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Universally high transcript error rates in bacteria

Errors can occur at any level during the replication and transcription of genetic information. Genetic mutations derived mainly from replication errors have been extensively studied. However, fundamental details of transcript errors, such as their rate, molecular spectrum, and functional effects, re...

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Autores principales: Li, Weiyi, Lynch, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259958/
https://www.ncbi.nlm.nih.gov/pubmed/32469307
http://dx.doi.org/10.7554/eLife.54898
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author Li, Weiyi
Lynch, Michael
author_facet Li, Weiyi
Lynch, Michael
author_sort Li, Weiyi
collection PubMed
description Errors can occur at any level during the replication and transcription of genetic information. Genetic mutations derived mainly from replication errors have been extensively studied. However, fundamental details of transcript errors, such as their rate, molecular spectrum, and functional effects, remain largely unknown. To globally identify transcript errors, we applied an adapted rolling-circle sequencing approach to Escherichia coli, Bacillus subtilis, Agrobacterium tumefaciens, and Mesoplasma florum, revealing transcript-error rates 3 to 4 orders of magnitude higher than the corresponding genetic mutation rates. The majority of detected errors would result in amino-acid changes, if translated. With errors identified from 9929 loci, the molecular spectrum and distribution of errors were uncovered in great detail. A G→A substitution bias was observed in M. florum, which apparently has an error-prone RNA polymerase. Surprisingly, an increased frequency of nonsense errors towards the 3′ end of mRNAs was observed, suggesting a Nonsense-Mediated Decay-like quality-control mechanism in prokaryotes.
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spelling pubmed-72599582020-06-02 Universally high transcript error rates in bacteria Li, Weiyi Lynch, Michael eLife Chromosomes and Gene Expression Errors can occur at any level during the replication and transcription of genetic information. Genetic mutations derived mainly from replication errors have been extensively studied. However, fundamental details of transcript errors, such as their rate, molecular spectrum, and functional effects, remain largely unknown. To globally identify transcript errors, we applied an adapted rolling-circle sequencing approach to Escherichia coli, Bacillus subtilis, Agrobacterium tumefaciens, and Mesoplasma florum, revealing transcript-error rates 3 to 4 orders of magnitude higher than the corresponding genetic mutation rates. The majority of detected errors would result in amino-acid changes, if translated. With errors identified from 9929 loci, the molecular spectrum and distribution of errors were uncovered in great detail. A G→A substitution bias was observed in M. florum, which apparently has an error-prone RNA polymerase. Surprisingly, an increased frequency of nonsense errors towards the 3′ end of mRNAs was observed, suggesting a Nonsense-Mediated Decay-like quality-control mechanism in prokaryotes. eLife Sciences Publications, Ltd 2020-05-29 /pmc/articles/PMC7259958/ /pubmed/32469307 http://dx.doi.org/10.7554/eLife.54898 Text en © 2020, Li and Lynch http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Chromosomes and Gene Expression
Li, Weiyi
Lynch, Michael
Universally high transcript error rates in bacteria
title Universally high transcript error rates in bacteria
title_full Universally high transcript error rates in bacteria
title_fullStr Universally high transcript error rates in bacteria
title_full_unstemmed Universally high transcript error rates in bacteria
title_short Universally high transcript error rates in bacteria
title_sort universally high transcript error rates in bacteria
topic Chromosomes and Gene Expression
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259958/
https://www.ncbi.nlm.nih.gov/pubmed/32469307
http://dx.doi.org/10.7554/eLife.54898
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