22 research outputs found

    CULTIVO DE PLEUROTUS OSTREATOROSEUS (BASIDIOMYCOTA - FUNGI) EM RESÍDUO DE TABACO

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    O objetivo deste experimento foi verificar a capacidade de crescimento micelial das cepas das espécies de P. ostreatoroseus em meio de cultura convencional BDA (batata-dextrose-ágar) e AET (ágar-extrato de fumo) na ausência de luz, a fim de verificar a rentabilidade no preparo do meio de cultivo alternativo utilizando resíduos de tabaco. O experimento foi desenvolvido nos laboratórios da UNIPAMPA. Para o preparo do meio convencional pesou-se 39g de BDA para 1L de água destilada, para o meio AET ferveu-se por 30 min 1 kg de resíduo de tabaco para 10L de água e do produto da fervura utilizou-se 1L para 39g de BDA, os dois meios tiveram o pH ajustados para 6 e 6,5. Em seguida, foram autoclavados por 20 min a 121 ºC. Com os resultados citados acima se pode considerar o resíduo de tabaco como um meio de cultivo para cogumelos comestíveis

    Encapsulation into Stealth Liposomes Enhances the Antitumor Action of Recombinant Cratylia mollis Lectin Expressed in Escherichia coli

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    This study evaluated the in vivo antitumor potential of new recombinant lectin from seeds of Cratylia mollis (rCramoll) expressed in Escherichia coli, free or encapsulated in stealth liposomes, using mice transplanted with sarcoma 180. rCramoll-loaded stealth liposomes (rCramoll-lipo) were formulated by hydration of the lipid film followed by cycles of freezing and thawing, and about 60% of rCramoll was encapsulated. This novel preparation showed particle size, polydispersity index, and pH suitable for the evaluation of antitumor activity in vivo. Tumor growth inhibition rates were 68% for rCramoll and 80% for rCramoll-lipo. Histopathological analysis of the experimental groups showed that both free and encapsulated lectin caused no changes in the kidneys of animals. Hematological analysis revealed that treatment with rCramoll-lipo significantly increased leukocyte concentration when compared with the untreated and pCramoll group. In conclusion, the encapsulation of rCramoll in stealth liposomes improves its antitumor activity without substantial toxicity; this approach was more successful than the previous results reported for pCramoll loaded into conventional liposomes. At this point, a crucial difference between the antitumor action of free and encapsulated rCramoll was found along with their effects on immune cells. Further investigations are required to elucidate the mechanism(s) of the antitumor effect induced by rCramoll

    Bryophilous Agaricomycetes (Fungi, Basidiomycota): A Review to Brazil

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    Bryophilous fungi have at least one stage of its life cycle linked to Bryophytes. There are few studies in relation to their taxonomy and ecology all around the world, including Brazil. The Agaricomycetes (Basidiomycota) have gained prominence worldwide and contained several species of economic interest. Based on a bibliographic review and discussion about identification methods and experimental models on this association a species list of bryophilous/Agaricomycetes found in Brazil was elaborated. In the works found among the techniques used to identify effective fungi/Bryophytes associations it can be cited: phylogenetics analysis, optical and electron microscopy, and cultivation experiments. In Brazil, four orders of Agaricomycetes (Basidiomycota), belonging to Agaricales, Boletales, Hymenochaetales, and Polyporales, with 33 species were found associated to Bryophytes in the literature. Information of the worldwide distribution of Brazilian muscicolous species and application of these groups were realized associating edibility, toxicity, and others. It was noted that in this country there is a scarcity of scientific knowledge of this subject, that needs to be better understood in terms of ecology and taxonomy

    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

    The Gaia mission

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    Gaia is a cornerstone mission in the science programme of the EuropeanSpace Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was changed to a direct-imaging approach. Both the spacecraft and the payload were built by European industry. The involvement of the scientific community focusses on data processing for which the international Gaia Data Processing and Analysis Consortium (DPAC) was selected in 2007. Gaia was launched on 19 December 2013 and arrived at its operating point, the second Lagrange point of the Sun-Earth-Moon system, a few weeks later. The commissioning of the spacecraft and payload was completed on 19 July 2014. The nominal five-year mission started with four weeks of special, ecliptic-pole scanning and subsequently transferred into full-sky scanning mode. We recall the scientific goals of Gaia and give a description of the as-built spacecraft that is currently (mid-2016) being operated to achieve these goals. We pay special attention to the payload module, the performance of which is closely related to the scientific performance of the mission. We provide a summary of the commissioning activities and findings, followed by a description of the routine operational mode. We summarise scientific performance estimates on the basis of in-orbit operations. Several intermediate Gaia data releases are planned and the data can be retrieved from the Gaia Archive, which is available through the Gaia home page. http://www.cosmos.esa.int/gai

    Bancos retêm créditos já aprovados e Estados interrompem obras

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    Obras paralisadas pelo governo mineiro em trecho da rodovia MG-437, entre os municípios de Sabará e Nova Lim
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