MPG.eBooks - Table of Contents: Evolutionary tradeoffs and the geometry of gene expression space

Read Now

Bibliographic Details
Main Author:	Alon, Uri
Format:	eBook
Language:	English
Published:	London Henry Stewart Talks 2014, 2014
Series:	Systems biology
Subjects:	Systems Biology Fossils / Anatomy & Histology Molecular Biology Genes, Bacterial Selection, Genetic Bioinformatics Morphology (animals) Biological Evolution Phenotype Evolution, Molecular Gene Expression Genetic Fitness Beak / Anatomy & Histology Evolution (biology) Biological Models Models, Biological Computational Biology Models, Statistical Mathematical Optimization
Online Access:	https://hstalks.com/bs/p/876 https://hstalks.com/bs/2938
Collection:	Henry Stewart Talks - Collection details see MPG.ReNa

Table of 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.