Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Mutations in the mitochondrial genome are associated with multiple diseases and biological processes; however, little is known about the extent of sequence variation in the mitochondrial transcriptome. By ultra-deeply sequencing mitochondrial RNA (>6000×) from the whole blood of ~1000 individuals from the CARTaGENE project, we identified remarkable levels of sequence variation within and across individuals, as well as sites that show consistent patterns of posttranscriptional modification. Using a genome-wide association study, we find that posttranscriptional modification of functionally important sites in mitochondrial transfer RNAs (tRNAs) is under strong genetic control, largely driven by a missense mutation in MRPP3 that explains ~22% of the variance. These results reveal a major nuclear genetic determinant of posttranscriptional modification in mitochondria and suggest that tRNA posttranscriptional modification may affect cellular energy production.

Original publication

DOI

10.1126/science.1251110

Type

Journal article

Journal

Science (New York, N.Y.)

Publication Date

04/2014

Volume

344

Pages

413 - 415

Addresses

CHU Sainte-Justine Research Centre, Department of Pediatrics, Faculty of Medicine, Université de Montreal, 3175 Chemin de la Côte-Sainte-Catherine, Montreal, Quebec H3T 1C5, Canada.

Keywords

Humans, Ribonuclease P, DNA, Mitochondrial, RNA, RNA, Transfer, Sequence Analysis, DNA, Sequence Analysis, RNA, RNA Processing, Post-Transcriptional, Base Sequence, Methylation, Mutation, Missense, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, Female, Male, Genome, Mitochondrial, Genetic Variation, Genome-Wide Association Study, High-Throughput Nucleotide Sequencing, Transcriptome, RNA, Mitochondrial