ArticleMicroorganisms2023
Accelerated Adaptive Laboratory Evolution by Automated Repeated Batch Processes in Parallelized Bioreactors.
Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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.
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Who cites it
8 citing papers in PubMed.
- Editorial for the Special Issue "Advances in Microbial Cell Factories"-Pioneering the Circular Bioeconomy.Microorganisms · 2026Article
- Process Engineering Strategies for Microbial Lipid Production: From Strain Evolution to Industrial-Scale Bioprocessing.International journal of molecular sciences · 2026Review
- Using TraDIS as a complementary approach to long term evolution for mapping adaptive mutations in Escherichia coli.PLoS genetics · 2026Article
- What are the limits to biomedical research acceleration through general-purpose AI?Scientific reports · 2026Review
- Strategies for enhancing the adaptive response to oxidative stress in microbial cell factories.World journal of microbiology & biotechnology · 2025Review
- Automated in vivo enzyme engineering accelerates biocatalyst optimization.Nature communications · 2024Review
- Robotic workflows for automated long-term adaptive laboratory evolution: improving ethanol utilization by Corynebacterium glutamicum.Microbial cell factories · 2023Article
- Discovery of novel amino acid production traits by evolution of synthetic co-cultures.Microbial cell factories · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Adaptive laboratory evolution (ALE) is a valuable complementary tool for modern strain development. Insights from ALE experiments enable the improvement of microbial cell factories regarding the growth rate and substrate utilization, among others. Most ALE experiments are conducted by serial passaging, a method that involves large amounts of repetitive manual labor and comes with inherent experimental design flaws. The acquisition of meaningful and reliable process data is a burdensome task and is often undervalued and neglected, but also unfeasible in shake flask experiments due to technical limitations. Some of these limitations are alleviated by emerging automated ALE methods on the μL and mL scale. A novel approach to conducting ALE experiments is described that is faster and more efficient than previously used methods. The conventional shake flask approach was translated to a parallelized, L scale stirred-tank bioreactor system that runs controlled, automated, repeated batch processes. The method was validated with a growth optimization experiment of
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Registered trials
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.