Evidence map›Paper›PMID 29069429›Full record

ArticleMolecular biology and evolution2018

Effects of Beneficial Mutations in pykF Gene Vary over Time and across Replicate Populations in a Long-Term Experiment with Bacteria.

Fen Peng, Scott Widmann, Andrea Wünsche, Kristina Duan, Katherine A Donovan, Renwick C J Dobson, Richard E Lenski, Tim F Cooper

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 36 citations in OpenAlex.

  1. Frequency-dependent fitness effects are ubiquitous.bioRxiv : the preprint server for biology · 2025
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  14. mSphere · 2020
    Article
  15. Mechanisms underlying the virulence regulation of newEmerging microbes & infections · 2019
    Article
  16. Review
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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

8 authors at 4 institutions in 3 countries.

Fen PengDepartment of Biology and Biochemistry, University of Houston, Houston, TX.
Scott WidmannDepartment of Biology and Biochemistry, University of Houston, Houston, TX.
Andrea WünscheDepartment of Biology and Biochemistry, University of Houston, Houston, TX.
Kristina DuanDepartment of Biology and Biochemistry, University of Houston, Houston, TX.
Katherine A DonovanBiomolecular Interaction Centre and School of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
Renwick C J DobsonBiomolecular Interaction Centre and School of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
Richard E LenskiDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI.
Tim F CooperDepartment of Biology and Biochemistry, University of Houston, Houston, TX.
University of Houston · USMichigan State University · USUniversity of Canterbury · NZUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fitness effects of mutations can depend on the genetic backgrounds in which they occur and thereby influence future opportunities for evolving populations. In particular, mutations that fix in a population might change the selective benefit of subsequent mutations, giving rise to historical contingency. We examine these effects by focusing on mutations in a key metabolic gene, pykF, that arose independently early in the history of 12 Escherichia coli populations during a long-term evolution experiment. Eight different evolved nonsynonymous mutations conferred similar fitness benefits of ∼10% when transferred into the ancestor, and these benefits were greater than the one conferred by a deletion mutation. In contrast, the same mutations had highly variable fitness effects, ranging from ∼0% to 25%, in evolved clones isolated from the populations at 20,000 generations. Two mutations that were moved into these evolved clones conferred similar fitness effects in a given clone, but different effects between the clones, indicating epistatic interactions between the evolved pykF alleles and the other mutations that had accumulated in each evolved clone. We also measured the fitness effects of six evolved pykF alleles in the same populations in which they had fixed, but at seven time points between 0 and 50,000 generations. Variation in fitness effects was high at intermediate time points, and declined to a low level at 50,000 generations, when the mean fitness effect was lowest. Our results demonstrate the importance of genetic context in determining the fitness effects of different beneficial mutations even within the same gene.

Indexed as

Adaptation, PhysiologicalBacteriaBiological EvolutionEpistasis, GeneticEscherichia coliEscherichia coli ProteinsEvolution, MolecularGenetic FitnessGenetics, PopulationMutationPyruvate KinaseEscherichia coli ProteinsPyruvate Kinaseadaptationepistasisexperimental evolutionhistorical contingencypykF

Identifiers

PMID29069429
PMCPMC5850340
OpenAlexW2766622625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.