3d International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems

Research Article

Synthetic ecosystem of Escherichia coli for discovery of novel cooperative and self-adaptive algorithms

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  • @INPROCEEDINGS{10.4108/ICST.BIONETICS2008.4683,
        author={Kazufumi Hosoda and Kotaro Mori and Tetsuya Yomo and Yasunori Shiroguchi and Yoshinori Yamauchi and Akiko Kashiwagi},
        title={Synthetic ecosystem of Escherichia coli for discovery of novel cooperative and self-adaptive algorithms},
        proceedings={3d International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems},
        publisher={ICST},
        proceedings_a={BIONETICS},
        year={2010},
        month={5},
        keywords={Synthetic ecosystem Obligate mutualism Self-adaptive algorithm},
        doi={10.4108/ICST.BIONETICS2008.4683}
    }
    
  • Kazufumi Hosoda
    Kotaro Mori
    Tetsuya Yomo
    Yasunori Shiroguchi
    Yoshinori Yamauchi
    Akiko Kashiwagi
    Year: 2010
    Synthetic ecosystem of Escherichia coli for discovery of novel cooperative and self-adaptive algorithms
    BIONETICS
    ICST
    DOI: 10.4108/ICST.BIONETICS2008.4683
Kazufumi Hosoda1,*, Kotaro Mori2,*, Tetsuya Yomo1,2,3,*, Yasunori Shiroguchi1,*, Yoshinori Yamauchi1,*, Akiko Kashiwagi4,*
  • 1: IST, Graduate School of Information Science and Technology, Osaka university 1-5 Yamadaoka,Suita, Osaka, 565-0871, Japan +81-(0)6-6879-4151
  • 2: FBS, Graduate School of Frontier Biosciences, Osaka university 1-5 Yamadaoka,Suita, Osaka, 565-0871, Japan +81-(0)6-6879-4151
  • 3: ERATO, Exploratory Research for Advanced Technology
  • 4: Faculty of Agriculture and Life Sciences, Hirosaki University
*Contact email: hosoda@ist.osaka-u.ac.jp, mori_kotaro@bio.eng.osaka-u.ac.jp, Yomo@ist.osaka-u.ac.jp, yasunori_shiroguchi@ist.osaka-u.ac.jp, yamauchi@fbs.osaka-u.ac.jp, kashi_a1@cc.hirosaki-u.ac.jp

Abstract

Symbiosis of different biosystems is equivalent to the merge (adaptation) of different information networks. In order to understand the basis underlying symbiosis, we artificially constructed the simplest obligate and mutual symbiosis (obligate mutualism) composed of two different nutrient requiring mutants (auxotrophs) of Escherichia coli (E. coli), to find out a novel cooperative and self-adaptive algorithm. The constructed synthetic symbiosis grew with cooperative interactions and kept its growth in multiple subcultures. From the quantitative analyses, we found that E. coli in co-culture must keep their nutrient production rates at least 20-fold higher than those in solo-culture, indicating the presence of cooperative and self-adaptive mechanism regulating bacterial internal conditions for the symbiosis. Furthermore, we performed “on plate” culture and succeeded in finding a typical spatial pattern of the symbiotic colony. Further analyses of this synthetic symbiosis would provide a novel algorithm for self-organization of multiple biological networks, which is likely to be applicable for information networks.