Waddington's canalization revisited: Developmental stability and evolution
By M. Siegal, Aviv Bergman. Proceedings of the National Academy of Sciences of the United States of America, 2002
625 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Genetics
View Paper: https://www.semanticscholar.org/paper/041567f825ee13595fe9dbabd2d3c9098448c2b5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology, Evolution, Behavior and Systematics
- Robert D. Leclerc
- Daniel E. L. Promislow
- Joan T. Richtsmeier
- Nathan M. Young
- Katherine E. Willmore
- C. Klingenberg
- Günter P. Wagner
- James M. Cheverud
In Genetics
- Robert D. Leclerc
- C. Klingenberg
- Thomas F. Hansen
- James M. Cheverud
- Daniel E. L. Promislow
- M. Siegal
- Joanna Masel
- Günter P. Wagner
Citations in the corpus
- Evolution and development of shape: integrating quantitative approaches (2010, background): “or, more specifically, the processes of regulation of developmental gene”
- Phenotypic Variability: Its Components, Measurement and Underlying Developmental Processes (2007, methodology): “The robust nature of complex genetic networks has been demonstrated theoretically using several computer models (Wagner 1996; von Dassow et al. 2000; Siegal and Bergman 2002; Hermisson et al. 2003, Hermisson and Wagner 2004; Huerta-Sanchez and Durrett 2007).”
- Robustness: mechanisms and consequences (2009, background): “Theoretical studies, using computational simulations of gene-regulatory networks, suggest both that intrinsic robustness could be widespread and that natural selection can increase robustness under diverse and reasonable sets of parameter values and assumptions [16–22].”
- Functional and evolutionary inference in gene networks: does topology matter? (2006, methodology): “We previously used an extension of Wagner’s model to explore the causes and consequences of robustness to mutations in such networks (Siegal and Bergman 2002; Bergman and Siegal 2003).”
- Robustness Can Evolve Gradually in Complex Regulatory Gene Networks with Varying Topology (2007, neutral): “[42–45].”
- Survival of the sparsest: robust gene networks are parsimonious (2008, methodology): “…natural selection should favor more robust networks, studies are now customarily reported using more densely connected networks (Wagner, 1996; Siegal and Bergman, 2002; Bergman and Siegal, 2003; Masel, 2004; Azevedo et al, 2006; Ciliberti et al, 2007a, b; & 2008 EMBO and Nature Publishing…”
- EVOLUTION AND DETECTION OF GENETIC ROBUSTNESS (2003, background): “As first observed by Wagner (1996) and recently by Siegal and Bergmann (2002), developmental stability and mutational robustness are correlated in certain network models .”
- Hierarchical Network Structure Promotes Dynamical Robustness (2014, background): “Robustness is of interest in biological systems at all scales, and has been previously studied in the context of gene-regulatory networks [13, 16, 17, 19, 20, 22].”