Engineering reduced nicotinamide cofactor metabolism for enhanced cell growth and succinic acid production in a succinate dehydrogenase deficient Yarrowia lipolytica strain

Authors

Korka, V., Koutinas, A., Fickers, P.

Abstract

Background: Succinic acid (SA) is a four-carbon dicarboxylic acid of considerable industrial relevance, with applications spanning the food, chemical, and pharmaceutical sectors. The remarkable acid tolerance of the yeast Yarrowia lipolytica makes it a promising microbial cell factory for SA production. Numerous metabolic engineering strategies have focused on disrupting genes encoding the succinate dehydrogenase (SDH) complex to enhance SA accumulation. However, such a modification is associated with impaired growth and the accumulation of by-products, notably acetic acid (AA). Results: To improve growth capacity, SA productivity, and reduce AA formation in Y. lipolytica SDH5-deficient strains (Sdh5{Delta}), carbon flux from glycolysis was partially redirected toward the pentose phosphate pathway by overexpression of the native genes encoding glucose-6-phosphate dehydrogenase (ZWF1) and 6-phosphogluconate dehydrogenase (GND1), thereby enhancing NADPH generation. The resulting strain was further engineered to increase NADH availability for the mitochondrial electron transport chain by overexpressing genes encoding either a mutated NADPH-dependent malate dehydrogenase (TfMdh) from Thermus flavus or the soluble transhydrogenase (EcSthA) from Escherichia coli, enabling indirect conversion of NADPH to NADH. This strategy resulted in 2-fold and 2.2-fold increase in SA productivity and titre, respectively, compared to the Sdh5{Delta}-ALE strain during bioreactor cultivation on glucose-based media. Moreover, AA accumulation was reduced 1.2-fold, while growth rates were significantly improved. Conclusions: The proposed engineering strategies, especially heterologous expression of EcSthA, partly alleviated energy limitations in Y. lipolytica Sdh5{Delta} strain, resulting in improved SA productivity and growth performance.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 02 May 2026.

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