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Published on: October 1, 2011
Morphogens in the evolution of size, shape and patterning
Lewis S Mosby1,2,3, Amy E Bowen1,2,3, Zena Hadjivasiliou1,2,3
1Mathematical and Physical Biology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
Conserved developmental mechanisms, like morphogen-mediated patterning, can evolve to drive organismal diversity. Evolution algorithms and computational tools help uncover how these mechanisms adapt and diversify life.
Area of Science:
- Developmental biology
- Evolutionary biology
- Computational biology
Background:
- Organismal diversity arises from variations in conserved molecular and network mechanisms during development.
- Understanding the evolutionary potential and constraints of these conserved mechanisms is limited.
Purpose of the Study:
- To investigate how conserved developmental mechanisms, specifically morphogen-mediated patterning, adapt during evolution.
- To demonstrate the role of evolution algorithms and computational tools in studying the evolution of developmental mechanisms.
- To provide a framework for understanding morphological diversification driven by conserved developmental processes.
Main Methods:
- Review of conserved properties of morphogen-driven patterning.
- Summarization of comparative studies on morphogen spatiotemporal expression and signaling levels.
- Detailing the use of theoretical frameworks and computational tools alongside experiments.
Main Results:
- Morphogen-mediated patterning exhibits conserved properties that can adapt during evolution.
- Changes in morphogen expression and signaling impact organ size, shape, and patterning diversity.
- Evolution algorithms and computational tools offer insights into the evolution of these mechanisms.
Conclusions:
- Morphogen-mediated patterning is a powerful model system for studying the evolution of developmental mechanisms.
- Conserved developmental mechanisms can drive significant morphological diversification and optimize functionality.
- A generally applicable framework exists for investigating the evolution of developmental processes.
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