Single-Cell Transcriptomics Sheds Light on the Identity and Metabolism of Developing Leaf Cells.
Rubén Tenorio BerríoKevin VerstaenNiels VandammeJulie PevernagieIgnacio AchonJulie Van DuyseGert Van IsterdaelYvan SaeysLieven De VeylderDirk InzéMarieke DuboisPublished in: Plant physiology (2021)
As the main photosynthetic instruments of vascular plants, leaves are crucial and complex plant organs. A strict organization of leaf mesophyll and epidermal cell layers orchestrates photosynthesis and gas exchange. In addition, water and nutrients for leaf growth are transported through the vascular tissue. To establish the single-cell transcriptomic landscape of these different leaf tissues, we performed high-throughput transcriptome sequencing of individual cells isolated from young leaves of Arabidopsis (Arabidopsis thaliana) seedlings grown in two different environmental conditions. The detection of ∼19,000 different transcripts in over 1,800 high-quality leaf cells revealed 14 cell populations composing the young, differentiating leaf. Besides the cell populations comprising the core leaf tissues, we identified subpopulations with distinct identity or metabolic activity. In addition, we proposed cell-type specific markers for each of these populations. Finally, an intuitive web tool allows for browsing the presented dataset. Our data presents insights on how the different cell populations constituting a developing leaf are connected via developmental, metabolic, or stress-related trajectories.
Keyphrases
- single cell
- rna seq
- high throughput
- induced apoptosis
- arabidopsis thaliana
- cell cycle arrest
- gene expression
- stem cells
- magnetic resonance imaging
- cell therapy
- middle aged
- risk assessment
- room temperature
- magnetic resonance
- cell death
- dna methylation
- heavy metals
- drug induced
- artificial intelligence
- big data
- deep learning
- ionic liquid
- solar cells
- sensitive detection