Evidence map›Paper›PMID 27091964›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Benefit of transferred mutations is better predicted by the fitness of recipients than by their ecological or genetic relatedness.

Yinhua Wang, Carolina Diaz Arenas, Daniel M Stoebel, Kenneth Flynn, Ethan Knapp, Marcus M Dillon, Andrea Wünsche, Philip J Hatcher, Francisco B-G Moore, Vaughn S Cooper and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Global epistasis on fitness landscapes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

11 authors at 3 institutions in 1 country.

Yinhua WangDepartment of Biology and Biochemistry, University of Houston, Houston, TX 77204;
Carolina Diaz ArenasDepartment of Biology and Biochemistry, University of Houston, Houston, TX 77204;
Daniel M StoebelDepartment of Biology and Biochemistry, University of Houston, Houston, TX 77204;
Kenneth FlynnDepartment of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, NH 03824;
Ethan KnappDepartment of Biology, University of Akron, Akron, OH 44325;
Marcus M DillonDepartment of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, NH 03824;
Andrea WünscheDepartment of Biology and Biochemistry, University of Houston, Houston, TX 77204;
Philip J HatcherDepartment of Computer Science, University of New Hampshire, Durham, NH 03824;
Francisco B-G MooreDepartment of Biology, University of Akron, Akron, OH 44325;
Vaughn S CooperDepartment of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, NH 03824; Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, PA 15219.
Tim F CooperDepartment of Biology and Biochemistry, University of Houston, Houston, TX 77204; tfcooper@uh.edu.
University of Houston · USUniversity of New Hampshire · USUniversity of Akron · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of a mutation depends on its interaction with the genetic background in which it is assessed. Studies in experimental systems have demonstrated that such interactions are common among beneficial mutations and often follow a pattern consistent with declining evolvability of more fit genotypes. However, these studies generally examine the consequences of interactions between a small number of focal mutations. It is not clear, therefore, that findings can be extrapolated to natural populations, where new mutations may be transferred between genetically divergent backgrounds. We build on work that examined interactions between four beneficial mutations selected in a laboratory-evolved population of Escherichia coli to test how they interact with the genomes of diverse natural isolates of the same species. We find that the fitness effect of transferred mutations depends weakly on the genetic and ecological similarity of recipient strains relative to the donor strain in which the mutations were selected. By contrast, mutation effects were strongly inversely correlated to the initial fitness of the recipient strain. That is, there was a pattern of diminishing returns whereby fit strains benefited proportionally less from an added mutation. Our results strengthen the view that the fitness of a strain can be a major determinant of its ability to adapt. They also support a role for barriers of transmission, rather than differential selection of transferred DNA, as an explanation of observed phylogenetically determined patterns of restricted recombination among E. coli strains.

Indexed as

Gene-Environment InteractionModels, GeneticComputer SimulationEcosystemEpistasis, GeneticEscherichia coliGenetic FitnessMutationRisk AssessmentSelection, Geneticbeneficial mutationsepistasishorizontal gene transfermutation-by-genetic background interactions

Identifiers

PMID27091964
PMCPMC4983819
OpenAlexW2336789471

What OpenQuestion holds

Textmetadata
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.