Orchidstra 2.0-A Transcriptomics Resource for the Orchid Family

Area of Science:

• Genomics
• Bioinformatics
• Plant Science

Background:

• The Orchidaceae family, with over 25,000 species, attracts significant interest due to its unique biological and ecological traits.
• Existing resources for orchid genomic data were limited in scope and comprehensiveness.

Purpose of the Study:

• To develop an updated and expanded database, Orchidstra 2.0, for orchid transcriptome assembly and gene annotation.
• To provide enhanced functional annotations and new functionalities for researchers studying orchids.

Main Methods:

• Construction of Orchidstra 2.0 using a new database system to store extensive transcriptome data.
• Inclusion of protein-coding gene annotations, noncoding transcripts, and RNA-Seq gene expression data.
• Improvement of user interface and database searching/retrieval functionalities.

Main Results:

• Orchidstra 2.0 houses annotations for 510,947 protein-coding genes and 161,826 noncoding transcripts across 18 orchid species.
• Enhanced functional annotations include pathway analysis, Gene Ontology terms, orthologs, and miRNA information.
• Incorporation of detailed RNA-Seq gene expression data from various tissues and developmental stages.

Conclusions:

• Orchidstra 2.0 serves as a valuable, freely accessible resource for orchid research.
• The database facilitates gene prediction, gene family studies, and exploration of gene expression patterns in orchids.
• This enhanced resource supports further investigation into the genomics and biology of the diverse Orchidaceae family.