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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.
Afiliação
  • Zhou X; Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, Qingdao, Shandong Province, China.
  • Pan J; Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, Qingdao, Shandong Province, China.
  • Wang Y; Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, Qingdao, Shandong Province, China.
  • Lynch M; Biodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, Arizona, USA.
  • Long H; Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, Qingdao, Shandong Province, China.
  • Zhang Y; Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, Qingdao, Shandong Province, China.
Genome Biol Evol ; 15(6)2023 06 01.
Article em En | MEDLINE | ID: mdl-37293824
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escherichia coli / Nanoporos Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escherichia coli / Nanoporos Idioma: En Ano de publicação: 2023 Tipo de documento: Article