Shoot and root single cell sequencing reveals tissue- and daytime-specific transcriptome profiles.
Federico ApeltEleni MavrothalassitiSaurabh GuptaFrank MachinJustyna Jadwiga OlasMaria Grazia AnnunziataDana SchindelaschFriedrich KraglerPublished in: Plant physiology (2021)
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.
Keyphrases
- sleep quality
- single cell
- rna seq
- gene expression
- depressive symptoms
- high throughput
- physical activity
- transcription factor
- induced apoptosis
- emergency department
- plant growth
- dna methylation
- arabidopsis thaliana
- cell cycle arrest
- crispr cas
- escherichia coli
- stem cells
- obstructive sleep apnea
- climate change
- copy number
- risk assessment
- cystic fibrosis
- staphylococcus aureus