Poised For Survival: Criticality, Natural Selection, And Excitation-Transcription Coupling
Keywords
Boolean networks; Evolution; Genes; LZ complexity; Neurons
Abstract
Neurologically-complex species utilize two intricately coupled information-processing systems to adapt to their social and natural environments. Action potentials (APs) facilitate rapid responses to the nearly continuous fluctuations in the animal's surroundings. By contrast, genetic encodings comprise a molecular memory of ancient adaptive responses expressed as cognitive, emotional, or behavioral phenotypes. The linking of the two systems via intracellular Ca2+ networks which address transcription factors - e.g., cAMP response element-binding protein (CREB) - is an appropriate focus for the biology of human behavior. Computational modeling utilizing Boolean networks (BNs) is a suitable qualitative method, requiring no kinetic information, for eliciting the systems' architectural properties. In particular, BNs can reveal critical intracellular regimes of possible evolutionary significance. As a platform for future research, we propose that those networks sufficiently robust to attenuate damaging intracellular noise and deleterious mutations, yet sufficiently close to chaos to permit or amplify adaptive noise and favorable mutations, would be favored by natural selection. Critical regimes of this type would be, literally, "poised for survival", and would stabilize and promote the survival of their correlated cultural phenotypes.
Publication Date
1-1-2015
Publication Title
International Journal of Biochemistry and Cell Biology
Volume
61
Number of Pages
1-7
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.biocel.2015.01.013
Copyright Status
Unknown
Socpus ID
84922233219 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84922233219
STARS Citation
Wallace, Ron, "Poised For Survival: Criticality, Natural Selection, And Excitation-Transcription Coupling" (2015). Scopus Export 2015-2019. 7.
https://stars.library.ucf.edu/scopus2015/7