Genetic Architectures of Quantitative Variation in RNA Editing Pathways

Area of Science:

• Genetics
• Molecular Biology
• Bioinformatics

Background:

• RNA editing modifies RNA sequences post-transcriptionally.
• Mechanisms controlling RNA editing specificity and extent remain largely unknown.
• Hundreds of new RNA editing targets have been recently identified.

Purpose of the Study:

• To investigate quantitative variation in site-specific RNA editing.
• To map genetic loci influencing RNA editing ratios in a diverse mouse population.
• To understand the genetic architecture underlying C-to-U and A-to-I RNA editing.

Main Methods:

• Utilized the Diversity Outbred mouse population for genetic diversity.
• Mapped polymorphic loci affecting C-to-U and A-to-I editing ratios.
• Analyzed the influence of Apobec1 allelic series on C-to-U editing.
• Identified polymorphisms affecting A-to-I editing efficiency.

Main Results:

• An allelic series in Apobec1 impacts editing efficiency for Apob and 58 other C-to-U targets.
• Identified 49 A-to-I editing sites with polymorphisms altering editing efficiency.
• C-to-U editing shows shared genetic control, while A-to-I editing is largely influenced by local polymorphisms and RNA secondary structure.
• RNA editing is a quantitative trait influenced by genetic variation.

Conclusions:

• RNA editing is a quantitative trait modulated by genetic variation.
• Distinct genetic architectures govern C-to-U and A-to-I RNA editing.
• Evolutionary pressures have shaped unique genetic controls for different RNA editing types.