This page serves supplemental imagery for a paper entitled Assembling the Squamate Tree of Life: Perspectives from the Phenotype and the Fossil Record by J.A. Gauthier, M. Kearney, J.A. Maisano, O. Rieppel, and A.D.B. Behlke (Bulletin of the Peabody Museum of Natural History, 53, 3-308, 2012). The abstract is as follows:
We assembled a dataset of 192 carefully selected species — 51 extinct and 141 extant — and 976 apomorphies distributed among 610 phenotypic characters to investigate the phylogeny of Squamata (“lizards,” including snakes and amphisbaenians). These data enabled us to infer a tree much like those derived from previous morphological analyses, but with better support for some key clades. There are also several novel elements, some of which pose striking departures from traditional ideas about lizard evolution (e.g., that mosasaurs and polyglyphanodontians are on the scleroglossan stem, rather than parts of the crown, and related to varanoids and teiids, respectively). Long-bodied, limb-reduced, “snake-like” fossorial lizards — most notably dibamids, amphisbaenians and snakes — have been and continue to be the chief source of character conflict in squamate morphological phylogenetics. Carnivorous lizards (especially snakes, mosasaurs and varanoids) have proven a close second. Genetic data, presumably less burdened by the potential for adaptive convergence related to fossoriality, were expected to resolve these conflicts. Although recent gene phylogenies seem to do so, they also differ radically from any phylogeny based on the phenotype, especially for the most ancient crown squamate divergences that occurred during the latter half of the Mesozoic. Our study relied on traditionally prepared specimens as well as high-resolution computed tomography scans that afforded unprecedented access to the cranial anatomy of Squamata. This, along with the inclusion of stem fossils, provided an unparalleled sample of the phenotype enabling us to more fully explore the extreme incongruences between molecular and morphological topologies for the squamate tree of life. Despite this extensive new database, we were unable to find morphological support for the major rearrangement of the deep divergences in Squamata proposed by recent molecular studies. Instead, our data strongly support the same fundamental topology suggested by most previous morphological studies — an Iguania-Scleroglossa basal split, a sister-group relationship between Gekkota and Autarchoglossa, and the divergence between Anguimorpha and Scincomorpha — and documents the extreme degree of morphological homoplasy required by those molecular topologies.
About the Species
This specimen was collected from Tonle Sap Lake, Chong Khneas Port, Siem Reap Province, Cambodia by B. L. Stuart and S. G. Platt 10 August 2000. It was made available to The University of Texas High-Resolution X-ray CT Facility for scanning by Dr. Jessie Maisano of The University of Texas at Austin and Mr. Alan Resetar of the Field Museum. Funding for scanning was provided by an NSF grant (DEB-0132227) to Dr. Jack Sites of Brigham Young University. Funding for image processing was provided by a National Science Foundation Assembling the Tree of Life grant (EF-0334961), The Deep Scaly Project: Resolving Squamate Phylogeny using Genomic and Morphological Approaches, to Drs. Jacques Gauthier of Yale University, Maureen Kearney of the Field Museum, Jessie Maisano of The University of Texas at Austin, Tod Reeder of San Diego State University, Olivier Rieppel of the Field Museum, Jack Sites of Brigham Young University, and John Wiens of SUNY Stonybrook.
Lateral view of the scanned specimen.
About this Specimen
The specimen was scanned by Matthew Colbert on 20 July 2004 along the coronal axis for a total of 705 slices. Each slice is 0.067 mm thick, with an interslice spacing of 0.067 mm and a field of reconstruction of 29 mm.
About the Scan
Literature & Links
Three-dimensional volumetric renderings of the skull with the hyoid and jaw removed, and of the isolated left mandible. All are less than 2mb.
Additional Imagery
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