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

被引：217

作者：

Fong, SS ^{[1
]}

Palsson, BO ^{[1
]}

机构：

[1] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA

来源：

NATURE GENETICS | 2004年 / 36卷 / 10期

基金：

美国国家卫生研究院; 美国国家科学基金会;

关键词：

D O I：

10.1038/ng1432

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

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.

引用

页码：1056 / 1058

页数：3

共 12 条

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