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Synchrotron tomography of a stem lizard elucidates early squamate anatomy.

Mateusz TałandaVincent FernandezElsa PanciroliSusan E EvansRoger B J Benson
Published in: Nature (2022)
Squamates (lizards and snakes) include more than 10,000 living species, descended from an ancestor that diverged more than 240 million years ago from that of their closest living relative, Sphenodon. However, a deficiency of fossil evidence 1-7 , combined with serious conflicts between molecular and morphological accounts of squamate phylogeny 8-13 (but see ref.  14 ), has caused uncertainty about the origins and evolutionary assembly of squamate anatomy. Here we report the near-complete skeleton of a stem squamate, Bellairsia gracilis, from the Middle Jurassic epoch of Scotland, documented using high-resolution synchrotron phase-contrast tomography. Bellairsia shares numerous features of the crown group, including traits related to cranial kinesis (an important functional feature of many extant squamates) and those of the braincase and shoulder girdle. Alongside these derived traits, Bellairsia also retains inferred ancestral features including a pterygoid-vomer contact and the presence of both cervical and dorsal intercentra. Phylogenetic analyses return strong support for Bellairsia as a stem squamate, suggesting that several features that it shares with extant gekkotans are plesiomorphies, consistent with the molecular phylogenetic hypothesis that gekkotans are early-diverging squamates. We also provide confident support of stem squamate affinities for the enigmatic Oculudentavis. Our findings indicate that squamate-like functional features of the suspensorium, braincase and shoulder girdle preceded the origin of their palatal and vertebral traits and indicate the presence of advanced stem squamates as persistent components of terrestrial assemblages up to at least the middle of the Cretaceous period.
Keyphrases
  • genome wide
  • high resolution
  • spinal cord
  • machine learning
  • muscular dystrophy
  • magnetic resonance
  • computed tomography
  • deep learning
  • dna methylation
  • body composition
  • genetic diversity