Atomistic simulation of protein evolution reveals sequence covariation and time-dependent fluctuations of site-specific substitution rates
Norn, Christoffer LU and André, Ingemar LU
(2023)
In PLoS Computational Biology
19(3 March).
- Abstract
Thermodynamic stability is a crucial fitness constraint in protein evolution and is a central factor in shaping the sequence landscapes of proteins. The correlation between stability and molecular fitness depends on the mechanism that relates the biophysical property with biological function. In the simplest case, stability and fitness are related by the amount of folded protein. However, when proteins are toxic in the unfolded state, the fitness function shifts, resulting in higher stability under mutation-selection balance. Likewise, a higher population size results in a similar change in protein stability, as it magnifies the effect of the selection pressure in evolutionary dynamics. This study investigates how such factors affect... (More)
Thermodynamic stability is a crucial fitness constraint in protein evolution and is a central factor in shaping the sequence landscapes of proteins. The correlation between stability and molecular fitness depends on the mechanism that relates the biophysical property with biological function. In the simplest case, stability and fitness are related by the amount of folded protein. However, when proteins are toxic in the unfolded state, the fitness function shifts, resulting in higher stability under mutation-selection balance. Likewise, a higher population size results in a similar change in protein stability, as it magnifies the effect of the selection pressure in evolutionary dynamics. This study investigates how such factors affect the evolution of protein stability, site-specific mutation rates, and residue-residue covariation. To simulate evolutionary trajectories with realistic modeling of protein energetics, we develop an all-atom simulator of protein evolution, RosettaEvolve. By evolving proteins under different fitness functions, we can study how the fitness function affects the distribution of proposed and accepted mutations, site-specific rates, and the prevalence of correlated amino acid substitutions. We demonstrate that fitness pressure affects the proposal distribution of mutational effects, that changes in stability can largely explain variations in site-specific substitution rates in evolutionary trajectories, and that increased fitness pressure results in a stronger covariation signal. Our results give mechanistic insight into the evolutionary consequences of variation in protein stability and provide a basis to rationalize the strong covariation signal observed in natural sequence alignments.
(Less)
- author
- Norn, Christoffer
LU
and André, Ingemar
LU
- organization
- publishing date
- 2023-03
- type
- Contribution to journal
- publication status
- published
- subject
- in
- PLoS Computational Biology
- volume
- 19
- issue
- 3 March
- article number
- e1010262
- publisher
- Public Library of Science (PLoS)
- external identifiers
-
- pmid:36961827
- scopus:85152005453
- ISSN
- 1553-734X
- DOI
- 10.1371/journal.pcbi.1010262
- language
- English
- LU publication?
- yes
- id
- 9fff4a6e-6fb6-4faf-92b9-a93101413aee
- date added to LUP
- 2023-09-22 11:31:01
- date last changed
- 2024-04-19 01:32:06
@article{9fff4a6e-6fb6-4faf-92b9-a93101413aee,
abstract = {{<p>Thermodynamic stability is a crucial fitness constraint in protein evolution and is a central factor in shaping the sequence landscapes of proteins. The correlation between stability and molecular fitness depends on the mechanism that relates the biophysical property with biological function. In the simplest case, stability and fitness are related by the amount of folded protein. However, when proteins are toxic in the unfolded state, the fitness function shifts, resulting in higher stability under mutation-selection balance. Likewise, a higher population size results in a similar change in protein stability, as it magnifies the effect of the selection pressure in evolutionary dynamics. This study investigates how such factors affect the evolution of protein stability, site-specific mutation rates, and residue-residue covariation. To simulate evolutionary trajectories with realistic modeling of protein energetics, we develop an all-atom simulator of protein evolution, RosettaEvolve. By evolving proteins under different fitness functions, we can study how the fitness function affects the distribution of proposed and accepted mutations, site-specific rates, and the prevalence of correlated amino acid substitutions. We demonstrate that fitness pressure affects the proposal distribution of mutational effects, that changes in stability can largely explain variations in site-specific substitution rates in evolutionary trajectories, and that increased fitness pressure results in a stronger covariation signal. Our results give mechanistic insight into the evolutionary consequences of variation in protein stability and provide a basis to rationalize the strong covariation signal observed in natural sequence alignments.</p>}},
author = {{Norn, Christoffer and André, Ingemar}},
issn = {{1553-734X}},
language = {{eng}},
number = {{3 March}},
publisher = {{Public Library of Science (PLoS)}},
series = {{PLoS Computational Biology}},
title = {{Atomistic simulation of protein evolution reveals sequence covariation and time-dependent fluctuations of site-specific substitution rates}},
url = {{http://dx.doi.org/10.1371/journal.pcbi.1010262}},
doi = {{10.1371/journal.pcbi.1010262}},
volume = {{19}},
year = {{2023}},
}