Literature DB >> 24055401

Mitochondrial mutations and ageing: can mitochondrial deletion mutants accumulate via a size based replication advantage?

Axel Kowald1, Marcus Dawson, Thomas B L Kirkwood.   

Abstract

The mitochondrial theory of ageing is one of the main contenders to explain the biochemical basis of the ageing process. An important line of support comes from the observation that mtDNA deletions accumulate over the life course in post-mitotic cells of many species. A single mutant expands clonally and finally replaces the wild-type population of a whole cell. One proposal to explain the driving force behind this accumulation states that the reduced size leads to a shorter replication time, which provides a selection advantage. However, this idea has been questioned on the grounds that the mitochondrial half-life is much longer than the replication time, so that the latter cannot be a rate limiting step. To clarify this question, we modelled this process mathematically and performed extensive deterministic and stochastic computer simulations to study the effects of replication time, mitochondrial half-life and deletion size. Our study shows that the shorter size does in principle provide a selection advantage, which can lead to an accumulation of the deletion mutant. However, this selection advantage diminishes the shorter is the replication time of wt mtDNA in relation to its half-life. Using generally accepted literature values, the resulting time frame for the accumulation of mutant mtDNAs is only compatible with the ageing process in very long lived species like humans, but could not reasonably explain ageing in short lived species like mice and rats.
© 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ageing; Mathematical model; Mitochondrial mutation

Mesh:

Substances:

Year:  2013        PMID: 24055401     DOI: 10.1016/j.jtbi.2013.09.009

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  10 in total

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Authors:  Radek Szklarczyk; Marco Nooteboom; Heinz D Osiewacz
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-07-05       Impact factor: 6.237

Review 2.  Quality matters: how does mitochondrial network dynamics and quality control impact on mtDNA integrity?

Authors:  Karin B Busch; Axel Kowald; Johannes N Spelbrink
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-07-05       Impact factor: 6.237

3.  Transcription could be the key to the selection advantage of mitochondrial deletion mutants in aging.

Authors:  Axel Kowald; Thomas B L Kirkwood
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-03       Impact factor: 11.205

Review 4.  Modelling the molecular mechanisms of aging.

Authors:  Mark T Mc Auley; Alvaro Martinez Guimera; David Hodgson; Neil Mcdonald; Kathleen M Mooney; Amy E Morgan; Carole J Proctor
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5.  Resolving the Enigma of the Clonal Expansion of mtDNA Deletions.

Authors:  Axel Kowald; Thomas B L Kirkwood
Journal:  Genes (Basel)       Date:  2018-02-27       Impact factor: 4.096

Review 6.  Mathematical Modeling of p53 Pathways.

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Review 7.  The road to rack and ruin: selecting deleterious mitochondrial DNA variants.

Authors:  Ian J Holt; Dave Speijer; Thomas B L Kirkwood
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-07-05       Impact factor: 6.237

8.  Influence of ageing on human body blood flow and heat transfer: A detailed computational modelling study.

Authors:  Alberto Coccarelli; Hayder M Hasan; Jason Carson; Dimitris Parthimos; Perumal Nithiarasu
Journal:  Int J Numer Method Biomed Eng       Date:  2018-07-23       Impact factor: 2.747

9.  Clonal expansion of mitochondrial DNA deletions is a private mechanism of aging in long-lived animals.

Authors:  Lakshmi Narayanan Lakshmanan; Zhuangli Yee; Li Fang Ng; Rudiyanto Gunawan; Barry Halliwell; Jan Gruber
Journal:  Aging Cell       Date:  2018-07-24       Impact factor: 9.304

10.  Healthy mitochondria inhibit the metastatic melanoma in lungs.

Authors:  Ailing Fu; Yixue Hou; Zhenyao Yu; Zizhen Zhao; Zesheng Liu
Journal:  Int J Biol Sci       Date:  2019-10-15       Impact factor: 6.580

  10 in total

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