The influence of the conservation status and changes in the rainfall regime on forest-savanna mosaic dynamics in Northern Brazilian Amazonia / Influência do status de conservação e da variação da precipitação na dinâmica de mosaicos floresta-savana ao norte da Amazônia Brasileira

Coupled carbon/climate models are predicting changes in Amazon carbon and water cycles for the near future, with conversion of forest into savanna-like vegetation. However, empirical data to support these models are still scarce for Amazon. Facing this scenario, we investigated whether conservation status and changes in rainfall regime have influenced the forest-savanna mosaic over 20 years, from 1986 to 2006, in a transitional area in Northern Amazonia. By applying a spectral linear mixture model to a Landsat-5-TM time series, we identified protected savanna enclaves within a strictly protected nature reserve (Maracá Ecological Station - MES) and non-protected forest islands at its outskirts and compared their areas among 1986/1994/2006. The protected savanna enclaves decreased 26% in the 20-years period at an average rate of 0.131 ha year-1, with a greater reduction rate observed during times of higher precipitation, whereas the non-protected forest islands remained stable throughout the period of study, balancing the encroachment of forests into the savanna during humid periods and savannization during reduced rainfall periods. Thus, keeping favorable climate conditions, the MES conservation status would continue to favor the forest encroachment upon savanna, while the non-protected outskirt areas would remain resilient to disturbance regimes. However, if the increases in the frequency of dry periods predicted by climate models for this region are confirmed, future changes in extension and directions of forest limits will be affected, disrupting ecological services as carbon storage and the maintenance of local biodiversity.

Modelos acoplados carbono/clima prenunciam mudanças nos ciclos do carbono e da água em um futuro próximo, substituindo gradualmente florestas tropicais por savanas. No entanto, dados empíricos que dão suporte a estes modelos ainda são escassos para a Amazônia. Diante deste cenário, investigamos se o status de conservação e as variações de precipitação influenciaram as mudanças ocorridas em 20 anos nos mosaicos floresta-savana, em uma área de transição ao norte da Amazônia. Utilizando imagens-fração do modelo de mistura aplicado à série temporal Landsat-5TM, enclaves de savana protegidos da Estação Ecológica de Maracá e ilhas de mata não protegidas do seu entorno foram identificados e suas áreas comparadas entre os anos 1986, 1994 e 2006. Os enclaves protegidos contraíram 26% em 20 anos a uma taxa média de 0,131 ha ano-1, com maiores taxas de retração em períodos de maior precipitação. As ilhas de mata não protegidas permaneceram estáveis no período total amostrado, porém com avanço de florestas sobre savanas em períodos mais úmidos e savanização em períodos mais secos. Mantendo-se as condições climáticas favoráveis, o status de conservação da Estação Ecológica Maracá continuará favorecendo o avanço de florestas e as áreas não protegidas permanecerão resilientes aos distúrbios. Porém, confirmada a tendência de aumento da frequência de eventos climáticos de seca prevista pelos modelos climáticos para essa região, a extensão e direção de mudanças futuras dos limites florestais serão afetadas, comprometendo os serviços ecológicos como a estocagem de carbono e a manutenção da biodiversidade local.

Using multidimensional projection techniques for reaching a high distinguishing ability in biosensing.

Recent advances in the control of molecular engineering architectures have allowed unprecedented ability of molecular recognition in biosensing, with a promising impact for clinical diagnosis and environment control. The availability of large amounts of data from electrical, optical, or electrochemical measurements requires, however, sophisticated data treatment in order to optimize sensing performance. In this study, we show how an information visualization system based on projections, referred to as Projection Explorer (PEx), can be used to achieve high performance for biosensors made with nanostructured films containing immobilized antigens. As a proof of concept, various visualizations were obtained with impedance spectroscopy data from an array of sensors whose electrical response could be specific toward a given antibody (analyte) owing to molecular recognition processes. In addition to discussing the distinct methods for projection and normalization of the data, we demonstrate that an excellent distinction can be made between real samples tested positive for Chagas disease and Leishmaniasis, which could not be achieved with conventional statistical methods. Such high performance probably arose from the possibility of treating the data in the whole frequency range. Through a systematic analysis, it was inferred that Sammon's mapping with standardization to normalize the data gives the best results, where distinction could be made of blood serum samples containing 10(-7) mg/mL of the antibody. The method inherent in PEx and the procedures for analyzing the impedance data are entirely generic and can be extended to optimize any type of sensor or biosensor.

