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Ocean-M: an integrated global-scale multi-omics database for marine microbial diversity, function and ecological interactions #MMPMID41171124
Lv J; Ma S; Ma C; Liu F; Duan X; Huang X; Geng Q; Liu F; Li G; Li Y; Wang J; Li C; Zheng H; Zhang Y; Sun Z; Wang J; Fan G; Huang S; Zhang L; Bao Z; Wang S
Nucleic Acids Res 2025[Oct]; ? (?): ? PMID41171124show ga
Multi-omics analyses have significantly advanced the understanding of complex marine microbial communities and their interactions. Despite notable progress from recent large-scale ocean meta-analysis efforts, the effective integration and accessibility of these diverse datasets remain challenging. To address this, we introduce Ocean-M (http://om.qnlm.ac), a comprehensive and publicly accessible platform for marine microbial multi-omics data integration, analysis, and visualization. Ocean-M provides a systematic view of 54 083 high-quality metagenome-assembled genomes, including genome assembly statistics, genome clustering, gene annotation, and interactive tools for global-scale taxonomic profiling. The platform also incorporates microbial community networks, host-microbiome interactions, and environmental DNA datasets to support an integrated ecological framework for studying microbial interactions and ecosystem functions. Additionally, Ocean-M enables large-scale mining of ecologically and biotechnologically important genes, with curated catalogs of 151 798 biosynthetic gene clusters, 52 699 antibiotic resistance genes, and millions of carbohydrate-active enzymes and plastic-active enzymes. By combining multi-omics data with environmental metadata, Ocean-M serves as a valuable resource for advancing marine microbial ecology, global biogeography, and functional gene discovery.