Association of virginiamycin and multiple supplement for cattle fed a high-quality tropical forage

The aim of this study was to evaluate the effect of adding virginiamycin to either mineral mixture or multiple supplement on intake, digestion, ruminal fermentation profile, rumen microbial production, blood metabolites, and liver metabolism of zebu heifers fed a high-quality tropical forage. Eight Brahman heifers were assigned to a replicated 4 × 4 Latin Square design. The treatments were: mineral mixture, mineral mixture with virginiamycin, multiple supplement, and multiple supplement with virginiamycin. The basal diet consisted of a high-quality Tifton 85 hay (Cynodom sp.) chopped at 10-cm particle size and fed twice daily. The mineral mixture was provided daily at 120 g/animal. The multiple supplement was formulated to provide 300 g of crude protein (CP)/kg as fed, contained mineral mixture, corn grain, and urea: ammonium sulfate, and was daily provided at 200 g/animal. The mineral mixture and multiple supplement provided the same daily amount of minerals. The amount of supplemental virginiamycin was based on a maximum theoretical response on animal performance (50 mg/100 kg body weight) and daily mixed to the supplements types. The treatments were compared according to a 2 × 2 factorial arrangement (mineral mixture and multiple supplement, with or without virginiamycin). The virginiamycin supplementation did not alter either voluntary intake or digestibility (P≥0.44). Using the multiple supplement decreased forage (

The actions of the Brazilian state in transportation and the urbanization process plan in cities in the lower amazon: the case of Santarém-Pa

O objetivo deste trabalho é analisar a desintegração do modelo de rede urbana dendrítico com base na acessibilidade/rio como a única rede de transporte existente até meados do século XX, concomitante com as políticas do governo brasileiro, a fi m de ocupara Amazônia, incluindo a abertura de estradas criando um modelo complexo de rede urbana, reestruturando o espaço, modifi cando completamente os padrões de acessibilidade regionais. Destacando-se a análise do crescimento urbano na região, nos planos territoriais feitos pelos diferentes níveis de governo para a Amazônia, que traz Santarém como uma cidade referência do processo de urbanização da Amazônia. A metodologia usada consistiu em pesquisa bibliográfi ca e recolha de dados em lócus, utilizando o método de análise de ciclo de vida fundamentado na teoria do plano-processo com aplicabilidade ao planejamento territorial, que trata da elaboração e implementação de planos entre as fases do processo de tomada de decisões e os atos de investir, sendo pautado por uma visão holística. Neste contexto, os resultados permitem afi rmar que urge a necessidade de maior participação dos governos, em diferentes escalas, na busca de melhorar a qualidade de vida da sociedade local, além de considerar novas tendências de desenvolvimento regional, através de novos cenários e pela interferência na dinâmica socioeconômica e ambiental proporcionado, principalmente pele cultura da soja nas proximidades do município de Santarém.The objective of this work is to analyze the disintegration of the dendritic urban network model based on accessibility/river as the only existing transport network until the middle of the 20th century, concomitant with the policies of the Brazilian government, in order to occupy the Amazon, including the opening of roads creating a complex model of urban network, restructuring the space, completely changing the regional accessibility standards. Highlighting the analysis of urban growth in the region, in the territorial plans made by the different levels of government for the Amazon, it brings Santarém as a reference city in the urbanization process of the Amazon. The methodology used consisted of bibliographic research and data collection in locus, using the method of life cycle analysis based on the theory of the process-plan with applicability to territorial planning, which deals with the elaboration and implementation of plans between the phases of the process of decision making and investing, being guided by a holistic view. In this context, the results allow us to affirm that there is an urgent need for greater participation by governments, at different scales, in the quest to improve the quality of life of local society, in addition to considering new trends in regional development, through new scenarios and by interference in socioeconomic and environmental dynamics provided, mainly by soybean culture in the vicinity of the municipality of Santarém

Towards the prediction of essential genes by integration of network topology, cellular localization and biological process information

