4.6 Article

Information theory, evolutionary innovations and evolvability

Publisher

ROYAL SOC
DOI: 10.1098/rstb.2016.0416

Keywords

evolvability; gene duplication; progress

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Funding

  1. Swiss National Science Foundation [31003A_146137]
  2. EpiphysX RTD grant from SystemsX.ch
  3. University Priority Research Program in Evolutionary Biology at the University of Zurich
  4. Swiss National Science Foundation (SNF) [31003A_146137] Funding Source: Swiss National Science Foundation (SNF)

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How difficult is it to 'discover' an evolutionary adaptation or innovation? I here suggest that information theory, in combination with high-throughput DNA sequencing, can help answer this question by quantifying a new phenotype's information content. I apply this framework to compute the phenotypic information associated with novel gene regulation and with the ability to use novel carbon sources. The framework can also help quantify how DNA duplications affect evolvability, estimate the complexity of phenotypes and clarify the meaning of 'progress' in Darwinian evolution. This article is part of the themed issue 'Process and pattern in innovations from cells to societies'.

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