Qin, YuweiLiu, ZhijianGao, ShiqiMartínez-Vasallo, CarlosLong, YanpingZhu, XinlongLiu, BinGao, YaXu, XiaodongNohales, Maria A.Xie, QiguangZhai, Jixian2025-06-192025-06-192025-05-052041-1723https://riunet.upv.es/handle/10251/221973[EN] Functional circadian clock is critical to the adaptation and survival of organisms. In land plants, the comprehensive profiling of circadian gene expression at the single-cell level is largely unknown partly due to the challenges in obtaining precisely-timed single cells embedded within cell walls. To bridge this gap, we employ time-lapse single-nucleus RNA sequencing (snRNA-seq) on Arabidopsis seedlings collected over a 48-hour window at 4-hour intervals, as well as over a 24-hour day at 2-hour intervals, yielding a total of over 77,142 and 130,000 nuclei. Here, we find that four cell clusters in the shoot share a coherent rhythm, while around 3000 genes display cell-type specific rhythmic expression. Our analysis indicates that genes encoding circadian regulators oscillate in multiple cell types, and the majority of them are well-documented core clock genes, suggesting the snRNA-seq circadian data could be used to identify more clock components oscillating in a cell-autonomous way. We identify ABF1 as a circadian regulator, whose overexpression and shortens the circadian period. Our data provides a comprehensive resource for plant circadian rhythmicity at the single-cell level (hosted at https://zhailab.bio.sustech.edu.cn/sc_circadian).Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)Time-lapse single-nucleus RNA sequencing (snRNA-seq)Cell typesCircadian regulatorsArtículo10.1038/s41467-025-59424-8Abierto40324996PMC12052988