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Growth rate as a modulator of tooth patterning during adaptive radiations

View ORCID ProfileAlexa Sadier, View ORCID ProfileNeal Anthwal, View ORCID ProfileAndrew L. Krause, View ORCID ProfileRenaud Dessalles, Michael Lake, Laurent Bentolila, View ORCID ProfileRobert Haase, Natalie Nieves, View ORCID ProfileSharlene Santana, View ORCID ProfileKaren Sears
doi: https://doi.org/10.1101/2021.12.05.471324
Alexa Sadier
1Department of Ecology and Evolutionary Biology, University of California Los Angeles, USA
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  • For correspondence: asadier@ucla.edu ksears@ucla.edu
Neal Anthwal
1Department of Ecology and Evolutionary Biology, University of California Los Angeles, USA
2Centre for Craniofacial and Regenerative Biology, King’s College London, UK
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Andrew L. Krause
3Mathematical Institute, University of Oxford, UK
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Renaud Dessalles
1Department of Ecology and Evolutionary Biology, University of California Los Angeles, USA
4Greenshield, 46 rue Saint-Antoine, 75004 PARIS, France
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Michael Lake
5CNSI, ALMS, University of California Los Angeles, USA
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Laurent Bentolila
5CNSI, ALMS, University of California Los Angeles, USA
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Robert Haase
6DFG Cluster of Excellence “Physics of Life”, TU Dresden, Germany
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Natalie Nieves
1Department of Ecology and Evolutionary Biology, University of California Los Angeles, USA
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Sharlene Santana
7Department of Biology and Burke Museum of Natural History and Culture, University of Washington, Seattle, WA,USA
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Karen Sears
1Department of Ecology and Evolutionary Biology, University of California Los Angeles, USA
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  • For correspondence: asadier@ucla.edu ksears@ucla.edu
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Abstract

The discovery of mechanistic rules that underlie phenotypic variation has been a longstanding goal of evolutionary biology. Developmental processes offer a potential source for such rules because they translate genomic variation into the population-scale phenotypic variation. However, our understanding of developmental rules is based on a handful of well-established model species which hindered identifying rules and investigating their evolution. Recent methodological advances, such as µCT scanning on soft tissues, two-photon imaging and modelling have facilitated the study of how developmental processes shape phenotypic variation in diverse, non-traditional model species. Here, we use the outstanding dental diversity of bats to investigate how the interplay between developmental processes can explain the morphological diversity in teeth. We find that the inhibitory cascade model, which has been used to predict the proportions of teeth and other serial organs, poorly predicts the variation in tooth number and size in bats. Instead, by tinkering with reaction/diffusion processes, we identify jaw growth as a key driver of the phenotypic evolution of tooth number and size critical to the different diets. By studying developmental processes in the context of adaptive evolution, we are able to discover a new developmental rule that explain and predict interspecific variation in serial organ number and proportion.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted December 07, 2021.
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Growth rate as a modulator of tooth patterning during adaptive radiations
Alexa Sadier, Neal Anthwal, Andrew L. Krause, Renaud Dessalles, Michael Lake, Laurent Bentolila, Robert Haase, Natalie Nieves, Sharlene Santana, Karen Sears
bioRxiv 2021.12.05.471324; doi: https://doi.org/10.1101/2021.12.05.471324
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Growth rate as a modulator of tooth patterning during adaptive radiations
Alexa Sadier, Neal Anthwal, Andrew L. Krause, Renaud Dessalles, Michael Lake, Laurent Bentolila, Robert Haase, Natalie Nieves, Sharlene Santana, Karen Sears
bioRxiv 2021.12.05.471324; doi: https://doi.org/10.1101/2021.12.05.471324

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