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Responses of Fluctuating Biological Systems

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Biologically Inspired Approaches to Advanced Information Technology (BioADIT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3853))

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Abstract

A linear relationship between responses of biological systems and their fluctuations is presented. The fluctuation is given by the variance of a given quantity, whereas the response is given as the average change in the quantity for a given parameter change. By studying experimental evolution where fluorescence per E.coli cell increased, we confirmed our relationship with a positive correlation between the evolutionary rate of fluorescence and its fluctuation observed over genetically identical cells. The generality of the relationship and its possible application to other fluctuating systems are discussed.

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References

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Author information

Authors and Affiliations

  1. Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, 2-1, Yamadaoka, Suita, Osaka, 565-0871, Japan

    Tetsuya Yomo & Yoichiro Ito

  2. Department of Biotechnology, Graduate School of Engineering, Osaka University, 2-1, Yamadaoka, Suita, Osaka, 565-0871, Japan

    Tetsuya Yomo

  3. Graduate School of Frontier Bioscience, Osaka University, 2-1, Yamadaoka, Suita, Osaka, 565-0871, Japan

    Tetsuya Yomo & Kunihiko Kaneko

  4. Department of Pure and Applied Sciences, University of Tokyo, Komaba, Meguro-ku, Tokyo, 153-8902, Japan

    Katsuhiko Sato & Kunihiko Kaneko

  5. ERATO, JST, 2-1, Yamadaoka, Suita, Osaka, 565-0871, Japan

    Tetsuya Yomo, Katsuhiko Sato, Yoichiro Ito & Kunihiko Kaneko

Authors
  1. Tetsuya Yomo
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  2. Katsuhiko Sato
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  3. Yoichiro Ito
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  4. Kunihiko Kaneko
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Editor information

Editors and Affiliations

  1. Biologically Inspired Robotic Group (BIRG), Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 14, CH-1015, Lausanne, Switzerland

    Auke Jan Ijspeert

  2. Osaka University, Japan

    Toshimitsu Masuzawa

  3. Department of Computer Science, Graduate School of Information Science and Technology, Osaka University, 1-3, Machikaneyama, Toyonaka, 560-8531, Osaka, Japan

    Shinji Kusumoto

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© 2006 Springer-Verlag Berlin Heidelberg

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Yomo, T., Sato, K., Ito, Y., Kaneko, K. (2006). Responses of Fluctuating Biological Systems. In: Ijspeert, A.J., Masuzawa, T., Kusumoto, S. (eds) Biologically Inspired Approaches to Advanced Information Technology. BioADIT 2006. Lecture Notes in Computer Science, vol 3853. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11613022_11

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  • DOI: https://doi.org/10.1007/11613022_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31253-6

  • Online ISBN: 978-3-540-32438-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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