ArticleNature communications2025
Genetic controllers for enhancing the evolutionary longevity of synthetic gene circuits in bacteria.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
6 citing papers in PubMed.
- Emerging Strategies for the Preservation of Microorganisms of Biomedical and Environmental Importance.Methods in molecular biology (Clifton, N.J.) · 2027Review
- Systems engineering of engineered live biotherapeutics: A discovery-to-translation framework for streamlining microbiome therapeutic development.Journal of controlled release : official journal of the Controlled Release Society · 2026Review
- Applications of synthetic biology in biomedicine.Molecular biomedicine · 2026Review
- Engineered live bacteria for liver diseases and gut-liver axis disorders: from genetic modification to advanced delivery systems.Journal of nanobiotechnology · 2026Review
- Feedback Control and Sensitivity Analysis in Synthetic Gene Circuits.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Genetic controllers for enhancing the evolutionary longevity of synthetic gene circuits in bacteria.Nature communications · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Engineered gene circuits often degrade due to mutation and selection, limiting their long-term utility. Here we present designs for genetic controllers which maintain synthetic gene expression over time. Using a multi-scale "host-aware" computational framework, which captures interactions between host and circuit expression, mutation, and mutant competition, we evaluate several controller architectures based on three metrics for evolutionary stability: total protein output, duration of stable output, and half-life of production. We propose a number of designs with varying inputs (e.g., output per cell, growth rate) and actuation methods (transcriptional vs. post-transcriptional regulation). We find post-transcriptional controllers generally outperform transcriptional ones, but no single design optimizes all goals. Negative autoregulation prolongs short term performance, while growth-based feedback extends functional half-life. We propose three biologically feasible, multi-input controllers that improve circuit half-life over threefold without requiring coupling the process to an essential gene or a genetic kill switch.
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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.