Plant Lineage-Specific PIKMIN1 Drives APC/CCCS52A2 E3-Ligase Activity-Dependent Cell Division.
Alex WillemsYuanke LiangJefri HeymanThomas DepuydtThomas EekhoutBalkan CanherHilde Van den DaeleIlse VercauterenKlaas VandepoeleLieven De VeylderPublished in: Plant physiology (2022)
The anaphase-promoting complex/cyclosome (APC/C) marks key cell cycle proteins for proteasomal breakdown, thereby ensuring unidirectional progression through the cell cycle. Its target recognition is temporally regulated by activating subunits, one of which is called CELL CYCLE SWITCH 52 A2 (CCS52A2). We sought to expand the knowledge on the APC/C by using the severe growth phenotypes of CCS52A2-deficient Arabidopsis (Arabidopsis thaliana) plants as a readout in a suppressor mutagenesis screen, resulting in the identification of the previously undescribed gene called PIKMIN1 (PKN1). PKN1 deficiency rescues the disorganized root stem cell phenotype of the ccs52a2-1 mutant, whereas an excess of PKN1 inhibits growth of ccs52a2-1 plants, indicating the need for control of PKN1 abundance for proper development. Accordingly, the lack of PKN1 in a wild-type background negatively impacts cell division, while its systemic overexpression promotes proliferation. PKN1 shows a cell cycle phase-dependent accumulation pattern, localizing to microtubular structures, including the preprophase band, the mitotic spindle, and phragmoplast. PKN1 is conserved throughout the plant kingdom, with its function in cell division being evolutionary conserved in the liverwort Marchantia polymorpha. Our data thus demonstrate that PKN1 represents a novel, plant-specific gene with a role in cell division that is likely proteolytically controlled by the CCS52A2-activated APC/C.
Keyphrases
- cell cycle
- cell proliferation
- single cell
- stem cells
- wild type
- cell therapy
- transcription factor
- arabidopsis thaliana
- healthcare
- mesenchymal stem cells
- gene expression
- copy number
- high throughput
- electronic health record
- crispr cas
- machine learning
- mouse model
- artificial intelligence
- wastewater treatment
- high resolution
- microbial community
- drug induced
- antibiotic resistance genes