Analysis of intact prophages in genomes of Paenibacillus larvae: An important pathogen for bees

Paenibacillus larvae is the etiological agent of American Foulbrood (AFB), a highly contagious and worldwide spread bacterial disease that affects honeybee brood. In this study, all complete P. larvae genomes available on the NCBI database were analyzed in order to detect presence of prophages using the PHASTER software. A total of 55 intact prophages were identified in 11 P. larvae genomes (5.0 +/- 2.3 per genome) and were further investigated for the presence of genes encoding relevant traits related to P. larvae. A closer look at the prophage genomes revealed the presence of several putative genes such as metabolic and antimicrobial resistance genes, toxins or bacteriocins, potentially influencing host performance. Some of the coding DNA sequences (CDS) were present in all ERIC-genotypes, while others were only found in a specific genotype. While CDS encoding toxins and antitoxins such as HicB and MazE were found in prophages of all bacterial genotypes, others, from the same category, were provided by prophages particularly to ERIC I (enhancin-like toxin), ERIC II (antitoxin SocA) and ERIC V strains (subunit of Panton-Valentine leukocidin system (PVL) LukF-PV). This is the first in-depth analysis of P. larvae prophages. It provides better knowledge on their impact in the evolution of virulence and fitness of P. larvae, by discovering new features assigned by the viruses

GAMMA-ORYZANOL HAS AN EQUIVALENT EFFICACY AS A LIPID-LOWERING AGENT COMPARED TO FIBRATE AND STATIN IN TWO DYSLIPIDEMIA MICE MODELS

Objective: A substantial fraction of the population is intolerant or does not respond well to the recommended treatments for dyslipidemia. The purpose of this study was to evaluate the efficacy ofgamma-oryzanol (γ-ORZ) treatment in acute and long-term mouse experimental models of dyslipidemia in comparison toGemfibrozil and Simvastatin. Methods: For the acute dyslipidemia-induced model, dyslipidemia was induced in 40 mice using a single intra-peritoneal administration of Triton WR-1339. For the long-termmodel, dyslipidemia was induced in 24 mice using a hypercholesterolemic diet over 14 days. Thereafter, animals were divided into different groups of treatment,and orally received treatments with gamma-oryzanol (5, 25, 50mg. kg-1), gemfibrozil or simvastatin. For biochemical analysis, glucose, total cholesterol and triacylglycerols were measured. Body weight and net food intake was registered weekly, and urea, creatinine, AST and ALT levels were evaluated. The data were analyzed by analysis of variance (ANOVA), followed by the Student-Newman-Keuls method,and p value of less than 0.05 was considered significant. Results: Only the highest dose of γ-ORZ exhibited significant protective effects. Gamma-oryzanol andGemfibrozil treatments reduced total cholesterol and triacylglycerols levels in a similar manner in the acute model. In the second model, γ-ORZ and simvastatin treatments reduced glucose and total cholesterol levels in the same way. In addition, the administration ofγ-ORZ did not cause any adverse events, or significantly altered hepatic enzymes levels, plasmatic urea or creatinine concentrations. Conclusion: The results of this study suggest that gamma-oryzanol acts as a potential lipid-lowering agent, reducing triglycerides and total cholesterol in dyslipidemia-induced models

MACROECOLOGIA, BIOGEOGRAFIA E ÁREAS PRIORITÁRIAS PARA CONSERVAÇÃO NO CERRADO

revista vol 13 nº 3.indd Há consenso entre os cientistas de que a há atualmente uma “crise da biodiversidade”, resultado da constante e intensa perda de habitat natural causada pela expansão da ocupação. Como a biologia da conservação tem sido muitas vezes reconhecida como uma ciência da crise, ela deve fornecer informações capazes de mediar, de forma mais científica possível, as tomadas de decisão que são necessárias. Dentre estas, uma das mais importantes é indicar regiões prioritárias para a conservação, já que por motivos óbvios não é possível preservar todos os ecossistemas por inteiro. Nesse contexto, recentemente sugeriu-se que a aplicação de princípios, teorias e análises provenientes da biogeografia e da macroecologia seriam importantes na Biologia da Conservação, formalizando uma abordagem que tem sido denominada “Biogeografia da Conservação”. Assim, o objetivo deste artigo é discutir e revisar esses componentes da biogeografia da conservação, utilizando uma abordagem macroecológica para desenvolver e aplicar métodos de planejamento sistemático em conservação, utilizando o bioma Cerrado como um modelo de estudo. Foram discutidos inicialmente os padrões de riqueza e diversidade beta e, em um segundo momento, como esses padrões podem ser correlacionados à ocupação humana do Bioma. Essa relação é fundamental para subsidiar a aplicação de modelos de planejamento sistemático de conservação em escala regional (análises de insubstituibilidade, complementaridade e de lacunas). É preciso considerar também que há sérias falhas de conhecimento sobre os padrões de biodiversidade na região e que a escolha de grupos indicadores pode ser importante para minimizar problemas gerados pela falta de conhecimento. Assim, essa abordagem é interessante em um cenário de grandes incertezas (ausência de dados detalhados) e de rápida transformação da paisagem, possibilitando a otimização de estudos em grandes escalas e depois transferir os resultados para escalas espaciais mais locais e realmente relevantes para a conservação. Nessas regiões, podem ser realizados, em um segundo momento, estudos mais detalhados a fim de avaliar padrões de viabilidade populacional, fragmentação de habitat e regiões potenciais de manutenção da diversidade genética

