Arabidopsis cell suspension culture and RNA sequencing reveal regulatory networks underlying plant-programmed cell death.
Rory BurkeAideen McCabeNeetu Ramesh SonawaneMeet Hasmukh RathodConor V WhelanPaul F McCabeJoanna KacprzykPublished in: The Plant journal : for cell and molecular biology (2023)
Programmed cell death (PCD) facilitates selective, genetically controlled elimination of redundant, damaged, or infected cells. In plants, PCD is often an essential component of normal development and can mediate responses to abiotic and biotic stress stimuli. However, studying the transcriptional regulation of PCD is hindered by difficulties in sampling small groups of dying cells that are often buried within the bulk of living plant tissue. We addressed this challenge by using RNA sequencing and Arabidopsis thaliana suspension cells, a model system that allows precise monitoring of PCD rates. The use of three PCD-inducing treatments (salicylic acid, heat, and critical dilution), in combination with three cell death modulators (3-methyladenine, lanthanum chloride, and conditioned medium), enabled isolation of candidate core- and stimuli-specific PCD genes, inference of underlying regulatory networks and identification of putative transcriptional regulators of PCD in plants. This analysis underscored a disturbance of the cell cycle and mitochondrial retrograde signaling, and repression of pro-survival stress responses, as key elements of the PCD-associated transcriptional signature. Further, phenotyping of Arabidopsis T-DNA insertion mutants in selected candidate genes validated the potential of generated resources to identify novel genes involved in plant PCD pathways and/or stress tolerance.
Keyphrases
- transcription factor
- single cell
- induced apoptosis
- cell cycle arrest
- cell death
- cell cycle
- arabidopsis thaliana
- gene expression
- cell wall
- endoplasmic reticulum stress
- genome wide
- heat stress
- small molecule
- genome wide identification
- plant growth
- single molecule
- liquid chromatography tandem mass spectrometry
- stress induced
- dna methylation
- mass spectrometry
- bioinformatics analysis