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MtDNA sequence features associated with ‘selfish genomes’ predict tissue-specific segregation and reversion
Mitochondrial DNA (mtDNA) encodes cellular machinery vital for cell and organism survival. Mutations, genetic manipulation, and gene therapies may produce cells where different types of mtDNA coexist in admixed populations. In these admixtures, one mtDNA type is often observed to proliferate over an...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470939/ https://www.ncbi.nlm.nih.gov/pubmed/32716035 http://dx.doi.org/10.1093/nar/gkaa622 |
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author | Røyrvik, Ellen C Johnston, Iain G |
author_facet | Røyrvik, Ellen C Johnston, Iain G |
author_sort | Røyrvik, Ellen C |
collection | PubMed |
description | Mitochondrial DNA (mtDNA) encodes cellular machinery vital for cell and organism survival. Mutations, genetic manipulation, and gene therapies may produce cells where different types of mtDNA coexist in admixed populations. In these admixtures, one mtDNA type is often observed to proliferate over another, with different types dominating in different tissues. This ‘segregation bias’ is a long-standing biological mystery that may pose challenges to modern mtDNA disease therapies, leading to substantial recent attention in biological and medical circles. Here, we show how an mtDNA sequence’s balance between replication and transcription, corresponding to molecular ‘selfishness’, in conjunction with cellular selection, can potentially modulate segregation bias. We combine a new replication-transcription-selection (RTS) model with a meta-analysis of existing data to show that this simple theory predicts complex tissue-specific patterns of segregation in mouse experiments, and reversion in human stem cells. We propose the stability of G-quadruplexes in the mtDNA control region, influencing the balance between transcription and replication primer formation, as a potential molecular mechanism governing this balance. Linking mtDNA sequence features, through this molecular mechanism, to cellular population dynamics, we use sequence data to obtain and verify the sequence-specific predictions from this hypothesis on segregation behaviour in mouse and human mtDNA. |
format | Online Article Text |
id | pubmed-7470939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74709392020-09-09 MtDNA sequence features associated with ‘selfish genomes’ predict tissue-specific segregation and reversion Røyrvik, Ellen C Johnston, Iain G Nucleic Acids Res Computational Biology Mitochondrial DNA (mtDNA) encodes cellular machinery vital for cell and organism survival. Mutations, genetic manipulation, and gene therapies may produce cells where different types of mtDNA coexist in admixed populations. In these admixtures, one mtDNA type is often observed to proliferate over another, with different types dominating in different tissues. This ‘segregation bias’ is a long-standing biological mystery that may pose challenges to modern mtDNA disease therapies, leading to substantial recent attention in biological and medical circles. Here, we show how an mtDNA sequence’s balance between replication and transcription, corresponding to molecular ‘selfishness’, in conjunction with cellular selection, can potentially modulate segregation bias. We combine a new replication-transcription-selection (RTS) model with a meta-analysis of existing data to show that this simple theory predicts complex tissue-specific patterns of segregation in mouse experiments, and reversion in human stem cells. We propose the stability of G-quadruplexes in the mtDNA control region, influencing the balance between transcription and replication primer formation, as a potential molecular mechanism governing this balance. Linking mtDNA sequence features, through this molecular mechanism, to cellular population dynamics, we use sequence data to obtain and verify the sequence-specific predictions from this hypothesis on segregation behaviour in mouse and human mtDNA. Oxford University Press 2020-09-04 2020-07-27 /pmc/articles/PMC7470939/ /pubmed/32716035 http://dx.doi.org/10.1093/nar/gkaa622 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Røyrvik, Ellen C Johnston, Iain G MtDNA sequence features associated with ‘selfish genomes’ predict tissue-specific segregation and reversion |
title | MtDNA sequence features associated with ‘selfish genomes’ predict tissue-specific segregation and reversion |
title_full | MtDNA sequence features associated with ‘selfish genomes’ predict tissue-specific segregation and reversion |
title_fullStr | MtDNA sequence features associated with ‘selfish genomes’ predict tissue-specific segregation and reversion |
title_full_unstemmed | MtDNA sequence features associated with ‘selfish genomes’ predict tissue-specific segregation and reversion |
title_short | MtDNA sequence features associated with ‘selfish genomes’ predict tissue-specific segregation and reversion |
title_sort | mtdna sequence features associated with ‘selfish genomes’ predict tissue-specific segregation and reversion |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470939/ https://www.ncbi.nlm.nih.gov/pubmed/32716035 http://dx.doi.org/10.1093/nar/gkaa622 |
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