Ghezelayagh, Ava, Harrington, Richard C., Burress, Edward D., Campbell, Matthew A., Buckner, Janet C., Chakrabarty, Prosanta, Glass, Jessica R., McCraney, W. Tyler, Unmack, Peter J., Thacker, Christine E., Alfaro, Michael E., Friedman, Sarah T., Ludt, William B., Cowman, Peter F., Friedman, Matt, Price, Samantha A., Dornburg, Alex, Faircloth, Brant C., Wainwright, Peter C., and Near, Thomas J. (2022) Prolonged morphological expansion of spiny-rayed fishes following the end-Cretaceous. Nature Ecology & Evolution, 6. pp. 1211-1220.

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Abstract

Spiny-rayed fishes (Acanthomorpha) dominate modern marine habitats and account for more than a quarter of all living vertebrate species. Previous time-calibrated phylogenies and patterns from the fossil record explain this dominance by correlating the origin of major acanthomorph lineages with the Cretaceous–Palaeogene mass extinction. Here we infer a time-calibrated phylogeny using ultraconserved elements that samples 91.4% of all acanthomorph families and investigate patterns of body shape disparity. Our results show that acanthomorph lineages steadily accumulated throughout the Cenozoic and underwent a significant expansion of among-clade morphological disparity several million years after the end-Cretaceous. These acanthomorph lineages radiated into and diversified within distinct regions of morphospace that characterize iconic lineages, including fast-swimming open-ocean predators, laterally compressed reef fishes, bottom-dwelling flatfishes, seahorses and pufferfishes. The evolutionary success of spiny-rayed fishes is the culmination of multiple species-rich and phenotypically disparate lineages independently diversifying across the globe under a wide range of ecological conditions.

Item ID:	80242
Item Type:	Article (Research - C1)
ISSN:	2397-334X
Copyright Information:	© 2023 Springer Nature Limited.
Funders:	Australian Research Council (ARC)
Projects and Grants:	ARC DE170100516
Date Deposited:	01 Sep 2023 06:46
FoR Codes:	31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310203 Computational ecology and phylogenetics @ 20% 31 BIOLOGICAL SCIENCES > 3104 Evolutionary biology > 310401 Animal systematics and taxonomy @ 20% 31 BIOLOGICAL SCIENCES > 3104 Evolutionary biology > 310410 Phylogeny and comparative analysis @ 60%
SEO Codes:	28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280102 Expanding knowledge in the biological sciences @ 100%
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