<scp>EucaMOD</scp> : a comprehensive multi‐omics database for functional genomics research and molecular breeding of fast‐growing eucalyptus trees
Eucalyptus, one of the most widely planted plantation tree species globally, is primarily found in tropical and subtropical regions and contributes significantly to economic and social benefits. With advances in sequencing technologies, there is an increasing demand for the systematic analysis of multi-omics data among Eucalyptus species to enhance genetic breeding efforts. Although several early genomic databases have been established for eucalyptus, they have not been updated in a timely manner and lack recent multi-omics data, rendering them insufficient for current research needs. To address this gap, we developed the eucalyptus multi-omics database (EucaMOD, http://eucalyptusggd.net/eucamod), a comprehensive resource for cross-omics studies. In this study, we functionally annotated 45 eucalyptus genomes and structurally annotated 15, conducting comparative genomics and pan-proteomics analyses across all genomes. Additionally, we analyzed eucalyptus transcriptome, epigenome, and variome data through standardized workflows, enabling the in-depth mining and reanalysis of multi-omics datasets. EucaMOD is the most comprehensive multi-omics database for eucalyptus to date and includes data from 45 genomes (39 species), 870 mRNA-seq samples, 17 miRNA-seq samples, 52 epigenomic datasets (histone modifications and transcription factor binding), and genetic variation data from 1219 samples. To support functional genomics and molecular breeding research, the database is organized into the following 11 modules: Home, Species, Genomics, Comparative genomics, Pan-proteomics, Transcriptomics, Epigenetics, Variomics, Tools, Download, and Help. EucaMOD also offers online analysis tools for data mining, providing free public services to aid eucalyptus gene function and genetic engineering studies.
Authors
- Yunpeng Cao (ORCID: https://orcid.org/0000-0001-5976-2382)
- Kuipeng Li
- Wenfei Wu
- Xianchen Geng (ORCID: https://orcid.org/0000-0003-0942-9236)
- Hao Hu (ORCID: https://orcid.org/0000-0002-0799-8518)
- Zeng‐Fu Xu (ORCID: https://orcid.org/0000-0001-6045-5865)
- Yuchong Fei
- Jiajing Xu
- Jun Ni (ORCID: https://orcid.org/0000-0001-8264-1466)
- Jianzhong Wang (ORCID: https://orcid.org/0000-0003-4031-1316)
- Meng Li (ORCID: https://orcid.org/0000-0001-8675-0758)
- Yi Mo
- Guijin Su (ORCID: https://orcid.org/0000-0002-6719-8264)
Institutions
- Guangxi University (CN)
- Forestry Research Institute (UZ)
- Experimental Center of Forestry in North China (CN)
- State Key Laboratory For Conservation and Utilization of Subtropical Agro-Bioresources (CN)
Publication Details
- Journal
- The Plant Journal
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1111/tpj.70603
- Primary Topic
- Plant Gene Expression Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guangxi Key Research and Development Program