ArticleNature communications2018
Large-scale genetic analysis reveals mammalian mtDNA heteroplasmy dynamics and variance increase through lifetimes and generations.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
What it found
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Who cites it
43 citing papers in PubMed, 68 citations in OpenAlex.
- Optimal Organelle Inheritance Strategies Under Different Changing Environments and Mutational Pressures.Genome biology and evolution · 2026Article
- Ongoing structural changes highlight the dynamic nature of chloroplast genomes.Nucleic acids research · 2026Article
- The nuclear and mitochondrial genomes need to tango. How is their dance synchronized during development?NAR molecular medicine · 2026Article
- Age-dependent accumulation of mitochondrial tRNA mutations in mouse kidneys linked to mitochondrial kidney diseases.Nature aging · 2025Article
- Real-time assessment of mitochondrial DNA heteroplasmy dynamics at the single-cell level.The EMBO journal · 2024Article
- Evolution and maintenance of mtDNA gene content across eukaryotes.The Biochemical journal · 2024Review
- Children born after assisted reproduction more commonly carry a mitochondrial genotype associating with low birthweight.Nature communications · 2024Article
- Stochastic organelle genome segregation through Arabidopsis development and reproduction.The New phytologist · 2024Article
- High-throughput single-cell analysis reveals progressive mitochondrial DNA mosaicism throughout life.Science advances · 2023Article
- The role of mtDNA in oocyte quality and embryo development.Molecular reproduction and development · 2023Review
- Avoiding misleading estimates using mtDNA heteroplasmy statistics to study bottleneck size and selection.G3 (Bethesda, Md.) · 2023Article
- Single-cell individual full-length mtDNA sequencing by iMiGseq uncovers unexpected heteroplasmy shifts in mtDNA editing.Nucleic acids research · 2023Article
- Mitochondria in human reproduction: novel paradigm in the onset of neurodegenerative disorders.Physiological research · 2023Review
- Mitochondrial network structure controls cell-to-cell mtDNA variability generated by cell divisions.PLoS computational biology · 2023Article
- High-frequency and functional mitochondrial DNA mutations at the single-cell level.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Mitochondrial Inheritance Following Nuclear Transfer: From Cloned Animals to Patients with Mitochondrial Disease.Methods in molecular biology (Clifton, N.J.) · 2023Review
- Mitochondrial heteroplasmy as a cause of cell-to-cell phenotypic heterogeneity in clonal populations.Frontiers in cell and developmental biology · 2023Article
- Aging-associated accumulation of mitochondrial DNA mutations in tumor origin.Life medicine · 2022Review
- Review
- Genetic Diversity, Heteroplasmy, and Recombination in Mitochondrial Genomes of Daphnia pulex, Daphnia pulicaria, and Daphnia obtusa.Molecular biology and evolution · 2022Article
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 3 countries.
Funding
Abstract
Vital mitochondrial DNA (mtDNA) populations exist in cells and may consist of heteroplasmic mixtures of mtDNA types. The evolution of these heteroplasmic populations through development, ageing, and generations is central to genetic diseases, but is poorly understood in mammals. Here we dissect these population dynamics using a dataset of unprecedented size and temporal span, comprising 1947 single-cell oocyte and 899 somatic measurements of heteroplasmy change throughout lifetimes and generations in two genetically distinct mouse models. We provide a novel and detailed quantitative characterisation of the linear increase in heteroplasmy variance throughout mammalian life courses in oocytes and pups. We find that differences in mean heteroplasmy are induced between generations, and the heteroplasmy of germline and somatic precursors diverge early in development, with a haplotype-specific direction of segregation. We develop stochastic theory predicting the implications of these dynamics for ageing and disease manifestation and discuss its application to human mtDNA dynamics.
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