Stochastic modelling, Bayesian inference, and new in vivomeasurements elucidate the debated mtDNA bottleneck mechanism

  1. Iain G Johnston
  2. Joerg P Burgstaller
  3. Vitezslav Havlicek
  4. Thomas Kolbe
  5. Thomas Rülicke
  6. Gottfried Brem
  7. Jo Poulton
  8. Nick S Jones  Is a corresponding author
  1. Imperial College London, United Kingdom
  2. IFA Tulln, Austria
  3. University of Veterinary Medicine, Austria
  4. University of Veterinary Medicine Vienna, Austria
  5. University of Oxford, United Kingdom

Abstract

Dangerous damage to mitochondrial DNA (mtDNA) can be ameliorated during mammalian development through a highly debated mechanism called the mtDNA bottleneck. Uncertaintysurrounding this process limits our ability to address inherited mtDNA diseases. We produce a new, physically motivated, generalisable theoretical model for mtDNA populations during development, allowing the first statistical comparison of proposed bottleneck mechanisms. Using approximate Bayesian computation and mouse data, we find most statistical support for a combination of binomial partitioning of mtDNAs at cell divisions and random mtDNAturnover, meaning that the debated exact magnitude of mtDNAcopy number depletion is flexible. New experimental measurements from a wild-derived mtDNA pairing in mice confirm the theoretical predictions of this model. Weanalytically solve a mathematical description of thismechanism, computing probabilities of mtDNA disease onset,efficacy of clinical sampling strategies, and effects of potential dynamic interventions, thus developing aquantitative and experimentally-supported stochastic theoryof the bottleneck.

Article and author information

Author details

  1. Iain G Johnston

    Department of Mathematics, Imperial College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  2. Joerg P Burgstaller

    Biotechnology in Animal Production, Department for Agrobiotechnology, IFA Tulln, IFA Tulln, Tulln, Austria
    Competing interests
    The authors declare that no competing interests exist.
  3. Vitezslav Havlicek

    Reproduction Centre Wieselburg, Department for Biomedical Sciences, University of Veterinary Medicine, Vienna, Austria
    Competing interests
    The authors declare that no competing interests exist.
  4. Thomas Kolbe

    Biomodels Austria, University of Veterinary Medicine Vienna, Vienna, Austria
    Competing interests
    The authors declare that no competing interests exist.
  5. Thomas Rülicke

    Institute of Laboratory Animal Science, University of Veterinary Medicine Vienna, Vienna, Austria
    Competing interests
    The authors declare that no competing interests exist.
  6. Gottfried Brem

    Biotechnology in Animal Production, Department for Agrobiotechnology, IFA Tulln, Tulln, Austria
    Competing interests
    The authors declare that no competing interests exist.
  7. Jo Poulton

    Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  8. Nick S Jones

    Department of Mathematics, Imperial College London, London, United Kingdom
    For correspondence
    nick.jones@imperial.ac.uk
    Competing interests
    The authors declare that no competing interests exist.

Reviewing Editor

  1. Jodi Nunnari, University of California, Davis, United States

Ethics

Animal experimentation: The study was discussed and approved by the institutional ethics committee in accordance with Good Scientific Practice (GSP) guidelines and national legislation. FELASA recommendations for the health monitoring of SPF mice were followed. Approved by the institutional ethics committee and the national authority according to Section 26 of the Law for Animal Experiments, Tierversuchsgesetz 2012 - TVG 2012.

Version history

  1. Received: March 13, 2015
  2. Accepted: May 29, 2015
  3. Accepted Manuscript published: June 2, 2015 (version 1)
  4. Accepted Manuscript updated: June 4, 2015 (version 2)
  5. Version of Record published: July 1, 2015 (version 3)

Copyright

© 2015, Johnston et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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  1. Iain G Johnston
  2. Joerg P Burgstaller
  3. Vitezslav Havlicek
  4. Thomas Kolbe
  5. Thomas Rülicke
  6. Gottfried Brem
  7. Jo Poulton
  8. Nick S Jones
(2015)
Stochastic modelling, Bayesian inference, and new in vivomeasurements elucidate the debated mtDNA bottleneck mechanism
eLife 4:e07464.
https://doi.org/10.7554/eLife.07464

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https://doi.org/10.7554/eLife.07464

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