Quantitative analysis of dose dependent DNA fragmentation in dry pBR322 plasmid using long read sequencing and Monte Carlo simulations

Journal Article (2024)
Author(s)

Pierre Beaudier (Université de Bordeaux)

Sara A. Zein (Université de Bordeaux)

Konstantinos Chatzipapas (Université de Bordeaux)

Hoang Ngoc Tran (Université de Bordeaux)

Guillaume Devès (Université de Bordeaux)

Laurent Plawinski (Université de Bordeaux)

Rémy Liénard (Université de Bordeaux)

Denis Dupuy (Université de Bordeaux)

Hervé Seznec (Université de Bordeaux)

undefined More Authors

Affiliation
External organisation
DOI related publication
https://doi.org/10.1038/s41598-024-69406-3
More Info
expand_more
Publication Year
2024
Language
English
Affiliation
External organisation
Journal title
Scientific Reports
Issue number
1
Volume number
14
Article number
18650
Downloads counter
148

Abstract

Exposure to ionizing radiation can induce genetic aberrations via unrepaired DNA strand breaks. To investigate quantitatively the dose–effect relationship at the molecular level, we irradiated dry pBR322 plasmid DNA with 3 MeV protons and assessed fragmentation yields at different radiation doses using long-read sequencing from Oxford Nanopore Technologies. This technology applied to a reference DNA model revealed dose-dependent fragmentation, as evidenced by read length distributions, showing no discernible radiation sensitivity in specific genetic sequences. In addition, we propose a method for directly measuring the single-strand break (SSB) yield. Furthermore, through a comparative study with a collection of previous works on dry DNA irradiation, we show that the irradiation protocol leads to biases in the definition of ionizing sources. We support this scenario by discussing the size distributions of nanopore sequencing reads in the light of Geant4 and Geant4-DNA simulation toolkit predictions. We show that integrating long-read sequencing technologies with advanced Monte Carlo simulations paves a promising path toward advancing our comprehension and prediction of radiation-induced DNA fragmentation.

No files available

Metadata only record. There are no files for this record.