PMID41014226
PMCPMC13048008

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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.