<p>Abstract</p> <p>Background</p> <p>The identification of essential genes is important for the understanding of the minimal requirements for cellular life and for practical purposes, such as drug design. However, the experimental techniques for essential genes discovery are labor-intensive and time-consuming. Considering these experimental constraints, a computational approach capable of accurately predicting essential genes would be of great value. We therefore present here a machine learning-based computational approach relying on network topological features, cellular localization and biological process information for prediction of essential genes.</p> <p>Results</p> <p>We constructed a decision tree-based meta-classifier and trained it on datasets with individual and grouped attributes-network topological features, cellular compartments and biological processes-to generate various predictors of essential genes. We showed that the predictors with better performances are those generated by datasets with integrated attributes. Using the predictor with all attributes, i.e., network topological features, cellular compartments and biological processes, we obtained the best predictor of essential genes that was then used to classify yeast genes with unknown essentiality status. Finally, we generated decision trees by training the J48 algorithm on datasets with all network topological features, cellular localization and biological process information to discover cellular rules for essentiality. We found that the number of protein physical interactions, the nuclear localization of proteins and the number of regulating transcription factors are the most important factors determining gene essentiality.</p> <p>Conclusion</p> <p>We were able to demonstrate that network topological features, cellular localization and biological process information are reliable predictors of essential genes. Moreover, by constructing decision trees based on these data, we could discover cellular rules governing essentiality.</p

Thalidomide plus dexamethasone as a maintenance therapy after autologous hematopoietic stem cell transplantation improves progression-free survival in multiple myeloma

Despite the good response of stem cell transplant (SCT) in the treatment of multiple myeloma (MM), most patients relapse or do not achieve complete remission, suggesting that additional treatment is needed. We assessed the impact of thalidomide in maintenance after SCT in untreated patients with MM. A hundred and eight patients (&lt;70 years old) were randomized to receive maintenance with dexamethasone (arm A; n = 52) or dexamethasone with thalidomide (arm B; n = 56; 200 mg daily) for 12 months or until disease progression. After a median follow-up of 27 months, an intention to treat analysis showed a 2-year progression-free survival (PFS) of 30% in arm A (95% CI 2238) and 64% in arm B (95% CI 5771; P = 0.002), with median PFS of 19 months and 36 months, respectively. In patients who did not achieve at least a very good partial response, the PFS at 2 years was significantly higher when in use of thalidomide (19 vs. 59%; P = 0.002). Overall survival at 2 years was not significantly improved (70 vs. 85% in arm A and arm B, respectively; P = 0.27). The addition of thalidomide to dexamethasone as maintenance improved the PFS mainly in patients who did not respond to treatment after SCT. Am. J. Hematol. (c) 2012 Wiley Periodicals, Inc.FAPESP (Fundacao de Amparo a Pesquisa do Estado de Sao Paulo)Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)CNPq (Conselho Nacional do Desenvolvimento Cientifico e Tecnologico)Conselho Nacional do Desenvolvimento Cientifico e Tecnologico (CNPq)FAPERJ (Fundacao de Apoio a Pesquisa do Estado do Rio de Janeiro)FAPERJ (Fundacao de Apoio a Pesquisa do Estado do Rio de Janeiro

Signal transduction-related responses to phytohormones and environmental challenges in sugarcane

BACKGROUND: Sugarcane is an increasingly economically and environmentally important C4 grass, used for the production of sugar and bioethanol, a low-carbon emission fuel. Sugarcane originated from crosses of Saccharum species and is noted for its unique capacity to accumulate high amounts of sucrose in its stems. Environmental stresses limit enormously sugarcane productivity worldwide. To investigate transcriptome changes in response to environmental inputs that alter yield we used cDNA microarrays to profile expression of 1,545 genes in plants submitted to drought, phosphate starvation, herbivory and N(2)-fixing endophytic bacteria. We also investigated the response to phytohormones (abscisic acid and methyl jasmonate). The arrayed elements correspond mostly to genes involved in signal transduction, hormone biosynthesis, transcription factors, novel genes and genes corresponding to unknown proteins. RESULTS: Adopting an outliers searching method 179 genes with strikingly different expression levels were identified as differentially expressed in at least one of the treatments analysed. Self Organizing Maps were used to cluster the expression profiles of 695 genes that showed a highly correlated expression pattern among replicates. The expression data for 22 genes was evaluated for 36 experimental data points by quantitative RT-PCR indicating a validation rate of 80.5% using three biological experimental replicates. The SUCAST Database was created that provides public access to the data described in this work, linked to tissue expression profiling and the SUCAST gene category and sequence analysis. The SUCAST database also includes a categorization of the sugarcane kinome based on a phylogenetic grouping that included 182 undefined kinases. CONCLUSION: An extensive study on the sugarcane transcriptome was performed. Sugarcane genes responsive to phytohormones and to challenges sugarcane commonly deals with in the field were identified. Additionally, the protein kinases were annotated based on a phylogenetic approach. The experimental design and statistical analysis applied proved robust to unravel genes associated with a diverse array of conditions attributing novel functions to previously unknown or undefined genes. The data consolidated in the SUCAST database resource can guide further studies and be useful for the development of improved sugarcane varieties