Advanced age increases frequencies of de novo mitochondrial mutations in macaque oocytes and somatic tissues

Abstract
Mutations in mitochondrial DNA (mtDNA) contribute to multiple diseases. However, how new mtDNA mutations arise and accumulate with age remains understudied because of the high error rates of current sequencing technologies. Duplex sequencing reduces error rates by several orders of magnitude via independently tagging and analyzing each of the two template DNA strands. Here, using duplex sequencing, we obtained high-quality mtDNA sequences for somatic tissues (liver and skeletal muscle) and single oocytes of 30 unrelated rhesus macaques, from one to 23 years of age. Sequencing single oocytes minimized effects of natural selection on germline mutations. In total, we identified 17,637 tissue-specific de novo mutations. Their frequency increased ~3.5-fold in liver and ~2.8-fold in muscle over the ~20 years assessed. Mutation frequency in oocytes increased ~2.5-fold until the age of 9 years, but did not increase after that, suggesting that oocytes of older animals maintain the quality of their mtDNA. We found the light-strand origin of replication (OriL) to be a hotspot for mutation accumulation with aging in liver. Indeed, the 33-nucleotide-long OriL harbored 12 variant hotspots, 10 of which likely disrupt its hairpin structure and affect replication efficiency. Moreover, in somatic tissues, protein-coding variants were subject to positive selection (potentially mitigating toxic effects of mitochondrial activity), the strength of which increased with the number of macaques harboring variants. Our work illuminates the origins and accumulation of somatic and germline mtDNA mutations with aging in primates, and has implications for delayed reproduction in modern human societies.
Type
Publication
Proceedings of the National Academy of Sciences
publication
Barbara Arbeithuber
Authors
Postdoctoral scholar
In Prof. Makova’s lab Barbara was interested in the accurate measurement of rare mutations. Her project was focused on the inheritance of mitochondrial DNA; particularly, analysis of de novo mutations in the germ line, as well as the inheritance of low-level variants.
Marzia Cremona
Authors
Visiting Research Professor
Marzia develops statistical techniques for the analysis of large, high-dimensional and complex data – in particular functional data. An important aspect of her research is its collaborative and multidisciplinary nature. Indeed, much of her work is at the interface between statistics and computational biology, and her main application area is in the “Omics” sciences.
Alison Barrett
Authors
Undergraduate student
Kate Anthony
Authors
Research Technician
Francesca Chiaromonte
Authors
Francesca is a statistician developing methods for the analysis of large, high-dimensional and complex data, and applying such methods in contemporary “Omics” sciences and other scientific fields – including Meteorology and Economics.
Francisco J. Diaz
Authors
Francisco’s research focuses on understanding the molecular and functional interactions between oocytes and granulosa cells that promote production of a fertile oocyte. This knowledge can then be used to (1) develop better therapeutic interventions for infertility or species preservation and (2) develop better reproductive management tools for animal agriculture.
Kateryna Makova, Ph.D.
Authors
Professor
Kateryna is interested in genomics, evolution, and human genetics. Her lab studies mutations using both computational and experimental approaches. Additional topics of interest include sex chromosome evolution and genomics of childhood obesity.