Metabolic gene–deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes
Open Access
- 26 September 2004
- journal article
- Published by Springer Science and Business Media LLC in Nature Genetics
- Vol. 36 (10), 1056-1058
- https://doi.org/10.1038/ng1432
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.This publication has 11 references indexed in Scilit:
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