WP-MOD: A multi-omics and taxonomy database for woody plants.

Area of Science:

• Plant Biology
• Bioinformatics
• Ecology

Background:

• Woody plants are crucial for ecosystem health, biodiversity, and climate regulation.
• The rapid increase in omics data and taxonomic information necessitates an integrated resource for woody plant research.
• Existing resources do not adequately consolidate the diverse multi-omics data available for woody plants.

Purpose of the Study:

• To introduce the Woody Plant Multi-Omics Database (WP-MOD), a comprehensive platform for woody plant research.
• To provide a centralized repository for taxonomic information and multi-omics data of woody plants.
• To facilitate genetic and molecular research, contributing to conservation and sustainable management.

Main Methods:

• Integration of taxonomic data for 373 woody plant species across 35 orders.
• Inclusion of high-quality reference genomes and reanalyzed omics data (RNA-seq, sRNA-seq, ChIP-seq, ATAC-seq, bisulfite-seq).
• Development of 17 integrated tools for sequence and omics data analysis.

Main Results:

• The WP-MOD database is established, offering a user-friendly interface for accessing diverse woody plant data.
• Comprehensive multi-omics datasets are curated and made accessible for 373 species.
• A suite of 17 analytical tools is provided for in-depth data exploration.

Conclusions:

• The WP-MOD serves as an essential, centralized resource for the woody plant research community.
• It supports advanced genetic and molecular studies, advancing our understanding of woody plant biology.
• The database will aid in the conservation and sustainable management of these vital plant resources.