Sialic acid mediated transcriptional modulation of a highly conserved sialometabolism gene cluster in <Emphasis Type="Italic">Haemophilus influenzae</Emphasis> and its effect on virulence

Background  

Sialic acid has been shown to be a major virulence determinant in the pathogenesis of otitis media caused by the bacterium Haemophilus influenzae. This study aimed to characterise the expression of genes required for the metabolism of sialic acid and to investigate the role of these genes in virulence.     

Modeling the influence of nutrients, turbulence and grazing on Pfiesteria population dynamics

A semi-idealized marine ecosystem model, designed as a heuristic tool for exploring the population dynamics of non-inducible versus toxic forms of Pfiesteria is described. The model is based on empirical evidence suggesting that these differing functional types of Pfiesteria also differ substantially in terms of what they eat and how they utilize it to optimize their growth. Non-inducible strains are similar to other mixotrophic dinoflagellates, whereas toxic strains may consume organic matter and detritus, produce toxins and attack fish. In our model formulation we represent these differences in a simplified way: the non-inducible strain is kleptochloroplastidic and it can take up DIN, but it cannot utilize DON, whereas the toxic strain is heterotrophic, it cannot utilize DIN, but it can utilize DON directly. These differences give rise to very different impacts on prey and nutrient concentrations in our model. Under high DIN/DON ratio conditions, the non-inducible cells grew much faster and were therefore more likely to bloom, but this advantage is substantially mitigated when the DIN/DON ratio is low. A turbulence parameterization was also incorporated into our model. The effect of this was to reduce the grazing rate of Pfiesteria when turbulence levels are high. According to our model, increased turbulence is more detrimental to the toxic functional type because it grows more slowly. The further imposition of microzooplankton grazing in the model showed that top-down control effects can be very significant, which is consistent with both laboratory and field studies and the general idea that plankton blooms can only happen in the absence of substantial grazing control. In general, our model results suggest that non-toxic blooms are more likely to occur in more turbulent inorganic-nutrient rich conditions, which are often found in more open coastal and estuarine waters that are subject to high inorganic loading. In contrast, toxic blooms are more likely to occur in calm, organic-nutrient rich conditions, which are often found in shallow, protected tributaries that are subject to high organic nutrient loading. Our model results also support the idea that the absence of strong grazing pressure is a prerequisite to bloom formation for both non-inducible and toxic strains of Pfiesteria. These results are generally consistent with observed patterns of toxic Pfiesteria blooms in Chesapeake Bay, the Neuse River of North Carolina and many other coastal and estuarine environments.     

Mass spectrometric analysis of formalin-fixed paraffin-embedded tissue: unlocking the proteome within

The predominance of tissues stored worldwide in hospitals and clinical laboratories exist in formalin-fixed paraffin-embedded (FFPE) blocks that are generated by simple and well-established protocols. Although generation of FFPE tissues has facilitated their characterization by such techniques as histopathology, they have proven refractory to biomarker discovery investigations using state-of-the-art MS-based proteomic methodologies. Very recently new methods have been developed that enable proteins extracted from FFPE tissues to be analyzed by MS. This review will highlight and discuss those efforts that have led to this exciting recent progress. Although these developments are quite new, the ability to conduct MS-based proteomic analyses of FFPE tissues opens heretofore intractable clinical samples for discovery-based biomarker research.     

Advanced computing for systems biology

Systems biology is based on computational modelling and simulation of large networks of interacting components. Models may be intended to capture processes, mechanisms, components and interactions at different levels of fidelity. Input data are often large and geographically disperse, and may require the computation to be moved to the data, not vice versa. In addition, complex system-level problems require collaboration across institutions and disciplines. Grid computing can offer robust, scaleable solutions for distributed data, compute and expertise. We illustrate some of the range of computational and data requirements in systems biology with three case studies: one requiring large computation but small data (orthologue mapping in comparative genomics), a second involving complex terabyte data (the Visible Cell project) and a third that is both computationally and data-intensive (simulations at multiple temporal and spatial scales). Authentication, authorisation and audit systems are currently not well scalable and may present bottlenecks for distributed collaboration particularly where outcomes may be commercialised. Challenges remain in providing lightweight standards to facilitate the penetration of robust, scalable grid-type computing into diverse user communities to meet the evolving demands of systems biology.     

Manganese peroxidase from the white-rot fungus Phanerochaete chrysosporium is enzymatically active and accumulates to high levels in transgenic maize seed

Manganese peroxidase (MnP) has been implicated in lignin degradation and thus has potential applications in pulp and paper bleaching, enzymatic remediation and the textile industry. Transgenic plants are an emerging protein expression platform that offer many advantages over traditional systems, in particular their potential for large-scale industrial enzyme production. Several plant expression vectors were created to evaluate the accumulation of MnP from the wood-rot fungus Phanerochaete chrysosporium in maize seed. We showed that cell wall targeting yielded full-length MnP, whereas cytoplasmic localization resulted in multiple truncated peroxidase polypeptides as detected by immunoblot analysis. In addition, the use of a seed-preferred promoter dramatically increased the expression levels and reduced the negative effects on plant health. Multiple independent transgenic lines were backcrossed with elite inbred corn lines for several generations with the maintenance of high-level expression, indicating genetic stability of the transgene.     

