The determinants of Chagas disease: connecting parasite and host genetics

As a consequence of infection by Trypanosoma cruzi, 30% of victims may develop chronic Chagas disease, which presents a spectrum of pathology including cardiomyopathy, megacolon and megaesophagus. The outcome of infection in a particular individual is the result of a set of complex interactions among the host genetic background, environmental and social factors, and the genetic composition of the parasite, all of which can be complicated by mixed infections and re-infections. Initially we consider what is known about the genetic structure and biological properties of the protozoan. Currently, six distinct subgroups have been characterized by different combinations of four distinct genotypic classes. The recent demonstration of genetic exchange via non-meiotic cell fusion illustrates a mechanism by which maintained heterogeneous polyploidy may have been generated in these parasites. Subsequently, we consider factors in humans and in experimental mouse-infection and tissue culture models that have contributed to our understanding of the host's susceptibility or resistance to disease. Identification of the direct players in host-pathogen interactions at the establishment and chronic phases of the disease is perhaps the best hope of a clinical handle for treatment. At some point in the future, these disparate areas of study will have to come together. It is to be hoped that this scientific fusion will result in better prognosis and treatment of Chagas disease.     

Remotely Sensed Interannual Variations and Trends in Terrestrial Net Primary Productivity 1981–2000

Spatial and temporal variations in net primary production (NPP) are of great importance to ecological studies, natural resource management, and terrestrial carbon sink estimates. However, most of the existing estimates of interannual variation in NPP at regional and global scales were made at coarse resolutions with climate-driven process models. In this study, we quantified global NPP variation at an 8 km and 10-day resolution from 1981 to 2000 based on satellite observations. The high resolution was achieved using the GLObal Production Efficiency Model (GLO-PEM), which was driven with variables derived almost entirely from satellite remote sensing. The results show that there was an increasing trend toward enhanced terrestrial NPP that was superimposed on high seasonal and interannual variations associated with climate variability and that the increase was occurring in both northern and tropical latitudes. NPP generally decreased in El Niño season and increased in La Niña seasons, but the magnitude and spatial pattern of the response varied widely between individual events. Our estimates also indicate that the increases in NPP during the period were caused mainly by increases in atmospheric carbon dioxide and precipitation. The enhancement of NPP by warming was limited to northern high latitudes (above 50°N); in other regions, the interannual variations in NPP were correlated negatively with temperature and positively with precipitation.     

The Effects of Infrared Loading and Water Table on Soil Energy Fluxes in Northern Peatlands

Increased radiative forcing is an inevitable part of global climate change, yet little is known of its potential effects on the energy fluxes in natural ecosystems. To simulate the conditions of global warming, we exposed peat monoliths (depth, 0.6 m; surface area, 2.1 m²) from a bog and fen in northern Minnesota, USA, to three infrared (IR) loading (ambient, +45, and +90 W m^–2) and three water table (–16, –20, and –29 cm in bog and –1, –10 and –18 cm in fen) treatments, each replicated in three mesocosm plots. Net radiation (Rn) and soil energy fluxes at the top, bottom, and sides of the mesocosms were measured in 1999, 5 years after the treatments had begun. Soil heat flux (G) increased proportionately with IR loading, comprising about 3%–8% of Rn. In the fen, the effect of IR loading on G was modulated by water table depth, whereas in the bog it was not. Energy dissipation from the mesocosms occurred mainly via vertical exchange with air, as well as with deeper soil layers through the bottom of the mesocosms, whereas lateral fluxes were 10–20-fold smaller and independent of IR loading and water table depth. The exchange with deeper soil layers was sensitive to water table depth, in contrast to G, which responded primarily to IR loading. The qualitative responses in the bog and fen were similar, but the fen displayed wider seasonal variation and greater extremes in soil energy fluxes. The differences of G in the bog and fen are attributed to differences in the reflectance in the long waveband as a function of vegetation type, whereas the differences in soil heat storage may also depend on different soil properties and different water table depth at comparable treatments. These data suggest that the ecosystem-dependent controls over soil energy fluxes may provide an important constraint on biotic response to climate change.     

