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Nucleic Acids Research
Article . 2011 . Peer-reviewed
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Nucleic Acids Research
Article
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Evolutionary genome engineering using a restriction–modification system

Authors: Asakura, Yoko; Kojima, Hiroyuki; Kobayashi, Ichizo;

Evolutionary genome engineering using a restriction–modification system

Abstract

Modification of complex microbial cellular processes is often necessary to obtain organisms with particularly favorable characteristics, but such experiments can take many generations to achieve. In the present article, we accelerated the experimental evolution of Escherichia coli populations under selection for improved growth using one of the restriction-modification systems, which have shaped bacterial genomes. This resulted in faster evolutionary changes in both the genome and bacterial growth. Transcriptome/genome analysis at various stages enabled prompt identification of sequential genome rearrangements and dynamic gene-expression changes associated with growth improvement. The changes were related to cell-to-cell communication, the cell death program, as well as mass production and energy consumption. These observed changes imply that improvements in microorganism population growth can be achieved by inactivating the cellular mechanisms regulating fraction of active cells in a population. Some of the mutations were shown to have additive effects on growth. These results open the way for the application of evolutionary genome engineering to generate organisms with desirable properties.

Related Organizations
Keywords

Adaptation, Physiological, Evolution, Molecular, Phenotype, Synthetic Biology and Chemistry, Mutation, Escherichia coli, DNA Restriction-Modification Enzymes, Genetic Engineering, Transcriptome, Genome, Bacterial

  • BIP!
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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Average
Green
gold