Ocean-M: an integrated global-scale multi-omics database for marine microbial diversity, function and ecological interactions

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.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-10-31
DOI
https://doi.org/10.1093/nar/gkaf1098
Citations
2
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
3.43
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article

Ocean-M: an integrated global-scale multi-omics database for marine microbial diversity, function and ecological interactions

Jia Lv, Zheng Sun, Xuyuan Duan, Guangyi Fan et al.
2 citations
Nucleic Acids Research
Microbial Community Ecology and Physiology
3.43
article

Ocean-M: an integrated global-scale multi-omics database for marine microbial diversity, function and ecological interactions

Jia Lv, Zheng Sun, Xuyuan Duan, Guangyi Fan, Shuaikang Ma, Hongkun Zheng, Qing Geng, Fengyi Liu, Shi Huang, Chunyang Li, Guo‐Qing Li, Jing Wang, Lingling Zhang, Shi Wang, Zhenmin Bao, Yu‐Zhong Zhang, Xiaowen Huang, Yuli Li, Fuyun Liu, Cen Ma, Jun Wang
article en
2 citations

Abstract

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.

Nucleic Acids ResearchVol. 54(D1)
Qingdao University (CN), Brigham and Women's Hospital (US), Harvard University (US), Qingdao Agricultural University (CN), Chinese University of Hong Kong (HK), Chinese Academy of Sciences (CN), Biomarker Technologies (China) (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Qingdao National Laboratory for Marine Science and Technology (CN), Czech Academy of Sciences, Institute of Microbiology (CZ), Botswana Geoscience Institute (BW), Institute of Microbiology (CN), BGI Research (CN), Ocean University of China (CN), Hainan Tropical Ocean University (CN), University of Hong Kong (HK)
Openalex Percentile: Top 7%
Microbial Community Ecology and Physiology
3.43
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