{"title":"Evolutionary rate incongruences in squamates reveal contrasting patterns of evolutionary novelties and innovation.","authors":"Tiago R Simões,Arthur S Brum,Stephanie E Pierce","doi":"10.1093/sysbio/syaf067","DOIUrl":null,"url":null,"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 datatypes (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, while 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 datatypes 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, while morphometric data (i.e., shape) reflects 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.","PeriodicalId":22120,"journal":{"name":"Systematic Biology","volume":"28 1","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2025-09-27","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/syaf067","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
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 datatypes (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, while 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 datatypes 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, while morphometric data (i.e., shape) reflects 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.
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.