Nonimmune neonatal anemias

No abstract available

Theory and data for simulating fine-scale human movement in an urban environment

Individual-based models of infectious disease transmission depend on accurate quantification of fine-scale patterns of human movement. Existing models of movement either pertain to overly coarse scales, simulate some aspects of movement but not others, or were designed specifically for populations in developed countries. Here, we propose a generalizable framework for simulating the locations that an individual visits, time allocation across those locations, and population-level variation therein. As a case study, we fit alternative models for each of five aspects of movement (number, distance from home and types of locations visited; frequency and duration of visits) to interview data from 157 residents of the city of Iquitos, Peru. Comparison of alternative models showed that location type and distance from home were significant determinants of the locations that individuals visited and how much time they spent there. We also found that for most locations, residents of two neighbourhoods displayed indistinguishable preferences for visiting locations at various distances, despite differing distributions of locations around those neighbourhoods. Finally, simulated patterns of time allocation matched the interview data in a number of ways, suggesting that our framework constitutes a sound basis for simulating fine-scale movement and for investigating factors that influence it

Specific polyclonal antibodies for the obligate plant parasite Polymyxa - a targeted recombinant DNA approach

Highly specific rabbit polyclonal antibodies for the obligate sugar-beet root parasite, Polymyxa betae, were produced using a novel recombinant DNA approach. Parasite cDNA was selectively isolated from infected roots, expressed in vitro, and the purified protein used to raise antibodies. This produced clean, precisely targeted antibodies, and allowed for rigorous screening of candidate genes and their products at the molecular level prior to animal immunization. This approach selects for genes whose products are highly expressed by the parasite in planta, and five such candidate genes from Polymyxa betae were identified and cloned. Polyclonal antiserum developed using the product of one such gene was found to react specifically with P. betae in sugar-beet roots and with the closely related Polymyxa graminis in barley roots, and to cross-react with Plasmodiophora brassicae in cabbage roots, without the need for further purification. No cross-reaction was detected with protein extracts from potato roots infected by the plasmodiophoromycete Spongospora subterranea. In all cases, there was no interaction with proteins from host plants, or from other microorganisms found in association with uninoculated sugar-beet, barley, cabbage and potato rootsPeer reviewe

Regional to global assessments of phytoplankton dynamics from the SeaWiFS mission

Photosynthetic production of organic matter by microscopic oceanic phytoplankton fuels ocean ecosystems and contributes roughly half of the Earth's net primary production. For 13 years, the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) mission provided the first consistent, synoptic observations of global ocean ecosystems. Changes in the surface chlorophyll concentration, the primary biological property retrieved from SeaWiFS, have traditionally been used as a metric for phytoplankton abundance and its distributionlargely reflects patterns in vertical nutrient transport. On regional to global scales, chlorophyll concentrations covary with sea surface temperature (SST) because SST changes reflect light and nutrient conditions. However, the oceanmay be too complex to be well characterized using a single index such as the chlorophyll concentration. A semi-analytical bio-optical algorithm is used to help interpret regional to global SeaWiFS chlorophyll observations from using three independent, well-validated ocean color data products; the chlorophyll a concentration, absorption by CDM and particulate backscattering.First, we show that observed long-term, global-scale trends in standard chlorophyll retrievals are likely compromised by coincident changes in CDM. Second, we partition the chlorophyll signal into a component due to phytoplankton biomass changes and a component caused by physiological adjustments in intracellular chlorophyll concentrations to changes in mixed layer light levels. We show that biomass changes dominate chlorophyll signals for the high latitude seas and where persistent vertical upwelling is known to occur, while physiological processes dominate chlorophyll variability over much of the tropical and subtropical oceans. The SeaWiFS data set demonstrates complexity in the interpretation of changes in regional to global phytoplankton distributions and illustrates limitations for the assessment of phytoplankton dynamics using chlorophyll retrievals alone