Statistical theory of phenotype abundance distributions: a test through exact enumeration of genotype spaces
arXiv:1806.03885 · doi:10.1209/0295-5075/123/28001
Abstract
The evolutionary dynamics of molecular populations are strongly dependent on the structure of genotype spaces. The map between genotype and phenotype determines how easily genotype spaces can be navigated and the accessibility of evolutionary innovations. In particular, the size of neutral networks corresponding to specific phenotypes and its statistical counterpart, the distribution of phenotype abundance, have been studied through multiple computationally tractable genotype-phenotype maps. In this work, we test a theory that predicts the abundance of a phenotype and the corresponding asymptotic distribution (given the compositional variability of its genotypes) through the exact enumeration of several GP maps. Our theory predicts with high accuracy phenotype abundance, and our results show that, in navigable genotype spaces ---characterised by the presence of large neutral networks---, phenotype abundance converges to a log-normal distribution.
arXiv comment9 pages, 7 figures, 4 appendixes, uses epl2.cls
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Cited by in corpus (4)
- From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics
- On the networked architecture of genotype spaces and its critical effects on molecular evolution
- Recombination and mutational robustness in neutral fitness landscapes
- Entropic contribution to phenotype fitness