Evidence map›Paper›PMID 39868204›Full record

ArticlebioRxiv : the preprint server for biology2025

Entrenchment and contingency in neutral protein evolution with epistasis.

Lisa Schmelkin, Vincenzo Carnevale, Allan Haldane, Jeffrey P Townsend, Sarah Chung, Ronald M Levy, Sudhir Kumar

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Lisa SchmelkinInstitute for Genomics and Evolutionary Medicine, Temple University; Philadelphia, PA 19122, USA.
Vincenzo CarnevaleInstitute for Genomics and Evolutionary Medicine, Temple University; Philadelphia, PA 19122, USA.
Allan HaldaneInstitute of Computational Molecular Science, Temple University; Philadelphia, PA 19122, USA.
Jeffrey P TownsendYale University; New Haven, CT 06520, USA.ORCID 0000-0002-9890-3907
Sarah ChungInstitute for Genomics and Evolutionary Medicine, Temple University; Philadelphia, PA 19122, USA.
Ronald M LevyInstitute of Computational Molecular Science, Temple University; Philadelphia, PA 19122, USA.
Sudhir KumarInstitute for Genomics and Evolutionary Medicine, Temple University; Philadelphia, PA 19122, USA.ORCID 0000-0002-9918-8212

Funding

Mapping Fitness & Free Energy Landscapes of ProteinsR35GM132090 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Ronald Levy · 2019 to 2026
$3.2M
Methods For Evolutionary Genomics AnalysisR35GM139540 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Sudhir Kumar · 2021 to 2026
$2.9M
NIGMS NIH HHS R35 GM132090NIGMS NIH HHS R35 GM139540
6 · The paper itself

Abstract

Protein sequence evolution in the presence of epistasis makes many previously acceptable amino acid residues at a site unfavorable over time. This phenomenon of entrenchment has also been observed with neutral substitutions using Potts Hamiltonian models. Here, we show that simulations using these models often evolve non-neutral proteins. We introduce a Neutral-with-Epistasis (N×E) model that incorporates purifying selection to conserve fitness, a requirement of neutral evolution. N×E protein evolution revealed a surprising lack of entrenchment, with site-specific amino-acid preferences remaining remarkably conserved, in biologically realistic time frames despite extensive residue coupling. Moreover, we found that the overdispersion of the molecular clock is caused by rate variation across sites introduced by epistasis in individual lineages, rather than by historical contingency. Therefore, substitutional entrenchment and rate contingency may indicate that adaptive and other non-neutral evolutionary processes were at play during protein evolution.

Identifiers

PMID39868204
PMCPMC11761135

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.