BackgroundCopy number variations (CNVs) have been shown to account for substantial portions of observed genomic variation and have been associated with qualitative and quantitative traits and the onset of disease in a number of species. Information from high-resolution studies to detect, characterize and estimate population-specific variant frequencies will facilitate the incorporation of CNVs in genomic studies to identify genes affecting traits of importance.ResultsGenome-wide CNVs were detected in high-density single nucleotide polymorphism (SNP) genotyping data from 1,717 Nelore (Bos indicus) cattle, and in NGS data from eight key ancestral bulls. A total of 68,007 and 12,786 distinct CNVs were observed, respectively. Cross-comparisons of results obtained for the eight resequenced animals revealed that 92 % of the CNVs were observed in both datasets, while 62 % of all detected CNVs were observed to overlap with previously validated cattle copy number variant regions (CNVRs). Observed CNVs were used for obtaining breed-specific CNV frequencies and identification of CNVRs, which were subsequently used for gene annotation. A total of 688 of the detected CNVRs were observed to overlap with 286 non-redundant QTLs associated with important production traits in cattle. All of 34 CNVs previously reported to be associated with milk production traits in Holsteins were also observed in Nelore cattle. Comparisons of estimated frequencies of these CNVs in the two breeds revealed 14, 13, 6 and 14 regions in high (>20 %), low (<20 %) and divergent (NEL > HOL, NEL < HOL) frequencies, respectively.ConclusionsObtained results significantly enriched the bovine CNV map and enabled the identification of variants that are potentially associated with traits under selection in Nelore cattle, particularly in genome regions harboring QTLs affecting production traits.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-2752-9) contains supplementary material, which is available to authorized users.

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The aim of this research was to assess water quality in a stretch of the Paraguay River within the Brazilian Pantanal by means of a micronucleus assay with fish, and by water and sediment physicochemical analysis. Significant increases (p >0.05) in the frequency of micronuclei (MN) and micronucleated cells (MNC) occurred in erythrocytes of Pimelodus maculatus and Leporinus friderici at two river sites in the town of Caceres relative to an upstream reference site. The results demonstrate that the Paraguay River water near Caceres has been receiving genotoxic effluents, which may be associated with the presence of chromium, sulfides, oil and grease, and/or other chemicals.

e Joaquim Manoel da Silva 3 RESUMO -O percevejo-de-renda Leptopharsa heveae Drake & Poor (Hemiptera: Tingidae) é uma das mais importantes pragas da heveicultura no Brasil, principalmente nas regiões Sudeste e Centro-Oeste. Devido ao seu hábito sugador, na face abaxial das folhas, esta praga leva à senescência precoce das mesmas e a reduções na produção de látex em até 30%. Dentre os inimigos naturais de L. heveae está o parasitoide de ovos Erythmelus tingitiphagus (Soares) (Hymenoptera: Mymaridae), regulando suas populações em condições naturais. O objetivo deste estudo foi verificar a dinâmica populacional deste parasitoide, bem como correlacioná-la com os fatores meteorológicos temperatura e pluviosidade, em plantio comercial de seringueira do clone PB 217, em Itiquira, MT. Semanalmente foram coletadas quatro folhas maduras por árvore, no terço inferior da copa de 40 árvores, totalizando 160 folhas por amostragem, no período de agosto de 2006 a janeiro de 2007. Houve correlação positiva entre a dinâmica populacional e os fatores meteorológicos, sendo o pico populacional do parasitoide observado no mês de novembro e declinando até janeiro na área estudada.Palavras-chave: Controle biológico, Hevea brasiliensis, Flutuação populacional. POPULATION DYNAMIC OF EGG PARASITOID Erythmelus tingitiphagus (HYMENOPTERA: MYMARIDAE) IN RUBBER TREE CLONE IN ITIQUIRA, MATO GROSSO STATE, BRAZIL

High density genotyping panels have been used in a wide range of applications. From population genetics to genome-wide association studies, this technology still offers the lowest cost and the most consistent solution for generating SNP data. However, in spite of the application, part of the generated data is always discarded from final datasets based on quality control criteria used to remove unreliable markers. Some discarded data consists of markers that failed to generate genotypes, labeled as missing genotypes. A subset of missing genotypes that occur in the whole population under study may be caused by technical issues but can also be explained by the presence of genomic variations that are in the vicinity of the assayed SNP and that prevent genotyping probes from annealing. The latter case may contain relevant information because these missing genotypes might be used to identify population-specific genomic variants. In order to assess which case is more prevalent, we used Illumina HD Bovine chip genotypes from 1,709 Nelore (Bos indicus) samples. We found 3,200 missing genotypes among the whole population. NGS re-sequencing data from 8 sires were used to verify the presence of genomic variations within their flanking regions in 81.56% of these missing genotypes. Furthermore, we discovered 3,300 novel SNPs/Indels, 31% of which are located in genes that may affect traits of importance for the genetic improvement of cattle production.

Two male individuals of Mimon crenulatum were captured in the Mario Viana Municipal Park, at Nova Xavantina, eastern Mato Grosso, Brazil. This record expands the species’ distribution in West-Central Brazil, and represents the first record for the Cerrado of Mato Grosso. The specimens’ morphometric data are presented and compared with those of specimens found in other biomes. Two predictive geographic distribution models were generated, indicating the expansion of the potential distribution of the species.

RESUMO Esta pesquisa pautou-se na análise do desenvolvimento científico e tecnológico acerca da Internet das Coisas (IoT) aplicada ao ambiente da saúde na perspectiva da inovação, tendo como insumo artigos científicos e documentos de patentes relacionados ao tema. A prospecção realizada a partir dos critérios delimitados possibilitou o mapeamento, nos últimos dez anos, de 217 artigos e 177 patentes relacionados à temática, em nível global. Os dados foram analisados utilizando-se os parâmetros da análise bibliométrica seguida da análise de conteúdo, permitindo a identificação dos autores com maior produtividade (Lei de Lotka), a vinculação destes autores, a dispersão histórica das publicações e dos periódicos que difundem o assunto (Lei de Bradford), as abordagens predominantes das publicações (Lei de Zipf) e os países e as áreas de destaque em publicações científicas e tecnológicas. O panorama delineado aponta que o desenvolvimento da temática ocorreu a partir de 2010 liderado por países asiáticos, com uma produção científica mais desconcentrada e predominantemente vinculada às Universidades, enquanto a produção tecnológica apresenta maior concentração e vinculação com empresas, porém, com convergência no discurso comum. Dentre as tendências identificadas, sobressai o monitoramento remoto de pacientes.