Evidence map›Paper›PMID 32423186›Full record

ReviewJournal of microbiology and biotechnology2020

Current Status and Applications of Adaptive Laboratory Evolution in Industrial Microorganisms.

SuRin Lee, Pil Kim

Abstract readReview
In one paragraph

Review in Journal of microbiology and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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

  1. Pooled it
  2. Adaptive Laboratory Evolution inMicroorganisms · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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  11. Article
  12. Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025
    Review
  13. Review
  14. Article
  15. Review
  16. Improving 5-(hydroxymethyl)furfural (HMF) tolerance ofMetabolic engineering communications · 2024
    Article
  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

2 authors.

SuRin LeeDepartment of Biotechnology, the Catholic University of Korea, Gyeonggi 14662, Republic of Korea.
Pil KimDepartment of Biotechnology, the Catholic University of Korea, Gyeonggi 14662, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptive laboratory evolution (ALE) is an evolutionary engineering approach in artificial conditions that improves organisms through the imitation of natural evolution. Due to the development of multi-level omics technologies in recent decades, ALE can be performed for various purposes at the laboratory level. This review delineates the basics of the experimental design of ALE based on several ALE studies of industrial microbial strains and updates current strategies combined with progressed metabolic engineering,

Indexed as

Directed Molecular EvolutionIndustrial MicrobiologyMetabolic EngineeringSystems BiologyBacteriaFungiadaptive laboratory evolutionIndustrial strain developmentsystems metabolic engineering

Identifiers

PMID32423186
PMCPMC9728180

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.