Evolutionary tradeoffs and the geometry of gene expression space
Other Authors: | |
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Format: | Electronic |
Language: | English |
Published: |
London :
Henry Stewart Talks,
2014
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Series: | Henry Stewart talks Biomedical & life sciences collection. Systems biology.
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Subjects: |
Table of Contents:
- Contents: Organisms, tissues and molecules often need to perform multiple tasks
- Usually no phenotype can be optimal at all tasks at once which leads to a fundamental tradeoff
- We study this using the concept of Pareto optimality from engineering and economics
- Tradeoffs lead to an unexpected simplicity in the range of optimal phenotypes; they fall on low dimensional shapes in trait space such as lines, triangles and tetrahedrons
- At the vertices of these polygons are phenotypes that specialize at a single task
- We demonstrate this using data from animal and fossil morphology, bacterial gene expression and other biological systems.