Evidence map›Paper›PMID 25121498›Full record

ArticlePloS one2014

Variation in the fitness effects of mutations with population density and size in Escherichia coli.

Huansheng Cao, Kevin Butler, Mithi Hossain, James D Lewis

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. 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
0.7field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Huansheng CaoLouis Calder Center-Biological Field Station and Department of Biological Sciences, Fordham University, Armonk, New York, United States of America.
Kevin ButlerLouis Calder Center-Biological Field Station and Department of Biological Sciences, Fordham University, Armonk, New York, United States of America.
Mithi HossainLouis Calder Center-Biological Field Station and Department of Biological Sciences, Fordham University, Armonk, New York, United States of America.
James D LewisLouis Calder Center-Biological Field Station and Department of Biological Sciences, Fordham University, Armonk, New York, United States of America.
Fordham University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fitness effects of mutations are context specific and depend on both external (e.g., environment) and internal (e.g., cellular stress, genetic background) factors. The influence of population size and density on fitness effects are unknown, despite the central role population size plays in the supply and fixation of mutations. We addressed this issue by comparing the fitness of 92 Keio strains (Escherichia coli K12 single gene knockouts) at comparatively high (1.2×10(7) CFUs/mL) and low (2.5×10(2) CFUs/mL) densities, which also differed in population size (high: 1.2×10(8); low: 1.25×10(3)). Twenty-eight gene deletions (30%) exhibited a fitness difference, ranging from 5 to 174% (median: 35%), between the high and low densities. Our analyses suggest this variation among gene deletions in fitness responses reflected in part both gene orientation and function, of the gene properties we examined (genomic position, length, orientation, and function). Although we could not determine the relative effects of population density and size, our results suggest fitness effects of mutations vary with these two factors, and this variation is gene-specific. Besides being a mechanism for density-dependent selection (r-K selection), the dependence of fitness effects on population density and size has implications for any population that varies in size over time, including populations undergoing evolutionary rescue, species invasions into novel habitats, and cancer progression and metastasis. Further, combined with recent advances in understanding the roles of other context-specific factors in the fitness effects of mutations, our results will help address theoretical and applied biological questions more realistically.

Indexed as

Genetic VariationMutationSelection, GeneticAnalysis of VarianceEscherichia coliGene DeletionGene Knockout TechniquesMutation Rate

Identifiers

PMID25121498
PMCPMC4133409
OpenAlexW2033625136

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.