Empirical fitness landscapes and the predictability of evolution
| Autor: | J. Arjan G. M. de Visser, Joachim Krug |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Genotype
Fitness landscape Adaptation Biological deleterious mutations Saccharomyces cerevisiae adaptation Biology Laboratorium voor Erfelijkheidsleer adaptive trajectories Methylobacterium extorquens Escherichia coli Genetics Computer Simulation Selection Genetic Predictability sign epistasis Molecular Biology Genetics (clinical) Experimental evolution Natural selection model Models Genetic Human evolutionary genetics Drug Resistance Microbial PE&RC Biological Evolution Data science beneficial mutations Anti-Bacterial Agents antibiotic-resistance sequence space Evolutionary biology Mutation Epistasis Laboratory of Genetics escherichia-coli population Aspergillus niger Genetic Fitness Sequence space (evolution) Adaptation natural-selection |
| Zdroj: | Nature Reviews Genetics, 15, 480-490 Nature Reviews Genetics 15 (2014) |
| ISSN: | 1471-0056 |
| Popis: | A central topic in biology concerns how genotypes determine phenotypes and functions of organisms that affect their evolutionary fitness. This Review discusses recent advances in the development of empirical fitness landscapes and their contribution to theoretical analyses of the predictability of evolution. The genotype–fitness map (that is, the fitness landscape) is a key determinant of evolution, yet it has mostly been used as a superficial metaphor because we know little about its structure. This is now changing, as real fitness landscapes are being analysed by constructing genotypes with all possible combinations of small sets of mutations observed in phylogenies or in evolution experiments. In turn, these first glimpses of empirical fitness landscapes inspire theoretical analyses of the predictability of evolution. Here, we review these recent empirical and theoretical developments, identify methodological issues and organizing principles, and discuss possibilities to develop more realistic fitness landscape models. |
| Databáze: | OpenAIRE |
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