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A computational model of teeth and the developmental origins of morphological variation

Author

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  • Isaac Salazar-Ciudad

    (Departament de Genètica i Microbiologia, Facultat de Biociències, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain
    Developmental Biology Program, Institute of Biotechnology, University of Helsinki, PO Box 56, FIN-00014 Helsinki, Finland)

  • Jukka Jernvall

    (Developmental Biology Program, Institute of Biotechnology, University of Helsinki, PO Box 56, FIN-00014 Helsinki, Finland
    Stony Brook University, Stony Brook, New York 11794, USA)

Abstract

Phenotypes on the map The connection between genes (genotype) and the adult form of an organism (phenotype) is not a simple matter of one-to-one mapping. The nonlinear process of development intervenes, dependent on various genetic inputs and interactions between cells. Using a well studied system, the mammalian tooth, Isaac Salazar-Ciudad and Jukka Jernvall have developed a computational model to bridge the gap between genotype and phenotype. Based on data from seal teeth, which show extensive morphological variation, they find that a much of the dental variation can be explained by changes in single model parameters. This work could be a step towards understanding the contribution of genes and development to variation and, therefore, to evolution.

Suggested Citation

  • Isaac Salazar-Ciudad & Jukka Jernvall, 2010. "A computational model of teeth and the developmental origins of morphological variation," Nature, Nature, vol. 464(7288), pages 583-586, March.
    • Handle: RePEc:nat:nature:v:464:y:2010:i:7288:d:10.1038_nature08838
    DOI: 10.1038/nature08838
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    Cited by:

    1. R. Allena & J. Muñoz & D. Aubry, 2013. "Diffusion-reaction model for embryo development," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 16(3), pages 235-248.
    2. González-Forero, Mauricio, 2024. "A mathematical framework for evo-devo dynamics," Theoretical Population Biology, Elsevier, vol. 155(C), pages 24-50.
    3. Yunpeng Wang & Arne B Gjuvsland & Jon Olav Vik & Nicolas P Smith & Peter J Hunter & Stig W Omholt, 2012. "Parameters in Dynamic Models of Complex Traits are Containers of Missing Heritability," PLOS Computational Biology, Public Library of Science, vol. 8(4), pages 1-9, April.
    4. Yunpeng Wang & Jon Olav Vik & Stig W Omholt & Arne B Gjuvsland, 2013. "Effect of Regulatory Architecture on Broad versus Narrow Sense Heritability," PLOS Computational Biology, Public Library of Science, vol. 9(5), pages 1-12, May.
    5. Yanyan Chen & Javier Buceta, 2019. "A non-linear analysis of Turing pattern formation," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-9, August.

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