Evidence map›Paper›PMID 39464107›Full record

ArticlebioRxiv : the preprint server for biology2024

Direct and indirect selection in a proofreading polymerase.

Kabir Husain, Vedant Sachdeva, Riccardo Ravasio, Michele Peruzzo, Wanqiang Liu, Benjamin H Good, Arvind Murugan

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kabir HusainDepartment of Physics and Astronomy, University College London, United Kingdom.
Vedant SachdevaDepartment of Physics, University of Chicago, Chicago, IL.
Riccardo RavasioDepartment of Physics, University of Chicago, Chicago, IL.
Michele PeruzzoDepartment of Physics, University of Chicago, Chicago, IL.
Wanqiang LiuDepartment of Physics, University of Chicago, Chicago, IL.
Benjamin H GoodDepartment of Applied Physics, Stanford University, Stanford, CA.ORCID 0000-0002-7757-3347
Arvind MuruganDepartment of Physics, University of Chicago, Chicago, IL.

Funding

Quantitative approaches for mapping the real-time evolution of the gut microbiotaR35GM146949 · NIGMS · STANFORD UNIVERSITY · PI Benjamin H Good · 2022 to 2026
$2.0M
Revealing mechanisms of specificity and adaptability in molecular information processing through data-driven modelsR35GM151211 · NIGMS · UNIVERSITY OF CHICAGO · PI Arvind Murugan · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM146949NIGMS NIH HHS R35 GM151211
6 · The paper itself

Abstract

The traits that affect evolvability are subject to indirect selection, as these traits affect the course of evolution over many generations rather than the direct replicative fitness of an individual. However, the evolution of evolvability-determining traits is often difficult to study because putative evolvability alleles often have confounding direct fitness effects of unknown origin and size. Here, we study theoretically and experimentally the evolution of mutation rates in proofreading polymerases with orthogonal control of direct and indirect selection. Mutagenic DNA polymerases enjoy a long-time fitness advantage by enhancing the rate of acquiring beneficial mutations. However, this is offset by a short-time fitness penalty, which we trace to a counterintuitive trade-off between mutation rates and activity in proofreading polymerases. Since these fitness effects act on different timescales, no one number characterizes the fitness of a mutator allele. We find unusual dynamic features in the resulting evolutionary dynamics, such as kinetic exclusion, selection by dynamic environments, and Rock-Paper-Scissors dynamics in the absence of ecology. Our work has implications for the evolution of mutation rates and more broadly, evolution in the context of an anti-correlation between mutation rates and short term fitness.

Identifiers

PMID39464107
PMCPMC11507774

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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.