Evidence map›Paper›PMID 28379360›Full record

ArticleGenome biology and evolution2017

Core Genes Evolve Rapidly in the Long-Term Evolution Experiment with Escherichia coli.

Rohan Maddamsetti, Philip J Hatcher, Anna G Green, Barry L Williams, Debora S Marks, Richard E Lenski

Abstract read
In one paragraph

Article in Genome biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Interaction between mutation type and gene pleiotropy drives parallel evolution in the laboratory.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Pooled it
  2. Macrolide resistance trajectories across threeFrontiers in microbiology · 2026
    Article
  3. Article
  4. Article
  5. Recent advances in genome-scale engineering inEngineering microbiology · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Long-term experimental evolution decouples size and production costs inProceedings of the National Academy of Sciences of the United States of America · 2022
    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

6 authors.

Rohan MaddamsettiEcology, Evolutionary Biology, and Behavior Program, Michigan State University, East Lansing, MI.
Philip J HatcherDepartment of Computer Science, University of New Hampshire, Durham, NH.
Anna G GreenDepartment of Systems Biology, Harvard Medical School, Boston, MA.
Barry L WilliamsEcology, Evolutionary Biology, and Behavior Program, Michigan State University, East Lansing, MI.
Debora S MarksDepartment of Systems Biology, Harvard Medical School, Boston, MA.
Richard E LenskiEcology, Evolutionary Biology, and Behavior Program, Michigan State University, East Lansing, MI.

Funding

Accelerated Determination of 3D Structures of Proteins and ComplexesR01GM106303 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI SANDER, CHRIS · 2013 to 2016
$1.7M
NIGMS NIH HHS R01 GM106303
6 · The paper itself

Abstract

Bacteria can evolve rapidly under positive selection owing to their vast numbers, allowing their genes to diversify by adapting to different environments. We asked whether the same genes that evolve rapidly in the long-term evolution experiment (LTEE) with Escherichia coli have also diversified extensively in nature. To make this comparison, we identified ∼2000 core genes shared among 60 E. coli strains. During the LTEE, core genes accumulated significantly more nonsynonymous mutations than flexible (i.e., noncore) genes. Furthermore, core genes under positive selection in the LTEE are more conserved in nature than the average core gene. In some cases, adaptive mutations appear to modify protein functions, rather than merely knocking them out. The LTEE conditions are novel for E. coli, at least in relation to its evolutionary history in nature. The constancy and simplicity of the environment likely favor the complete loss of some unused functions and the fine-tuning of others.

Indexed as

core genomeexperimental evolutionfine-tuning mutationsloss-of-function mutationsmolecular evolution

Identifiers

PMID28379360
PMCPMC5406848

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.