Biosensors for efficient diagnosis of leishmaniasis: innovations in bioanalytics for a neglected disease.

The need for reliable, fast diagnostics is closely linked to the need for safe, effective treatment of the so-called "neglected" diseases. The list of diseases with no field-adapted diagnostic tools includes leishmaniasis, shigella, typhoid, and bacterial meningitis. Leishmaniasis, in particular, is a parasitic disease caused by Leishmania spp. transmitted by infected phlebotomine sandfly, which remains a public health concern in developing countries with ca. 12 million people infected and 350 million at risk of infection. Despite several attempts, methods for diagnosis are still noneffective, especially with regard to specificity due to false positives with Chagas' disease caused by Trypanosoma cruzi . Accepted golden standards for detecting leishmaniasis involve isolation of parasites either microscopically, or by culture, and in both methods specimens are obtained by invasive means. Here, we show that efficient distinction between cutaneous leishmaniasis and Chagas' disease can be obtained with a low-cost biosensor system made with nanostructured films containing specific Leishmania amazonensis and T. cruzi antigens and employing impedance spectroscopy as the detection method. This unprecedented selectivity was afforded by antigen-antibody molecular recognition processes inherent in the detection with the immobilized antigens, and by statistically correlating the electrical impedance data, which allowed distinction between real samples that tested positive for Chagas' disease and leishmaniasis. Distinction could be made of blood serum samples containing 10(-5) mg/mL of the antibody solution in a few minutes. The methods used here are generic and can be extended to any type of biosensor, which is important for an effective diagnosis of many other diseases.

Use of proteoliposome as a vaccine against Trypanosoma cruzi in mice.

We have generated proteoliposomes carrying proteins of Trypanosoma cruzi for use as immunogens in BALB/c mice. T. cruzi trypomastigote and amastigote forms were sonicated and mixed with SDS, with 94% recovery of soluble proteins. To prepare proteoliposomes, we have used a protocol in which dipalmitoylphosphatidylcholine, dipalmitoyl-phosphatidylserine and cholesterol were incubated with the parasite proteins. BALB/c mice immunized with 20microg were able to generate antibodies which, in Western blotting, reacted with the proteins of T. cruzi. We further investigated the ability of peritoneal cells from immunized mice to arrest the intracellular replication of trypomastigotes, in vitro. After 72h of culture, the number of intracellular parasites in immunized macrophages decreased significantly, as compared to controls. Despite the fact that exposure of mice to T. cruzi proteins incorporated into proteoliposomes generate antibodies and activate macrophages, the immunized mice were not protected against T. cruzi intraperitoneal challenge.

Mimetic membrane system to carry multiple antigenic proteins from Leishmania amazonensis.

Liposomes have long been used as models for lipid membranes and for the reconstitution of a single or multiple proteins. Also, liposomes have adjuvant activity in vaccines against several protozoan or bacterial organisms. Thus, the main objective of the present study was to obtain a crude extract of detergent-solubilized proteins of Leishmania amazonensis amastigotes and reconstitute them into liposomes. Neutral and zwiterionic detergents were less efficient than an ionic detergent. In order to obtain efficient solubilization using only sodium dodecyl sulfate (SDS), the effects of detergent and protein concentration and incubation time were studied. The maximum of solubilized proteins was obtained instantaneously using a ratio of 0.5 mg/ml of protein to 0.1% (w/v) detergent at 4 degrees C. Dipalmitoylphosphatidylcholine (DPPC), dipalmitoylphosphatidylserine (DPPS) and cholesterol in a weight ratio of 5:1:4 were used for protein reconstitution into liposomes using the cosolubilization method, yielding 60% of incorporation. The incorporation of multiple parasite proteins results in a vesicular diameter of proteoliposomes of about 140 nm, presenting a final lipid weight ratio for DPPC, DPPS and cholesterol of 1:1:5, with high stability. The detergent-solubilized proteins of L. amazonensis amastigotes present in the proteoliposome, when analyzed by SDS-polyacrylamide gel electrophoresis, include a wide range of parasite-incorporated proteins. BALB/c mice inoculated with these proteoliposomes were able to produce antibodies against the proteins reconstituted in DPPC:DPPS:cholesterol liposomes and were partially resistant to infection with L. amazonensis promastigotes. These results indicate that this system can be used as a possible vaccine against L. amazonensis.