Chen, H.-x. | bioRxiv Science

bioRxiv2025

Metabolite Profiling of Epimedium sagittatum Bee Pollen: Identified Bioactive Flavonoids with Multi-Disease Functional Food Potential

Epimedium sagittatum bee pollen (EBP) is a bee pollen product of a medicinal plant, but its chemical characteristics remain unclear. In this study, EBP was systematically characterized by biochemical analysis and UPLC-MS/MS, using Brassica rapa bee pollen (BBP), Camellia sinensis bee pollen (CBP), and Epimedium leaves for compari-son. A total of 1,073 secondary metabolites were identified in EBP, mainly flavonoids (330, 30.8%) and phenolic acids (165, 15.3%). EBP showed the highest total flavonoid content among the three bee pollen types (4.75 mg/g) and was clearly separated from BBP and CBP in multivariate analysis. EBP contained 19 unique metabolites, fewer than CBP (271), but these included several high-content flavonoid compounds, such as cacticin, brassicin, and tricetin-4'-methyl ether-3'-{beta}-D-glucoside. Differential metabolite analysis identified 449 and 1,085 metabolites that differed between EBP and BBP, re-spectively, with flavonoid compounds forming the main differential class. Among the shared differential metabolites, 45 flavonoids were consistently higher in EBP, in-cluding kaempferol, tamarixetin, and sinensetin. Network pharmacology screening further suggested that flavonoid metabolites, especially kaempferol, tamarixetin, and sinensetin, deserve particular attention in future studies of EBP. Compared with Epimedium leaves, characteristic leaf flavonoids such as icariin and epimedins A-C were present at very low levels or were not detected in EBP. Overall, EBP is charac-terized by a distinct, relatively concentrated flavonoid chemical profile, distinct from both common commercial bee pollens and Epimedium medicinal tissues. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=160 SRC="FIGDIR/small/679240v2_ufig1.gif" ALT="Figure 1"> View larger version (56K): org.highwire.dtl.DTLVardef@1587d35org.highwire.dtl.DTLVardef@8461d6org.highwire.dtl.DTLVardef@1336149org.highwire.dtl.DTLVardef@381ae8_HPS_FORMAT_FIGEXP M_FIG C_FIG

plant biology↗

bioRxiv2023

Single-Molecule Direct RNA Sequencing Reveals the Shaping of Epitranscriptome Across Multiple Species

N6-methyladenosine (m6A) is an essential RNA modification that regulates gene expression and influences diverse cellular processes. Yet, fully characterizing its transcriptome-wide landscape and biogenesis mechanisms remains challenging. Traditional next-generation sequencing (NGS) methods rely on short-reads aggregation, overlooking the inherent heterogeneity of RNA transcripts. Third-generation sequencing (TGS) platforms offer direct RNA sequencing (DRS) at the resolution of individual RNA molecules, enabling simultaneous detection of RNA modifications and RNA processing events. In this study, we introduce SingleMod, a deep learning model tailored for precise m6A modification mapping on individual RNA molecules from DRS data. Applying SingleMod to human cell lines, we systematically dissect the transcriptome-wide m6A landscape at single-molecule and single-base resolution, characterizing m6A heterogeneity in RNA molecules from the same transcript and revealing that multiple m6A sites on an RNA molecule can cumulatively influence its splicing and stability. Through comparative analyses across eight diverse species, we quantitatively elucidate three distinct m6A distribution patterns that suggest divergent regulatory mechanisms. This study provides a novel framework for understanding the shaping of epitranscriptome in a single-molecule perspective.

biochemistry↗