Evidence map›Paper›PMID 40659873›Full record

ArticleNature ecology & evolution2025

The role of plasmid copy number and mutation rate in evolutionary outcomes.

Alexander 'Olek' Pisera, Chang C Liu

Abstract read
In one paragraph

Article in Nature ecology & evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Plasmid mutation rates scale with copy number.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
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

2 authors.

Alexander 'Olek' PiseraDepartment of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA.
Chang C LiuDepartment of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA. ccl@uci.edu.ORCID http://orcid.org/0000-0002-3290-2880

Funding

Synthetic genetic systems for rapid biomolecular evolution in vivoR35GM136297 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LIU, CHANG C · 2020 to 2024
$2.4M
NIGMS NIH HHS R35 GM136297U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM136297
6 · The paper itself

Abstract

Multicopy plasmids are widespread in nature and compose a common strategy for spreading beneficial traits across microbes. However, the role of plasmids in supporting the evolution of encoded genes remains underexplored due to challenges in experimentally manipulating key parameters such as plasmid copy number and mutation rate. Here we developed a strategy for controlling copy number in the plasmid-based Saccharomyces cerevisiae continuous evolution system, OrthoRep, and used our resulting capabilities to investigate the evolution of a conditionally essential gene under varying copy number and mutation rate conditions. Our results show that low copy number facilitated the faster enrichment of beneficial alleles whereas high copy number promoted robustness through the maintenance of allelic diversity. High copy number also slowed the removal of deleterious mutations and increased the fraction of non-functional alleles that could hitchhike during evolution. This study highlights the nuanced relationships between plasmid copy number, mutation rate and evolutionary outcomes, providing insights into the adaptive dynamics of genes encoded on multicopy plasmids and nominating OrthoRep as a versatile tool for studying plasmid evolution.

Indexed as

Evolution, MolecularGene DosageMutation RatePlasmidsSaccharomyces cerevisiaeAspergillus nidulansGenetic FitnessGenetic Techniques

Identifiers

PMID40659873
PMCPMC13352998

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Registered trials

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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.