2H and 13C metabolic flux analysis elucidates in vivo thermodynamics of the ED pathway in Zymomonas mobilis

运动发酵单胞菌 代谢途径 代谢通量分析 磷酸戊糖途径 生物化学 柠檬酸循环 焊剂(冶金) 糖酵解 化学 代谢网络 微生物代谢 莽草酸途径 生物 新陈代谢 生物合成 细菌 发酵 乙醇燃料 遗传学 有机化学
作者
Tyler B. Jacobson,Paul Adamczyk,David Stevenson,Matthew Regner,John Ralph,Jennifer L. Reed,Daniel Amador‐Noguez
出处
期刊:Metabolic Engineering [Elsevier]
卷期号:54: 301-316 被引量:53
标识
DOI:10.1016/j.ymben.2019.05.006
摘要

Zymomonas mobilis is an industrially relevant bacterium notable for its ability to rapidly ferment simple sugars to ethanol using the Entner-Doudoroff (ED) glycolytic pathway, an alternative to the well-known Embden-Meyerhof-Parnas (EMP) pathway used by most organisms. Recent computational studies have predicted that the ED pathway is substantially more thermodynamically favorable than the EMP pathway, a potential factor explaining the high glycolytic rate in Z. mobilis. Here, to investigate the in vivo thermodynamics of the ED pathway and central carbon metabolism in Z. mobilis, we implemented a network-level approach that integrates quantitative metabolomics with 2H and 13C metabolic flux analysis to estimate reversibility and Gibbs free energy (ΔG) of metabolic reactions. This analysis revealed a strongly thermodynamically favorable ED pathway in Z. mobilis that is nearly twice as favorable as the EMP pathway in E. coli or S. cerevisiae. The in vivo step-by-step thermodynamic profile of the ED pathway was highly similar to previous in silico predictions, indicating that maximizing ΔG for each pathway step likely constitutes a cellular objective in Z. mobilis. Our analysis also revealed novel features of Z. mobilis metabolism, including phosphofructokinase-like enzyme activity, tricarboxylic acid cycle anaplerosis via PEP carboxylase, and a metabolic imbalance in the pentose phosphate pathway resulting in excretion of shikimate pathway intermediates. The integrated approach we present here for in vivo ΔG quantitation may be applied to the thermodynamic profiling of pathways and metabolic networks in other microorganisms and will contribute to the development of quantitative models of metabolism.
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