Evidence map›Paper›PMID 26035426›Full record

ArticleeLife2015

Stochastic modelling, Bayesian inference, and new in vivo measurements elucidate the debated mtDNA bottleneck mechanism.

Iain G Johnston, Joerg P Burgstaller, Vitezslav Havlicek, Thomas Kolbe, Thomas Rülicke, Gottfried Brem, Jo Poulton, Nick S Jones

Abstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. A modeller's guide for biomedical discovery.Disease models & mechanisms · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Mitochondrial curation for the next generation.Current opinion in genetics & development · 2025
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. The role of mtDNA in oocyte quality and embryo development.Molecular reproduction and development · 2023
    Review
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Iain G JohnstonDepartment of Mathematics, Imperial College London, London, United Kingdom.
Joerg P BurgstallerBiotechnology in Animal Production, Department for Agrobiotechnology, IFA Tulln, IFA Tulln, Tulln, Austria.
Vitezslav HavlicekReproduction Centre Wieselburg, Department for Biomedical Sciences, University of Veterinary Medicine, Vienna, Austria.
Thomas KolbeBiomodels Austria, University of Veterinary Medicine Vienna, Vienna, Austria.
Thomas RülickeInstitute of Laboratory Animal Science, University of Veterinary Medicine Vienna, Vienna, Austria.
Gottfried BremInstitute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, Austria.
Jo PoultonNuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford, United Kingdom.
Nick S JonesDepartment of Mathematics, Imperial College London, London, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/D020190/1Medical Research Council MR/J010448/1Medical Research Council MR/J013617/1Wellcome Trust 0948685/Z/10/Z
6 · The paper itself

Abstract

Dangerous damage to mitochondrial DNA (mtDNA) can be ameliorated during mammalian development through a highly debated mechanism called the mtDNA bottleneck. Uncertainty surrounding 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 mtDNA turnover, meaning that the debated exact magnitude of mtDNA copy number depletion is flexible. New experimental measurements from a wild-derived mtDNA pairing in mice confirm the theoretical predictions of this model. We analytically solve a mathematical description of this mechanism, computing probabilities of mtDNA disease onset, efficacy of clinical sampling strategies, and effects of potential dynamic interventions, thus developing a quantitative and experimentally-supported stochastic theory of the bottleneck.

Indexed as

Models, BiologicalModels, StatisticalWillsAnimalsBiostatisticsDNA, MitochondrialMiceDNA, Mitochondrialbottleneckchromosomescomputational biologydevelopmental biologygenesmousemtDNAstatisticsstochastic modellingsystems biology

Identifiers

PMID26035426
PMCPMC4486817

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.