Evidence map›Paper›PMID 33083911›Full record

ReviewWorld journal of microbiology & biotechnology2020

Adaptive laboratory evolution for growth coupled microbial production.

Avinash Godara, Katy C Kao

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Adaptive Laboratory Evolution inMicroorganisms · 2026
    Review
  2. Microbial Evolution and Systematics: Archaea and Bacteria.Progress in molecular and subcellular biology · 2026
    Review
  3. Adaptive Laboratory Evolution of Pichia pastoris by Serial Batch Cultivation.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Recent progress in adaptive laboratory evolution of industrial microorganisms.Journal of industrial microbiology & biotechnology · 2023
    Article
  10. Article
  11. Article
  12. Genetic Basis of High-Pressure Tolerance of aFrontiers in microbiology · 2022
    Article
  13. Review
  14. 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 at 2 institutions in 1 country.

Avinash GodaraDepartment of Chemical Engineering, Texas A&M University, College Station, Texas, USA.
Katy C KaoDepartment of Chemical and Material Engineering, San Jose State University, San Jose, California, USA. katy.kao@sjsu.edu.ORCID http://orcid.org/0000-0002-1184-276X
San Jose State University · USTexas A&M University · US

Funding

National Science Foundation CBET-1605347
6 · The paper itself

Abstract

Adaptive laboratory evolution (ALE) is a powerful tool to select for strains with growth-coupled phenotypes. When coupled with next-generation sequencing and omic technologies, genotype-to-phenotype relationships and the molecular mechanisms underlying desired complex phenotypes can now be uncovered using ALE. However, in order for ALE to be effective in generating strains with increased productivity, the product-of-interest needs to be coupled with cellular growth or survival. Advances in computational metabolic modeling can now identify metabolic engineering strategies to force the coupling of desired product formation with growth for a wide range of different compounds. Such strategies can potentially be coupled with ALE to further enhance productivity of microbial hosts. In addition to metabolic strategies, if the compound of interest is known to impart beneficial traits to the host, such as stress tolerance, then an environment can be designed to allow product formation to be coupled with growth or survival. This mini-review will cover recent advances in both the metabolic and environmental engineering and synthetic biology strategies to couple production with microbial fitness, successful cases for the use of these strategies with ALE to improve product formation, discuss limitations, and future perspectives.

Indexed as

BacteriaFermentationGenotypeHigh-Throughput Nucleotide SequencingLaboratoriesMetabolic EngineeringMicrobial ViabilityPhenotypeSynthetic BiologyALEBiotechnology; mini reviewComputational strategyGrowth-coupled productionMetabolic engineering

Identifiers

PMID33083911
OpenAlexW3094029663

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.