期刊
JOURNAL OF THE ROYAL SOCIETY INTERFACE
卷 9, 期 74, 页码 2268-2278出版社
ROYAL SOC
DOI: 10.1098/rsif.2012.0119
关键词
distribution of mutational effects; statistical forecasting; fundamental theorem of natural selection; Price equation; cumulant expansion
资金
- US National Institutes of Health [R01 GM079843-01, ARRA R01GM079483-02S1]
- European Commission [FP7 231807]
A metaphor for adaptation that informs much evolutionary thinking today is that of mountain climbing, where horizontal displacement represents change in genotype, and vertical displacement represents change in fitness. If it were known a priori what the 'fitness landscape' looked like, that is, how the myriad possible genotypes mapped onto fitness, then the possible paths up the fitness mountain could each be assigned a probability, thus providing a dynamical theory with long-term predictive power. Such detailed genotype-fitness data, however, are rarely available and are subject to change with each change in the organism or in the environment. Here, we take a very different approach that depends only on fitness or phenotype-fitness data obtained in real time and requires no a priori information about the fitness landscape. Our general statistical model of adaptive evolution builds on classical theory and gives reasonable predictions of fitness and phenotype evolution many generations into the future.
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