ReviewCurrent opinion in biotechnology2020
Control strategies to manage trade-offs during microbial production.
Review in Current opinion in biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed.
- Optimizing microbial cellulase fermentation with FERM-AI: risk-aware machine learning framework for fermentation and contamination prediction.Frontiers in bioengineering and biotechnology · 2026Article
- VerdaML: an explainable ensemble machine learning framework with AI-driven interactive decision support system for biomass yield optimisation and Nitrogen-Stress Risk Classification in verrucodesmus verrucosus photobioreactors.Frontiers in bioengineering and biotechnology · 2026Article
- Article
- Exploring single-cell biosynthetic noise and dynamics for enhanced betaxanthin production in Escherichia coli.Nature communications · 2025Article
- Monitoring proliferation and material production of Cupriavidus necator H16 using cell count and volume measurement.Scientific reports · 2025Article
- ATP biosensor reveals microbial energetic dynamics and facilitates bioproduction.Nature communications · 2024Article
- Protein-Based Hydrogels and Their Biomedical Applications.Molecules (Basel, Switzerland) · 2023Review
- Microbial Synthesis of High-Molecular-Weight, Highly Repetitive Protein Polymers.International journal of molecular sciences · 2023Review
- Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors.Biosensors · 2023Review
- Diverse mechanisms of bioproduction heterogeneity in fermentation and their control strategies.Journal of industrial microbiology & biotechnology · 2023Review
- Precise Genomic Riboregulator Control of Metabolic Flux in Microbial Systems.ACS synthetic biology · 2022Article
- Decoupling Growth and Production by Removing the Origin of Replication from a Bacterial Chromosome.ACS synthetic biology · 2022Article
- The Growth Dependent Design Constraints of Transcription-Factor-Based Metabolite Biosensors.ACS synthetic biology · 2022Article
- Optogenetic approaches in biotechnology and biomaterials.Trends in biotechnology · 2022Review
- EngineeringAIChE journal. American Institute of Chemical Engineers · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
When engineering microbes to overproduce a target molecule, engineers face multiple layers of trade-offs to allocate limited cellular resources between the target pathway and native cellular systems. These trade-offs arise from limited free ribosomes during translation, competition for metabolic precursors, as well as the negative relationship between production and growth rate. To achieve high production performance, microbes need to spontaneously make decisions in the dynamic and heterogeneous fermentation environment. In this review, we discuss recent advances in microbial control strategies that are used to manage these trade-offs and to improve microbial production. This review focuses on design principles and compares different implementations, with the hope to provide guidelines to future microbial engineering.
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What OpenQuestion holds
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.