Evidence map›Paper›PMID 25098268›Full record

ReviewFEMS microbiology reviews2015

The functional basis of adaptive evolution in chemostats.

David Gresham, Jungeui Hong

Abstract readReview
In one paragraph

Review in FEMS microbiology reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
–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

54 citing papers in PubMed.

  1. Enhanced COMolecules (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Adaptive Laboratory Evolution of Pichia pastoris by Serial Batch Cultivation.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Subpopulations in Strains ofAntibiotics (Basel, Switzerland) · 2023
    Review
  17. Conversion ofMicroorganisms · 2023
    Article
  18. Article
  19. Article
  20. Review
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

2 authors.

David GreshamDepartment of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, USA dgresham@nyu.edu.
Jungeui HongDepartment of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, USA.

Funding

Regulation of Quiescence in Eukaryotic CellsR01GM107466 · NIGMS · NEW YORK UNIVERSITY · PI GRESHAM, DAVID · 2013 to 2022
$3.0M
NIGMS NIH HHS GM107466NIGMS NIH HHS R01 GM107466
6 · The paper itself

Abstract

Two of the central problems in biology are determining the molecular basis of adaptive evolution and understanding how cells regulate their growth. The chemostat is a device for culturing cells that provides great utility in tackling both of these problems: it enables precise control of the selective pressure under which organisms evolve and it facilitates experimental control of cell growth rate. The aim of this review is to synthesize results from studies of the functional basis of adaptive evolution in long-term chemostat selections using Escherichia coli and Saccharomyces cerevisiae. We describe the principle of the chemostat, provide a summary of studies of experimental evolution in chemostats, and use these studies to assess our current understanding of selection in the chemostat. Functional studies of adaptive evolution in chemostats provide a unique means of interrogating the genetic networks that control cell growth, which complements functional genomic approaches and quantitative trait loci (QTL) mapping in natural populations. An integrated approach to the study of adaptive evolution that accounts for both molecular function and evolutionary processes is critical to advancing our understanding of evolution. By renewing efforts to integrate these two research programs, experimental evolution in chemostats is ideally suited to extending the functional synthesis to the study of genetic networks.

Indexed as

Biological EvolutionAdaptation, PhysiologicalBioreactorsEscherichia coliSaccharomyces cerevisiaeadaptive evolutioncell growthchemostatscopy number variationnutrient limitationselection

Identifiers

PMID25098268
PMCPMC4391987

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Registered trials

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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.