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Rates of gene conversions between Escherichia coli ribosomal operons

Due to their universal presence and high sequence conservation, ribosomal RNA (rRNA) sequences are used widely in phylogenetics for inferring evolutionary relationships between microbes and in metagenomics for analyzing the composition of microbial communities. Most microbial genomes encode multiple...

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Autores principales: Gifford, Isaac, Dasgupta, Aurko, Barrick, Jeffrey E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022953/
https://www.ncbi.nlm.nih.gov/pubmed/33585862
http://dx.doi.org/10.1093/g3journal/jkaa002
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author Gifford, Isaac
Dasgupta, Aurko
Barrick, Jeffrey E
author_facet Gifford, Isaac
Dasgupta, Aurko
Barrick, Jeffrey E
author_sort Gifford, Isaac
collection PubMed
description Due to their universal presence and high sequence conservation, ribosomal RNA (rRNA) sequences are used widely in phylogenetics for inferring evolutionary relationships between microbes and in metagenomics for analyzing the composition of microbial communities. Most microbial genomes encode multiple copies of rRNA genes to supply cells with sufficient capacity for protein synthesis. These copies typically undergo concerted evolution that keeps their sequences identical, or nearly so, due to gene conversion, a type of intragenomic recombination that changes one copy of a homologous sequence to exactly match another. Widely varying rates of rRNA gene conversion have previously been estimated by comparative genomics methods and using genetic reporter assays. To more directly measure rates of rRNA intragenomic recombination, we sequenced the seven Escherichia coli rRNA operons in 15 lineages that were evolved for ∼13,750 generations with frequent single-cell bottlenecks that reduce the effects of selection. We identified 38 gene conversion events and estimated an overall rate of intragenomic recombination within the 16S and 23S genes between rRNA copies of 3.6 × 10(−4) per genome per generation or 8.6 × 10(−6) per rRNA operon per homologous donor operon per generation. This rate varied only slightly from random expectations at different sites within the rRNA genes and between rRNA operons located at different positions in the genome. Our accurate estimate of the rate of rRNA gene conversions fills a gap in our quantitative understanding of how ribosomal sequences and other multicopy elements diversify and homogenize during microbial genome evolution.
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spelling pubmed-80229532021-04-09 Rates of gene conversions between Escherichia coli ribosomal operons Gifford, Isaac Dasgupta, Aurko Barrick, Jeffrey E G3 (Bethesda) Investigation Due to their universal presence and high sequence conservation, ribosomal RNA (rRNA) sequences are used widely in phylogenetics for inferring evolutionary relationships between microbes and in metagenomics for analyzing the composition of microbial communities. Most microbial genomes encode multiple copies of rRNA genes to supply cells with sufficient capacity for protein synthesis. These copies typically undergo concerted evolution that keeps their sequences identical, or nearly so, due to gene conversion, a type of intragenomic recombination that changes one copy of a homologous sequence to exactly match another. Widely varying rates of rRNA gene conversion have previously been estimated by comparative genomics methods and using genetic reporter assays. To more directly measure rates of rRNA intragenomic recombination, we sequenced the seven Escherichia coli rRNA operons in 15 lineages that were evolved for ∼13,750 generations with frequent single-cell bottlenecks that reduce the effects of selection. We identified 38 gene conversion events and estimated an overall rate of intragenomic recombination within the 16S and 23S genes between rRNA copies of 3.6 × 10(−4) per genome per generation or 8.6 × 10(−6) per rRNA operon per homologous donor operon per generation. This rate varied only slightly from random expectations at different sites within the rRNA genes and between rRNA operons located at different positions in the genome. Our accurate estimate of the rate of rRNA gene conversions fills a gap in our quantitative understanding of how ribosomal sequences and other multicopy elements diversify and homogenize during microbial genome evolution. Oxford University Press 2020-11-11 /pmc/articles/PMC8022953/ /pubmed/33585862 http://dx.doi.org/10.1093/g3journal/jkaa002 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Genetics Society of America. https://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/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigation
Gifford, Isaac
Dasgupta, Aurko
Barrick, Jeffrey E
Rates of gene conversions between Escherichia coli ribosomal operons
title Rates of gene conversions between Escherichia coli ribosomal operons
title_full Rates of gene conversions between Escherichia coli ribosomal operons
title_fullStr Rates of gene conversions between Escherichia coli ribosomal operons
title_full_unstemmed Rates of gene conversions between Escherichia coli ribosomal operons
title_short Rates of gene conversions between Escherichia coli ribosomal operons
title_sort rates of gene conversions between escherichia coli ribosomal operons
topic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022953/
https://www.ncbi.nlm.nih.gov/pubmed/33585862
http://dx.doi.org/10.1093/g3journal/jkaa002
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