Abstract
INTRODUCTION: Direct-seeding rice faces the prominent challenge of low seedling emergence vigor, particularly under deep-sowing mechanical resistance and hypoxic conditions. Although some physiological traits are known, the systemic molecular networks determining superior emergence remain elusive. METHODS: Here, we integrated metabolomic and transcriptomic analyses to compare the elite direct-seeding variety ChongShang2022 (CS2022) with the control Huxiangruan450 (HXR450). RESULTS AND DISCUSSION: Weighted gene co-expression network analysis (WGCNA) identified germination-associated metabolic modules. Hub metabolite analysis revealed that the accelerated germination of CS2022 correlates with a higher accumulation of cytokinins (zeatin and cis-zeatin-9-N-glucoside), known for antagonizing abscisic acid (ABA)-induced dormancy, alongside key amino acids (e.g., L-lysine) and structural sphingolipids. Physiological validation confirmed the functional significance of these hubs, demonstrating that exogenous trans-zeatin and L-lysine significantly promoted seed germination in a dose-dependent manner. Notably, CS2022 exhibited heightened sensitivity, achieving maximal promotion at concentrations approximately 10-fold lower than HXR450. Targeted LC-MS/MS assays further demonstrated that CS2022 maintains a significantly higher GA20/ABA ratio during germination by accumulating the key precursor GA(20) and deactivating free ABA into ABA-glucosyl ester. This hormonal homeostasis couples with elevated α-amylase activity, accelerating energy mobilization. At the seedling stage, multi-omics integration suggests an optimized growth-defense trade-off in CS2022. Auxin signaling supports rapid elongation, while the upregulation of jasmonic acid (JA) precursor transcripts contrasts with restricted accumulation of bioactive signals (e.g., JA-Ile). This potential signal buffering mechanism likely mitigates growth arrest. Additionally, lipid remodeling involving sphingolipids and waxes may contribute to hypoxia tolerance. Altogether, this study delineates a correlative regulatory network where dynamic hormone buffering, redirected metabolic flux, and adaptive lipid remodeling synergistically maximize direct-seeding rice emergence vigor, providing mechanistic insights and candidate modules for breeding.