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- Document S1. Figures S1–S7. - Table S1. List of differentially expressed genes in WT vs. mutant samples at 12 dpa with statistical data and TPM for each sample, related to Figure 6C. - Table S2. List of differentially expressed genes in WT vs. mutant samples at 14 dpa with statistical data and TPM for each sample, related to Figure 6C. - Table S3. Overlapping genes from the intersection of 12 dpa and 14 dpa lists of differentially expressed genes with statistical data and TPM for each sample, related to Figure 6C. - Table S4. Functional annotation results from common DEGs at 12 and 14 dpa that were upregulated in the WT blastema, related to Figure 6D. - Table S5. Functional annotation results from common DEGs at 12 and 14 dpa that were upregulated in the mutant blastema, related to Figure 6E. - Document S2. Article plus supplemental information., Peer reviewed

DNA extraction protocol (Cobas® DNA Sample Preparation Kit) Table S1. Panel of 29 genes analyzed with next generation sequencing, and distinction between nephropathic and phenocopy genes Table S2. Total variants, silent and non-silent mutations in FSGS patients Table S3. List of variants based on the UnifiedGenotyper and ACMG score Tabla S4. Frequency of variants annotated found in our study ..., Peer reviewed

This dataset contains the data and scripts required to reproduce the analyses in Toro-Delgado et al. (J. Anim. Ecol.). It contains the temperature measurements from Catalonia, the R scripts to conduct the statistical analyses, and Python scripts to download the solar radiation data from the Copernicus Atmospheric Monitoring Service (CAMS). The temperature data from Great Britain was released in Bladon et al. (2020)., [Description of the data and file structure] The "Data" folder contains the file "Butterfly_Thermoregulation_Data.txt", a tab-separated file containing the data gathered from the field in Catalonia. The column meanings are as follows: Order: a numbered column, to be able to recover the original order of the rows. Time: Hour of the measurement (in CEST, 24-hour format). Species: the species of butterfly being measured (scientific name). Code: field code used to identify the specimen. GPS_Y (): the latitude, in decimal format. GPS_X(): the longitude, in decimal format. Slope: categorical variable classifying the slope of the terrain in ranges. Aspect: the orientation of the slope on a compass (direction of ascent). Cells containing N/A are those for which slope is of 0 degrees, i.e. flat areas, and so no aspect can be applied to these (there is no direction of ascent if the ground is flat). Veg.Type: categorical variable describing the vegetation type. Manage: variable indicating if there are signs of some type of human management. Empty cells correspond to missing data, as this variable was not recorded for that particular observation. They are purposefully left blank in order not to interfere with the scripts. Shelter: variable indicating if the spot in which the butterfly was detected was fully exposed to the wind (1) or fully sheltered (5), measured at chest height and 5m from the point. Sunny: variable indicating how sunny it was; either fully sunny (S), mostly sunny (SSN), half sunny (SN), mostly cloudy (SNN) or fully cloudy (N). Tair: temperature of the air, at waist height and in the shade, at the moment of capture of the butterfly. In degrees Celsius. Empty cells correspond to missing data, as this variable was not recorded for that particular observation. They are purposefully left blank in order not to interfere with the scripts. Tbody1: first measurement of butterfly thoracic temperature at the time of capture; in degrees Celsius. Empty cells correspond to missing data, as this variable was not recorded for that particular observation. They are purposefully left blank in order not to interfere with the scripts. Pbody1: position from which the thoracic temperature was measured; on the side of the thorax (L) or on the dorsal part (D). Tperch: temperature of the substrate the butterfly was on (measured only when it was not flying). Empty cells correspond to observations of butterflies that were flying, so this variable did not apply to these observations and hence it could not be recorded. Tair_perch: temperature of the air surrounding the substrate on which the butterfly was place (approximately 2cm above it). Empty cells correspond to observations of butterflies that were flying, so this variable did not apply to these observations and hence it could not be recorded. Activity: categorical variable indicating what the butterfly was doing when first sighted. Height(cm): the height at which the butterfly was. Plant: species of plant OR type of substrate on which the butterfly was found. Empty cells correspond to observations of butterflies that were flying, so this variable did not apply to these observations and hence it could not be recorded. Sp.Chase: if the butterfly was chasing/being chased by another, the species of the second butterfly. Empty cells correspond to observations of butterflies that were not chasing nor being chased by another, so this variable did not apply to these observations and hence it could not be recorded. As most butterflies were not not in a chase, this column consist mostly of empty cells. Sex: sex of the specimen being measured (if known). Empty cells correspond to specimens for which sex could not be determined. Wing_length: length of the forewing, measured from the base (“shoulder”) to the tip. In millimetres. Empty cells correspond to missing data, as this variable was not recorded for that particular observation. Location: whether the locality is in the lowland or in the mountains (Pyrenees). Country: the country in which the butterfly was captured and measured. Locality: the locality in which the butterfly was captured and measured. Captured: whether the butterfly was captured and taken to the lab for other studies or released after measuring the temperature measure. Empty cells are left deliberately this way, instead of being filled with N/A, to ensure proper functioning with the provided scripts., [Sharing/Access information] Temperature data for the British butterflies is available at: https://datadryad.org/stash/dataset/doi:10.5061/dryad.z08kprr9n(opens in new window) The data provided here (temperature measurements of Spanish butterfly populations) was collected by the authors, [Code/Software] The “Scripts” folder contains: The “Analysis” folder, with several R scripts with the required code to reproduce all statistical analyses. This was originally done with R 4.1.3. The "worldclim_analysis.R" script can be used to reproduce the analysis of WorldClim data to characterise the climate of both Catalonia and Great Britain; the "GAM_models_buffering_mechanisms" can be used to reproduce the GAM models; the "Master_script.R" script contains the rest of analyses. The “CAMS_solar_radiation_data_download” folder, with multiple Python scripts used to automate the download of the solar radiation data from CAMS. Note that, to be able to use these, the reader will have to register on the CAMS website and obtain access credentials, and then replace the “credentials_file” variable at the beginning of each Python script with the path to the file containing the credentials. More details are available at: https://ads.atmosphere.copernicus.eu/api-how-to, Understanding how different organisms cope with changing temperatures is vital for predicting future species’ distributions and highlighting those at risk from climate change. As ectotherms, butterflies are sensitive to temperature changes, but the factors affecting butterfly thermoregulation are not fully understood. We investigated which factors influence thermoregulatory ability in a subset of a Mediterranean butterfly community. We measured adult thoracic temperature and environmental temperature (787 butterflies; 23 species) and compared buffering ability (defined as the ability to maintain a consistent body temperature across a range of air temperatures) and buffering mechanisms to previously published results from Great Britain. Finally, we tested whether thermoregulatory ability could explain species’ demographic trends in Catalonia. The sampled sites in each region differ climatically, with higher temperatures and solar radiation but lower wind speeds in the Catalan sites. Both butterfly communities show nonlinear responses to temperature, suggesting a change in behaviour, from heat-seeking to heat avoidance, at approximately 22 °C. However, the communities differ in the use of buffering mechanisms, with British populations depending more on microclimates for thermoregulation compared to Catalan populations. Contrary to the results from British populations, we did not find a relationship between region-wide demographic trends and butterfly thermoregulation, which may be due to the interplay between thermoregulation and the habitat changes occurring in each region. Thus, although Catalan butterfly populations seem to be able to thermoregulate successfully at present, evidence of heat avoidance suggests this situation may change in the future., Spanish National Research Council, Award: JAEINT_20_00248, Departament de Recerca i Universitats, Award: FI-1 00556, Ministerio de Ciencia, Innovación, Award: PID2020-117739GA-I00 MCIN / AEI / 10.13039/501100011033, Isaac Newton Trust, Award: RG89529, Wellcome Trust, Award: RG89529, University of Cambridge, Award: RG89529, Natural Environment Research Council, Award: NE/V007173/1, Ministerio de Ciencia, Innovación y Universidades, Award: FPU22/02358, European Social Fund Plus, Award: FI-1 00556, Peer reviewed

