Evidence map›Paper›PMID 29470493›Full record

ArticlePLoS biology2018

Effective polyploidy causes phenotypic delay and influences bacterial evolvability.

Lei Sun, Helen K Alexander, Balazs Bogos, Daniel J Kiviet, Martin Ackermann, Sebastian Bonhoeffer

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
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

26 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Polyploidy: A macromutational force pushing bioeconomic developments.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  18. Genetic dominance governs the evolution and spread of mobile genetic elements in bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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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

6 authors at 1 institution in 1 country.

Lei SunInstitute of Integrative Biology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-7222-3137
Helen K AlexanderInstitute of Integrative Biology, ETH Zürich, Zürich, Switzerland.
Balazs BogosInstitute of Integrative Biology, ETH Zürich, Zürich, Switzerland.
Daniel J KivietInstitute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Zürich, Switzerland.
Martin AckermannInstitute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Zürich, Switzerland.
Sebastian BonhoefferInstitute of Integrative Biology, ETH Zürich, Zürich, Switzerland.
ETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whether mutations in bacteria exhibit a noticeable delay before expressing their corresponding mutant phenotype was discussed intensively in the 1940s to 1950s, but the discussion eventually waned for lack of supportive evidence and perceived incompatibility with observed mutant distributions in fluctuation tests. Phenotypic delay in bacteria is widely assumed to be negligible, despite the lack of direct evidence. Here, we revisited the question using recombineering to introduce antibiotic resistance mutations into E. coli at defined time points and then tracking expression of the corresponding mutant phenotype over time. Contrary to previous assumptions, we found a substantial median phenotypic delay of three to four generations. We provided evidence that the primary source of this delay is multifork replication causing cells to be effectively polyploid, whereby wild-type gene copies transiently mask the phenotype of recessive mutant gene copies in the same cell. Using modeling and simulation methods, we explored the consequences of effective polyploidy for mutation rate estimation by fluctuation tests and sequencing-based methods. For recessive mutations, despite the substantial phenotypic delay, the per-copy or per-genome mutation rate is accurately estimated. However, the per-cell rate cannot be estimated by existing methods. Finally, with a mathematical model, we showed that effective polyploidy increases the frequency of costly recessive mutations in the standing genetic variation (SGV), and thus their potential contribution to evolutionary adaptation, while drastically reducing the chance that de novo recessive mutations can rescue populations facing a harsh environmental change such as antibiotic treatment. Overall, we have identified phenotypic delay and effective polyploidy as previously overlooked but essential components in bacterial evolvability, including antibiotic resistance evolution.

Indexed as

Evolution, MolecularPolyploidyChromosomes, BacterialDNA, BacterialDNA ReplicationDrug Resistance, BacterialEscherichia coliGene DosageGenes, BacterialGenes, RecessiveGenetic VariationMutagenesisMutationReplication OriginDNA, Bacterial

Identifiers

PMID29470493
PMCPMC5839593
OpenAlexW2952558578

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.