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Comparison of detection methods and genome quality when quantifying nuclear mitochondrial insertions in vertebrate genomes

The integration of mitochondrial genome fragments into the nuclear genome is well documented, and the transfer of these mitochondrial nuclear pseudogenes (numts) is thought to be an ongoing evolutionary process. With the increasing number of eukaryotic genomes available, genome-wide distributions of...

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Autores principales: Triant, Deborah A., Pearson, William R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723244/
https://www.ncbi.nlm.nih.gov/pubmed/36482890
http://dx.doi.org/10.3389/fgene.2022.984513
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author Triant, Deborah A.
Pearson, William R.
author_facet Triant, Deborah A.
Pearson, William R.
author_sort Triant, Deborah A.
collection PubMed
description The integration of mitochondrial genome fragments into the nuclear genome is well documented, and the transfer of these mitochondrial nuclear pseudogenes (numts) is thought to be an ongoing evolutionary process. With the increasing number of eukaryotic genomes available, genome-wide distributions of numts are often surveyed. However, inconsistencies in genome quality can reduce the accuracy of numt estimates, and methods used for identification can be complicated by the diverse sizes and ages of numts. Numts have been previously characterized in rodent genomes and it was postulated that they might be more prevalent in a group of voles with rapidly evolving karyotypes. Here, we examine 37 rodent genomes, and an additional 26 vertebrate genomes, while also considering numt detection methods. We identify numts using DNA:DNA and protein:translated-DNA similarity searches and compare numt distributions among rodent and vertebrate taxa to assess whether some groups are more susceptible to transfer. A combination of protein sequence comparisons (protein:translated-DNA) and BLASTN genomic DNA searches detect 50% more numts than genomic DNA:DNA searches alone. In addition, higher-quality RefSeq genomes produce lower estimates of numts than GenBank genomes, suggesting that lower quality genome assemblies can overestimate numts abundance. Phylogenetic analysis shows that mitochondrial transfers are not associated with karyotypic diversity among rodents. Surprisingly, we did not find a strong correlation between numt counts and genome size. Estimates using DNA: DNA analyses can underestimate the amount of mitochondrial DNA that is transferred to the nucleus.
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spelling pubmed-97232442022-12-07 Comparison of detection methods and genome quality when quantifying nuclear mitochondrial insertions in vertebrate genomes Triant, Deborah A. Pearson, William R. Front Genet Genetics The integration of mitochondrial genome fragments into the nuclear genome is well documented, and the transfer of these mitochondrial nuclear pseudogenes (numts) is thought to be an ongoing evolutionary process. With the increasing number of eukaryotic genomes available, genome-wide distributions of numts are often surveyed. However, inconsistencies in genome quality can reduce the accuracy of numt estimates, and methods used for identification can be complicated by the diverse sizes and ages of numts. Numts have been previously characterized in rodent genomes and it was postulated that they might be more prevalent in a group of voles with rapidly evolving karyotypes. Here, we examine 37 rodent genomes, and an additional 26 vertebrate genomes, while also considering numt detection methods. We identify numts using DNA:DNA and protein:translated-DNA similarity searches and compare numt distributions among rodent and vertebrate taxa to assess whether some groups are more susceptible to transfer. A combination of protein sequence comparisons (protein:translated-DNA) and BLASTN genomic DNA searches detect 50% more numts than genomic DNA:DNA searches alone. In addition, higher-quality RefSeq genomes produce lower estimates of numts than GenBank genomes, suggesting that lower quality genome assemblies can overestimate numts abundance. Phylogenetic analysis shows that mitochondrial transfers are not associated with karyotypic diversity among rodents. Surprisingly, we did not find a strong correlation between numt counts and genome size. Estimates using DNA: DNA analyses can underestimate the amount of mitochondrial DNA that is transferred to the nucleus. Frontiers Media S.A. 2022-11-22 /pmc/articles/PMC9723244/ /pubmed/36482890 http://dx.doi.org/10.3389/fgene.2022.984513 Text en Copyright © 2022 Triant and Pearson. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Triant, Deborah A.
Pearson, William R.
Comparison of detection methods and genome quality when quantifying nuclear mitochondrial insertions in vertebrate genomes
title Comparison of detection methods and genome quality when quantifying nuclear mitochondrial insertions in vertebrate genomes
title_full Comparison of detection methods and genome quality when quantifying nuclear mitochondrial insertions in vertebrate genomes
title_fullStr Comparison of detection methods and genome quality when quantifying nuclear mitochondrial insertions in vertebrate genomes
title_full_unstemmed Comparison of detection methods and genome quality when quantifying nuclear mitochondrial insertions in vertebrate genomes
title_short Comparison of detection methods and genome quality when quantifying nuclear mitochondrial insertions in vertebrate genomes
title_sort comparison of detection methods and genome quality when quantifying nuclear mitochondrial insertions in vertebrate genomes
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723244/
https://www.ncbi.nlm.nih.gov/pubmed/36482890
http://dx.doi.org/10.3389/fgene.2022.984513
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