Shoot and root single cell sequencing reveals tissue- and daytime-specific transcriptome profiles. Issue 2 (19th November 2021)

• Record Type: Journal Article
• Authors: Apelt, Federico; Mavrothalassiti, Eleni; Gupta, Saurabh; Machin, Frank; Olas, Justyna Jadwiga; Annunziata, Maria Grazia; Schindelasch, Dana; Kragler, Friedrich
• Is Part Of: Plant physiology. Volume 188:Issue 2(2022)
• Page Start: 861
• Page End: 878
• Publication Date: 2021-11-19
• Subjects: Plant physiology -- Periodicals; Botany -- Periodicals; Periodicals; Electronic journals; 571.2
• DOI: 10.1093/plphys/kiab537
• Languages: English
• ISSNs: 0032-0889

Abstract

Abstract: Although several large-scale single-cell RNA sequencing (scRNAseq) studies addressing the root of Arabidopsis ( Arabidopsis thaliana ) have been published, there is still need for a de novo reference map for both root and especially above-ground cell types. As the plants' transcriptome substantially changes throughout the day, shaped by the circadian clock, we performed scRNAseq on both Arabidopsis root and above-ground tissues at defined times of the day. For the root scRNAseq analysis, we used tissue-specific reporter lines grown on plates and harvested at the end of the day (ED). In addition, we submitted above-ground tissues from plants grown on soil at ED and end of the night to scRNAseq, which allowed us to identify common cell types/markers between root and shoot and uncover transcriptome changes to above-ground tissues depending on the time of the day. The dataset was also exploited beyond the traditional scRNAseq analysis to investigate non-annotated and di-cistronic transcripts. We experimentally confirmed the predicted presence of some of these transcripts and also addressed the potential function of a previously unidentified marker gene for dividing cells. In summary, this work provides insights into the spatial control of gene expression from nearly 70, 000 cells of Arabidopsis for below- and whole above-ground tissue at single-cell resolution at defined time points. Abstract : Analysis of Arabidopsis single cell transcriptome of roots (at end of day) and above ground tissues (at the end of day and the end of night) revealed marker genes, cell type differences, and similarities.