» Articles » PMID: 37293824

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

Overview
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

The impact of aztreonam-clavulanic acid exposure on gene expression and mutant selection using a multidrug-resistant .

Lin T, Zhang J, Diao S, Yan J, Zhang K, Cao J Microbiol Spectr. 2025; 13(3):e0178224.

PMID: 39932309 PMC: 11878011. DOI: 10.1128/spectrum.01782-24.


Association between clinical-biological characteristics of Klebsiella pneumoniae and 28-day mortality in patients with bloodstream infection.

Yu X, Zhao Y, Sun X, Luan J, Wang H, Sun T BMC Microbiol. 2024; 24(1):552.

PMID: 39736549 PMC: 11686861. DOI: 10.1186/s12866-024-03714-6.


The rate and spectrum of new mutations in mice inferred by long-read sequencing.

Lopez-Cortegano E, Chebib J, Jonas A, Vock A, Kunzel S, Keightley P Genome Res. 2024; 35(1):43-54.

PMID: 39622636 PMC: 11789640. DOI: 10.1101/gr.279982.124.


Contributions of Long-Read Sequencing for the Detection of Antimicrobial Resistance.

Sierra R, Roch M, Moraz M, Prados J, Vuilleumier N, Emonet S Pathogens. 2024; 13(9).

PMID: 39338921 PMC: 11434816. DOI: 10.3390/pathogens13090730.


Sequencing and characterization of Helcococcus ovis: a comprehensive comparative genomic analysis of virulence.

Cunha F, Casaro S, Jones K, Bisinotto R, Kariyawasam S, Brown M BMC Genomics. 2023; 24(1):501.

PMID: 37648976 PMC: 10466703. DOI: 10.1186/s12864-023-09581-1.

References
1.
Lesack K, Mariene G, Andersen E, Wasmuth J . Different structural variant prediction tools yield considerably different results in Caenorhabditis elegans. PLoS One. 2022; 17(12):e0278424. PMC: 9803319. DOI: 10.1371/journal.pone.0278424. View

2.
Foster P, Lee H, Popodi E, Townes J, Tang H . Determinants of spontaneous mutation in the bacterium Escherichia coli as revealed by whole-genome sequencing. Proc Natl Acad Sci U S A. 2015; 112(44):E5990-9. PMC: 4640725. DOI: 10.1073/pnas.1512136112. View

3.
Putze J, Hennequin C, Nougayrede J, Zhang W, Homburg S, Karch H . Genetic structure and distribution of the colibactin genomic island among members of the family Enterobacteriaceae. Infect Immun. 2009; 77(11):4696-703. PMC: 2772509. DOI: 10.1128/IAI.00522-09. View

4.
Zeevi D, Korem T, Godneva A, Bar N, Kurilshikov A, Lotan-Pompan M . Structural variation in the gut microbiome associates with host health. Nature. 2019; 568(7750):43-48. DOI: 10.1038/s41586-019-1065-y. View

5.
Long H, Miller S, Strauss C, Zhao C, Cheng L, Ye Z . Antibiotic treatment enhances the genome-wide mutation rate of target cells. Proc Natl Acad Sci U S A. 2016; 113(18):E2498-505. PMC: 4983809. DOI: 10.1073/pnas.1601208113. View