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Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
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Natural languages and RNA virus evolution.

Ascensión Ariza-Mateos1,2, Carlos Briones3, Celia Perales2,4

  • 1Laboratory of RNA Archaeology, Instituto de Parasitología y Biomedicina 'López-Neyra' (CSIC), Granada, Spain.

The Journal of Physiology
|November 20, 2023
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Summary
This summary is machine-generated.

This study explores meaningful information in biology, contrasting objective data with subjective interpretations crucial for organismal responses. It compares theories like biosemiotics with genetic information and RNA virus evolution.

Keywords:
RNA archaeologyRNA virusRNAse IIIRNAse PUV‐C‐light‐ribozymebiocommunicationbiosemioticsviral quasispecies

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Area of Science:

  • Integrative biology
  • Information theory
  • Biosemiotics

Background:

  • Objective information (quantitative) from physics, math, and computer science is widely used in biology.
  • Subjective 'meaningful information' is organism-specific, relying on sensory perception and signal interpretation for action.

Purpose of the Study:

  • To review and contextualize theories of 'meaningful information' at the molecular level.
  • To compare these theories with the neo-Darwinian view of genetic information.
  • To analyze their implications for RNA virus evolution.

Main Methods:

  • Literature review and theoretical contextualization.
  • Comparative analysis of information theories in biology.
  • Exploration of biosemiotics, code-biology, biocommunication, and biohermeneutics.

Main Results:

  • Identified key theories addressing subjective, meaningful information in biological systems.
  • Highlighted differences between objective and subjective information processing.
  • Established a framework for comparing these theories with genetic information paradigms.

Conclusions:

  • Meaningful information theories offer insights into organism-environment interactions beyond purely quantitative genetic information.
  • These perspectives are crucial for understanding complex biological processes, including rapid viral evolution.