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Molecular Biology and Evolution
Article . 2020 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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https://dx.doi.org/10.48550/ar...
Article . 2019
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Physical Constraints on Epistasis

Authors: Husain, Kabir; Murugan, Arvind;

Physical Constraints on Epistasis

Abstract

Abstract Living systems evolve one mutation at a time, but a single mutation can alter the effect of subsequent mutations. The underlying mechanistic determinants of such epistasis are unclear. Here, we demonstrate that the physical dynamics of a biological system can generically constrain epistasis. We analyze models and experimental data on proteins and regulatory networks. In each, we find that if the long-time physical dynamics is dominated by a slow, collective mode, then the dimensionality of mutational effects is reduced. Consequently, epistatic coefficients for different combinations of mutations are no longer independent, even if individually strong. Such epistasis can be summarized as resulting from a global nonlinearity applied to an underlying linear trait, that is, as global epistasis. This constraint, in turn, reduces the ruggedness of the sequence-to-function map. By providing a generic mechanistic origin for experimentally observed global epistasis, our work suggests that slow collective physical modes can make biological systems evolvable.

Related Organizations
Keywords

Models, Genetic, Molecular Networks (q-bio.MN), Populations and Evolution (q-bio.PE), FOS: Physical sciences, Epistasis, Genetic, Biomolecules (q-bio.BM), Evolution, Molecular, Quantitative Biology - Biomolecules, Models, Chemical, Biological Physics (physics.bio-ph), FOS: Biological sciences, Mutation, Quantitative Biology - Molecular Networks, Gene Regulatory Networks, Physics - Biological Physics, Quantitative Biology - Populations and Evolution

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
42
Top 10%
Top 10%
Top 10%
Green
gold