Metabolic gene-deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes

Stephen S. Fong; Bernhard Palsson

doi:10.1038/ng1432

Metabolic gene-deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes

Stephen S. Fong, Bernhard Palsson^*

^*Corresponding author for this work

University of Iceland

Research output: Contribution to journal › Article › peer-review

245 Citations (Scopus)

Abstract

Genome-scale metabolic models have a promising ability to describe cellular phenotypes accurately. Here we show that strains of Escherichia coli carrying a deletion of a single metabolic gene increase their growth rates (by 87% on average) during adaptive evolution and that the endpoint growth rates can be predicted computationally in 39 of 50 (78%) strains tested. These results show that computational models can be used to predict the eventual effects of genetic modifications.

Original language	English
Pages (from-to)	1056-1058
Number of pages	3
Journal	Nature Genetics
Volume	36
Issue number	10
DOIs	https://doi.org/10.1038/ng1432
Publication status	Published - Oct 2004

Bibliographical note

Funding Information:
We thank J.L. Reed and J.S. Edwards for critical input and discussions. Funding for this work was provided by the National Institutes of Health and the National Science Foundation.

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10.1038/ng1432

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abstract = "Genome-scale metabolic models have a promising ability to describe cellular phenotypes accurately. Here we show that strains of Escherichia coli carrying a deletion of a single metabolic gene increase their growth rates (by 87% on average) during adaptive evolution and that the endpoint growth rates can be predicted computationally in 39 of 50 (78%) strains tested. These results show that computational models can be used to predict the eventual effects of genetic modifications.",

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Metabolic gene-deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes

Abstract

Bibliographical note

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