11 research outputs found

    Avaliação da toxicidade das favas de Stryphnodendron fissuratum (Mimosoideae) em vacas gestantes

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    Com o objetivo de avaliar a toxicidade de diferentes concentrações das favas de Stryphnodendron fissuratum em vacas prenhes, as favas desta árvore foram moídas, misturadas à ração comercial e fornecidas a oito vacas nas doses totais de 6,5g/kg, 7,5g/kg, 9g/kg e 10g/kg. Os animais que receberam doses de 6,5g/kg pariram bezerros normais e aqueles que receberam 7,5g/kg pariram bezerros fracos que não sobreviveram. Doses de 9g/kg resultaram no nascimento de um bezerro imaturo e de outro bezerro com distiquíase, opacidade congênita das córneas e microftalmia. Ambas as vacas que ingeriram 10g/kg morreram, porém uma vaca abortou antes de morrer. Nas vacas que morreram, as lesões macroscópicas e histológicas do sistema digestivo e fígado foram semelhantes às descritas anteriormente na intoxicação por S. fissuratum. Nos bezerros e no feto abortado não foram observadas lesões macroscópicas ou histológicas significantes. A análise fitoquímica dos extratos metanólicos das favas de S. fissuratum revelou a presença de taninos hidrossolúveis, proantocianidinas, leucoantocianidinas e da saponina triterpénica β-amirina. Saponinas triterpénicas têm sido associadas com a toxicidade das favas de Stryphnodendron spp. e Enterolobium spp., que causam sinais clínicos semelhantes aos observados na intoxicação por S. fissuratum. Esta pesquisa confirmou a toxicidade das favas de S. fissuratum para bovinos, no entanto não foram confirmados os efeitos abortivos das mesmas, pois o aborto e as mortes neonatais observadas podem ser decorrentes dos efeitos tóxicos da planta nas mães. Novas pesquisas são necessárias para pesquisar se as favas da planta causam malformações semelhantes às observas em um dos bezerros nascidos vivos

    ATP-Diphosphohydrolases in Parasites: Localization, Functions and Recent Developments in Drug Discovery

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    Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

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    International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora

    Study of Bc+χcπ+B_c^+ \rightarrow \chi_c \pi^+ decays

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    International audienceA study of Bc+χcπ+B_c^+ \rightarrow \chi_c \pi^+ decays is reported using proton-proton collision data, collected with the LHCb detector at centre-of-mass energies of 7, 8, and 13 TeV, corresponding to an integrated luminosity of 9fb1^{-1}. The decay Bc+χc2π+B_c^+ \rightarrow \chi_{c2} \pi^+ is observed for the first time, with a significance exceeding seven standard deviations. The relative branching fraction with respect to the Bc+J/ψπ+B_c^+ \rightarrow J/\psi \pi^+ decay is measured to be BBc+χc2π+BBc+J/ψπ+=0.37±0.06±0.02±0.01, \frac{\mathcal{B}_{B_c^+ \rightarrow \chi_{c2} \pi^+}} {\mathcal{B}_{B_c^+ \rightarrow J/\psi \pi^+}} = 0.37 \pm 0.06 \pm 0.02 \pm 0.01 , where the first uncertainty is statistical, the second is systematic, and the third is due to the knowledge of the χcJ/ψγ\chi_c \rightarrow J/\psi \gamma branching fraction. No significant Bc+χc1π+B_c^+ \rightarrow \chi_{c1} \pi^+ signal is observed and an upper limit for the relative branching fraction for the Bc+χc1π+B_c^+ \rightarrow \chi_{c1} \pi^+ and Bc+χc2π+B_c^+ \rightarrow \chi_{c2} \pi^+ decays of BBc+χc1π+BBc+χc2π+<0.49 \frac{\mathcal{B}_{B_c^+ \rightarrow \chi_{c1} \pi^+}} {\mathcal{B}_{B_c^+ \rightarrow \chi_{c2} \pi^+}} < 0.49 is set at the 90% confidence level
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