Evolutionary tradeoffs and the geometry of gene expression space [electronic resource] / Uri Alon.

By: Alon, Uri, 1969- [spk]Material type: FilmFilmSeries: Henry Stewart talksBiomedical & life sciences collection. Systems biology: Publisher: London : Henry Stewart Talks, 2014Description: 1 online resource (1 streaming video file (36 min.) : color, sound)Subject(s): Bioinformatics | Biological models | Evolution (Biology) | Gene expression | Mathematical optimization | Molecular biology | Morphology (Animals) | Phenotype | Beak -- anatomy & histology | Biological Evolution | Computational Biology | Evolution, Molecular | Fossils -- anatomy & histology | Gene Expression | Genes, Bacterial | Genetic Fitness | Models, Biological | Models, Statistical | Phenotype | Selection, Genetic | Systems BiologyOnline resources: Click here to access online | Series
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.
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Animated audio-visual presentation with synchronized narration.

Title from title frames.

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.

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