Cloning and expression analysis of a new hydrophobin cDNA from the ectomycorrhizal basidiomycete Pisolithus.

Hydrophobins are fungal cell wall proteins which play a crucial role in cell adhesion and aggregative processes. We have identified a new hydrophobin cDNA (hydPt-3) in the symbiotic mycelium of Pisolithus tinctorius (putative P. albus) during the formation of ectomycorrhizae around eucalypt roots. This sequence is highly divergent from two other previously identified Pisolithus symbiosis-regulated hydrophobins, hydPt-1 and hydPt-2. Also, expression analyses demonstrated that hydPt-3 is up-regulated during the formation of ectomycorrhizae. In contrast to phytopathogenic fungi, changes in glucose or ammonium concentrations in the growth medium did not influence the accumulation of any Pisolithus hydrophobin mRNAs. This suggests that other factors act as regulators of hydrophobin gene expression in ectomycorrhizae.

Identification of symbiosis-regulated genes in Eucalyptus globulus-Pisolithus tinctorius ectomycorrhiza by differential hybridization of arrayed cDNAs.

Ectomycorrhiza development alters gene expression in the fungal and plant symbionts. The identification of a large number of genes expressed exclusively or predominantly in the symbiosis will contribute greatly to the understanding of the development of the ectomycorrhizal symbiosis. We have constructed a cDNA library of 4-day-old Eucalyptus globulus-Pisolithus tinctorius ectomycorrhiza and sequenced 850 cDNAs cloned randomly or obtained through suppression subtractive hybridization (SSH). Based on the absence of a database match, 43% of the ectomycorrhiza ESTs are coding for novel genes. At the developmental stage analysed (fungal sheath formation), the majority of the identified sequences represented 'housekeeping' proteins, i.e. proteins involved in gene/protein expression, cell-wall proteins, metabolic enzymes, and components of signalling systems. We screened arrayed cDNAs to identify symbiosis-regulated genes by using differential hybridization. Comparisons of signals from free-living partners and symbiotic tissues revealed significant differences in expression levels (differential expression ratio >2.5) for 17% of the genes analysed. No ectomycorrhiza-specific gene was detected. The results successfully demonstrate the use of the cDNA array and SSH systems as general approaches for dissecting symbiosis development, and provide the first global picture of the cellular functions operating in ectomycorrhiza.

A novel class of ectomycorrhiza-regulated cell wall polypeptides in Pisolithus tinctorius.

Development of the ectomycorrhizal symbiosis leads to the aggregation of fungal hyphae to form the mantle. To identify cell surface proteins involved in this developmental step, changes in the biosynthesis of fungal cell wall proteins were examined in Eucalyptus globulus-Pisolithus tinctorius ectomycorrhizas by two-dimensional polyacrylamide gel electrophoresis. Enhanced synthesis of several immunologically related fungal 31- and 32-kDa polypeptides, so-called symbiosis-regulated acidic polypeptides (SRAPs), was observed. Peptide sequences of SRAP32d were obtained after trypsin digestion. These peptides were found in the predicted sequence of six closely related fungal cDNAs coding for ectomycorrhiza up-regulated transcripts. The PtSRAP32 cDNAs represented about 10% of the differentially expressed cDNAs in ectomycorrhiza and are predicted to encode alanine-rich proteins of 28.2 kDa. There are no sequence homologies between SRAPs and previously identified proteins, but they contain the Arg-Gly-Asp (RGD) motif found in cell-adhesion proteins. SRAPs were observed on the hyphal surface by immunoelectron microscopy. They were also found in the host cell wall when P. tinctorius attached to the root surface. RNA blot analysis showed that the steady-state level of PtSRAP32 transcripts exhibited a drastic up-regulation when fungal hyphae form the mantle. These results suggest that SRAPs may form part of a cell-cell adhesion system needed for aggregation of hyphae in ectomycorrhizas.

Cell wall proteins of the ectomycorrhizal basidiomycete Pisolithus tinctorius: identification, function, and expression in symbiosis.

Specific cell-cell and cell-substrate interactions direct the growth of ectomycorrhizal fungi to their host root targets. These elaborate mechanisms lead to the differentiation of distinct multihyphal structures, the mantle, and the Hartig net. In the ectomycorrhizal basidiomycete Pisolithus tinctorius, the use of two-dimensional gel electrophoresis, immunocytochemical microscopy, and RNA blot analysis has demonstrated the differential expression of cell wall proteins (CWPs), such as hydrophobins, adhesins, and mannoproteins, during symbiotic interaction. In other fungi, these CWPs have been suggested to play a role in hyphae aggregation, intracellular signaling cascades, and cytoskeletal changes. The recent cloning of the genes for several of these CWPs in P. tinctorius allows us to address their function in symbiosis. This review summarizes our knowledge of CWPs in P. tinctorius and considers parallels with other biotrophic fungi as a possible framework for future work.

Protein-coding region discovery in organisms underrepresented in databases.

The prediction of coding sequences has received a lot of attention during the last decade. We can distinguish two kinds of methods, those that rely on training with sets of example and counter-example sequences, and those that exploit the intrinsic properties of the DNA sequences to be analyzed. The former are generally more powerful but their domains of application are limited by the availability of a training set. The latter avoid this drawback but can only be applied to sequences that are long enough to allow computation of the statistics. Here, we present a method that fills the gap between the two approaches. A learning step is applied using a set of sequences that are assumed to contain coding and non-coding regions, but with the boundaries of these regions unknown. A test step then uses the discriminant function obtained during the learning to predict coding regions in sequences from the same organism. The learning relies upon a correspondence analysis and prediction is presented on a graphical display. The method has been evaluated on a sample of yeast sequences, and the analysis of a set of expressed sequence tags from the Eucalyptus globulus-Pisolithus tinctorius ectomycorrhiza illustrates the relevance of the approach in its biological context.