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Evolutionary dynamics and information hierarchies in biological systems.

Publication ,  Journal Article
Walker, SI; Callahan, BJ; Arya, G; Barry, JD; Bhattacharya, T; Grigoryev, S; Pellegrini, M; Rippe, K; Rosenberg, SM
Published in: Annals of the New York Academy of Sciences
December 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.

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Published In

Annals of the New York Academy of Sciences

DOI

EISSN

1749-6632

ISSN

0077-8923

Publication Date

December 2013

Volume

1305

Start / End Page

1 / 17

Related Subject Headings

  • Humans
  • General Science & Technology
  • Evolution, Molecular
  • Epigenomics
  • Computational Biology
  • Chromatin
  • Biological Evolution
  • Animals
 

Citation

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Walker, S. I., Callahan, B. J., Arya, G., Barry, J. D., Bhattacharya, T., Grigoryev, S., … Rosenberg, S. M. (2013). Evolutionary dynamics and information hierarchies in biological systems. Annals of the New York Academy of Sciences, 1305, 1–17. https://doi.org/10.1111/nyas.12140
Walker, Sara Imari, Benjamin J. Callahan, Gaurav Arya, J David Barry, Tanmoy Bhattacharya, Sergei Grigoryev, Matteo Pellegrini, Karsten Rippe, and Susan M. Rosenberg. “Evolutionary dynamics and information hierarchies in biological systems.Annals of the New York Academy of Sciences 1305 (December 2013): 1–17. https://doi.org/10.1111/nyas.12140.
Walker SI, Callahan BJ, Arya G, Barry JD, Bhattacharya T, Grigoryev S, et al. Evolutionary dynamics and information hierarchies in biological systems. Annals of the New York Academy of Sciences. 2013 Dec;1305:1–17.
Walker, Sara Imari, et al. “Evolutionary dynamics and information hierarchies in biological systems.Annals of the New York Academy of Sciences, vol. 1305, Dec. 2013, pp. 1–17. Epmc, doi:10.1111/nyas.12140.
Walker SI, Callahan BJ, Arya G, Barry JD, Bhattacharya T, Grigoryev S, Pellegrini M, Rippe K, Rosenberg SM. Evolutionary dynamics and information hierarchies in biological systems. Annals of the New York Academy of Sciences. 2013 Dec;1305:1–17.
Journal cover image

Published In

Annals of the New York Academy of Sciences

DOI

EISSN

1749-6632

ISSN

0077-8923

Publication Date

December 2013

Volume

1305

Start / End Page

1 / 17

Related Subject Headings

  • Humans
  • General Science & Technology
  • Evolution, Molecular
  • Epigenomics
  • Computational Biology
  • Chromatin
  • Biological Evolution
  • Animals