Bridging the gap: Using reservoir ecology and human serosurveys to estimate Lassa virus spillover in West Africa

Forecasting the risk of pathogen spillover from reservoir populations of wild or domestic animals is essential for the effective deployment of interventions such as wildlife vaccination or culling. Due to the sporadic nature of spillover events and limited availability of data, developing and validating robust, spatially explicit, predictions is challenging. Recent efforts have begun to make progress in this direction by capitalizing on machine learning methodologies. An important weakness of existing approaches, however, is that they generally rely on combining human and reservoir infection data during the training process and thus conflate risk attributable to the prevalence of the pathogen in the reservoir population with the risk attributed to the realized rate of spillover into the human population. Because effective planning of interventions requires that these components of risk be disentangled, we developed a multi-layer machine learning framework that separates these processes. Our approach begins by training models to predict the geographic range of the primary reservoir and the subset of this range in which the pathogen occurs. The spillover risk predicted by the product of these reservoir specific models is then fit to data on realized patterns of historical spillover into the human population. The result is a geographically specific spillover risk forecast that can be easily decomposed and used to guide effective intervention. Applying our method to Lassa virus, a zoonotic pathogen that regularly spills over into the human population across West Africa, results in a model that explains a modest but statistically significant portion of geographic variation in historical patterns of spillover. When combined with a mechanistic mathematical model of infection dynamics, our spillover risk model predicts that 897,700 humans are infected by Lassa virus each year across West Africa, with Nigeria accounting for more than half of these human infections.     

Chromosome segregation and expression of rat immunoglobulins in rat/mouse hybrid myelomas

The chromosome segregation of hybrid myelomas from a fusion of rat immunized spleen cells and the mouse myeloma P3-X63-Ag8 has been analysed. Chromosome loss appears to be nonrandom. Most mouse chromosomes are retained. The rat chromosomes are preferentially lost but a few — particularly 1–5 and 13-are rarely lost. The specific retention of some rat chromosomes explains the stability of rat Ig expression in mouse-rat hybrids. Correlation of chromosome loss and retention and loss of rat heavy and light chains leads us to propose chromosome 14 as coding for the heavy chain.     

Production of High Titers of Enterotoxins for the Routine Testing of Staphylococci

The cellophane-over-agar technique has been shown to give high titers of enterotoxins A, B, and C for routine testing of staphylococci for enterotoxigenicity.     

Strategies for farmers and policy makers to control nitro-gen losses whilst maintaining crop production

The nitrogen (N) cycle is essentially 'leaky'. The losses of small amounts of nitrate to waters and of ammonia and nitrous oxide to the atmosphere are a part of the global biogeo-chemical N cycle. However, intensive agricultural production, industry and vehicle use have more than doubled the amount of 'reactive' N in the environment, resulting in eutrophication, ecosystem change and health concerns. Research has identified agricultural practices that cause large losses of N and, in some cases, developed solutions. This paper discusses the problems of maintaining productivity while reducing N losses, compares conventional with low input (integrated) and organic farming systems, and discusses wider options. It also looks at the need to integrate studies on N with other environmental impacts, set in the context of the whole farm system, to provide truly sustainable agricultural systems.     

Indoleacetic acid enhancement of 14C methionine uptake by tomato cell cultures aids assay of pathogen extracts

Incorporation of one micromolar IAA in the assay system increased the rate of ¹⁴C methionine uptake by tomato cells in suspension and effectively differentiated the rates of uptake such that cells treated with pathogenic and non-pathogenic Fusarium extracts could be easily distinguished in a rapid 3 h assay.     

Mouse antibody response to group A streptococcal carbohydrate

In an attempt to more fully understand the generation of antibody diversity to carbohydrate (CHO) Ag, we produced and characterized a panel of hybridoma cell lines specific for group A streptococcal CHO from mice injected with the intact bacteria (minus the hyaluronic acid capsule and cell wall protein Ag). We have analyzed the use of H and L chain V region genes in the early (day 7) and late response (hyperimmune) and have sequenced the dominant VH gene used in several of our hybridomas. Our data allowed us to assess the extent to which the recombination of various V, D, and J gene segments and somatic mutation contribute to antibody diversification in this system. In this report we confirm that a minimum of two VH and four VK gene segments are used to encode this response. We extend this analysis to show that multiple D and J gene segments are used and that a significant amount of junctional variability is tolerated in CDR 3. Our results indicate that the level of somatic mutation in the hyperimmune response is generally low in comparison with the response to haptens and protein Ag. These data also suggest that there is a positive selection for mutation in CDR 1 during the hyperimmune response to group A streptococcal CHO.     

Biochemical properties of SV40 large tumor antigen as a glycosylated protein

The large tumor antigen (T-ag) of SV40 is a virus-encoded polypeptide that provides multiple biological activities required for virus replication and cellular transformation. T-ag is an exceptional model for the study of protein processing, because it displays a variety of chemical modifications and an unusual dual subcellular distribution. The cellular mechanisms responsible for the synthesis and processing of T-ag are unknown. With respect to glycosylation, this has been related to a lack of knowledge of the biochemical properties of T-ag as a glycoprotein. Several such properties are characterized here. We found that T-ag is glycosylated at multiple sites on the polypeptide chain. The oligosaccharides appear to belong to a single size class, molecular weight approximately 400, and the linkage between the polypeptide and the carbohydrate side chain is sensitive to beta-elimination under mild alkaline conditions. At least one glycosylation site was localized to the region between amino acids 1 and 272 (probably between residues 83 and 272), and at least one additional site was localized to a separate region, between amino acids 523 and 708. The results of cycloheximide experiments suggested that glycosylation of T-ag is a cotranslational event, and both the nuclear and the membrane-associated forms of T-ag appeared to be glycosylated. The results of these studies verify previous conclusions that the cellular secretory pathway is not involved in the glycosylation of T-ag; instead, a cytoplasmic mechanism might be involved.     

Genetic characterization of pathogenic Leptospira species by DNA hybridization.

A total of 66 serovars of potentially pathogenic Leptospira species were examined by slot blot hybridization, and 57 of these serovars were classified in six DNA homology groups. In cases in which common serovars were studied, the results were in general agreement with the results of previous workers, who used different DNA homology methods. However, we propose a new species, Leptospira kirschneri, comprising the following serovars: bulgarica, butembo, cynopteri, dania, grippotyphosa, kabura, kambale, ramisi, and tsaratsovo. Seven of these serovars have not had their DNAs studied by other workers.