The Sulfated PSY Peptide Negatively Regulates Receptor Kinase Activity to Promote Growth
Tulio, D. V.; Shigenaga, A. M.; Lim, D.; de Araujo, A. T.; Wu, S.-Z.; Ronald, P. C.; Bezanilla, M.
Show abstract
Complex signaling pathways organize cell expansion and proliferation across cells to pattern tissues and organs in plants. The sulfotyrosine peptide hormone family, PLANT PEPTIDE CONTAINING SULFATED TYROSINE (PSY), contributes to these processes. We identified two plasma membrane-localized receptors, PSYR1 and PSYR2, that are necessary for PSY signaling and regulate growth in Physcomitrium patens. Membrane-associated PSYRs accumulate to high levels in a mutant lacking TYROSYL PROTEIN SULFOTRANSFERASE (TPST). Given that a tpst null mutant ({Delta}tpst) is impaired in sulfation, this suggests that in the absence of sulfated peptides, PSYRs accumulate on the membrane. A null mutant of the PSY receptors, {Delta}psyr1/2, showed increased growth and was epistatic to {Delta}tpst, suppressing defects in gametophore formation and early senescence. The transcriptional profiles comparing wild type to {Delta}psyr1/2 and {Delta}psyr1/2/{Delta}tpst showed 25 to 30 differentially expressed genes between the receptor null mutants and wild type, with a common signature of cell wall remodeling and stress responses. Similarly, a PSYR1 kinase-inactive mutation rescued {Delta}tpst and relieved the accumulation of membrane-associated PSYRs. In contrast, overexpression of PSYRs inhibited plant growth, with phenotypic severity correlating with the amount of overexpression. These data are consistent with a constitutive activation model in which membrane-associated PSYRs unbound to PSY serve to inhibit growth through an active kinase. In the presence of the PSY peptide, the kinase is inactivated, promoting growth and driving PSY expression. The relationship between growth-repressive PSYR kinase activity and growth-promoting PSYR kinase inactivation in P. patens serves as a model for optimizing plant growth and development.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Suberin plasticity to developmental and exogenous cues is regulated by a set of MYB transcription factors 97%
- THESEUS1 modulates cell wall stiffness and abscisic acid production in Arabidopsis thaliana 96%
- Recruitment of an ancient branching program to suppress carpel development in maize flowers 96%
Similar papers in this journal
- CALCIUM-DEPENDENT PROTEIN KINASE32 regulates cellulose biosynthesis through post-translational modification of cellulose synthase 96%
- Arabidopsis PROTODERMAL FACTOR2 binds lysophosphatidylcholines and transcriptionally regulates phospholipid metabolism 95%
- Processes essential for Physcomitrium patens protonemal development require distinct levels of total activity provided by functionally redundant PpROP GTPases 94%
Similar papers in this journal
- Major components in the KARRIKIN INSENSITIVE2-ligand signaling pathway are conserved in the liverwort, Marchantia polymorpha 96%
- Evolutionary variation in MADS-box dimerization affects floral development and protein degradation dynamics in maize 95%
- Conservation and divergence of regulatory architecture in nitrate-responsive plant gene circuits 95%
Similar papers in this journal
- Shade suppresses wound-induced leaf repositioning through a mechanism involving PHYTOCHROME KINASE SUBSTRATE (PKS) genes 95%
- A simple method to efficiently generate structural variation in plants 94%
- Lotus japonicus karrikin receptors display divergent ligand-binding specificities and organ-dependent redundancy 94%
Similar papers in this journal
- Mechanism of nucleus-chloroplast communication by alternative promoter usage and stromules to establish photomorphogenesis in Arabidopsis 96%
- The PELOTA-HBS1 Complex Orchestrates mRNA Translation Surveillance and PDK1-mediated Plant Growth and Development 96%
- Diphthamide formation in Arabidopsis requires DPH1-interacting DPH2 for light and oxidative stress resistance 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.