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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Global relationships in fluctuation and response in adaptive evolution.

Chikara Furusawa1, Kunihiko Kaneko2

  • 1Quantitative Biology Center, RIKEN, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan chikara.furusawa@riken.jp.

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Cellular adaptation and evolution involve changes in component concentrations. These changes are proportional between adaptation and evolution, suggesting evolvability is influenced by non-genetic fluctuations.

Keywords:
adaptive evolutioncomputer simulationexperimental evolutionglobal relationship

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Area of Science:

  • Cellular and Molecular Biology
  • Evolutionary Biology
  • Systems Biology

Background:

  • Cells adapt to environmental changes through phenotypic alterations.
  • Evolutionary processes involve genomic mutations and selection.
  • Understanding the relationship between adaptation and evolution is crucial for cell biology.

Purpose of the Study:

  • To analyze simulated adaptive evolution in a cell model.
  • To investigate the proportionality of concentration changes during adaptation and evolution.
  • To explore the link between non-genetic noise and evolvability.

Main Methods:

  • Simulated adaptive evolution using a cell model with thousands of intracellular components.
  • Analysis of concentration changes during adaptation and evolution.
  • Phenomenological theory and transcriptome analysis of laboratory evolution in Escherichia coli.

Main Results:

  • Concentration changes due to adaptation are proportional to those from evolution across all components.
  • The proportionality coefficient correlates with changes in cell growth rate.
  • Phenotypic variance from non-genetic noise is proportional to variance from genomic alterations.

Conclusions:

  • Evolvability of specific phenotypes is predetermined by non-genetic fluctuations.
  • Evolutionary changes in phenotypic states are significantly restricted.
  • Findings provide a foundation for a quantitative theory of phenotypic plasticity and robustness in evolution.