Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects.We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives. Geosphere-Biosphere Program (IGBP) and DIVERSITAS, the TRY database (TRY-not an acronym, rather a statement of sentiment; https ://www.try-db.org; Kattge et al., 2011) was proposed with the explicit assignment to improve the availability and accessibility of plant trait data for ecology and earth system sciences. The Max Planck Institute for Biogeochemistry (MPI-BGC) offered to host the database and the different groups joined forces for this community-driven program. Two factors were key to the success of TRY: the support and trust of leaders in the field of functional plant ecology submitting large databases and the long-term funding by the Max Planck Society, the MPI-BGC and the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, which has enabled the continuous development of the TRY database.

MotivationThe BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community‐led open‐source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene.Main types of variables includedThe database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record.Spatial location and grainBioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2).Time period and grainBioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year.Major taxa and level of measurementBioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.Software format.csv and .SQL.

SUMMARY Glucocorticoid resistance is a major driver of therapeutic failure in T-cell acute lymphoblastic leukemia (T-ALL). Here we identify the AKT1 kinase as a major negative regulator of the NR3C1 glucocorticoid receptor protein activity driving glucocorticoid resistance in T-ALL. Mechanistically, AKT1 impairs glucocorticoid-induced gene expression by direct phosphorylation of NR3C1 at position S134 and blocking glucocorticoid-induced NR3C1 translocation to the nucleus. Moreover, we demonstrate that loss of PTEN and consequent AKT1 activation can effectively block glucocorticoid induced apoptosis and induce resistance to glucocorticoid therapy. Conversely, pharmacologic inhibition of AKT with MK2206 effectively restores glucocorticoid-induced NR3C1 translocation to the nucleus, increases the response of T-ALL cells to glucocorticoid therapy and effectively reverses glucocorticoid resistance in vitro and in vivo.

No abstract

RESUMOO objetivo deste trabalho foi caracterizar a composição florística e a estrutura do componente arbóreo de um fragmento de Floresta Ombrófila Mista Montana e avaliar a influência de variáveis ambientais sobre os padrões encontrados. A área de estudo situa-se no município de Lages, SC, às margens do Rio Caveiras (27°51'19.20"S e 50°10'33,39"W). O levantamento da vegetação e das variáveis ambientais (características químicas e físicas dos solos, relevo e cobertura do dossel) foi realizado em 50 parcelas permanentes de 20x10 m, alocadas de forma sistemática estratificada no fragmento. Todas as árvores vivas com circunferência ≥ 15,7 cm (medidas a 1,30 m do solo -CAP) foram mensuradas (CAP e altura) e identificadas. Foi calculado o valor de importância (VI) das espécies encontradas, realizada a ordenação das parcelas em função da abundância das espécies, por meio da analise de NMDS (Nonmetric multidimensional scalling) e plotadas a posteriori as variáveis ambientais significativas no diagrama de ordenação. Foram amostrados 1.843 indivíduos, que totalizaram uma área basal de 36,45 m 2 /ha, distribuídos em 37 famílias botânicas, 63 gêneros e 92 espécies. As três espécies com os maiores valores de VI foram Araucaria angustifolia (Bertol.) Kuntze, Lithraea brasiliensis Marchand e Jacaranda puberula Cham. As variáveis que apresentaram maior correlação com a estrutura e a composição florística do componente arbóreo foram o pH, o desnível máximo da parcela e o teor de Mg. Palavras-chave: heterogeneidade ambiental; floresta de araucária; análise multivariada. ABSTRACTThis study aimed to characterize the floristic composition and structure of the tree component of a montane Araucaria Forest fragment and to assess the influence of environmental variables on the patterns observed. The study area was located in the municipality of Lages, Santa Catarina state, close to the margin of the Caveiras River. The vegetation and the environmental variables (physical and chemical soils characteristics, relief and canopy cover) were surveyed within 50, 20 x 10m, permanent plots allocated systematically stratified 1.

RESUMOA Floresta Ombrófila Mista Alto-Montana é uma formação pouco estudada que ocorre em altitudes acima de 1.000 m. Os objetivos deste estudo foram conhecer os padrões florísticos e estruturais do componente arbóreo de um fragmento desta floresta na região do Planalto Sul Catarinense e determinar as variáveis ambientais que influenciam esses padrões. O levantamento da composição florística e estrutural e a coleta das variáveis ambientais foram conduzidos em 50 parcelas de 200 m 2 . Nelas, todos os indivíduos arbóreos com CAP (circunferência medida a altura do peito) ≥ 15,7 cm foram medidos (CAP e altura) e identificados. Foram coletadas, em cada parcela, variáveis ambientais relacionadas às características químicas e físicas dos solos, topográficas e de cobertura do dossel. Foram calculados os parâmetros fitossociológicos e a estrutura diamétrica da comunidade e das populações com valor de importância (VI) acima de 5 %. A similaridade florístico-estrutural entre as parcelas foi analisada pela NMDS (Nonmetric Multidimensional Scaling) e os vetores das variáveis ambientais significativas (p < 0,05) foram plotados a posteriori. Foram identificadas 50 espécies arbóreas distribuídas em 33 gêneros e 20 famílias botânicas. As espécies com maior VI foram: Araucaria angustifolia (Bertol.) Kuntze (17,32 %), Myrceugenia euosma (O.Berg) D.Legrand (15,24 %) e Acca sellowiana (O.Berg) Burret (7,84 %). A estrutura diamétrica de toda a comunidade e das populações estudadas (exceto Dicksonia sellowiana Hook.) teve distribuição próxima ao "J invertido". A análise NMDS demonstrou maior porcentagem de argila nas parcelas com maior densidade de Araucaria angustifolia e 1. Engenheiro Florestal, Dr., Professor do

-(Floristic comparison of wetland forests in Southeast and South Brazil). This study evaluated the variation of tree species composition of 35 wetland forest areas in Southeast and South Brazil. The analysis of the floristic composition was based on a floristic checklist containing 602 species of 23 alluvial forests (seasonally inundated) and 12 swamp forests (permanently waterlogged). The species were classified, using a χ 2 test, according to the habitat preference in: 1) swamp forest species, e. Palavras-chave -análise multivariada, floresta aluvial, floresta paludosa, florística

This study aimed at evaluating the oils extracted from seeds originating from agroindustrial wastes, in order to identify the presence of bioactive compounds. The oils extracted from seeds of apple, citron, grape, guava, kumquat, mangaba, mango, melon, orange, papaya, passion fruit, pumpkin, soursop, strawberry, and tomato were studied. Therefore, determination of fatty acid profile, triglycerides, composition of tocopherols, phytosterols and phenolic compounds, and total carotenoids was performed in the oils. Strawberry seed oil stood out for its high content of linolenic acid (31.5%), which is classified as essential fatty acid, and also for its high content of phenolic compounds, compared to the other samples. The concentrations of tocopherols ranged from nd (not detected), in kumquat seed oil, to 534.53 mg/kg, in apple seed oil. The main phytosterol found among the samples was β‐sitosterol. Practical applications: The analyses accomplished indicate that these oils can be a new source of oils for human consumption. The information presented might be directly used for developing of functional foods, as well chemical, pharmaceutical, and cosmetic industries. This study aimed at evaluating the oils extracted from seeds originating from agroindustrial wastes. Determination of fatty acid profile, composition of tocopherols, phytosterols and phenolic compounds, and total carotenoids was performed in the oils extracted from seeds of apple, citron, grape, guava, kumquat, mangaba, mango, melon, orange, papaya, passion fruit, pumpkin, soursop, strawberry, and tomato.