Key result
Ribosome Decision Graphs (RDGs) provide a conceptually novel abstraction to represent eukaryotic translation complexity as multiple ribosome paths through untranslated and translated mRNA segments.
Why the study?
Current representations of mRNA translation fail to account for the multitude of translated regions within single molecules and the stochasticity of translation, creating a need for formal representations of mRNA complexity.
Ribosome Decision Graphs provide a novel formal framework to accurately represent the complexity of eukaryotic mRNA translation, overcoming the limitations of traditional ORF-based annotations.
Ribosome profiling reveals pervasive short ORF translation; leaves open their functional roles in cardiac gene regulation.
The application of ribosome profiling has revealed an unexpected abundance of translation in addition to that responsible for the synthesis of previously annotated protein-coding regions. Multiple short sequences have been found to be translated within single RNA molecules, both within annotated protein-coding and non-coding regions. The biological significance of this translation is a matter of intensive investigation. However, current schematic or annotation-based representations of mRNA translation generally do not account for the apparent multitude of translated regions within the same molecules. They also do not take into account the stochasticity of the process that allows alternative translations of the same RNA molecules by different ribosomes. There is a need for formal representations of mRNA complexity that would enable the analysis of quantitative information on translation and more accurate models for predicting the phenotypic effects of genetic variants affecting translation. To address this, we developed a conceptually novel abstraction that we term Ribosome Decision Graphs (RDGs). RDGs represent translation as multiple ribosome paths through untranslated and translated mRNA segments. We termed the later 'translons'. Non-deterministic events, such as initiation, re-initiation, selenocysteine insertion or ribosomal frameshifting are then represented as branching points. This representation allows for an adequate representation of eukaryotic translation complexity and focuses on locations critical for translation regulation. We show how RDGs can be used for depicting translated regions, analysis of genetic variation and quantitative genome-wide data on translation for characterisation of regulatory modulators of translation.
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Tierney et al. (2023) studied this question. Ribosome Decision Graphs (RDGs) vs. current schematic or annotation-based representations was evaluated on Representation of eukaryotic translation complexity. Ribosome Decision Graphs (RDGs) provide a conceptually novel abstraction to represent eukaryotic translation complexity as multiple ribosome paths through untranslated and translated mRNA segments.
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