ArticleMolecular systems biology2018
Synthetic circuits reveal how mechanisms of gene regulatory networks constrain evolution.
Article in Molecular systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 71 citations in OpenAlex.
- Synthetic Approaches as Empirical Tools for Testing Evolutionary Theory.Genome biology and evolution · 2026Review
- Gene regulatory networks: from correlative models to causal explanations.Nature reviews. Genetics · 2026Review
- System drift in the evolution of plant meristem development.PLoS genetics · 2026Article
- Tuning evolvability via plasmid copy number and regulatory architecture.Nature communications · 2025Article
- Biology of host-dependent restriction-modification in prokaryotes.EcoSal Plus · 2025Review
- A direct experimental test of Ohno's hypothesis.eLife · 2025Article
- Evolutionary adaptation to juvenile malnutrition impacts adult metabolism and impairs adult fitness ineLife · 2023Article
- Nonmonotone invasion landscape by noise-aware control of metastasis activator levels.Nature chemical biology · 2023Article
- Environment-dependent epistasis increases phenotypic diversity in gene regulatory networks.Science advances · 2023Article
- Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Robustness and innovation in synthetic genotype networks.Nature communications · 2023Article
- Exploring the expanse between theoretical questions and experimental approaches in the modern study of evolvability.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2023Article
- Advancing synthetic biology through cell-free protein synthesis.Computational and structural biotechnology journal · 2023Review
- Deduction of signaling mechanisms from cellular responses to multiple cues.NPJ systems biology and applications · 2022Article
- Article
- On the incongruence of genotype-phenotype and fitness landscapes.PLoS computational biology · 2022Article
- Gene regulation in Escherichia coli is commonly selected for both high plasticity and low noise.Nature ecology & evolution · 2022Article
- A synthetic synthesis to explore animal evolution and development.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
- Elucidating multi-input processing 3-node gene regulatory network topologies capable of generating striped gene expression patterns.PLoS computational biology · 2022Article
- Towards an engineering theory of evolution.Nature communications · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 4 countries.
Funding
Abstract
Phenotypic variation is the raw material of adaptive Darwinian evolution. The phenotypic variation found in organismal development is biased towards certain phenotypes, but the molecular mechanisms behind such biases are still poorly understood. Gene regulatory networks have been proposed as one cause of constrained phenotypic variation. However, most pertinent evidence is theoretical rather than experimental. Here, we study evolutionary biases in two synthetic gene regulatory circuits expressed in
Indexed as
Identifiers
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.