2026-10-07T21:42:08Z https://www.scidb.cn/oai

10.57760/sciencedb.013vk 2026-09-28T16:57:19Z

2026-09-28 Metabolic engineering of the thermophilic fungus Myceliophthora thermophila for L-glutamate production from lignocellulosic biomass doi:10.57760/sciencedb.013vk en l-Glutamic acid is conventionally produced by bacteria from starch-derived sugar while its production in eukaryotic hosts remains rarely reported. The thermophilic ascomycete fungus Myceliophthora thermophila has been developed as a platform for producing value-added chemicals from lignocellulosic biomass. In this study, we explored the feasibility of engineering M. thermophila for l-glutamate production from biomass-derived carbon sources. Genome-scale metabolic modeling indicated that M. thermophila has the stoichiometric capacity to synthesize l-glutamate from glucose and ammonium. Experimental fermentation confirmed extracellular l-glutamate accumulation, and medium optimization revealed that nitrogen source selection and extracellular pH homeostasis strongly affected l-glutamate accumulation. Overexpression of the native NADPH-dependent glutamate dehydrogenase gene gdh1 markedly increased glutamate production. Additional engineering strategies targeting membrane-associated metabolism, glutamate transport, mitochondrial precursor transport, and competing α-ketoglutarate-consuming pathways provided insights into the regulation of glutamate metabolism in filamentous fungi. The engineered strain produced 3.41 g/L l-glutamate from glucose. Moreover, 1.50 g/L and 1.49 g/L l-glutamate were obtained directly from cellulose and raw corncob, respectively. This study establishes M. thermophila as a proof-of-concept thermophilic fungal platform for l-glutamate production from lignocellulosic substrates and provides a framework for engineering amino acid biosynthesis in cellulolytic fungi. Filamentous fungus; Myceliophthora thermophila; L-Glutamate; Metabolic engineering; Plant biomass Defei Liu刘德飞 Yutong Ge戈雨桐 Jingen Li李金根 Chaoguang Tian田朝光 RESTRICTED dataset Science Data Bank