Large-scale genetic analysis reveals mammalian mtDNA heteroplasmy dynamics and variance increase through lifetimes and generations

Joerg P. Burgstaller; Thomas Kolbe; Vitezslav Havlicek; Stephanie Hembach; Joanna Poulton; Jaroslav Piálek; Ralf Steinborn; Thomas Rülicke; Gottfried Brem; Nick S. Jones; Iain G. Johnston

doi:10.1038/s41467-018-04797-2

Nature Communications (Jun 2018)

Large-scale genetic analysis reveals mammalian mtDNA heteroplasmy dynamics and variance increase through lifetimes and generations

Joerg P. Burgstaller,
Thomas Kolbe,
Vitezslav Havlicek,
Stephanie Hembach,
Joanna Poulton,
Jaroslav Piálek,
Ralf Steinborn,
Thomas Rülicke,
Gottfried Brem,
Nick S. Jones,
Iain G. Johnston

Affiliations

Joerg P. Burgstaller: Department for Agrobiotechnology, Biotechnology in Animal Production
Thomas Kolbe: Biomodels Austria, University of Veterinary Medicine Vienna
Vitezslav Havlicek: Department for Biomedical Sciences, Reproduction Centre Wieselburg, University of Veterinary Medicine
Stephanie Hembach: Department for Agrobiotechnology, Biotechnology in Animal Production
Joanna Poulton: Nuffield Department of Women’s and Reproductive Health, University of Oxford
Jaroslav Piálek: Research Facility Studenec, Institute of Vertebrate Biology of the Czech Academy of Sciences
Ralf Steinborn: Genomics Core Facility, VetCore, University of Veterinary Medicine Vienna
Thomas Rülicke: Institute of Laboratory Animal Science, University of Veterinary Medicine Vienna
Gottfried Brem: Department for Agrobiotechnology, Biotechnology in Animal Production
Nick S. Jones: Department of Mathematics, Imperial College London
Iain G. Johnston: School of Biosciences, University of Birmingham

DOI: https://doi.org/10.1038/s41467-018-04797-2
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 12

Abstract

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Mitochondrial populations in cells may consist of heteroplasmic mixtures of mtDNA types, and their evolution through development, aging and generations is central to genetic diseases. Here the authors dissect these population dynamics using a large mouse-based data set to characterise the dynamics of heteroplasmy mean and variance throughout life and across generations.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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