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Phenotypic convergence in bacterial adaptive evolution to ethanol stress

  • Horinouchi, Takaaki1
  • Suzuki, Shingo1
  • Hirasawa, Takashi2, 3
  • Ono, Naoaki4
  • Yomo, Tetsuya3, 5
  • Shimizu, Hiroshi3
  • Furusawa, Chikara1, 3
  • 1 Quantitative Biology Center (QBiC), RIKEN, 6-2-3 Furuedai, Suita, Osaka, 565-0874, Japan , Suita (Japan)
  • 2 Tokyo Institute of Technology, Department of Bioengineering, 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8501, Japan , Midori-ku (Japan)
  • 3 Osaka University, Graduate School of Information Science and Technology, 1-5 Yamada-oka, Suita, Osaka, 565-0871, Japan , Suita (Japan)
  • 4 Nara Institute of Science and Technology, Graduate School of Information Science, Ikoma, Nara, 630-0192, Japan , Ikoma (Japan)
  • 5 Osaka University, Graduate School of Frontier Biosciences, 1-5 Yamada-oka, Suita, Osaka, 565-0871, Japan , Suita (Japan)
Published Article
BMC Evolutionary Biology
Springer (Biomed Central Ltd.)
Publication Date
Sep 03, 2015
DOI: 10.1186/s12862-015-0454-6
Springer Nature


BackgroundBacterial cells have a remarkable ability to adapt to environmental changes, a phenomenon known as adaptive evolution. During adaptive evolution, phenotype and genotype dynamically changes; however, the relationship between these changes and associated constraints is yet to be fully elucidated.ResultsIn this study, we analyzed phenotypic and genotypic changes in Escherichia coli cells during adaptive evolution to ethanol stress. Phenotypic changes were quantified by transcriptome and metabolome analyses and were similar among independently evolved ethanol tolerant populations, which indicate the existence of evolutionary constraints in the dynamics of adaptive evolution. Furthermore, the contribution of identified mutations in one of the tolerant strains was evaluated using site-directed mutagenesis. The result demonstrated that the introduction of all identified mutations cannot fully explain the observed tolerance in the tolerant strain.ConclusionsThe results demonstrated that the convergence of adaptive phenotypic changes and diverse genotypic changes, which suggested that the phenotype–genotype mapping is complex. The integration of transcriptome and genome data provides a quantitative understanding of evolutionary constraints.

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