ReviewMolecular bioSystems2014
Engineering reduced evolutionary potential for synthetic biology.
Review in Molecular bioSystems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 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
59 citing papers in PubMed, 113 citations in OpenAlex.
- Synthetic Approaches as Empirical Tools for Testing Evolutionary Theory.Genome biology and evolution · 2026Review
- Zimin patterns in genomes.PLoS computational biology · 2026Article
- Exploring the computing power of microbes that shapes the environment.Current opinion in microbiology · 2026Review
- Microbial Biotechnology in Agriculture.Progress in molecular and subcellular biology · 2026Review
- Engineered strains as living factories: efficient biosynthesis and modification of natural products via synthetic biology and one-pot chemical tandem reactions.Frontiers in microbiology · 2026Review
- AI-directed gene fusing prolongs the evolutionary half-life of synthetic gene circuits.Science advances · 2025Article
- Genetic controllers for enhancing the evolutionary longevity of synthetic gene circuits in bacteria.Nature communications · 2025Article
- Idiosyncratic evolvability among single-point ribosomal mutants towards multi-aminoglycoside resistance.PLoS genetics · 2025Article
- Reduced Genetic Heterogeneity for Stable Bioproduction by Harnessing the Bias and Mechanism of Mutation.Microbial biotechnology · 2025Article
- Harnessing microbial heterogeneity for improved biosynthesis fueled by synthetic biology.Synthetic and systems biotechnology · 2025Review
- Measuring the burden of hundreds of BioBricks defines an evolutionary limit on constructability in synthetic biology.Nature communications · 2024Article
- Beneficial applications of biofilms.Nature reviews. Microbiology · 2024Review
- Measuring the burden of hundreds of BioBricks defines an evolutionary limit on constructability in synthetic biology.bioRxiv : the preprint server for biology · 2024Article
- Open-endedness in synthetic biology: A route to continual innovation for biological design.Science advances · 2024Review
- The Causes for Genomic Instability and How to Try and Reduce Them Through Rational Design of Synthetic DNA.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Identifying widespread and recurrent variants of genetic parts to improve annotation of engineered DNA sequences.PloS one · 2024Article
- Competition and evolutionary selection among core regulatory motifs in gene expression control.Nature communications · 2023Article
- Evolutionary innovation through transcription factor rewiring in microbes is shaped by levels of transcription factor activity, expression, and existing connectivity.PLoS biology · 2023Article
- Modelling genetic stability in engineered cell populations.Nature communications · 2023Article
- The Pathfinder plasmid toolkit for genetically engineering newly isolated bacteria enables the study of Drosophila-colonizing Orbaceae.ISME communications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
The field of synthetic biology seeks to engineer reliable and predictable behaviors in organisms from collections of standardized genetic parts. However, unlike other types of machines, genetically encoded biological systems are prone to changes in their designed sequences due to mutations in their DNA sequences after these devices are constructed and deployed. Thus, biological engineering efforts can be confounded by undesired evolution that rapidly breaks the functions of parts and systems, particularly when they are costly to the host cell to maintain. Here, we explain the fundamental properties that determine the evolvability of biological systems. Then, we use this framework to review current efforts to engineer the DNA sequences that encode synthetic biology devices and the genomes of their microbial hosts to reduce their ability to evolve and therefore increase their genetic reliability so that they maintain their intended functions over longer timescales.
Indexed as
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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.