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- Kattge, Jens, et al.
(författare)
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TRY plant trait database - enhanced coverage and open access
- 2020
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Ingår i: Global Change Biology. - : Wiley-Blackwell. - 1354-1013 .- 1365-2486. ; 26:1, s. 119-188
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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| 2. |
- Beal, Jacob, et al.
(författare)
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Robust estimation of bacterial cell count from optical density
- 2020
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Ingår i: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
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Tidskriftsartikel (refereegranskat)abstract
- Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
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| 3. |
- Villa, Ricardo Tadeu, et al.
(författare)
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Photoprotection and skin self-examination in primary attention users : The impact of smartphone as a tool for education
- 2020
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Ingår i: Journal of Dermatology & Cosmetology. - Edmond, OK, United States : MedCrave Group. - 2574-9943. ; 4:4, s. 92-97
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: “mobile health” consists in using electronic devices to support health.Objectives: observe photoprotection, skin self-examination and compare the impact of multimedia presentation to Whatsapp messages on these habits in primary attention.Methodology: experimental study, envolving 300 users. First moment: SEPI (Sun Exposure and Protection Index) and SSEAS (Self Skin-Examination Attitudes Scale) were applied and a presentation was performed. Second moment (8 weeks):150 users received photoprotection and self-examination messages. Third moment:300 re-answered questionnaires. Differences were analysed using t test andlinear regression.Results: 39.66% used sunscreen always/frequently and, in intervention, ascended to 47.91% (p=0.0014) without change in control. Self-examination was a priority for 48.67% and increased to 73.91% in control (p=0.0179) and 69.8% (p=0.0001) in intervention, without difference.Conclusion: photoprotection remained low and self-examination became priority for twothirds (without difference between groups).
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