Borodina Irina, Krabben Preben, Nielsen Jens
Center for Microbial Biotechnology, BioCentrum-DTU, Technical University of Denmark, DK-2800 Lyngby, Denmark.
Genome Res. 2005 Jun;15(6):820-9. doi: 10.1101/gr.3364705.
Streptomyces are filamentous soil bacteria that produce more than half of the known microbial antibiotics. We present the first genome-scale metabolic model of a representative of this group--Streptomyces coelicolor A3(2). The metabolism reconstruction was based on annotated genes, physiological and biochemical information. The stoichiometric model includes 819 biochemical conversions and 152 transport reactions, accounting for a total of 971 reactions. Of the reactions in the network, 700 are unique, while the rest are iso-reactions. The network comprises 500 metabolites. A total of 711 open reading frames (ORFs) were included in the model, which corresponds to 13% of the ORFs with assigned function in the S. coelicolor A3(2) genome. In a comparative analysis with the Streptomyces avermitilis genome, we showed that the metabolic genes are highly conserved between these species and therefore the model is suitable for use with other Streptomycetes. Flux balance analysis was applied for studies of the reconstructed metabolic network and to assess its metabolic capabilities for growth and polyketides production. The model predictions of wild-type and mutants' growth on different carbon and nitrogen sources agreed with the experimental data in most cases. We estimated the impact of each reaction knockout on the growth of the in silico strain on 62 carbon sources and two nitrogen sources, thereby identifying the "core" of the essential reactions. We also illustrated how reconstruction of a metabolic network at the genome level can be used to fill gaps in genome annotation.
链霉菌是丝状土壤细菌,已知的微生物抗生素中有一半以上是由它们产生的。我们展示了该类群的一个代表——天蓝色链霉菌A3(2)的首个基因组规模代谢模型。代谢重建基于注释基因、生理和生化信息。化学计量模型包括819个生化转化反应和152个转运反应,共计971个反应。网络中的反应,700个是独特的,其余是同工反应。该网络包含500种代谢物。模型中总共纳入了711个开放阅读框(ORF),这相当于天蓝色链霉菌A3(2)基因组中具有指定功能的ORF的13%。在与阿维链霉菌基因组的比较分析中,我们表明这些物种之间的代谢基因高度保守,因此该模型适用于其他链霉菌。通量平衡分析被用于研究重建的代谢网络,并评估其生长和聚酮化合物生产的代谢能力。野生型和突变体在不同碳源和氮源上生长的模型预测在大多数情况下与实验数据一致。我们估计了每个反应敲除对计算机模拟菌株在62种碳源和两种氮源上生长的影响,从而确定了必需反应的“核心”。我们还说明了如何在基因组水平上重建代谢网络以填补基因组注释中的空白。