The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Innovation and robustness in complex regulatory gene networks
Open accessAbstract
The history of life involves countless evolutionary innovations, a steady stream of ingenuity that has been flowing for more than 3 billion years. Very little is known about the principles of biological organization that allow such innovation. Here, we examine these principles for evolutionary innovation in gene expression patterns. To this end, we study a model for the transcriptional regulation networks that are at the heart of embryonic development. A genotype corresponds to a regulatory network of a given topology, and a phenotype corresponds to a steady-state gene expression pattern. Networks with the same phenotype form a connected graph in genotype space, where two networks are immediate neighbors if they differ by one regulatory interaction. We show that an evolutionary search on this graph can reach genotypes that are as different from each other as if they were chosen at random in genotype space, allowing evolutionary access to different kinds of innovation while staying close to a viable phenotype. Thus, although robustness to mutations may hinder innovation in the short term, we conclude that long-term innovation in gene expression patterns can only emerge in the presence of the robustness caused by connected genotype graphs.
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Cites
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Cited by
Robustness and evolvability: a paradox resolved
Wagner, A. (2008) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2007.1137 · Cited by 669
Self-citationDynamics of information diffusion and its applications on complex networks
Zhang, Z.-K., Liu, C., Zhan, X.-X., Lu, X., Zhang, C.-X., & Zhang, Y.-C. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.07.002 · Cited by 484
Mutational robustness can facilitate adaptation
Draghi, J. A., Parsons, T. L., Wagner, G. P., & Plotkin, J. B. (2010) · Nature · doi:10.1038/nature08694 · Cited by 336
Neutralism and selectionism: a network-based reconciliation
Wagner, A. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2473 · Cited by 309
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Metadata
- Authors
- Ciliberti, S., Martin, O. C., & Wagner, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-08-21
- Volume
- 104
- Issue
- 34
- Pages
- 13591-13596
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1982583288
- Cited by
- 362
- References
- 47
- FWCI
- 8.50
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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