Characterisation of ZG16p, a unique mammalian lectin from pancreatic zymogen granules

The mechanisms of secretory granule biogenesis and regulated secretion of digestive enzymes in pancreatic acinar cells are still not well understood. To shed light on these processes, which are of biological and clinical importance (e.g., pancreatitis), a better molecular understanding of the components of the granule membrane, their functions and interactions is required. The application of proteomics has largely contributed to the identification of novel zymogen granule (ZG) proteins but was not yet accompanied by a better characterization of their functions. In this study we aimed at a) isolation and identification of novel membrane-associated ZG proteins; b) characterization of the biochemical properties and function of the secretory lectin ZG16p, a membrane-associated protein; c) exploring the potential of ZG16p as a new tool to label the endolysosomal compartment. First, we have performed a suborganellar proteomics approach by combining protein analysis by 2D-PAGE and identification by mass spectrometry, which has led to the identification of novel peripheral ZGM proteins with proteoglycan-binding properties (e.g., chymase, PpiB). Then, we have unveiled new molecular properties and (multiple) functions of the secretory lectin ZG16p. ZG16p is a unique mammalian lectin with glycan and proteoglycan binding properties. Here, I revealed for the first time that ZG16p is highly protease resistant by developing an enterokinase-digestion assay. In addition I revealed that ZG16p binds to a high molecular weight complex at the ZGM (which is also protease resistant) and forms highly stable dimers. In light of these findings I suggest that ZG16p is a key component of a predicted submembranous granule matrix attached to the luminal side of the ZGM that fulfils important functions during sorting and packaging of zymogens. ZG16p, may act as a linker between the matrix and aggregated zymogens due to dimer formation. Furthermore, ZG16p protease resistance might be of higher importance after secretion since it is known that ZG16p binds to pathogenic fungi in the gut. I have further investigated the role of ZG16p binding motifs in its targeting to ZG in AR42J cells, a pancreatic model system. Point mutations of the glycan and the proteoglycan binding motifs did not inhibit the targeting of ZG16p to ZG in AR42J cells. I have also demonstrated that when ZG16p is present in the cytoplasm it interacts with and modulates the endo-lysosomal compartment. Since it is known that impaired autophagy due to lysosomal malfunction is involved in the course of pancreatitis, a potential role of ZG16p in pancreatitis is discussed.

Infection mechanism of Diplodia corticola

Diplodia corticola is regarded as the most virulent fungus involved in cork oak decline, being able to infect not only Quercus species (mainly Q. suber and Q. ilex), but also grapevines (Vitis vinifera) and eucalypts (Eucalyptus sp.). This endophytic fungus is also a pathogen whose virulence usually manifests with the onset of plant stress. Considering that the infection normally culminates in host death, there is a growing ecologic and socio-economic concern about D. corticola propagation. The molecular mechanisms of infection are hitherto largely unknown. Accordingly, the aim of this study was to unveil potential virulence effectors implicated in D. corticola infection. This knowledge is fundamental to outline the molecular framework that permits the fungal invasion and proliferation in plant hosts, causing disease. Since the effectors deployed are mostly proteins, we adopted a proteomic approach. We performed in planta pathogenicity tests to select two D. corticola strains with distinct virulence degrees for our studies. Like other filamentous fungi D. corticola secretes protein at low concentrations in vitro in the presence of high levels of polysaccharides, two characteristics that hamper the fungal secretome analysis. Therefore, we first compared several methods of extracellular protein extraction to assess their performance and compatibility with 1D and 2D electrophoretic separation. TCA-Acetone and TCA-phenol protein precipitation were the most efficient methods and the former was adopted for further studies. The proteins were extracted and separated by 2D-PAGE, proteins were digested with trypsin and the resulting peptides were further analysed by MS/MS. Their identification was performed by de novo sequencing and/or MASCOT search. We were able to identify 80 extracellular and 162 intracellular proteins, a milestone for the Botryosphaeriaceae family that contains only one member with the proteome characterized. We also performed an extensive comparative 2D gel analysis to highlight the differentially expressed proteins during the host mimicry. Moreover, we compared the protein profiles of the two strains with different degrees of virulence. In short, we characterized for the first time the secretome and proteome of D. corticola. The obtained results contribute to the elucidation of some aspects of the biology of the fungus. The avirulent strain contains an assortment of proteins that facilitate the adaptation to diverse substrates and the identified proteins suggest that the fungus degrades the host tissues through Fenton reactions. On the other hand, the virulent strain seems to have adapted its secretome to the host characteristics. Furthermore, the results indicate that this strain metabolizes aminobutyric acid, a molecule that might be the triggering factor of the transition from a latent to a pathogenic state. Lastly, the secretome includes potential pathogenicity effectors, such as deuterolysin (peptidase M35) and cerato-platanin, proteins that might play an active role in the phytopathogenic lifestyle of the fungus. Overall, our results suggest that D. corticola has a hemibiotrophic lifestyle, switching from a biotrophic to a necrotrophic interaction after plant physiologic disturbances.This understanding is essential for further development of effective plant protection measures.

Minimal state-space realizations of 2D convolutional codes

In this thesis we consider two-dimensional (2D) convolutional codes. As happens in the one-dimensional (1D) case one of the major issues is obtaining minimal state-space realizations for these codes. It turns out that the problem of minimal realization of codes is not equivalent to the minimal realization of encoders. This is due to the fact that the same code may admit different encoders with different McMillan degrees. Here we focus on the study of minimality of the realizations of 2D convolutional codes by means of separable Roesser models. Such models can be regarded as a series connection between two 1D systems. As a first step we provide an algorithm to obtain a minimal realization of a 1D convolutional code starting from a minimal realization of an encoder of the code. Then, we restrict our study to two particular classes of 2D convolutional codes. The first class to be considered is the one of codes which admit encoders of type n 1. For these codes, minimal encoders (i.e., encoders for which a minimal realization is also minimal as a code realization) are characterized enabling the construction of minimal code realizations starting from such encoders. The second class of codes to be considered is the one constituted by what we have called composition codes. For a subclass of these codes, we propose a method to obtain minimal realizations by means of separable Roesser models.