ArticleProceedings of the National Academy of Sciences of the United States of America2015
Dynamics of gene circuits shapes evolvability.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Computational model of flower pattern evolution predicts spontaneous emergence of boundary cell types across the petal epidermis.Development (Cambridge, England) · 2026Article
- System drift in the evolution of plant meristem development.PLoS genetics · 2026Article
- Tuning evolvability via plasmid copy number and regulatory architecture.Nature communications · 2025Article
- Bayesian networks for network inference in biology.Journal of the Royal Society, Interface · 2025Review
- Understanding developmental system drift.Development (Cambridge, England) · 2024Review
- Morphogens in the evolution of size, shape and patterning.Development (Cambridge, England) · 2024Review
- Robustness and innovation in synthetic genotype networks.Nature communications · 2023Article
- Modelling the evolution of novelty: a review.Essays in biochemistry · 2022Article
- A synthetic synthesis to explore animal evolution and development.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
- Development and selective grain make plasticity 'take the lead' in adaptive evolution.BMC ecology and evolution · 2021Article
- Populations of genetic circuits are unable to find the fittest solution in a multilevel genotype-phenotype map.Journal of the Royal Society, Interface · 2020Article
- Synthetic circuits reveal how mechanisms of gene regulatory networks constrain evolution.Molecular systems biology · 2018Article
- Review
- Endocytosis as a stabilizing mechanism for tissue homeostasis.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Adding levels of complexity enhances robustness and evolvability in a multilevel genotype-phenotype map.Journal of the Royal Society, Interface · 2018Article
- A spectrum of modularity in multi-functional gene circuits.Molecular systems biology · 2017Article
- A Network Model to Explore the Effect of the Micro-environment on Endothelial Cell Behavior during Angiogenesis.Frontiers in physiology · 2017Article
- Gap Gene Regulatory Dynamics Evolve along a Genotype Network.Molecular biology and evolution · 2016Article
- Article
- Epigenetics, Darwin, and Lamarck.Genome biology and evolution · 2015Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To what extent does the dynamical mechanism producing a specific biological phenotype bias the ability to evolve into novel phenotypes? We use the interpretation of a morphogen gradient into a single stripe of gene expression as a model phenotype. Although there are thousands of three-gene circuit topologies that can robustly develop a stripe of gene expression, the vast majority of these circuits use one of just six fundamentally different dynamical mechanisms. Here we explore the potential for gene circuits that use each of these six mechanisms to evolve novel phenotypes such as multiple stripes, inverted stripes, and gradients of gene expression. Through a comprehensive and systematic analysis, we find that circuits that use alternative mechanisms differ in the likelihood of reaching novel phenotypes through mutation. We characterize the phenotypic transitions and identify key ingredients of the evolutionary potential, such as sensitive interactions and phenotypic hubs. Finally, we provide an intuitive understanding on how the modular design of a particular mechanism favors the access to novel phenotypes. Our work illustrates how the dynamical mechanism by which an organism develops constrains how it can evolve. It is striking that these dynamical mechanisms and their impact on evolvability can be observed even for such an apparently simple patterning task, performed by just three-node circuits.
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