Robust identification of metabolic control for microbial l-methionine production following an easy-to-use puristic approach

摘要: The identification of promising metabolic engineering targets is a key issue in control analysis (MCA). Conventional approaches make intensive use model-based studies, such as exploiting post-pulse dynamics after proper perturbation the microbial system. Here, we present an easy-to-use, purely data-driven approach, defining pool efflux capacities (PEC) for identifying reactions that exert highest flux linear pathways. Comparisons with linlog-based MCA and substrate elasticities (DDSE) showed similar steps were identified using PEC. Using example l-methionine production recombinant Escherichia coli, PEC consistently robustly main controls data non-labeled 12C-l-serine stimulus. Furthermore, application full-labeled 13C-l-serine stimuli yielded additional insights into stimulus propagation to l-methionine. performed on 13C set revealed same 12C set. Notably, typical drawback metabolome analysis, namely, omnipresent leakage metabolites, was excluded approach.