Tweeddale H, Notley-McRobb L, Ferenci T
Department of Microbiology, University of Sydney, New South Wales 2006, Australia.
J Bacteriol. 1998 Oct;180(19):5109-16. doi: 10.1128/JB.180.19.5109-5116.1998.
Escherichia coli growing on glucose in minimal medium controls its metabolite pools in response to environmental conditions. The extent of pool changes was followed through two-dimensional thin-layer chromatography of all 14C-glucose labelled compounds extracted from bacteria. The patterns of metabolites and spot intensities detected by phosphorimaging were found to reproducibly differ depending on culture conditions. Clear trends were apparent in the pool sizes of several of the 70 most abundant metabolites extracted from bacteria growing in glucose-limited chemostats at different growth rates. The pools of glutamate, aspartate, trehalose, and adenosine as well as UDP-sugars and putrescine changed markedly. The data on pools observed by two-dimensional thin-layer chromatography were confirmed for amino acids by independent analysis. Other unidentified metabolites also displayed different spot intensities under various conditions, with four trend patterns depending on growth rate. As RpoS controls a number of metabolic genes in response to nutrient limitation, an rpoS mutant was also analyzed for metabolite pools. The mutant had altered metabolite profiles, but only some of the changes at slow growth rates were ascribable to the known control of metabolic genes by RpoS. These results indicate that total metabolite pool ("metabolome") analysis offers a means of revealing novel aspects of cellular metabolism and global regulation.
在基本培养基中利用葡萄糖生长的大肠杆菌会根据环境条件控制其代谢物池。通过对从细菌中提取的所有14C标记葡萄糖化合物进行二维薄层色谱分析,跟踪代谢物池变化的程度。发现通过磷光成像检测到的代谢物模式和斑点强度根据培养条件可重复地有所不同。从在不同生长速率的葡萄糖限制恒化器中生长的细菌中提取的70种最丰富的代谢物中的几种,其代谢物池大小呈现出明显的趋势。谷氨酸、天冬氨酸、海藻糖、腺苷以及UDP-糖和腐胺的代谢物池发生了显著变化。通过独立分析,二维薄层色谱观察到的氨基酸代谢物池数据得到了证实。其他未鉴定的代谢物在各种条件下也显示出不同的斑点强度,根据生长速率有四种趋势模式。由于RpoS会响应营养限制控制许多代谢基因,因此还对rpoS突变体的代谢物池进行了分析。该突变体的代谢物谱发生了改变,但在缓慢生长速率下只有一些变化可归因于RpoS对代谢基因的已知控制。这些结果表明,总代谢物池(“代谢组”)分析提供了一种揭示细胞代谢和全局调控新方面的方法。