ArticleMicrobial biotechnology2019
Meta synthetic biology: controlling the evolution of engineered living systems.
Article in Microbial biotechnology, 2019. 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
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Who cites it
6 citing papers in PubMed.
- Synthetic Approaches as Empirical Tools for Testing Evolutionary Theory.Genome biology and evolution · 2026Review
- Engineering a Novel Probiotic Toolkit inACS synthetic biology · 2024Article
- Synthetic biology beyond borders.Microbial biotechnology · 2021Article
- Genomic and proteomic biases inform metabolic engineering strategies for anaerobic fungi.Metabolic engineering communications · 2020Article
- Biochemistry, genetics and biotechnology of glycerol utilization in Pseudomonas species.Microbial biotechnology · 2020Review
- Meta synthetic biology: controlling the evolution of engineered living systems.Microbial biotechnology · 2019Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A major aim of synthetic biology is the design of robust living systems for real-world applications. In seemingly contrast, evolution changes the living, exploring new survival strategies in response to environmental challenges. How do we cope with this paradox? Can we control or even exploit the molecular mechanisms of evolution for biotechnological and biosustainable innovation and will the principles of engineering lead to fundamental insights in evolutionary biology? A merger of synthetic biology with experimental evolution is occurring and it will radically accelerate the development of these scientific disciplines.
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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.