Associação do polimorfismo do gene do hormônio de crescimento com a característica peso em bovinos da raça Nelore.

O polimorfismo do gene do hormônio de crescimento bovino (bGH) foi estudado em 211 bovinos machos da raça Nelore, puros de origem (PO), a fim de observar as freqüências genenotípicas e alélicas, e a possível associação com a característica peso. Para alcançar este objetivo, foram considerados os pesos ao nascer, a desmama e mensais dos 10 aos 16 meses de idade, e calculados os ganhos de peso do nascimento a desmama ao 16 meses. Foi coletado sangue para extração do DNA e análises dos sítios polimórficos (RFLP) oriundos da disgestão com as endonucleases Msp I (bGH/Msp I, 891pb), Hae III (bGH/Hae III, 441 pb) e Alu I (bGH/Alu I, 427 pb). Para cada polimorfismo foram encontrados dois alelos, ocorrendo predominância dos aleleo sD, F e A, respectivamente. Foi observado o efeito do genótipo AA do bGH/Alu I sobre o ganho de peso da desmama ate 15 meses de idade e do genótipo DD do bGH/Msp I sobre os ganhos de peso da desmama aos 14 e 15 meses. Os resultados sugerem que os polimorfismos bGH/Alu I e bGH/Msp I constituem marcadores, em potencial, da característica ganho de peso em animais jovens

Índice texturais das áreas de exploração florestal na FLONA do Tapajós (Pará), utilizando imagens de média resolução espacial fusionadas.

The Amazon Biome has a wide variety of ecosystems, such as: flooded forests, dry land, igapós, open fields, floodplains and cerrado. And for forest studies what has been used in the scientific field are several methods of satellites images classification based on textural characteristics. The texture characteristics are an important source of information for the analysis and interpretation process of products that are generated by optical sensors. In this work we show results obtained through the application of the mapping methodology developed by DETEX (Detection of Selective Logging) and the textural measures using a co-occurrence matrix, in the study area of FNT (Tapajós National Forest) in Pará, having as a temporal cut the years of 2014, before the forest exploitation and 2015, the year post logging. The results obtained from the fused images of the Landsat 8 satellite (Sensor OLI) demonstrated a relation between some textural variables obtained by the Haralick texture and the forest exploitation degree applied, measured by the remaining basal area (G - m²/ha) . Based on the results, it was possible to establish that before the logging the trees from the dominant extract were important in the detection result, whereas when some individuals (2015) were extracted, the dominant trees were fundamental for the verification of low impact logging activity in the fores

Detecção de padrões espaciais ligados à exploração florestal madeireira na Amazônia Legal: o caso da COOMFLONA, na Floresta Nacional do Tapajós.

For the protection of Amazon forest remnants, it is fundamental to know how the processes of forest exploitation occur. In this sense, it is necessary to formulate methodologies that aim at the optimization and accuracy of the mappings related to the selective cutting of forest individuals for commercial purposes. Thus, this work presents the results obtained through the application of the mapping methodology developed in DETEX project, allied to geotechnology and geostatistical methods, aiming at the identification of forest exploitation patterns related to wood selective cutting in COOMFLONA of 2013, 2014 and 2015. According to the results, logging began in 2013 with the installation of storage and infrastructure yards in the north of the area, demonstrating that the applied technique was effective in mapping the area''''''''s exploration dynamics. Subsequently, the infrastructure was installed towards the south of the area, followed by exploration. Finally, in 2015 one can see that the exploration activities were concentrated in the south of the area. During the analyzed period, results related to the spatial autocorrelation values of the Moran Local Index, as well as the surface map of forest exploitation density by interpolation by the Kernel method, showed an intense dynamics related to the implantation of storage yards and road infrastructure of forest exploitation

Full genome sequence and sfRNA interferon antagonist activity of Zika virus from Recife, Brazil

Background: The outbreak of Zika virus (ZIKV) in the Americas has transformed a previously obscure mosquito-transmitted arbovirus of the Flaviviridae family into a major public health concern. Little is currently known about the evolution and biology of ZIKV and the factors that contribute to the associated pathogenesis. Determining genomic sequences of clinical viral isolates and characterization of elements within these are an important prerequisite to advance our understanding of viral replicative processes and virus-host interactions. Methodology/Principal findings: We obtained a ZIKV isolate from a patient who presented with classical ZIKV-associated symptoms, and used high throughput sequencing and other molecular biology approaches to determine its full genome sequence, including non-coding regions. Genome regions were characterized and compared to the sequences of other isolates where available. Furthermore, we identified a subgenomic flavivirus RNA (sfRNA) in ZIKV-infected cells that has antagonist activity against RIG-I induced type I interferon induction, with a lesser effect on MDA-5 mediated action. Conclusions/Significance: The full-length genome sequence including non-coding regions of a South American ZIKV isolate from a patient with classical symptoms will support efforts to develop genetic tools for this virus. Detection of sfRNA that counteracts interferon responses is likely to be important for further understanding of pathogenesis and virus-host interactions

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