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Quantitative Relationships Between Growth, Differentiation, and Shape That Control Eye Development and Its Variation

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Specialty Cell Biology
Date 2021 Aug 5
PMID 34350178
Citations 2
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Abstract

The size of organs is critical for their function and often a defining trait of a species. Still, how organs reach a species-specific size or how this size varies during evolution are problems not yet solved. Here, we have investigated the conditions that ensure growth termination, variation of final size and the stability of the process for developmental systems that grow and differentiate simultaneously. Specifically, we present a theoretical model for the development of the eye, a system where a wave of differentiation sweeps across a growing primordium. This model, which describes the system in a simplified form, predicts universal relationships linking final eye size and developmental time to a single parameter which integrates genetically-controlled variables, the rates of cell proliferation and differentiation, with geometrical factors. We find that the predictions of the theoretical model show good agreement with previously published experimental results. We also develop a new computational model that recapitulates the process more realistically and find concordance between this model and theory as well, but only when the primordium is circular. However, when the primordium is elliptical both models show discrepancies. We explain this difference by the mechanical interactions between cells, an aspect that is not included in the theoretical model. Globally, our work defines the quantitative relationships between rates of growth and differentiation and organ primordium size that ensure growth termination (and, thereby, specify final eye size) and determine the duration of the process; identifies geometrical dependencies of both size and developmental time; and uncovers potential instabilities of the system which might constraint developmental strategies to evolve eyes of different size.

Citing Articles

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PMID: 38289899 PMC: 10826937. DOI: 10.1371/journal.pbio.3002450.


EyeVolve, a modular PYTHON based model for simulating developmental eye type diversification.

Lavin R, Rathore S, Bauer B, Disalvo J, Mosley N, Shearer E Front Cell Dev Biol. 2022; 10:964746.

PMID: 36092740 PMC: 9459020. DOI: 10.3389/fcell.2022.964746.

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