Related Experiment Video
Updated: Nov 10, 2025

09:01
The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents
Published on: July 8, 2015
12.8K
Mammal Molar Size Ratios and the Inhibitory Cascade at the Intraspecific Scale.
N S Vitek1,2, C C Roseman3, J I Bloch2
1Department of Ecology & Evolution, Stony Brook University, 632 Life Sciences Building, Stony Brook, NY 11794-5245, USA.
Integrative Organismal Biology (Oxford, England)
|April 1, 2021
Summary
Mammalian molar size variation does not fit the inhibitory cascade model (ICM) or molar module component (MMC) model in cotton mice. This study provides sampling guidelines for future research on molar covariation across mammals.
Area of Science:
- Evolutionary biology
- Comparative anatomy
- Mammalian anatomy
Background:
- Mammalian molar crowns exhibit size covariation, often explained by the inhibitory cascade model (ICM) or molar module component (MMC) model.
- The ICM's applicability across biological scales, particularly at the intraspecific level, remains a concern, with limited testing in primates.
Purpose of the Study:
- To assess intraspecific variation in relative molar sizes of the cotton mouse (*Peromyscus gossypinus*).
- To test the ICM and MMC models at the intraspecific level.
- To develop recommendations for appropriate sampling protocols in future intraspecific studies of molar size variation across Mammalia.
Main Methods:
- Modeling the sensitivity of molar ratio estimates to sample size in cotton mice.
- Simulating the use of composite molar rows when complete rows are unavailable.
- Analyzing intraspecific variance structure and average ratio values.
Main Results:
- Intraspecific variance structure of molar ratios in *P. gossypinus* did not align with predictions of the ICM or MMC.
- Neither the ICM nor the MMC model provided a significantly better fit to observed variation.
- Standing variation in molar size ratios is consistent across mammalian samples with complete molar rows.
Conclusions:
- The ICM and MMC models require re-evaluation for intraspecific variation in molar size.
- Small sample sizes (≥2) are sufficient for estimating mean molar ratios, with composite specimens being useful.
- Large sample sizes (≥40-50) are necessary for analyzing variance structure, and composite rows are unsuitable for this purpose.

