2019Seibutsu ButsuriOpen access

Analysis of Bacterial Laboratory Evolution toward Prediction, Control, and Macroscopic State Theory of Evolution

Chikara Furusawa, Takaaki Horinouchi

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Abstract

During adaptive evolution, phenotype and genotype dynamically change; however, the relationship between these changes and associated constraints is yet to be fully elucidated. In this review, we focus on the analysis of phenotypic and genotypic changes occurred in Escherichia coli cells during laboratory evolution experiments. We demonstrated that the change of fitness can be quantitatively predicted by the expression changes of a small number of genes, suggesting that phenotypic changes in adaptive evolution are constrained on relatively low-dimensional dynamics. The automated system for laboratory evolution is also presented, which enables us to achieve large-scale data in bacterial adaptive evolution.

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During adaptive evolution, phenotype and genotype dynamically change; however, the relationship between these changes and associated constraints is yet to be fully elucidated. In this review, we focus on the analysis of phenotypic and genotypic changes occurred in Escherichia coli cells during laboratory evolution experiments. We demonstrated that the change of fitness can be quantitatively predicted by the expression changes of a small number of genes, suggesting that phenotypic changes in adaptive evolution are constrained on relatively low-dimensional dynamics. The automated system for laboratory evolution is also presented, which enables us to achieve large-scale data in bacterial adaptive evolution.

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Available abstract

During adaptive evolution, phenotype and genotype dynamically change; however, the relationship between these changes and associated constraints is yet to be fully elucidated. In this review, we focus on the analysis of phenotypic and genotypic changes occurred in Escherichia coli cells during laboratory evolution experiments. We demonstrated that the change of fitness can be quantitatively predicted by the expression changes of a small number of genes, suggesting that phenotypic changes in adaptive evolution are constrained on relatively low-dimensional dynamics. The automated system for laboratory evolution is also presented, which enables us to achieve large-scale data in bacterial adaptive evolution.

Key concepts: Adaptive evolution, Experimental evolution, Phenotype, Biology, Evolutionary biology, Genotype, Molecular evolution, Time evolution

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