ArticleSystematic biology2026
Evolutionary Rate Incongruences in Squamates Reveal Contrasting Patterns of Evolutionary Novelties and Innovation.
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.
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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.
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Who cites it
2 citing papers in PubMed.
- Article
- Evolutionary stasis in synapsid encephalization during the end-permian mass extinction.Scientific reports · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
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.
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