Evolutionary dynamics and information hierarchies in biological systems

TitleEvolutionary dynamics and information hierarchies in biological systems
Publication TypeJournal Article
Year of Publication2013
AuthorsSI Walker, BJ Callahan, G Arya, JD Barry, T Bhattacharya, S Grigoryev, M Pellegrini, K Rippe, and SM Rosenberg
JournalAnnals of the New York Academy of Sciences
Start Page1
Pagination1 - 17
Date Published12/2013

The study of evolution has entered a revolutionary new era, where quantitative and predictive methods are transforming the traditionally qualitative and retrospective approaches of the past. Genomic sequencing and modern computational techniques are permitting quantitative comparisons between variation in the natural world and predictions rooted in neo-Darwinian theory, revealing the shortcomings of current evolutionary theory, particularly with regard to large-scale phenomena like macroevolution. Current research spanning and uniting diverse fields and exploring the physical and chemical nature of organisms across temporal, spatial, and organizational scales is replacing the model of evolution as a passive filter selecting for random changes at the nucleotide level with a paradigm in which evolution is a dynamic process both constrained and driven by the informational architecture of organisms across scales, from DNA and chromatin regulation to interactions within and between species and the environment. © 2013 New York Academy of Sciences.

Short TitleAnnals of the New York Academy of Sciences