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Modelling 'evo-devo' with RNA.

Walter Fontana1

  • 1Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA. walter@santafe.edu

Bioessays : News and Reviews in Molecular, Cellular and Developmental Biology
|November 26, 2002
PubMed
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RNA folding into secondary structures models genotype-phenotype mapping. Analysis reveals rich statistical structures like neutral networks, with significant evolutionary implications.

Area of Science:

  • Biophysics
  • Computational Biology
  • Evolutionary Biology

Background:

  • RNA secondary structure formation is a fundamental biophysical process.
  • RNA folding serves as a tractable model for genotype-phenotype mapping.
  • Understanding this mapping is key to evolutionary dynamics.

Purpose of the Study:

  • To review key concepts in the computational and mathematical analysis of RNA folding.
  • To discuss the evolutionary implications of RNA's statistical structure.
  • To highlight shape space covering, neutral networks, and plastogenetic congruence.

Main Methods:

  • Computational analysis of RNA folding pathways.
  • Mathematical modeling of RNA sequence-structure relationships.
  • Review of existing literature on RNA structure and evolution.

Related Experiment Videos

Main Results:

  • RNA folding exhibits a rich statistical structure.
  • Key features include shape space covering and neutral networks.
  • Plastogenetic congruence provides insights into evolutionary constraints.

Conclusions:

  • RNA folding provides a robust biophysically grounded model for genotype-phenotype mapping.
  • The identified statistical structures have profound implications for understanding molecular evolution.
  • Further research into these concepts can illuminate evolutionary processes.