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Staphylococcus aureus (SA) causes nosocomial infections including life threatening sepsis by multi-resistant strains (MRSA). It has the ability to form biofilms to protect it from the host immune system and from anti staphylococcal drugs. Biofilm and planctonic life style is regulated by a complex Quorum-Sensing (QS) system with agr as a central regulator. To study biofilm formation and QS mechanisms in SA a Boolean network was build (94 nodes, 184 edges) including two different component systems such as agr, sae and arl. Important proteins such as Sar, Rot and SigB were included as further nodes in the model. System analysis showed there are only two stable states biofilm forming versus planctonic with clearly different subnetworks turned on. Validation according to gene expression data confirmed this. Network consistency was tested first according to previous knowledge and literature. Furthermore, the predicted node activity of different in silico knock-out strains agreed well with corresponding micro array experiments and data sets. Additional validation included the expression of further nodes (Northern blots) and biofilm production compared in different knock-out strains in biofilm adherence assays. The model faithfully reproduces the behaviour of QS signalling mutants. The integrated model allows also prediction of various other network mutations and is supported by experimental data from different strains. Furthermore, the well connected hub proteins elucidate how integration of different inputs is achieved by the QS network. For in silico as well as in vitro experiments it was found that the sae-locus is also a central modulator of biofilm production. Sae knock-out strains showed stronger biofilms. Wild type phenotype was rescued by sae complementation. To elucidate the way in which sae takes influence on biofilm formation the network was used and Venn-diagrams were made, revealing nodes regulated by sae and changed in biofilms. In these Venn-diagrams nucleases and extracellular proteins were found to be promising nodes. The network revealed DNAse to be of great importance. Therefore qualitatively the DNAse amount, produced by different SA mutants was measured, it was tried to dissolve biofilms with according amounts of DNAse and the concentration of nucleic acids, proteins and polysaccharides were measured in biofilms of different SA mutants.
With its thorough validation the network model provides a powerful tool to study QS and biofilm formation in SA, including successful predictions for different knock-out mutant behaviour, QS signalling and biofilm formation. This includes implications for the behaviour of MRSA strains and mutants. Key regulatory mutation combinations (agr–, sae–, sae–/agr–, sigB+, sigB+/sae–) were directly tested in the model but also in experiments. High connectivity was a good guide to identify master regulators, whose detailed behaviour was studied both in vitro and in the model. Together, both lines of evidence support in particular a refined regulatory role for sae and agr with involvement in biofilm repression and/or SA dissemination. With examination of the composition of different mutant biofilms as well as with the examination of the reaction cascade that connects sae to the biofilm forming ability of SA and also by postulating that nucleases might play an important role in that, first steps were taken in proving and explaining regulatory links leading from sae to biofilms. Furthermore differences in biofilms of different mutant SA strains were found leading us in perspective towards a new understanding of biofilms including knowledge how to better regulate, fight and use its different properties.
The three closely related PUB proteins PUB22, PUB23 and PUB24 were described as important regulators for PTI signaling and plant immunity. To find cellular targets regulated by the action of the PUB triplet we performed a yeast two-hybrid screen to identify candidate target proteins of PUB22. We could identify Exo70B2 as a target protein of PUB22, which is ubiquitinated by the E3-ubiquitin ligase and consequently degraded in response to flg22 perception. The importance of Exo70B2 for immunity was shown by reverse genetics, demonstrating that exo70B2 mutants are impaired in PTI signaling and plant immunity.
Exo70B2 is one of 23 homologs of the yeast Exo70p in Arabidopsis thaliana, which is a subunit of an octameric protein complex, termed the exocyst. The exocyst complex is required for the tethering of post-Golgi vesicles to specific target membranes and thus an important component of intracellular vesicle trafficking. The elucidated function of Exo70B2 and its requirement for PTI signaling is a novel finding and similar functions had not yet been described for the exocyst complex or subunits thereof in plants. Additional target proteins of PUB22 are also predicted to be involved in vesicle trafficking processes, suggesting that PUB22 has specialized to regulate trafficking protein complexes required for PTI signaling.
Furthermore, the presented work suggests a mechanism for the regulation of Exo70B2 ubiquitination by PUB22. PUB22 was shown to be intrinsically instable due to its autocatalytic ubiquitination activity. Flg22 treatment induced the rapid post-translational stabilization of PUB22. This potentially enables the ligase to efficiently interact with Exo70B2, resulting in its polyubiquitination and 26S-proteasome-dependent turnover.