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For rapid analysis of microbial metabolisms, (13)C-fingerprinting employs a set of tracers to generate unique labeling patterns in key amino acids that can highlight active pathways. In contrast to rigorous (13)C-metabolic flux analysis ((13)C-MFA), this method aims to provide metabolic insights without expensive flux measurements. Using (13)C-fingerprinting, we investigated the metabolic pathways in Rhodococcus opacus PD630, a promising biocatalyst for the conversion of lignocellulosic feedstocks into value-added chemicals. Specifically, seven metabolic insights were gathered as follows: (1) glucose metabolism mainly via the Entner-Doudoroff (ED) pathway; (2) lack of glucose catabolite repression during phenol co-utilization; (3) simultaneous operation of gluconeogenesis and the ED pathway for the co-metabolism of glucose and phenol; (4) an active glyoxylate shunt in acetate-fed culture; (5) high flux through anaplerotic pathways (e.g., malic enzyme and phosphoenolpyruvate carboxylase); (6) presence of alternative glycine synthesis pathway via glycine dehydrogenase; and (7) utilization of preferred exogenous amino acids (e.g., phenylalanine). Additionally, a (13)C-fingerprinting kit was developed for studying the central metabolism of non-model microbial species. This low-cost kit can be used to characterize microbial metabolisms and facilitate the design-build-test-learn cycle during the development of microbial cell factories.
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Hollinshead et al. (2015) studied this question.
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