Mutation accumulation in bacteria exposed to UV radiation

Atsushi Shibai, Saburo Tsuru, Bei Wen Ying, Daisuke Motooka, Kazuyoshi Gotoh, Shota Nakamura, Tetsuya Yomo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Reducing native complexity from living organisms has significance in several aspects such as academic application as model organism and industrial application as factory of useful material. In particular, reduced complexity is also interesting in the field investigating the minimal form of "life-as-we-knowit." However, subtracting or inactivating genes from the genome without growth defects is difficult due to the complexity of gene network and error proofing functions. In this study, using model bacteria Escherichia coli (E. coli), we designed a culture system using ultraviolet as a mutagen in order to select possible mutants growing rapidly with genomic inactivation. Here, we demonstrated that the culture system could accumulation of many mutations and preservation of growth ability. These results suggest that our method is effective to obtain functionally reduced genome of E. coli.

Original languageEnglish
Title of host publicationArtificial Life 14 - Proceedings of the 14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014
EditorsHiroki Sayama, John Rieffel, Sebastian Risi, Rene Doursat, Hod Lipson
PublisherMIT Press Journals
Pages757-758
Number of pages2
ISBN (Electronic)9780262326216
Publication statusPublished - 2014
Externally publishedYes
Event14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014 - Manhattan, United States
Duration: Jul 30 2014Aug 2 2014

Publication series

NameArtificial Life 14 - Proceedings of the 14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014

Conference

Conference14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014
Country/TerritoryUnited States
CityManhattan
Period7/30/148/2/14

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence
  • Modelling and Simulation

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