In Vivo Selection for Formate Dehydrogenases with High Efficiency and Specificity toward NADP

体内筛选对 NADP 具有高效率和特异性的甲酸脱氢酶

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作者:Liliana Calzadiaz-Ramirez, Carla Calvó-Tusell, Gabriele M M Stoffel, Steffen N Lindner, Sílvia Osuna, Tobias J Erb, Marc Garcia-Borràs, Arren Bar-Even, Carlos G Acevedo-Rocha

Abstract

The efficient regeneration of cofactors is vital for the establishment of biocatalytic processes. Formate is an ideal electron donor for cofactor regeneration due to its general availability, low reduction potential, and benign byproduct (CO2). However, formate dehydrogenases (FDHs) are usually specific to NAD+, such that NADPH regeneration with formate is challenging. Previous studies reported naturally occurring FDHs or engineered FDHs that accept NADP+, but these enzymes show low kinetic efficiencies and specificities. Here, we harness the power of natural selection to engineer FDH variants to simultaneously optimize three properties: kinetic efficiency with NADP+, specificity toward NADP+, and affinity toward formate. By simultaneously mutating multiple residues of FDH from Pseudomonas sp. 101, which exhibits practically no activity toward NADP+, we generate a library of >106 variants. We introduce this library into an E. coli strain that cannot produce NADPH. By selecting for growth with formate as the sole NADPH source, we isolate several enzyme variants that support efficient NADPH regeneration. We find that the kinetically superior enzyme variant, harboring five mutations, has 5-fold higher efficiency and 14-fold higher specificity in comparison to the best enzyme previously engineered, while retaining high affinity toward formate. By using molecular dynamics simulations, we reveal the contribution of each mutation to the superior kinetics of this variant. We further determine how nonadditive epistatic effects improve multiple parameters simultaneously. Our work demonstrates the capacity of in vivo selection to identify highly proficient enzyme variants carrying multiple mutations which would be almost impossible to find using conventional screening methods.

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