磷酸戊糖途径
谷氨酸棒杆菌
脱氢酶
生物化学
酶
代谢物
化学
NAD+激酶
生物
立体化学
糖酵解
基因
作者
Bernd Moritz,Katharina Striegel,Albert A. de Graaf,Hermann Sahm
出处
期刊:European journal of biochemistry
[Wiley]
日期:2000-06-01
卷期号:267 (12): 3442-3452
被引量:137
标识
DOI:10.1046/j.1432-1327.2000.01354.x
摘要
The glucose‐6‐phosphate (Glc6 P ) and 6‐phosphogluconate (6 P G) dehydrogenases of the amino‐acid‐producing bacterium Corynebacterium glutamicum were purified to homogeneity and kinetically characterized. The Glc6 P dehydrogenase was a heteromultimeric complex, which consists of Zwf and OpcA subunits. The product inhibition pattern of the Glc6 P dehydrogenase was consistent with an ordered bi‐bi mechanism. The 6 P G dehydrogenase was found to operate according to a Theorell–Chance ordered bi‐ter mechanism. Both enzymes were inhibited by NADPH and the 6 P G dehydrogenase additionally by ATP, fructose 1,6‐bisphosphate (Fru1,6 P 2 ), d ‐glyceraldehyde 3‐phosphate (Gra3 P ), erythrose 4‐phosphate and ribulose 5‐phosphate (Rib5 P ). The inhibition by NADPH was considered to be most important, with inhibition constants of around 25 µ m for both enzymes. Intracellular metabolite concentrations were determined in two isogenic strains of C. glutamicum with plasmid‐encoded NAD‐ and NADP‐dependent glutamate dehydrogenases. NADP + and NADPH levels were between 130 µ m and 290 µ m , which is very much higher than the respective K m and K i values. The Glc6 P concentration was around 500 µ m in both strains. The in vivo fluxes through the oxidative part of the pentose phosphate pathway calculated on the basis of intracellular metabolite concentrations and the kinetic constants of the purified enzymes determined in vitro were in agreement with the same fluxes determined by NMR after 13 C‐labelling. From the derived kinetic model thus validated, it is concluded that the oxidative pentose phosphate pathway in C. glutamicum is mainly regulated by the ratio of NADPH and NADP + concentrations and the specific enzyme activities of both dehydrogenases.
科研通智能强力驱动
Strongly Powered by AbleSci AI