Mitochondrial and nuclear DNA matching shapes metabolism and healthy ageing
- PMID: 27383793
- DOI: 10.1038/nature18618
Mitochondrial and nuclear DNA matching shapes metabolism and healthy ageing
Abstract
Human mitochondrial DNA (mtDNA) shows extensive within population sequence variability. Many studies suggest that mtDNA variants may be associated with ageing or diseases, although mechanistic evidence at the molecular level is lacking. Mitochondrial replacement has the potential to prevent transmission of disease-causing oocyte mtDNA. However, extension of this technology requires a comprehensive understanding of the physiological relevance of mtDNA sequence variability and its match with the nuclear-encoded mitochondrial genes. Studies in conplastic animals allow comparison of individuals with the same nuclear genome but different mtDNA variants, and have provided both supporting and refuting evidence that mtDNA variation influences organismal physiology. However, most of these studies did not confirm the conplastic status, focused on younger animals, and did not investigate the full range of physiological and phenotypic variability likely to be influenced by mitochondria. Here we systematically characterized conplastic mice throughout their lifespan using transcriptomic, proteomic,metabolomic, biochemical, physiological and phenotyping studies. We show that mtDNA haplotype profoundly influences mitochondrial proteostasis and reactive oxygen species generation,insulin signalling, obesity, and ageing parameters including telomere shortening and mitochondrial dysfunction, resulting in profound differences in health longevity between conplastic strains.
Comment in
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Genetics: Mitochondrial DNA in evolution and disease.Nature. 2016 Jul 28;535(7613):498-500. doi: 10.1038/nature18902. Epub 2016 Jul 6. Nature. 2016. PMID: 27383787 Free PMC article. No abstract available.
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Genetic variation: Nuclear and mitochondrial genome interplay.Nat Rev Genet. 2016 Sep;17(9):502. doi: 10.1038/nrg.2016.96. Epub 2016 Jul 18. Nat Rev Genet. 2016. PMID: 27424559 No abstract available.
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