Abstract

The exposure of germ cells to radiation introduces mutations in the genomes of offspring, and a previous whole-genome sequencing study indicated that the irradiation of mouse sperm induces insertions/deletions (indels) and multisite mutations (clustered single nucleotide variants and indels). However, the current knowledge on the mutation spectra is limited, and the effects of radiation exposure on germ cells at stages other than the sperm stage remain unknown. Here, we performed whole-genome sequencing experiments to investigate the exposure of spermatogonia and mature oocytes. We compared de novo mutations in a total of 24 F1 mice conceived before and after the irradiation of their parents. The results indicated that radiation exposure, 4 Gy of gamma rays, induced 9.6 indels and 2.5 multisite mutations in spermatogonia and 4.7 indels and 3.1 multisite mutations in mature oocytes in the autosomal regions of each F1 individual. Notably, we found two types of deletions, namely, small deletions (mainly 1~12 nucleotides) in non-repeat sequences, many of which showed microhomology at the breakpoint junction, and single-nucleotide deletions in mononucleotide repeat sequences. The results suggest that these deletions and multisite mutations could be a typical signature of mutations induced by parental irradiation in mammals.

Details

Title
Characteristics of induced mutations in offspring derived from irradiated mouse spermatogonia and mature oocytes
Author
Satoh Yasunari 1   VIAFID ORCID Logo  ; Asakawa Jun-ichi 1 ; Nishimura Mayumi 2 ; Kuo, Tony 3 ; Shinkai Norio 4 ; Cullings Harry M 5 ; Minakuchi Yohei 6 ; Sese Jun 7 ; Toyoda Atsushi 6   VIAFID ORCID Logo  ; Shimada Yoshiya 8 ; Nakamura Nori 1 ; Uchimura Arikuni 1 

 Radiation Effects Research Foundation, Department of Molecular Biosciences, Minami-ku, Japan (GRID:grid.418889.4) (ISNI:0000 0001 2198 115X) 
 National Institutes for Quantum and Radiological Science and Technology (QST), Department of Radiation Effects Research, National Institute of Radiological Sciences (NIRS), Chiba, Japan (GRID:grid.482503.8) (ISNI:0000 0004 5900 003X) 
 Artificial Intelligence Research Center, AIST, Koto-ku, Japan (GRID:grid.208504.b) (ISNI:0000 0001 2230 7538) ; Real World Big-Data Computation Open Innovation Laboratory, AIST-Tokyo Tech, Meguro-ku, Japan (GRID:grid.32197.3e) (ISNI:0000 0001 2179 2105) 
 Artificial Intelligence Research Center, AIST, Koto-ku, Japan (GRID:grid.208504.b) (ISNI:0000 0001 2230 7538) 
 Radiation Effects Research Foundation, Department of Statistics, Minami-ku, Japan (GRID:grid.418889.4) (ISNI:0000 0001 2198 115X) 
 National Institute of Genetics, Comparative Genomics Laboratory, Mishima, Japan (GRID:grid.288127.6) (ISNI:0000 0004 0466 9350) 
 Artificial Intelligence Research Center, AIST, Koto-ku, Japan (GRID:grid.208504.b) (ISNI:0000 0001 2230 7538) ; Real World Big-Data Computation Open Innovation Laboratory, AIST-Tokyo Tech, Meguro-ku, Japan (GRID:grid.32197.3e) (ISNI:0000 0001 2179 2105) ; Humanome Lab, Inc., L-HUB 3F, Sinjuku-ku, Japan (GRID:grid.32197.3e) 
 Graduate School of Human Health Sciences, Tokyo Metropolitan University, Department of Radiological Sciences, Tokyo, Japan (GRID:grid.265074.2) (ISNI:0000 0001 1090 2030) ; Executive Director, QST, Chiba, Japan (GRID:grid.482503.8) (ISNI:0000 0004 5900 003X) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2342369826
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.