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      How to tuna fish: constraint, convergence, and integration in the neurocranium of pelagiarian fishes

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          Abstract

          Morphological evolution of the vertebrate skull has been explored across a wide range of tetrapod clades using geometric morphometrics, but the application of these methods to teleost fishes, accounting for roughly half of all vertebrate species, has been limited. Here we present the results of a study investigating 3D morphological evolution of the neurocranium across 114 species of Pelagiaria, a diverse clade of open-ocean teleost fishes that includes tuna and mackerel. Despite showing high shape disparity overall, taxa from all families fall into three distinct morphological clusters. Convergence in shape within clusters is high, and phylogenetic signal in shape data is significant but low. Neurocranium shape is significantly correlated with body elongation and significantly but weakly correlated with size. Diet and habitat depth are weakly correlated with shape, and nonsignificant after accounting for phylogeny. Evolutionary integration in the neurocranium is high, suggesting that convergence in skull shape and the evolution of extreme morphologies are associated with the correlated evolution of neurocranial elements. These results suggest that shape evolution in the pelagiarian neurocranium reflects the extremes in elongation found in body shape but is constrained along relatively few axes of variation, resulting in repeated evolution toward a restricted range of morphologies.

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                Author and article information

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                Journal
                Evolution
                Oxford University Press (OUP)
                0014-3820
                1558-5646
                June 01 2023
                June 01 2023
                March 30 2023
                June 01 2023
                June 01 2023
                March 30 2023
                : 77
                : 6
                : 1277-1288
                Article
                10.1093/evolut/qpad056
                36995728
                2e8dde4e-a9ae-43b3-a60c-8028d77d4081
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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