Wounding Triggers Callus Formation via Dynamic Hormonal and Transcriptional Changes.
Momoko IkeuchiAkira IwaseBart RymenAlice LambolezMikiko KojimaYumiko TakebayashiJefri HeymanShunsuke WatanabeMitsunori SeoLieven De VeylderHitoshi SakakibaraKeiko SugimotoPublished in: Plant physiology (2017)
Wounding is a primary trigger of organ regeneration, but how wound stress reactivates cell proliferation and promotes cellular reprogramming remains elusive. In this study, we combined transcriptome analysis with quantitative hormonal analysis to investigate how wounding induces callus formation in Arabidopsis (Arabidopsis thaliana). Our time course RNA-seq analysis revealed that wounding induces dynamic transcriptional changes, starting from rapid stress responses followed by the activation of metabolic processes and protein synthesis and subsequent activation of cell cycle regulators. Gene ontology analyses further uncovered that wounding modifies the expression of hormone biosynthesis and response genes, and quantitative analysis of endogenous plant hormones revealed accumulation of cytokinin prior to callus formation. Mutants defective in cytokinin synthesis and signaling display reduced efficiency in callus formation, indicating that de novo synthesis of cytokinin is critical for wound-induced callus formation. We further demonstrate that type-B ARABIDOPSIS RESPONSE REGULATOR-mediated cytokinin signaling regulates the expression of CYCLIN D3;1 (CYCD3;1) and that mutations in CYCD3;1 and its homologs CYCD3;2 and 3 cause defects in callus formation. In addition to these hormone-mediated changes, our transcriptome data uncovered that wounding activates multiple developmental regulators, and we found novel roles of ETHYLENE RESPONSE FACTOR 115 and PLETHORA3 (PLT3), PLT5, and PLT7 in callus generation. All together, these results provide novel mechanistic insights into how wounding reactivates cell proliferation during callus formation.
Keyphrases
- cell cycle
- cell proliferation
- transcription factor
- rna seq
- single cell
- poor prognosis
- gene expression
- genome wide
- arabidopsis thaliana
- stem cells
- type diabetes
- high resolution
- adipose tissue
- electronic health record
- big data
- pi k akt
- genome wide identification
- long non coding rna
- artificial intelligence
- stress induced
- data analysis