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De Novo Structural Variations of Escherichia coli Detected by Nanopore Long-Read Sequencing

Spontaneous mutations power evolution, whereas large-scale structural variations (SVs) remain poorly studied, primarily because of the lack of long-read sequencing techniques and powerful analytical tools. Here, we explore the SVs of Escherichia coli by running 67 wild-type (WT) and 37 mismatch repa...

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Autores principales: Zhou, Xia, Pan, Jiao, Wang, Yaohai, Lynch, Michael, Long, Hongan, Zhang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292909/
https://www.ncbi.nlm.nih.gov/pubmed/37293824
http://dx.doi.org/10.1093/gbe/evad106
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author Zhou, Xia
Pan, Jiao
Wang, Yaohai
Lynch, Michael
Long, Hongan
Zhang, Yu
author_facet Zhou, Xia
Pan, Jiao
Wang, Yaohai
Lynch, Michael
Long, Hongan
Zhang, Yu
author_sort Zhou, Xia
collection PubMed
description Spontaneous mutations power evolution, whereas large-scale structural variations (SVs) remain poorly studied, primarily because of the lack of long-read sequencing techniques and powerful analytical tools. Here, we explore the SVs of Escherichia coli by running 67 wild-type (WT) and 37 mismatch repair (MMR)–deficient (ΔmutS) mutation accumulation lines, each experiencing more than 4,000 cell divisions, by applying Nanopore long-read sequencing and Illumina PE150 sequencing and verifying the results by Sanger sequencing. In addition to precisely repeating previous mutation rates of base-pair substitutions and insertion and deletion (indel) mutation rates, we do find significant improvement in insertion and deletion detection using long-read sequencing. The long-read sequencing and corresponding software can particularly detect bacterial SVs in both simulated and real data sets with high accuracy. These lead to SV rates of 2.77 × 10(−4) (WT) and 5.26 × 10(−4) (MMR-deficient) per cell division per genome, which is comparable with previous reports. This study provides the SV rates of E. coli by applying long-read sequencing and SV detection programs, revealing a broader and more accurate picture of spontaneous mutations in bacteria.
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spelling pubmed-102929092023-06-27 De Novo Structural Variations of Escherichia coli Detected by Nanopore Long-Read Sequencing Zhou, Xia Pan, Jiao Wang, Yaohai Lynch, Michael Long, Hongan Zhang, Yu Genome Biol Evol Article Spontaneous mutations power evolution, whereas large-scale structural variations (SVs) remain poorly studied, primarily because of the lack of long-read sequencing techniques and powerful analytical tools. Here, we explore the SVs of Escherichia coli by running 67 wild-type (WT) and 37 mismatch repair (MMR)–deficient (ΔmutS) mutation accumulation lines, each experiencing more than 4,000 cell divisions, by applying Nanopore long-read sequencing and Illumina PE150 sequencing and verifying the results by Sanger sequencing. In addition to precisely repeating previous mutation rates of base-pair substitutions and insertion and deletion (indel) mutation rates, we do find significant improvement in insertion and deletion detection using long-read sequencing. The long-read sequencing and corresponding software can particularly detect bacterial SVs in both simulated and real data sets with high accuracy. These lead to SV rates of 2.77 × 10(−4) (WT) and 5.26 × 10(−4) (MMR-deficient) per cell division per genome, which is comparable with previous reports. This study provides the SV rates of E. coli by applying long-read sequencing and SV detection programs, revealing a broader and more accurate picture of spontaneous mutations in bacteria. Oxford University Press 2023-06-09 /pmc/articles/PMC10292909/ /pubmed/37293824 http://dx.doi.org/10.1093/gbe/evad106 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (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 Article
Zhou, Xia
Pan, Jiao
Wang, Yaohai
Lynch, Michael
Long, Hongan
Zhang, Yu
De Novo Structural Variations of Escherichia coli Detected by Nanopore Long-Read Sequencing
title De Novo Structural Variations of Escherichia coli Detected by Nanopore Long-Read Sequencing
title_full De Novo Structural Variations of Escherichia coli Detected by Nanopore Long-Read Sequencing
title_fullStr De Novo Structural Variations of Escherichia coli Detected by Nanopore Long-Read Sequencing
title_full_unstemmed De Novo Structural Variations of Escherichia coli Detected by Nanopore Long-Read Sequencing
title_short De Novo Structural Variations of Escherichia coli Detected by Nanopore Long-Read Sequencing
title_sort de novo structural variations of escherichia coli detected by nanopore long-read sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292909/
https://www.ncbi.nlm.nih.gov/pubmed/37293824
http://dx.doi.org/10.1093/gbe/evad106
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