Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan 350, Taiwan.
J Bacteriol. 2011 Apr;193(7):1710-7. doi: 10.1128/JB.01218-10. Epub 2011 Feb 4.
Klebsiella pneumoniae is a Gram-negative bacterium of the family Enterobacteriaceae that possesses diverse metabolic capabilities: many strains are leading causes of hospital-acquired infections that are often refractory to multiple antibiotics, yet other strains are metabolically engineered and used for production of commercially valuable chemicals. To study its metabolism, we constructed a genome-scale metabolic model (iYL1228) for strain MGH 78578, experimentally determined its biomass composition, experimentally determined its ability to grow on a broad range of carbon, nitrogen, phosphorus and sulfur sources, and assessed the ability of the model to accurately simulate growth versus no growth on these substrates. The model contains 1,228 genes encoding 1,188 enzymes that catalyze 1,970 reactions and accurately simulates growth on 84% of the substrates tested. Furthermore, quantitative comparison of growth rates between the model and experimental data for nine of the substrates also showed good agreement. The genome-scale metabolic reconstruction for K. pneumoniae presented here thus provides an experimentally validated in silico platform for further studies of this important industrial and biomedical organism.
肺炎克雷伯氏菌是肠杆菌科的革兰氏阴性细菌,具有多种代谢能力:许多菌株是医院获得性感染的主要原因,这些感染往往对多种抗生素具有抗药性,而其他菌株则经过代谢工程改造,用于生产具有商业价值的化学品。为了研究其代谢,我们构建了一株 MGH 78578 菌株的基因组规模代谢模型(iYL1228),实验确定了其生物量组成,实验确定了其在广泛的碳、氮、磷和硫源上生长的能力,并评估了该模型准确模拟这些底物上生长与不生长的能力。该模型包含 1228 个基因,编码 1188 种酶,催化 1970 种反应,可以准确模拟 84%的测试底物的生长。此外,模型与实验数据的 9 种底物的生长速率的定量比较也显示出很好的一致性。因此,本文提出的肺炎克雷伯氏菌基因组规模代谢重建为进一步研究这一重要的工业和生物医学生物提供了一个经过实验验证的计算平台。