Metabolic gene-deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes
Metabolic gene-deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes
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DOI：
10.1038/ng1432
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发表时间：
2004-10-01
期刊：
影响因子：
30.8
通讯作者：
Palsson, BO
中科院分区：
文献类型：
--
作者：
Fong, SS;Palsson, BO
基因组规模的新陈代谢模型能够准确描述细胞表型，前景看好。在这里，我们展示了携带单一代谢基因缺失的大肠杆菌菌株在适应性进化过程中提高了它们的生长速度(平均增加了87%)，并且在50个被测试的菌株中有39个(78%)的终点生长速度可以通过计算进行预测。这些结果表明，计算模型可以用来预测遗传修饰的最终影响。
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.