ArticleNature communications2017
Evolution of new regulatory functions on biophysically realistic fitness landscapes.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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Who cites it
13 citing papers in PubMed.
- The adaptive landscapes of three globaleLife · 2026Article
- The role of promiscuous molecular recognition in the evolution of RNase-based self-incompatibility in plants.Nature communications · 2024Article
- Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors.Cell systems · 2024Article
- Dominance reversals: the resolution of genetic conflict and maintenance of genetic variation.Proceedings. Biological sciences · 2024Review
- Robustness and innovation in synthetic genotype networks.Nature communications · 2023Article
- Article
- On the incongruence of genotype-phenotype and fitness landscapes.PLoS computational biology · 2022Article
- A Family of Fitness Landscapes Modeled through Gene Regulatory Networks.Entropy (Basel, Switzerland) · 2022Article
- Adaptive gene misregulation.Genetics · 2021Article
- Nonequilibrium models of optimal enhancer function.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- The relation between crosstalk and gene regulation form revisited.PLoS computational biology · 2020Article
- Survival of the simplest in microbial evolution.Nature communications · 2019Article
- Towards a Dynamic Interaction Network of Life to unify and expand the evolutionary theory.BMC biology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Gene expression is controlled by networks of regulatory proteins that interact specifically with external signals and DNA regulatory sequences. These interactions force the network components to co-evolve so as to continually maintain function. Yet, existing models of evolution mostly focus on isolated genetic elements. In contrast, we study the essential process by which regulatory networks grow: the duplication and subsequent specialization of network components. We synthesize a biophysical model of molecular interactions with the evolutionary framework to find the conditions and pathways by which new regulatory functions emerge. We show that specialization of new network components is usually slow, but can be drastically accelerated in the presence of regulatory crosstalk and mutations that promote promiscuous interactions between network components.Gene networks evolve by transcription factor (TF) duplication and divergence of their binding site specificities, but little is known about the global constraints at play. Here, the authors study the coevolution of TFs and binding sites using a biophysical-evolutionary approach, and show that the emerging complex fitness landscapes strongly influence regulatory evolution with a role for crosstalk.
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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.