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Testing the inhibitory cascade model in Mesozoic and Cenozoic mammaliaforms
Thomas J D Halliday1, Anjali Goswami
1Department of Earth Sciences, University College London, Gower Street, London, UK. thomas.halliday.11@ucl.ac.uk
BMC Evolutionary Biology
|April 10, 2013
Summary
The Inhibitory Cascade (IC) Model accurately predicts mammalian molar size evolution in most species. This developmental constraint on tooth size has persisted for at least 180 million years in mammals.
Area of Science:
- Evolutionary developmental biology (Evo-Devo)
- Paleontology
- Mammalian evolutionary history
Background:
- Evolutionary development studies link developmental pathways to morphological evolution.
- Tooth morphology is a valuable model for evo-devo due to its fossil record and phylogenetic utility.
- The Inhibitory Cascade (IC) Model proposes a developmental mechanism for mammalian lower molar size evolution.
Purpose of the Study:
- To test the predictions of the Inhibitory Cascade (IC) Model across diverse mammalian taxa.
- To investigate the evolutionary constraints on mammalian tooth size.
- To determine the ancestral state of molar size regulation in mammals.
Main Methods:
- Analysis of tooth morphology in a wide range of extant and fossil mammalian groups.
- Comparison of observed molar size patterns with predictions from the IC Model.
- Statistical analysis of taxon distribution based on diet and phylogenetic relationships.
Main Results:
- Approximately 65% of tested taxa conform to the IC Model's predictions for molar size.
- Extinct groups, particularly 'condylarths', and some Mesozoic mammals showed deviations from the IC Model.
- Taxon distribution was significantly influenced by diet and phylogenetic clustering.
Conclusions:
- The IC Model is supported as a plesiomorphic (ancestral) developmental system for Mammalia.
- Mammalian tooth size has been under this developmental constraint since at least 180 million years ago.
- Deviations from the IC Model likely represent secondary evolutionary changes rather than alternative ancestral models.

