Integrative genomic analysis uncovers functional upstream open reading frames and encoded peptides across 30 plant species, highlighting key targets for translational regulation research.
Key Points
To establish a comprehensive, multi-evidence database integrating experimental, evolutionary, and computational data on plant upstream open reading frames and their encoded functional peptides.
Compiled 16.2 million uORF records across 30 plant species, integrating Ribo-seq translation evidence from six species.
Performed cross-species conservation analysis across 10 plant species and implemented a Random Forest machine learning model to evaluate translation probability across 5 million uORFs.
Validated 5.3K Arabidopsis uORFs with Ribo-seq data and identified 85K genes containing cross-species conserved uORFs.
Achieved 78.9% prediction accuracy using the Random Forest classifier across 5 million candidate uORFs.
Discovered 6.6K conserved, unannotated uORF-encoded peptides prioritized for experimental characterization.