Evidence map›Paper›PMID 37679814›Full record

ArticleMicrobial cell factories2023

Robotic workflows for automated long-term adaptive laboratory evolution: improving ethanol utilization by Corynebacterium glutamicum.

Lars Halle, Niels Hollmann, Niklas Tenhaef, Lea Mbengi, Christiane Glitz, Wolfgang Wiechert, Tino Polen, Meike Baumgart, Michael Bott, Stephan Noack

Abstract read
In one paragraph

Article in Microbial cell factories, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Single Mutation inMicroorganisms · 2025
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

10 authors.

Lars HalleInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany.
Niels HollmannInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany.
Niklas TenhaefInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany.
Lea MbengiInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany.
Christiane GlitzInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany.
Wolfgang WiechertInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany.
Tino PolenInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany.
Meike BaumgartInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany.
Michael BottInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany.
Stephan NoackInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, 52425, Jülich, Germany. s.noack@fz-juelich.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdaptive laboratory evolution (ALE) is known as a powerful tool for untargeted engineering of microbial strains and genomics research. It is particularly well suited for the adaptation of microorganisms to new environmental conditions, such as alternative substrate sources. Since the probability of generating beneficial mutations increases with the frequency of DNA replication, ALE experiments are ideally free of constraints on the required duration of cell proliferation.

resultsHere, we present an extended robotic workflow for performing long-term evolution experiments based on fully automated repetitive batch cultures (rbALE) in a well-controlled microbioreactor environment. Using a microtiter plate recycling approach, the number of batches and thus cell generations is technically unlimited. By applying the validated workflow in three parallel rbALE runs, ethanol utilization by Corynebacterium glutamicum ATCC 13032 (WT) was significantly improved. The evolved mutant strain WT_EtOH-Evo showed a specific ethanol uptake rate of 8.45 ± 0.12 mmol

conclusionsThe established rbALE technology is generally applicable to any microbial strain and selection pressure that fits the small-scale cultivation format. In addition, our specific results will enable improved production processes with C. glutamicum from ethanol, which is of particular interest for acetyl-CoA-derived products.

Indexed as

Corynebacterium glutamicumRobotic Surgical ProceduresAcetyl Coenzyme AEthanolWorkflowAcetyl Coenzyme AEthanolAcetaldehyde dehydrogenaseAdaptive laboratory evolutionCorynebacterium glutamicumEthanol utilizationGlxRUntargeted strain optimization

Identifiers

PMID37679814
PMCPMC10483779

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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.