Wild dogs at stake: deforestation threatens the only Amazon endemic canid, the short-eared dog (Atelocynus microtis)

The persistent high deforestation rate and fragmentation of the Amazon forests are the main threats to their biodiversity. To anticipate and mitigate these threats, it is important to understand and predict how species respond to the rapidly changing landscape. The short-eared dog Atelocynus microtis is the only Amazon-endemic canid and one of the most understudied wild dogs worldwide. We investigated short-eared dog habitat associations on two spatial scales. First, we used the largest record database ever compiled for short-eared dogs in combination with species distribution models to map species habitat suitability, estimate its distribution range and predict shifts in species distribution in response to predicted deforestation across the entire Amazon (regional scale). Second, we used systematic camera trap surveys and occupancy models to investigate how forest cover and forest fragmentation affect the space use of this species in the Southern Brazilian Amazon (local scale). Species distribution models suggested that the short-eared dog potentially occurs over an extensive and continuous area, through most of the Amazon region south of the Amazon River. However, approximately 30% of the short-eared dog's current distribution is expected to be lost or suffer sharp declines in habitat suitability by 2027 (within three generations) due to forest loss. This proportion might reach 40% of the species distribution in unprotected areas and exceed 60% in some interfluves (i.e. portions of land separated by large rivers) of the Amazon basin. Our local-scale analysis indicated that the presence of forest positively affected short-eared dog space use, while the density of forest edges had a negative effect. Beyond shedding light on the ecology of the short-eared dog and refining its distribution range, our results stress that forest loss poses a serious threat to the conservation of the species in a short time frame. Hence, we propose a re-assessment of the short-eared dog's current IUCN Red List status (Near Threatened) based on findings presented here. Our study exemplifies how data can be integrated across sources and modelling procedures to improve our knowledge of relatively understudied species

A nationwide pilot study on breast cancer screening in Peru

"Introduction: A high prevalence of advanced breast cancer (BC) is a common scenario in Latin America. In Peru, the frequency of BC at Stages III/IV is ≈50% despite implementation of a programme for breast cancer screening (BCS) along the country. We carried out a study to assess the feasibility and develop an instrument to evaluate the knowledge, barriers and perception about BCS in a nationwide pilot study in Peru among candidates for BCS. Methods: We conducted a systematic review of 2,558 reports indexed in PubMed, Scopus, Web of Science, Medline-Ovid and EMBASE, regarding to our study theme. In total, 111 were selected and a 51-items survey was developed (eight items about sociodemographic characteristics). Patients were recruited in public hospitals or private clinics, in rural and urban areas of nine departments of Peru. Results: We surveyed 488 women from: Lima (150), Cajamarca (93), Ica (59), Arequipa (56), Loreto (48), Ancash (38), Junín (15), Puerto Maldonado (15) and Huancavelica (14); 27.9% of them were from rural areas. The mean of age was 53.3 years (standard deviation ± 9.1). Regarding education level, 29.8% had primary, 33.2% secondary and 37.0% higher education. In total, 28.7% of women did not know the term ‘mammogram’ and 47.1% reported never receiving a BCS (36.9% from urban and 73.5% from rural population). In women that underwent BCS, only 67% knew it is for healthy women. In total, 54.1% of patients had low levels of knowledge about risk factors for BC (i.e. 87.5% of women respond that injuries in the breast produce cancer). Cultural, economic and geographic barriers were significantly associated with having a mammogram where 56.9% of participants considered a cost ≤ 7 USD as appropriate. Mammogram was perceived as too painful for 54.9% of women. In addition, women with a self-perception of low-risk for BC and a fatalistic perception of cancer were less likely to have a BCS. Conclusion: We found that it is feasible to conduct a large-scale study in Peru. The results of this pilot study highlight an urgent need of extensive education and awareness about BCS in Peru.

Highlights from the Pierre Auger Observatory

The Pierre Auger Observatory is the world's largest cosmic ray observatory. Our current exposure reaches nearly 40,000 km$^2$ str and provides us with an unprecedented quality data set. The performance and stability of the detectors and their enhancements are described. Data analyses have led to a number of major breakthroughs. Among these we discuss the energy spectrum and the searches for large-scale anisotropies. We present analyses of our X$_{max}$ data and show how it can be interpreted in terms of mass composition. We also describe some new analyses that extract mass sensitive parameters from the 100% duty cycle SD data. A coherent interpretation of all these recent results opens new directions. The consequences regarding the cosmic ray composition and the properties of UHECR sources are briefly discussed.Comment: 9 pages, 12 figures, talk given at the 33rd International Cosmic Ray Conference, Rio de Janeiro 201