Abstract
L-(+)-tartaric acid (L-TA) is a high-value chiral organic acid essential for food and pharmaceuticals. Despite its industrial importance, sustainable green production is constrained by the lack of a fully defined biosynthetic pathway. Here, we report the de novo biosynthesis of L-TA in Saccharomyces cerevisiae through reaction-guided enzyme mining, experimental validation, and Enzyme Commission-specific Catalytic Hybrid Optimizer (ECHO)-assisted enzyme prioritization. We first elucidate the elusive two-step conversion from precursor 5-keto-D-gluconic acid (5-KGA) to L-TA, catalyzed by transketolase (TK) and succinate semialdehyde dehydrogenase (SSDH). To optimize this critical step, we develop the ECHO. This multimodal framework integrates sequence, substrate, and pocket-aware structural information to identify high-performance TK-SSDH pairs. By integrating this pathway with de novo precursor synthesis, cofactor engineering, and semi-rational protein engineering, a final L-TA titer of 6.59 mg L-1 was achieved in a 5-L bioreactor. By connecting computational mining and metabolic assembly through a multi-module engineering strategy, our study establishes a green platform for L-TA production and demonstrates an effective workflow for synthetic pathway design.