Criticality Is an Emergent Property of Genetic Networks that Exhibit Evolvability

作者: Christian Torres-Sosa , Sui Huang , Maximino Aldana

DOI: 10.1371/JOURNAL.PCBI.1002669

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摘要: Accumulating experimental evidence suggests that the gene regulatory networks of living organisms operate in critical phase, namely, at transition between ordered and chaotic dynamics. Such dynamics network permits coexistence robustness flexibility which are necessary to ensure homeostatic stability (of a given phenotype) while allowing for switching multiple phenotypes (network states) as occurs development response environmental change. However, mechanisms through genetic evolve such behavior have remained elusive. Here we present an evolutionary model criticality naturally emerges from need balance two essential components evolvability: phenotype conservation innovation under mutations. We simulated Darwinian evolution random Boolean mutate interactions grow by duplication. The mutating were subjected selection both (i) preserve all already acquired (dynamical attractor (ii) generate new ones. Our results show this interplay extending phenotypic landscape (innovation) conserving existing (conservation) suffices cause population towards criticality. Furthermore, produced process exhibit structures with hubs (global regulators) similar observed topology real networks. Thus, dynamical certain elementary topological properties can emerge byproduct evolvability landscape.

参考文章(62)
Michael Lynch, John S. Conery, The evolutionary demography of duplicate genes Journal of Structural and Functional Genomics. ,vol. 3, pp. 35- 44 ,(2003) , 10.1023/A:1022696612931
Sui Huang, Stuart A. Kauffman, Complex Gene Regulatory Networks - from Structure to Biological Observables: Cell Fate Determination. Encyclopedia of Complexity and Systems Science. pp. 1180- 1213 ,(2009)
Barbara Drossel, Random Boolean Networks arXiv: Statistical Mechanics. pp. 69- 110 ,(2009) , 10.1002/9783527626359.CH3
S.A. Kauffman, Metabolic stability and epigenesis in randomly constructed genetic nets Journal of Theoretical Biology. ,vol. 22, pp. 437- 467 ,(1969) , 10.1016/0022-5193(69)90015-0
D. J. Earl, M. W. Deem, Evolvability is a selectable trait Proceedings of the National Academy of Sciences of the United States of America. ,vol. 101, pp. 11531- 11536 ,(2004) , 10.1073/PNAS.0404656101
Anton Crombach, Paulien Hogeweg, Evolution of Evolvability in Gene Regulatory Networks PLoS Computational Biology. ,vol. 4, pp. e1000112- ,(2008) , 10.1371/JOURNAL.PCBI.1000112
S. Ciliberti, O. C. Martin, A. Wagner, Innovation and robustness in complex regulatory gene networks Proceedings of the National Academy of Sciences of the United States of America. ,vol. 104, pp. 13591- 13596 ,(2007) , 10.1073/PNAS.0705396104
Björn Samuelsson, Carl Troein, Superpolynomial growth in the number of attractors in Kauffman networks. Physical Review Letters. ,vol. 90, pp. 098701- ,(2003) , 10.1103/PHYSREVLETT.90.098701