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Mitochondrial network structure controls cell-to-cell mtDNA variability generated by cell divisions
Mitochondria are highly dynamic organelles, containing vital populations of mitochondrial DNA (mtDNA) distributed throughout the cell. Mitochondria form diverse physical structures in different cells, from cell-wide reticulated networks to fragmented individual organelles. These physical structures...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072490/ https://www.ncbi.nlm.nih.gov/pubmed/36952562 http://dx.doi.org/10.1371/journal.pcbi.1010953 |
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author | Glastad, Robert C. Johnston, Iain G. |
author_facet | Glastad, Robert C. Johnston, Iain G. |
author_sort | Glastad, Robert C. |
collection | PubMed |
description | Mitochondria are highly dynamic organelles, containing vital populations of mitochondrial DNA (mtDNA) distributed throughout the cell. Mitochondria form diverse physical structures in different cells, from cell-wide reticulated networks to fragmented individual organelles. These physical structures are known to influence the genetic makeup of mtDNA populations between cell divisions, but their influence on the inheritance of mtDNA at divisions remains less understood. Here, we use statistical and computational models of mtDNA content inside and outside the reticulated network to quantify how mitochondrial network structure can control the variances of inherited mtDNA copy number and mutant load. We assess the use of moment-based approximations to describe heteroplasmy variance and identify several cases where such an approach has shortcomings. We show that biased inclusion of one mtDNA type in the network can substantially increase heteroplasmy variance (acting as a genetic bottleneck), and controlled distribution of network mass and mtDNA through the cell can conversely reduce heteroplasmy variance below a binomial inheritance picture. Network structure also allows the generation of heteroplasmy variance while controlling copy number inheritance to sub-binomial levels, reconciling several observations from the experimental literature. Overall, different network structures and mtDNA arrangements within them can control the variances of key variables to suit a palette of different inheritance priorities. |
format | Online Article Text |
id | pubmed-10072490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100724902023-04-05 Mitochondrial network structure controls cell-to-cell mtDNA variability generated by cell divisions Glastad, Robert C. Johnston, Iain G. PLoS Comput Biol Research Article Mitochondria are highly dynamic organelles, containing vital populations of mitochondrial DNA (mtDNA) distributed throughout the cell. Mitochondria form diverse physical structures in different cells, from cell-wide reticulated networks to fragmented individual organelles. These physical structures are known to influence the genetic makeup of mtDNA populations between cell divisions, but their influence on the inheritance of mtDNA at divisions remains less understood. Here, we use statistical and computational models of mtDNA content inside and outside the reticulated network to quantify how mitochondrial network structure can control the variances of inherited mtDNA copy number and mutant load. We assess the use of moment-based approximations to describe heteroplasmy variance and identify several cases where such an approach has shortcomings. We show that biased inclusion of one mtDNA type in the network can substantially increase heteroplasmy variance (acting as a genetic bottleneck), and controlled distribution of network mass and mtDNA through the cell can conversely reduce heteroplasmy variance below a binomial inheritance picture. Network structure also allows the generation of heteroplasmy variance while controlling copy number inheritance to sub-binomial levels, reconciling several observations from the experimental literature. Overall, different network structures and mtDNA arrangements within them can control the variances of key variables to suit a palette of different inheritance priorities. Public Library of Science 2023-03-23 /pmc/articles/PMC10072490/ /pubmed/36952562 http://dx.doi.org/10.1371/journal.pcbi.1010953 Text en © 2023 Glastad, Johnston https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Glastad, Robert C. Johnston, Iain G. Mitochondrial network structure controls cell-to-cell mtDNA variability generated by cell divisions |
title | Mitochondrial network structure controls cell-to-cell mtDNA variability generated by cell divisions |
title_full | Mitochondrial network structure controls cell-to-cell mtDNA variability generated by cell divisions |
title_fullStr | Mitochondrial network structure controls cell-to-cell mtDNA variability generated by cell divisions |
title_full_unstemmed | Mitochondrial network structure controls cell-to-cell mtDNA variability generated by cell divisions |
title_short | Mitochondrial network structure controls cell-to-cell mtDNA variability generated by cell divisions |
title_sort | mitochondrial network structure controls cell-to-cell mtdna variability generated by cell divisions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072490/ https://www.ncbi.nlm.nih.gov/pubmed/36952562 http://dx.doi.org/10.1371/journal.pcbi.1010953 |
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