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Publikationen - Stress- und Entwicklungsbiologie

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Preprints

Vainonen, J. P.; Shapiguzov, A.; Krasensky-Wrzaczek, J.; De Masi, R.; Gossens, R.; Danciu, I.; Battchikova, N.; Jonak, C.; Wirthmueller, L.; Wrzaczek, M.; Kangasjärvi, J.; Arabidopsis Poly(ADP-ribose)-binding protein RCD1 interacts with Photoregulatory Protein Kinases in nuclear bodies bioRxiv (2020) DOI: 10.1101/2020.07.02.184937

Continuous reprograming of gene expression in response to environmental signals in plants is achieved through signaling hub proteins that integrate external stimuli and transcriptional responses. RADICAL-INDUCED CELL DEATH1 (RCD1) functions as a nuclear hub protein, which interacts with a variety of transcription factors with its C-terminal RST domain and thereby acts as a co-regulator of numerous plant stress reactions. Here a previously function for RCD1 as a novel plant PAR reader protein is shown; RCD1 functions as a scaffold protein, which recruits transcription factors to specific locations inside the nucleus in PAR-dependent manner. The N-terminal WWE- and PARP-like domains of RCD1 bind poly(ADP-ribose) (PAR) and determine its localization to nuclear bodies (NBs), which is prevented by chemical inhibition of PAR synthesis. RCD1 also binds and recruits Photoregulatory Protein Kinases (PPKs) to NBs. The PPKs, which have been associated with circadian clock, abscisic acid, and light signaling pathways, phosphorylate RCD1 at multiple sites in the intrinsically disordered region between the WWE- and PARP-like-domains, which affects the stability and function of RCD1 in the nucleus. Phosphorylation of RCD1 by PPKs provides a mechanism where turnover of a PAR-binding transcriptional co-regulator is controlled by nuclear phosphorylation signaling pathways.
Preprints

Teh, O.-K.; Lee, C.-W.; Ditengou, F. A.; Klecker, T.; Furlan, G.; Zietz, M.; Hause, G.; Eschen-Lippold, L.; Hoehenwarter, W.; Lee, J.; Ott, T.; Trujillo, M.; Phosphorylation of the exocyst subunit Exo70B2 contributes to the regulation of its function bioRxiv (2018) DOI: 10.1101/266171

The exocyst is a conserved hetero-octameric complex that mediates early tethering of post-Golgi vesicles during exocytosis. Its Exo70 subunit functions as a spatiotemporal regulator by mediating numerous interactions with proteins and lipids. However, a molecular understanding of the exocyst functions remains challenging. Exo70B2 localized to dynamic foci at the plasma membrane and transited through Brefeldin A (BFA)-sensitive compartments, indicating that it participates in conventional secretion. Conversely, treatment with the immunogenic peptide flg22 or the salicylic acid (SA) defence hormone analogue Benzothiadiazole (BTH), induced Exo70B2 transport into the vacuole where it colocalized with autophagic markers AUTOPHAGY-RELATED PROTEIN 8 (ATG8) and NEIGHBOR OF BRCA1 GENE 1 (NBR1). According with its role in immunity, we discovered that Exo70B2 interacts with and is phosphorylated by the MITOGEN-ACTIVATED PROTEIN KINASE 3 (MPK3). Mimicking phosphorylation inhibited Exo70B2 localization at sites of active secretion. By contrast, lines expressing phosphonull variants displayed higher Effector-Triggered Immunity and were hypersensitive to BTH, conditions known to induce the secretory pathway. Our results suggest a molecular mechanism by which phosphorylation of Exo70B2 regulates interaction with the plasma membrane, and couples the secretory pathway with cellular signalling.
Preprints

Thum, A.; Mönchgesang, S.; Westphal, L.; Lübken, T.; Rosahl, S.; Neumann, S.; Posch, S.; Supervised Penalized Canonical Correlation Analysis arXiv (2014)

The canonical correlation analysis (CCA) is commonly used to analyze data sets with paired data, e.g. measurements of gene expression and metabolomic intensities of the same experiments. This allows to find interesting relationships between the data sets, e.g. they can be assigned to biological processes. However, it can be difficult to interpret the processes and often the relationships observed are not related to the experimental design but to some unknown parameters.Here we present an extension of the penalized CCA, the supervised penalized approach (spCCA), where the experimental design is used as a third data set and the correlation of the biological data sets with the design data set is maximized to find interpretable and meaningful canonical variables. The spCCA was successfully tested on a data set of Arabidopsis thaliana with gene expression and metabolite intensity measurements and resulted in eight significant canonical variables and their interpretation. We provide an R-package under the GPL license.
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