On the difficulty of increasing dental complexity - Nature
- ️Jernvall, Jukka
- ️Wed Mar 07 2012
- Letter
- Published: 07 March 2012
Nature volume 483, pages 324–327 (2012)Cite this article
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Abstract
One of the fascinating aspects of the history of life is the apparent increase in morphological complexity through time1, a well known example being mammalian cheek tooth evolution2,3,4. In contrast, experimental studies of development more readily show a decrease in complexity, again well exemplified by mammalian teeth, in which tooth crown features called cusps are frequently lost in mutant and transgenic mice5,6,7. Here we report that mouse tooth complexity can be increased substantially by adjusting multiple signalling pathways simultaneously. We cultured teeth in vitro and adjusted ectodysplasin (EDA), activin A and sonic hedgehog (SHH) pathways, all of which are individually required for normal tooth development. We quantified tooth complexity using the number of cusps and a topographic measure of surface complexity8. The results show that whereas activation of EDA and activin A signalling, and inhibition of SHH signalling, individually cause subtle to moderate increases in complexity, cusp number is doubled when all three pathways are adjusted in unison. Furthermore, the increase in cusp number does not result from an increase in tooth size, but from an altered primary patterning phase of development. The combination of a lack of complex mutants5,6,7, the paucity of natural variants with complex phenotypes9, and our results of greatly increased dental complexity using multiple pathways, suggests that an increase may be inherently different from a decrease in phenotypic complexity.
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Acknowledgements
We thank I. Thesleff, P. Munne, A. R. Evans, I. Corfe, J. Moustakas, M. Murtoniemi, I. Salazar-Ciudad, S. Sova, J.-P. Suuronen and S. Zohdy for discussions or help; R. Santalahti, R. Savolainen and M. Mäkinen for technical assistance; M. Hyvönen for the activin A protein; P. Schneider for the Fc-EDA-A1-protein; and C. Tabin and A. Gritli-Linde for the ShhGFP mice. This study was funded by the Academy of Finland, the Sigrid Juselius Foundation, the Finnish Cultural Foundation, and the graduate school GSBM.
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Authors and Affiliations
Developmental Biology Program, Institute of Biotechnology, University of Helsinki, P.O. Box 56, FIN-00014 Helsinki, Finland,
Enni Harjunmaa, Maria Voutilainen, Marja L. Mikkola & Jukka Jernvall
Division of Materials Physics, Department of Physics, University of Helsinki, P.O. Box 64, FIN-00014 Helsinki, Finland,
Aki Kallonen & Keijo Hämäläinen
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- Enni Harjunmaa
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- Aki Kallonen
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- Maria Voutilainen
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- Keijo Hämäläinen
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- Marja L. Mikkola
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- Jukka Jernvall
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Contributions
E.H. and J.J. designed the study. E.H. performed developmental experiments and measurements. M.L.M. and M.V. designed and performed Eda;Edar transgenic mouse experiments. K.H. and A.K. designed and performed microtomography imaging. E.H. and J.J. analysed the data and wrote the manuscript with contributions from the other authors. J.J. coordinated the study.
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Correspondence to Jukka Jernvall.
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Harjunmaa, E., Kallonen, A., Voutilainen, M. et al. On the difficulty of increasing dental complexity. Nature 483, 324–327 (2012). https://doi.org/10.1038/nature10876
Received: 28 September 2011
Accepted: 17 January 2012
Published: 07 March 2012
Issue Date: 15 March 2012
DOI: https://doi.org/10.1038/nature10876
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Editorial Summary
The surprising evolution of complexity
Mammalian cheek teeth, or molars, are a good example of a general phenomenon: the accumulation of complexity through evolution. In the laboratory, however, the trend seems to be in the opposite direction, with experimental manipulations of development generally reducing complexity. This is seen in lab mice, in which tooth crown features called cusps are frequently lost by mutation. Here, Jukka Jernvall and colleagues show that mouse tooth complexity can in fact be experimentally increased using a cocktail of signalling proteins. The authors speculate that biological structures may tend to follow the economics of signalling, in which an increase in complexity beyond the normal variation present in a population requires multiple changes in developmental regulation.