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Maximum mutational robustness in genotype-phenotype maps follows a self-similar blancmange-like curve

Abstract:
Phenotype robustness, defined as the average mutational robustness of all the genotypes that map to a given phenotype, plays a key role in facilitating neutral exploration of novel phenotypic variation by an evolving population. By applying results from coding theory, we prove that the maximum phenotype robustness occurs when genotypes are organized as bricklayer's graphs, so-called because they resemble the way in which a bricklayer would fill in a Hamming graph. The value of the maximal robustness is given by a fractal continuous everywhere but differentiable nowhere sums-of-digits function from number theory. Interestingly, genotype-phenotype maps for RNA secondary structure and the hydrophobic-polar (HP) model for protein folding can exhibit phenotype robustness that exactly attains this upper bound. By exploiting properties of the sums-of-digits function, we prove a lower bound on the deviation of the maximum robustness of phenotypes with multiple neutral components from the bricklayer's graph bound, and show that RNA secondary structure phenotypes obey this bound. Finally, we show how robustness changes when phenotypes are coarse-grained and derive a formula and associated bounds for the transition probabilities between such phenotypes.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsif.2023.0169

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Oxford college:
Christ Church
Role:
Author
ORCID:
0000-0003-1475-4228
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Role:
Author
ORCID:
0000-0003-4452-2006
More by this author
Role:
Author
ORCID:
0000-0003-4423-3255


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Grant:
Google PhD Fellowship


Publisher:
Royal Society
Journal:
Journal of the Royal Society Interface More from this journal
Volume:
20
Issue:
204
Article number:
20230169
Place of publication:
England
Publication date:
2023-07-26
Acceptance date:
2023-06-27
DOI:
EISSN:
1742-5662
ISSN:
1742-5689
Pmid:
37491910


Language:
English
Keywords:
Pubs id:
1499407
Local pid:
pubs:1499407
Deposit date:
2024-02-28

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