Influence of form IA RubisCO and environmental dissolved inorganic carbon on the delta13C of the clam-chemoautotroph symbiosis Solemya velum

Many nutritive symbioses between chemoautotrophic bacteria and invertebrates, such as Solemya velum, have delta(13)C values of approximately -30 to -35%, considerably more depleted than phytoplankton. Most of the chemoautotrophic symbionts fix carbon with a form IA ribulose 1,5-bisphosphate carboxylase (RubisCO). We hypothesized that this form of RubisCO discriminates against (13)CO(2) to a greater extent than other forms. Solemya velum symbiont RubisCO was cloned and expressed in Escherichia coli, purified and characterized. Enzyme from this recombinant system fixed carbon most rapidly at pH 7.5 and 20-25 degrees C. Surprisingly, this RubisCO had an epsilon-value (proportional to the degree to which the enzyme discriminates against (13)CO(2)) of 24.4 per thousand, similar to form IB RubisCOs, and higher than form II RubisCOs. Samples of interstitial water from S. velum's habitat were collected to determine whether the dissolved inorganic carbon (DIC) could contribute to the negative delta(13)C values. Solemya velum habitat DIC was present at high concentrations (up to approximately 5 mM) and isotopically depleted, with delta(13)C values as low as approximately -6%. Thus environmental DIC, coupled with a high degree of isotopic fractionation by symbiont RubisCO likely contribute to the isotopically depleted delta(13)C values of S. velum biomass, highlighting the necessity of considering factors at all levels (from environmental to enzymatic) in interpreting stable isotope ratios.     

Identification and phylogenetic sorting of bacterial lineages with universally conserved genes and proteins

Molecular characterizations of bacteria often employ ribosomal DNA (rDNA) to establish the identity and relationships among organisms, but the use of rRNA sequences can be problematic as the result of alignment ambiguities caused by indels, the lack of informative characters, and varying functional constraints over the molecule. Although protein-coding regions have been used as an alternative to rRNA, there is neither consensus among the genes examined nor ways to rapidly obtain sequence information for such genes from uncharacterized bacterial species. To standardize the set of protein-coding loci assayed in bacterial genomes, we examined over 100 widely distributed genes to identify sets of universal primers for use in the PCR amplification of protein coding regions that are common to virtually all bacteria. From this set, we developed primer sets that each target of 10 genes spanning an array of genomic locations and functional categories. Although many of the primers contain sequence degeneracies that aid in targeting genes across diverse taxa, most are adequate for direct sequencing of amplification products, thereby eliminating intermediate cloning before sequence determination. We foresee the analysis of these protein-coding regions as being complementary to ribosomal DNA for answering questions pertaining to bacterial identification, classification, phylogenetics and evolution.     

FlyGEM, a full transcriptome array platform for the Drosophila community

We have constructed a DNA microarray to monitor expression of predicted genes in Drosophila. By using homotypic hybridizations, we show that the array performs reproducibly, that dye effects are minimal, and that array results agree with systematic northern blotting. The array gene list has been extensively annotated and linked-out to other databases. Incyte and the NIH have made the platform available to the community via academic microarray facilities selected by an NIH committee.     

Auto-validation of fluorescent primer extension genotyping assay using signal clustering and neural networks

Background

SNP genotyping typically incorporates a review step to ensure that the genotype calls for a particular SNP are correct. For high-throughput genotyping, such as that provided by the GenomeLab SNPstream^® instrument from Beckman Coulter, Inc., the manual review used for low-volume genotyping becomes a major bottleneck. The work reported here describes the application of a neural network to automate the review of results.

Results

We describe an approach to reviewing the quality of primer extension 2-color fluorescent reactions by clustering optical signals obtained from multiple samples and a single reaction set-up. The method evaluates the quality of the signal clusters from the genotyping results. We developed 64 scores to measure the geometry and position of the signal clusters. The expected signal distribution was represented by a distribution of a 64-component parametric vector obtained by training the two-layer neural network onto a set of 10,968 manually reviewed 2D plots containing the signal clusters.

Conclusion

The neural network approach described in this paper may be used with results from the GenomeLab SNPstream instrument for high-throughput SNP genotyping. The overall correlation with manual revision was 0.844. The approach can be applied to a quality review of results from other high-throughput fluorescent-based biochemical assays in a high-throughput mode.