摘要To understand and engineer plant metabolism, we need a comprehensive and accurate annotation of all metabolic information across plant species. As a step towards this goal, we generated genome-scale metabolic pathway databases of 126 algal and plant genomes, ranging from model organisms to crops to medicinal plants (https://plantcyc.org). Of these, 104 have not been reported before. We systematically evaluated the quality of the da-tabases, which revealed that our semi-automated validation pipeline dramatically improves the quality. We then compared the metabolic content across the 126 organisms using multiple corre-spondence analysis and found that Brassicaceae, Poaceae, and Chlorophyta appeared as metabol-ically distinct groups. To demonstrate the utility of this resource, we used recently published sorghum transcriptomics data to discover previously un-reported trends of metabolism underlying drought tolerance. We also used single-cell transcriptomics data from the Arabidopsis root to infer cell type-specific metabolic pathways. This work shows the quality and quantity of our resource and demon-strates its wide-ranging utility in integrating metab-olism with other areas of plant biology.