FEDRO

FEDRO identifies candidate open reading frames (ORFs) created by Cytidine-to-Uridine (C→U) RNA editing in plant mitochondrial genomes to predict putative proteins introduced by editing events.

Key Features:

• Generation of edited ORFs: FEDRO simulates C→U substitutions in plant mtDNA to generate candidate ORFs that can create novel start codons or alter coding sequences.
• Validation via sequence and transcript evidence: FEDRO screens candidate ORFs for sequence similarity and for presence in active transcripts from the same or related organisms to assess biological plausibility.
• Addresses organellar gene-prediction limitations: FEDRO accounts for RNA editing-induced changes that are often missed by conventional gene prediction tools in plant organelles.
• Java implementation: FEDRO is implemented in Java.
• Adaptability across genomes: The methodology can be applied to other organisms and genomic contexts beyond plant mitochondria.

Scientific Applications:

• RNA editing analysis: Identification of ORFs resulting from C→U editing to investigate RNA editing mechanisms in plant organelles.
• Mitochondrial proteome discovery: Prediction of previously unannotated proteins in plant mitochondria that arise from RNA editing events.
• Gene annotation refinement: Complementing existing gene prediction pipelines by revealing ORFs overlooked due to RNA editing.
• Comparative and cross-species analyses: Application of the approach to related organisms to validate candidate ORFs and explore conservation.

Methodology:

FEDRO analyzes input plant mtDNA to identify potential C→U editing sites, simulates those editing events to predict resultant ORFs, and subjects candidate ORFs to validation checks against known sequences and active transcripts.