作物学报2025，Vol.51Issue(12)：3121-3132,12.DOI:10.3724/SP.J.1006.2025.55043
基于空间转录组技术解析大豆种胚对X射线辐射的响应机制
Spatial transcriptomic analysis of soybean embryonic responses to X-ray irradiation
摘要
Abstract
Radiation mutagenesis is widely applied in soybean breeding;however,its underlying molecular mechanisms remain poorly understood.Spatial transcriptomics has emerged as a powerful tool for resolving gene expression heterogeneity,yet its application in radiation-mutagenized soybean embryos has not been reported.In this study,spatial transcriptomics was employed to analyze gene expression patterns in non-irradiated and X-ray-irradiated soybean embryos.Both groups were classified into 13 distinct cellular clusters,and comprehensive spatial transcriptomic atlases were successfully constructed.Differential expression analysis identified several key functional genes,including DNA repair-related genes(GmW82.19G089600 and GmW82.16G057600),stress-responsive genes(GmW82.06G256600 and GmW82.10G206900),and GmW82.13G274300.These differentially expressed genes(DEGs)were associated with stem development and exhibited consistently high expression in the epicotyls of both irradiated and non-irradiated embryos.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses revealed significant involvement of pathways related to cellular stress response,regulation of DNA-templated transcription,oxi-dative stress response,and glutathione metabolism This study presents the first spatial transcriptomic profiling of soybean em-bryos under radiation stress,identifies key genes involved in DNA repair and stress responses,and provides valuable insights into the regulatory mechanisms of underlying radiation-induced mutagenesis in plants.关键词
电离辐射/空间转录组/大豆/差异表达基因/非生物胁迫响应Key words
ionizing radiation/spatial transcriptome/soybean/differentially expressed genes/abiotic stress response引用本文复制引用
许睿,何妙华,王昊,李卫,任杰,夏志强..基于空间转录组技术解析大豆种胚对X射线辐射的响应机制[J].作物学报,2025,51(12):3121-3132,12.基金项目
本研究由农业生物育种国家科技重大专项(2023ZD04073),海南省崖州湾种子实验室项目(B23YQ0002)和崖州湾科技城先进计算中心超算平台项目资助. This study was supported by the Biological Breeding-National Science and Technology Major Project(2023ZD04073),the Hainan Yazhou Bay Seed Laboratory Project(B23YQ0002),and the High-performance Computing Platform Project of YZBSTCACC. （2023ZD04073）
