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Evolving mtDNA populations within cells
Mitochondrial DNA (mtDNA) encodes vital respiratory machinery. Populations of mtDNA molecules exist in most eukaryotic cells, subject to replication, degradation, mutation, and other population processes. These processes affect the genetic makeup of cellular mtDNA populations, changing cell-to-cell...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824680/ https://www.ncbi.nlm.nih.gov/pubmed/31484687 http://dx.doi.org/10.1042/BST20190238 |
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author | Johnston, Iain G. Burgstaller, Joerg P. |
author_facet | Johnston, Iain G. Burgstaller, Joerg P. |
author_sort | Johnston, Iain G. |
collection | PubMed |
description | Mitochondrial DNA (mtDNA) encodes vital respiratory machinery. Populations of mtDNA molecules exist in most eukaryotic cells, subject to replication, degradation, mutation, and other population processes. These processes affect the genetic makeup of cellular mtDNA populations, changing cell-to-cell distributions, means, and variances of mutant mtDNA load over time. As mtDNA mutant load has nonlinear effects on cell functionality, and cell functionality has nonlinear effects on tissue performance, these statistics of cellular mtDNA populations play vital roles in health, disease, and inheritance. This mini review will describe some of the better-known ways in which these populations change over time in different organisms, highlighting the importance of quantitatively understanding both mutant load mean and variance. Due to length constraints, we cannot attempt to be comprehensive but hope to provide useful links to some of the many excellent studies on these topics. |
format | Online Article Text |
id | pubmed-6824680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68246802019-11-12 Evolving mtDNA populations within cells Johnston, Iain G. Burgstaller, Joerg P. Biochem Soc Trans Review Articles Mitochondrial DNA (mtDNA) encodes vital respiratory machinery. Populations of mtDNA molecules exist in most eukaryotic cells, subject to replication, degradation, mutation, and other population processes. These processes affect the genetic makeup of cellular mtDNA populations, changing cell-to-cell distributions, means, and variances of mutant mtDNA load over time. As mtDNA mutant load has nonlinear effects on cell functionality, and cell functionality has nonlinear effects on tissue performance, these statistics of cellular mtDNA populations play vital roles in health, disease, and inheritance. This mini review will describe some of the better-known ways in which these populations change over time in different organisms, highlighting the importance of quantitatively understanding both mutant load mean and variance. Due to length constraints, we cannot attempt to be comprehensive but hope to provide useful links to some of the many excellent studies on these topics. Portland Press Ltd. 2019-10-31 2019-09-04 /pmc/articles/PMC6824680/ /pubmed/31484687 http://dx.doi.org/10.1042/BST20190238 Text en © 2019 The Author(s) https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Articles Johnston, Iain G. Burgstaller, Joerg P. Evolving mtDNA populations within cells |
title | Evolving mtDNA populations within cells |
title_full | Evolving mtDNA populations within cells |
title_fullStr | Evolving mtDNA populations within cells |
title_full_unstemmed | Evolving mtDNA populations within cells |
title_short | Evolving mtDNA populations within cells |
title_sort | evolving mtdna populations within cells |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824680/ https://www.ncbi.nlm.nih.gov/pubmed/31484687 http://dx.doi.org/10.1042/BST20190238 |
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