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Chisada S, Ohtsuka K, Fujiwara M, Yoshida M, Matsushima S, Watanabe T, Karita K, Ohnishi H. A rad50 germline mutation induces tumorigenesis and ataxia-telangiectasia phenotype in a transparent medaka model. PLoS One 2023; 18:e0282277. [PMID: 37098078 PMCID: PMC10129005 DOI: 10.1371/journal.pone.0282277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 02/11/2023] [Indexed: 04/26/2023] Open
Abstract
The MRE11A-RAD50-NBS1 complex activates the ataxia-telangiectasia mutated (ATM) pathway and plays a central role in genome homeostasis. The association of RAD50 mutations with disease remains unclear; hence, we adopted a medaka rad50 mutant to demonstrate the significance of RAD50 mutation in pathogenesis using the medaka as an experimental animal. A 2-base pair deletion in the rad50 gene was introduced into transparent STIII medaka using the CRISPR/Cas9 system. The mutant was analyzed histologically for tumorigenicity and hindbrain quality, as well as for swimming behavior, to compare with existing ATM-, MRE11A-, and NBS1-mutation-related pathology. Our results revealed that the medaka rad50 mutation concurrently reproduced tumorigenesis (8 out of 10 rad50Δ2/+ medaka), had a decrease in median survival time (65.7 ± 1.1 weeks in control vs. 54.2 ± 2.6 weeks in rad50Δ2/+ medaka, p = 0.001, Welch's t-test), exhibited semi-lethality in rad50Δ2/Δ2 medaka and most of the major ataxia-telangiectasia phenotypes, including ataxia (rheotaxis ability was lower in rad50Δ2/+ medaka than in the control, Mann-Whitney U test, p < 0.05), and telangiectasia (6 out of 10 rad50Δ2/+ medaka). The fish model may aid in further understanding the tumorigenesis and phenotype of ataxia-telangiectasia-related RAD50 germline mutations and in developing novel therapeutic strategies against RAD50 molecular disorders.
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Affiliation(s)
- Shinichi Chisada
- Department of Hygiene and Public Health, Kyorin University School of Medicine, Mitaka, Tokyo, Japan
| | - Kouki Ohtsuka
- Department of Laboratory Medicine, Kyorin University School of Medicine, Mitaka, Tokyo, Japan
| | - Masachika Fujiwara
- Department of Pathology, Kyorin University School of Medicine, Mitaka, Tokyo, Japan
| | - Masao Yoshida
- Department of Hygiene and Public Health, Kyorin University School of Medicine, Mitaka, Tokyo, Japan
| | - Satsuki Matsushima
- Department of Laboratory Medicine, Kyorin University School of Medicine, Mitaka, Tokyo, Japan
| | - Takashi Watanabe
- Department of Laboratory Medicine, Kyorin University School of Medicine, Mitaka, Tokyo, Japan
| | - Kanae Karita
- Department of Hygiene and Public Health, Kyorin University School of Medicine, Mitaka, Tokyo, Japan
| | - Hiroaki Ohnishi
- Department of Laboratory Medicine, Kyorin University School of Medicine, Mitaka, Tokyo, Japan
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Medaka Population Genome Structure and Demographic History Described via Genotyping-by-Sequencing. G3-GENES GENOMES GENETICS 2019; 9:217-228. [PMID: 30482798 PMCID: PMC6325896 DOI: 10.1534/g3.118.200779] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Medaka is a model organism in medicine, genetics, developmental biology and population genetics. Lab stocks composed of more than 100 local wild populations are available for research in these fields. Thus, medaka represents a potentially excellent bioresource for screening disease-risk- and adaptation-related genes in genome-wide association studies. Although the genetic population structure should be known before performing such an analysis, a comprehensive study on the genome-wide diversity of wild medaka populations has not been performed. Here, we performed genotyping-by-sequencing (GBS) for 81 and 12 medakas captured from a bioresource and the wild, respectively. Based on the GBS data, we evaluated the genetic population structure and estimated the demographic parameters using an approximate Bayesian computation (ABC) framework. The genome-wide data confirmed that there were substantial differences between local populations and supported our previously proposed hypothesis on medaka dispersal based on mitochondrial genome (mtDNA) data. A new finding was that a local group that was thought to be a hybrid between the northern and the southern Japanese groups was actually an origin of the northern Japanese group. Thus, this paper presents the first population-genomic study of medaka and reveals its population structure and history based on chromosomal genetic diversity.
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