Evidence map›Paper›PMID 31285593›Full record

ReviewNature biotechnology2019

Overcoming genetic heterogeneity in industrial fermentations.

Peter Rugbjerg, Morten O A Sommer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

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

  1. A Guideline to Set Up Cascaded Continuous Cultivation with E. coli Bl21 (DE3).Methods in molecular biology (Clifton, N.J.) · 2022
    Guideline
  2. Review
  3. Article
  4. Biological Systems as Physical Data Processors: Evolution as a Case of Embodied Computing.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  5. Review
  6. Article
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  11. Review
  12. Article
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  15. Article
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  18. Review
  19. Review
  20. Review

17 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

2 authors.

Peter RugbjergThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID http://orcid.org/0000-0003-2561-5063
Morten O A SommerThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark. msom@bio.dtu.dk.ORCID http://orcid.org/0000-0003-4005-5674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineering the synthesis of massive amounts of therapeutics, enzymes or commodity chemicals can select for subpopulations of nonproducer cells, owing to metabolic burden and product toxicity. Deep DNA sequencing can be used to detect undesirable genetic heterogeneity in producer populations and diagnose associated genetic error modes. Hotspots of genetic heterogeneity can pinpoint mechanisms that underlie load problems and product toxicity. Understanding genetic heterogeneity will inform metabolic engineering and synthetic biology strategies to minimize the emergence of nonproducer mutants in scaled-up fermentations and maximize product quality and yield.

Indexed as

Genetic HeterogeneityHigh-Throughput Nucleotide SequencingAnimalsBacteriaBiotechnologyCell LineDrug IndustryFermentationFungiHumansMetabolic EngineeringPharmaceutical PreparationsSynthetic BiologyPharmaceutical Preparations

Identifiers

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.