Fungal virulence studies come of age

Sophisticated molecular biological research has revealed many virulence attributes in at least four pathogenic fungi, but the future study of fungal virulence requires investigators to distinguish between molecules that directly interact with the host, molecules that regulate these, and molecules that are always required for fungal growth and survival, independent of the host.     

Use of atp6 in fungal phylogenetics: an example from the boletales

Complete nucleotide sequences have been determined for atp6 from Suillus luteus and cox3 from Suillus sinuspaulianus (Boletales, Hymenomycetes, Basidiomycota), which code for ATPase subunit 6 and cytochrome oxidase subunit 3, respectively. These sequences were used to design PCR primers for the amplification of partial atp6 and cox3 sequences from other members of the Boletales and outgroup taxa. In atp6 and cox3 from Russula rosacea, one of the outgroup taxa, we observed a number of in-frame TGA(trp) codons, which imply a Neurospora crassa-type mitochondrial code in R. rosacea and possibly in basidiomycetes in general. Interestingly, however, most basidiomycetes other than R. rosacea appear to strongly prefer the TGG(trp) codon, which is unusual, given the strong A + T bias in fungal mitochondrial genomes. Pairwise comparisons were performed between atp6 sequences from increasingly divergent fungal lineages, and results show that all three codon positions become saturated in substitutions after an estimated divergence time of approx 300 Ma. This means that atp6 is likely to provide phylogenetic resolution within fungal classes but not at higher taxonomic levels. Also, because of the strong A + T bias in fungal mitochondrial genomes, A/T transversions were found to be more common than any other type of substitution, resulting in transversions being about two to three times more common in most pairwise sequence comparisons. Finally, atp6 sequences were used to infer phylogenetic relationships between 27 taxa from the Boletales and 4 outgroup taxa. Analyses were performed (i) on nucleotide sequence data using parsimony (successive approximation) as well as maximum likelihood methods and (ii) on deduced amino acid sequences using distance methods based on empirical substitution probabilities. Results from the various analyses are largely concordant with each other as well as with prior analyses of partial mitochondrial large-subunit rDNA (mtLSU rDNA). Analysis of the combined atp6 and mtLSU rDNA sequences results in increased bootstrap support for several key branches. Relationships that have been resolved for the first time in the current analysis are discussed.     

Use of High-Affinity Cell Wall-Binding Domains of Bacteriophage Endolysins for Immobilization and Separation of Bacterial Cells

Immobilization and magnetic separation for specific enrichment of microbial cells, such as the pathogen Listeria monocytogenes, depends on the availability of suitable affinity molecules. We report here a novel concept for the immobilization and separation of bacterial cells by replacing antibodies with cell wall-binding domains (CBDs) of bacteriophage-encoded peptidoglycan hydrolases (endolysins). These polypeptide modules very specifically recognize and bind to ligands on the gram-positive cell wall with high affinity. With paramagnetic beads coated with recombinant Listeria phage endolysin-derived CBD molecules, more than 90% of the viable L. monocytogenes cells could be immobilized and recovered from diluted suspensions within 20 to 40 min. Recovery rates were similar for different species and serovars of Listeria and were not affected by the presence of other microorganisms. The CBD-based magnetic separation (CBD-MS) procedure was evaluated for capture and detection of L. monocytogenes from artificially and naturally contaminated food samples. The CBD separation method was shown to be superior to the established standard procedures; it required less time (48 h versus 96 h) and was the more sensitive method. Furthermore, the generalizability of the CBD-MS approach was demonstrated by using specific phage-encoded CBDs specifically recognizing Bacillus cereus and Clostridium perfringens cells, respectively. Altogether, CBD polypeptides represent novel and innovative tools for the binding and capture of bacterial cells, with many possible applications in microbiology and diagnostics.     

Can Zipf's law be adapted to normalize microarrays?

Background  

Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for varying organisms and tissues have shown that the majority of expressed genes exhibit a power-law distribution with an exponent close to -1 (i.e. obey Zipf's law). Based on the observation that our single channel and two channel microarray data sets also followed a power-law distribution, we were motivated to develop a normalization method based on this law, and examine how it compares with existing published techniques. A computationally simple and intuitively appealing technique based on this observation is presented.