Metabolic gene–deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-10

AUTHORS

Stephen S Fong, Bernhard Ø Palsson

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. More... »

PAGES

1056-1058

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ng1432

DOI

http://dx.doi.org/10.1038/ng1432

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1021820336

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/15448692


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