Gross mineralization and plant N uptake from animal manures under non-N limiting conditions, measured using 15N isotope dilution techniques

To utilise wisely the manure resource, a better understanding of the processes that control the breakdown of organic N to inorganic N (mineralization) is required. ¹⁵N isotope dilution techniques should allow estimates of plant N uptake and gross mineralization from organic manures under non-N limiting conditions to be made. In natural systems the study of organic nitrogen breakdown to inorganic nitrogen, mineralization, is confounded by the processes of nitrification, nitrate leaching, gaseous N losses and plant N uptake. The ¹⁵N isotope dilution approach allows measurement of gross mineralization independently of these processes. Greenhouse experiments were conducted to determine plant N uptake from organic manures under non-N limiting conditions using the soil pre-labelling isotope dilution approach. The soil was pre-labelled with ¹⁵N and maize plants were then grown on the control treatments (no organic amendment) or on the manure treatments. The principle is thus that the control crop has a ¹⁵N abundance which reflects the ¹⁵N status of the soil and the treatment crop has a ¹⁵N enrichment diluted by the contribution of mineralized unlabelled manure N. Using this technique, it was estimated that maize plants derived 17 and 34% of their N from sewage sludge and turkey manure, respectively. The soil pre-labelling isotope dilution approach allowed yield-independent estimation of nitrogen derived from manures under non-N limiting conditions. Estimates of gross N mineralization were made to determine the breakdown of manure under field conditions. Results suggested that there was a rapid mineralization of turkey manure N in the initial weeks after application, in the order of 50 kg N ha^?1, which tailed off in the following weeks. The technique suggested that the soil used in the study had an extremely low basal mineralization rate, and a high nitrification rate.     

Experimental whole‐stream warming alters community size structure

How ecological communities respond to predicted increases in temperature will determine the extent to which Earth's biodiversity and ecosystem functioning can be maintained into a warmer future. Warming is predicted to alter the structure of natural communities, but robust tests of such predictions require appropriate large‐scale manipulations of intact, natural habitat that is open to dispersal processes via exchange with regional species pools. Here, we report results of a two‐year whole‐stream warming experiment that shifted invertebrate assemblage structure via unanticipated mechanisms, while still conforming to community‐level metabolic theory. While warming by 3.8 °C decreased invertebrate abundance in the experimental stream by 60% relative to a reference stream, total invertebrate biomass was unchanged. Associated shifts in invertebrate assemblage structure were driven by the arrival of new taxa and a higher proportion of large, warm‐adapted species (i.e., snails and predatory dipterans) relative to small‐bodied, cold‐adapted taxa (e.g., chironomids and oligochaetes). Experimental warming consequently shifted assemblage size spectra in ways that were unexpected, but consistent with thermal optima of taxa in the regional species pool. Higher temperatures increased community‐level energy demand, which was presumably satisfied by higher primary production after warming. Our experiment demonstrates how warming reassembles communities within the constraints of energy supply via regional exchange of species that differ in thermal physiological traits. Similar responses will likely mediate impacts of anthropogenic warming on biodiversity and ecosystem function across all ecological communities.     

Clusters of genes encoding mouse transplantation antigens

We constructed a cosmid library from BALB/c mouse sperm DNA and isolated 64 cosmid clones with cDNA probes for transplantation antigens (class I molecules). Of these clones, 54 mapped into 13 gene clusters containing 36 distinct class I genes and encompassing 837 kilobases of DNA. One gene cluster mapped to the L region and a second cluster with seven genes to the Qa-2,3 region of the major histocompatibility complex. Restriction map and Southern blot analyses suggest that there are subgroups of class I genes. Using a 5' flanking sequence of the L gene as a hybridization probe, we show the L gene to be present in mouse strains expressing this antigen but deleted or mutated in strains failing to express it. Our data suggest that gene duplication and deletion presumably by homologous but unequal crossing-over has altered the size and organization of the class I clusters in different mouse strains and probably is an important mechanism for generating polymorphism in these genes. Analysis of the 36 class I genes with cDNA probes specific for the 5' and 3' ends shows that the exon encoding the third external domain is far more conserved than those encoding the first and second external domains of the transplantation antigen. These differences in variability have interesting functional implications.     

Specific-primer-directed DNA sequencing

A simple and rapid strategy for DNA sequence analysis based on the Sanger chain-termination method is described. This procedure utilizes full-sized inserts of 1 to 4 kb of DNA cloned into M13 bacteriophage vectors. After the sequence of the first 600-650 bp of the insert DNA has been determined with the commercially available universal vector primer, a specific oligonucleotide is synthesized utilizing the sequence data obtained from the 3' end of the sequence and used as a primer to extend the sequence analysis for another 600-650 nucleotides. Additional primers are synthesized in a similar manner until the nucleotide sequence of the entire insert DNA has been determined. General guidelines for the selection of oligonucleotide length and composition and the use of unpurified primers are discussed. The use of the specific-primer-directed approach to dideoxynucleotide sequence analysis, in association with highly purified single-stranded template DNA, reduces considerably the time required for the analysis of large segments of DNA.