Caracterização da dieta de Melanosuchus niger (Spix, 1825) e Caiman crocodilus (Linnaeus, 1758) na Resex Lago do Cuniã, Rondônia

e aim of this study was to characterize the diet of male individuals of Melanosuchus niger and Caiman crocodilus in a lake at the Reserva Extrativista do Lago do Cuniã, Rondônia. We collected guts of the animals in November/2016, rainy season, provided by the local Cooperative (COOPCuniã). Caimans abdominal cavities were opened and their stomach were removed, aer the gut contents were stored in 70% alcohol, and food items were analyzed. We analyzed 82 stomachs, 42 of M. niger and 40 of C. crocodilus. Food items such as fragments of birds, amphibians, crustaceans, insects, and plant material were ingered by the species studied. However, the most representative items in the diet of M. niger and C. crocodilus were fishes from the Characifomes and Siluriformes order of no commercial importance. .O objetivo deste estudo foi caracterizar a dieta de indivíduos machos de Melanosuchus niger e Caiman crocodilus em um lago da Reserva Extrativista do Lago do Cuniã, Rondônia. Foram coletados intestinos dos animais em novembro/2016, estação chuvosa, fornecidos pela Cooperativa local (COOPCuniã). As cavidades abdominais dos jacarés foram abertas e seu estômago foi retirado e armazenado em álcool a 70%, e os alimentos foram analisados. Foram analisados 82 estômagos, 42 de M. niger e 40 de C. crocodilus. Alimentos como fragmentos de aves, anfíbios, crustáceos, insetos e material vegetal foram ingeridos pelas espécies estudadas. No entanto, os itens mais representativos na dieta de M. niger e C. crocodilus foram peixes da ordem Characifomes e Siluriformes sem importância comercial

Relação peso-comprimento de peixes do rio Tarumã, drenagem do rio Machado, Rondônia, Norte do Brasil

The present work provides the estimates of morphometric relationships for 13 freshwater fish species collected in tarumã River, Jaru Biological Reserve, in May and September 2015 using gill nets. New length–weight relationships for 2 species, new maximum weight for 4 species and maximum sizes recorded for 3 species of the Amazonian basin.O presente trabalho fornece as estimativas de relações morfométricas para 13 espécies de peixes de água doce coletadas no rio tarumã, Reserva Biológica do Jaru, em maio e setembro de 2015, utilizando malhadeiras. São apresentadas novas relações comprimento-peso para 2 espécies, novo peso máximo para 4 espécies e tamanhos máximos registrados para 3 espécies da bacia amazônica

Eugenol dosages in the anesthetic induction of Amazonian Tambaqui under different temperatures/ Dosagens de eugenol na indução anestésica do tambaqui da Amazônia sob diferentes temperaturas

Ponds for fish farming in the Amazon Region have warm waters that require adjustments in the anesthetic management adopted for tropical fish species. The objective of this study was to evaluate the anesthetic behavior of tambaquis (Colossoma macropomum) submitted to two eugenol concentrations (26.5 and 53.0 mg.L-1) at water temperatures of 27 and 31°C. In this study were used 20 fishes weighing 982 ± 199g in five replicates, individually sedated at predetermined eugenol concentrations in a temperature-controlled tank. The results showed that the fishes presented significant temporal differences (p≤0.05) in the period between deep anesthesia (00min:40sec) and recovery (02min:35sec) at the temperature of 31°C. The anesthetic effect at the dose of 53.0 mg.L-1, regardless of temperature (27 or 31°C), was similar (p ≥ 0.05) to the anesthetic effect at the water temperature of 31°C at the dose of 26.5 mg.L-1. Therefore, it was more efficient (p ≤ 0.05) for the shorter latency period for deep anesthesia. Within this context, temperature influenced the anesthetic effect and dose in tambaqui individuals

The component of Carica papaya seed toxic to A-aegypti and the identification of tegupain, the enzyme that generates it

As Aedes aegypti transmits the etiologic agents of both yellow and dengue fever; vector control is considered essential to minimise their incidence. the aim of this work was to identify the component of Carica papaya seed toxic to A. aegypti, and the identification of tegupain, the enzyme that generates it. Aqueous extracts (1%, w/v) of the seed tegument and cotyledon of C. papaya are not larvicidal isolately. However, a mixture of 17 mu g mL(-1) tegument extract and 27 mu g mL(-1) cotyledon extract caused 100% larval mortality in a bioassay. the mixture was no longer larvicidal after the tegument extract was pre-treated at 100 degrees C for 10 min. the enzyme tegupain efficiently hydrolysed the substrate Z-Phe-Arg-pNan (K-m 58.8 mu M, K-cat 28020 s(-1), K-cat/K-m 5 x 10(8) M-1 s(-1)), and its activity increased with 2 mM dithiothreitol (DTT), at 37 degrees C, pH 5.0. the chelating agent EDTA did not modify the enzyme activity. Inhibition of tegupain by cystatin (K-iapp 2.43 nM), E64 (3.64 nM, 83% inhibition), and the propeptide N-terminal sequence indicate that the toxic activity is due to a novel cysteine proteinase-like enzyme, rendered active upon the hydrolysis of a cotyledon component of C. papaya seeds. (c) 2013 Elsevier B.V. All rights reserved.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Universidade Federal de São Paulo, Dept Bioquim, BR-04044020 São Paulo, BrazilUniv Estadual Norte Fluminense, Biotechnol Lab, Campos Dos Goytacazes, RJ, BrazilUniversidade Federal de São Paulo, Dept Bioquim, BR-04044020 São Paulo, BrazilFAPESP: 2009/17058-6FAPESP: 2009/53766-5Web of Scienc

O perfil semiológico do paciente portador de hemorragia digestiva alta

OBJETIVO: O seguinte estudo objetivou descrever a semiologia do paciente portador de hemorragia digestiva alta, considerando como determinante na avaliação de potencias focos hemorrágicos. METODOLOGIA: Foram realizadas buscas nas plataformas do SciELO, LILACS, PubMed, Scopus e Google Scholar,utilizando os descritores gastrointestinal bleeding, peptic ulcerous disease e varicose hemorrhage, sendo identificados 35 estudos, dos quais foram incluídos 13 artigos completos. Desses estudos, 5 avaliaram as principais etiologias, 2 o surgimento de novos testes diagnósticos, 2 analisaram os aspectos epidemiológicos e 1 a sintomatologia apresentada pelo acometimento da hemorragia digestiva alta. Observou-se inicialmente a abundâncias de informações conceituais sobre o sangramento, como um transtorno clínico comum, acompanhada de inúmeras manifestações, considerando que o foco hemorrágico pode ocorrer em qualquer porção do trato gastrointestinal. Neste estudo, todas as publicações eleitas apresentaram o quadro semiológico composto por algia abdominal, indícios de choque hipovolêmico e taquicardia, alguns exibiram quedas abruptas da pressão arterial, odinofagia, êmese, náuseas e estado ictérico. Os pacientes implicados, cronicamente, já manifestaram ocorrências prévias, devido ao caráter recidivante torna-se essencial investigar a existência de varizes, fístula aorto-entérica, angiodisplasia e doença ulcerosa. CONCLUSÃO: Elucida-se que a hemorragia digestiva alta representa a principal causa de sangramento do trato gastrointestinal, majoritamente manifesta-se como hematêmese ou melena e cursam com o quadro sintomatológico que auxilia na avaliação da gravidade deste e o embasamento de potenciais focos de sangramento e que contribuam para disseminação de informações e intervenções futuras

Pervasive gaps in Amazonian ecological research

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

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

Pervasive gaps in Amazonian ecological research

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