Evidence map›Paper›PMID 21734648›Full record

ReviewMolecular systems biology2011

Microbial laboratory evolution in the era of genome-scale science.

Tom M Conrad, Nathan E Lewis, Bernhard Ø Palsson

Abstract readReview
In one paragraph

Review in Molecular systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers.

0numbers the graph read from it
0cells of the map it votes in
149citing 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

149 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Studying adaptation at the invisible scale.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Enhancing the Signature Rose Aroma ofFoods (Basel, Switzerland) · 2026
    Article
  7. Review
  8. Article
  9. Balancing Cell Growth and Product Synthesis for Efficient Microbial Cell Factories.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  10. Laboratory evolution ofJournal of bacteriology · 2025
    Article
  11. Review
  12. Review
  13. Review
  14. Laboratory evolution ofbioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Recent progress in adaptive laboratory evolution of industrial microorganisms.Journal of industrial microbiology & biotechnology · 2023
    Article
  20. Review

89 more citing papers are in PubMed but not listed here.

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

3 authors.

Tom M ConradDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093-0412, USA.
Nathan E Lewis
Bernhard Ø Palsson

Funding

GENOMICALLY BASED MODELS FOR ANTIBIOTIC DEVELOPMENTR01GM057089 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 1998 to 2021
$6.9M
Testable in silico Hypotheses for E.coli GrowthR01GM062791 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2002 to 2009
$4.4M
NIGMS NIH HHS R01 GM057089NIGMS NIH HHS R01 GM062791
6 · The paper itself

Abstract

Laboratory evolution studies provide fundamental biological insight through direct observation of the evolution process. They not only enable testing of evolutionary theory and principles, but also have applications to metabolic engineering and human health. Genome-scale tools are revolutionizing studies of laboratory evolution by providing complete determination of the genetic basis of adaptation and the changes in the organism's gene expression state. Here, we review studies centered on four central themes of laboratory evolution studies: (1) the genetic basis of adaptation; (2) the importance of mutations to genes that encode regulatory hubs; (3) the view of adaptive evolution as an optimization process; and (4) the dynamics with which laboratory populations evolve.

Indexed as

Evolution, MolecularGenome, BacterialAdaptation, PhysiologicalEscherichia coliGene Expression Regulation, BacterialModels, MolecularMutationPhenotype

Identifiers

PMID21734648
PMCPMC3159978

What OpenQuestion holds

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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.