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Phenotypic fluctuation rendered by a single genotype and evolutionary rate

Author

Listed:
  • Yomo, Tetsuya
  • Ito, Yoichiro
  • Sato, Katsuhiko
  • Kaneko, Kunihiko

Abstract

Do proteins with larger fluctuations in their functions show higher rates of their evolutions? To gain some insight on the question, we conducted an in vitro experimental evolution where a mutant of green fluorescence protein (GFP) with random sequence at its N terminus was subjected to ten cycles of random mutagenesis and selection based on the fluorescence expressed by host Escherichia coli cell. The evolution rate was defined as the fluorescence increase from the parental clone to the selected clone at each generation and the fluctuation was defined as the variance in green fluorescence among the host cells of the parental clone at each generation. The analysis of the relationship between the evolution rate and the fluctuation based on fluctuation–dissipation theorem in statistical physics shows that the gene or encoded protein rendering a larger fluctuation of the fluorescence shows a larger evolution rate, i.e., positive correlation between fluctuation and molecular evolution rate.

Suggested Citation

  • Yomo, Tetsuya & Ito, Yoichiro & Sato, Katsuhiko & Kaneko, Kunihiko, 2005. "Phenotypic fluctuation rendered by a single genotype and evolutionary rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(1), pages 1-5.
    • Handle: RePEc:eee:phsmap:v:350:y:2005:i:1:p:1-5
    DOI: 10.1016/j.physa.2004.11.025
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    References listed on IDEAS

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    1. Yomogida, Morihiro, 2004. "Vertical Intra-Industry Trade and Factor Proportions," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 45(1), pages 67-79, June.
    2. Mahendra Reddy & John Yanagida, 1998. "Energy price shocks, input substitution and developmental implications: A translog model applied to Fiji," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 3(1), pages 21-34.
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