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ID 70961
フルテキストURL
著者
Naruse, Kiyoshi Laboratory of Bioresources, National Institute for Basic Biology
Loosli, Felix Institute of Biological and Chemical Systems, Biological Information Processing (IBCS-BIP), Karlsruhe Institute of Technology
Ansai, Satoshi Ushimado Marine Institute, Okayama University
Birney, Ewan European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI)
Wittbrodt, Joachim Centre for Organismal Studies (COS), Heidelberg University
抄録
Medaka is an established vertebrate model system for biological and biomedical research. It possesses unique features that make it particularly suitable for studying genome–environment interactions. Endemic to habitats spanning from 4 to 40°C and varying salinities, it combines broad ecological adaptability with experimental tractability. Its exceptional tolerance to inbreeding enabled the creation of the Medaka Inbred Kiyosu-Karlsruhe panel—80 near-isogenic, fully sequenced lines derived from a single wild population. More than 100 wild-derived, fully sequenced strains, collected throughout East Asia for more than 40 years, show relatively low intra-strain variation (inbreeding coefficient of >0.75) but high inter-strain variability (SNP rates >4%). Advanced quantification methods facilitate genome-wide association studies and quantitative trait locus mapping. The system’s amenability to clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 editing and emerging epigenomic profiling enables causal validation and regulatory-mechanism discovery. Collectively, medaka offers an unparalleled vertebrate framework for integrating genetics, environment, and epigenetics—bridging evolutionary, biomedical, and population-level perspectives.
キーワード
medaka
population genetics resource
wild-derived strains
GWAS
QTL mapping
genome–environment interactions
発行日
2026-04
出版物タイトル
Trends in Genetics
巻
42巻
号
4号
出版者
Elsevier BV
開始ページ
350
終了ページ
361
ISSN
0168-9525
NCID
AA10490466
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© 2026 The Authors.
論文のバージョン
publisher
PubMed ID
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1016/j.tig.2025.12.005
ライセンス
http://creativecommons.org/licenses/by-nc-nd/4.0/