BUSCADOR RECOLECTA

A-D)P35S:SAUR63:YFP:HA. E-H)P35S:SAUR6326-142:YFP:HA. I-L)PUBQ10:WAVE 138Y expressing a PM-localized YFP fusion protein. M-P) PUBQ10:WAVE 1Y expressing a cytoplasmically-localized YFP fusion protein. Q-T) PUBQ10:WAVE 9Y expressing a YFP fusion protein localized to the tonoplast. Shown are fluorescence confocal microscopy images of YFP (green, A,E,I,M,Q), FM4-64 membrane staining (magenta, B,F,J,N,R), and both channels together (C,G,K,O,S) with vertical yellow lines indicating locations of quantitation of fluorescence intensity signals, scaled to the maximum signal along the line (D,H,L,P,T). Image color channel brightnesses were adjusted for visibility. Scale bar, 20 μm., Peer reviewed

All supplementary files included with this article: Powerpoint document. Supplementary data 1. Powerpoint document. Supplementary data 2. Word document. Supplementary data 3., Peer reviewed

Multimedia component 1., Peer reviewed

2 tables., Understanding how pollination services can be maintained in increasingly anthropogenic landscapes is a current challenge for basic and applied ecology. The stability of plant-pollinator communities might increase in heterogeneous landscapes with a high diversity of species and alternative habitats, both through increased portfolio effect (property of communities to fluctuate less than the sum of its counterparts) and decreased synchrony (coincident changes in species abundance). However, how these drivers of stability (portfolio effect and synchrony) vary along land-use gradients remains largely unknown. Using independent samplings for plants, pollinators, and their interactions in Mediterranean communities along a gradient of landscape heterogeneity, we assessed the relationships between within-year stability and its drivers; and between the drivers of stability, landscape heterogeneity, and species diversity. Besides, we evaluated the relationships between the drivers of interaction stability and the structure of mutualistic networks (modularity, nestedness, connectance). Stability increased with larger portfolio effects and asynchronies. Interaction stability was positively related to pollinator stability, but not to plant stability. Landscape evenness increased the stability of plants, pollinators, and their interactions, through increased portfolio effects. However, for plants and pollinators, the landscape effect was detected at a smaller scale (1-km) than for interactions (2-km); and for pollinators and interactions, the effect was only evident from medium-to-high levels of landscape evenness. Temporal synchrony of species/pairwise interactions was an important driver of stability, tightly linked to species/interaction diversity. More asynchronous communities showed a larger portfolio effect and were also those with higher species evenness for all plants, pollinators, and their interactions; while synchrony was also weakly positively related to species richness for plants. Interestingly, more modular network structures conferred enhanced overall community stability, through higher portfolio effect and asynchrony. Preserving diverse communities within the heterogeneous Mediterranean landscapes helps maintain the stability of pollination services, both through increased asynchrony and portfolio effect., Peer reviewed

18 pages. -- The file includes 2 tables and 3 figures: Table S1. List of strains organized in groups following the core-genome phylogeny; genome characteristics and accession numbers; Table S2. List of the housekeeping genes (marked with dots) used for the reconstruction of the phylogenetic trees based on 120 universal gene sequences (Fig. S2), on 90 selected universal genes (Fig. 2) and 83 gene sequences selected in the autoMLST analysis and based (Fig. 3); Figure S1. 16S rRNA-based phylogenetic tree of the Pseudomonadaceae type strains analyzed in the present study. Sequences are 1,380 nt long. Distance matrix was generated by Jukes and Cantor method (JC) and the tree was reconstructed with neighbor-joining (NJ) as implemented in the MEGA package. Bootstrap values higher than 50 from 100 replicates are indicated in the nodes. To facilitate viewing, the tree has been divided into sections: the collapsed tree; Fig. S1a and S1b with the P. fluorescens, P. lutea, P. syringae and P. putida groups; Fig. S1c with the other phylogenetic groups.; Figure S2. Phylogenetic tree obtained at the AnnoTree web site, a web tool to facilitate visualization of genome annotations in which phylogenetic and taxonomy information is derived from the GTDB database. The tree was downloaded in Newick format and visualized with MEGA.; Figure S3. UPGMA dendrogram representing the POCP and AAI values of representative strains of the phylogenetic branches., Peer reviewed

An object that is immersed in a fluid and approaching a substrate may find a potential energy minimum at a certain distance due to the balance between attractive and repulsive Casimir–Lifshitz forces, a phenomenon referred to as quantum trapping. This equilibrium depends on the relative values of the dielectric functions of the materials involved. Herein, we study quantum trapping effects in planar nanocomposite materials and demonstrate that they are strongly dependent on the characteristics of the spatial inhomogeneity. As a model case, we consider spherical particles embedded in an otherwise homogeneous material. We propose an effective medium approximation that accounts for the effect of inclusions and find that an unprecedented and counterintuitive intense repulsive Casimir–Lifshitz force arises as a result of the strong optical scattering and absorption size-dependent resonances caused by their presence. Our results imply that the proper analysis of quantum trapping effects requires comprehensive knowledge and a detailed description of the potential inhomogeneity (caused by imperfections, pores, inclusions, and density variations) present in the materials involved., Peer reviewed

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Supplementary figures., Peer reviewed

The supporting information: Table S1, Discriminant sensory analysis of different formulations of Colada; Table S2, Hedonic evaluation of Colada (15% Maracuyá juice) by consumers. Figure S1. Chromatogram (GC) of fatty acid methyl esters (FAME) of the whey-beverage (Colada) before the in vitro digestion. Figure S2. Chromatogram (GC) of fatty acid methyl esters (FAME) of the whey-beverage (Colada) after the in vitro digestion (bioaccessible fraction). Figure S3. Chromatogram (HPLC) of amino acids of the whey-beverage (Colada) (acid hydrolysis). Figure S4. Chromatogram (HPLC) of amino acids of the whey-beverage (Colada) (performic oxidation), Peer reviewed

1 figure., A-M) Confocal images showing YFP fluorescence of transgenic lines expressing the indicated fusion proteins behind the P35S promoter. Scale bar, 20 μm., Peer reviewed