The globally expanding threat of antibiotic resistance calls for the development of new strategies for abating Gram-negative bacterial infections. The use of extracorporeal blood cleansing devices with affinity sorbents to selectively capture bacterial lipopolysaccharide (LPS), which is the major constituent of Gram-negative bacterial outer membranes and the responsible agent for eliciting an exacerbated innate immune response in the host during infection, has received outstanding interest. For that purpose, molecules that bind tightly to LPS are required to functionalize the affinity sorbents. Particularly, anti-LPS factors (ALFs) are promising LPS-sequestrating molecules. Hence, in this work, molecular dynamics (MD) simulations are used to investigate the interaction mechanism and binding pose of the ALF isoform 3 from Penaeus monodon (ALFPm3), which is referred to as “AL3” for the sake of simplicity, and lipid A (LA, the component of LPS that represents its endotoxic principle). We concluded that hydrophobic interactions are responsible for AL3–LA binding and that LA binds to AL3 within the protein cavity, where it buries its aliphatic tails, whereas the negatively charged phosphate groups are exposed to the medium. AL3 residues that are key for its interaction with LA were identified, and their conservation in other ALFs (specifically Lys39 and Tyr49) was also analyzed. Additionally, based on the MD-derived results, we provide a picture of the possible AL3–LA interaction mechanism. Finally, an in vitro validation of the in silico predictions was performed. Overall, the insights gained from this work can guide the design of novel therapeutics for treating sepsis, since they may be significantly valuable for designing LPS-sequestrating molecules that could functionalize affinity sorbents to be used for extracorporeal blood detoxification., Peer reviewed

Triboemission_data.xlsx DVS_data.xlsx N2_isotherm_data.xlsx He pycnometry_data.xlsx Raman_data.xlsx, Mortar blocks with addition of recycled polyurethane fibers (PUF) were subjected to abrasion using an original pin-on-disk tribometer in order to investigate the kinetic parameters and emission mechanisms of fine and ultrafine aerosol nanoparticles and the effect of the fiber concentration on the mechanical, tribological, and triboemission properties. Three different samples, referred as A (20% substitution level), B (40%), and C (60%) and a reference sample (Ref.) were analyzed for this study. The abrasion was performed in an environment chamber with filtered air using a stationary alumina sphere, 20 mm in diameter, which was pressed against the rotating sample using a dead weight of 1.3 kg. The sliding speed was 1 m s-1. A quantitative methodology was employed to assess the deposition rate, particle size distribution, and emissivity. The triboemission properties were correlated with the pore structure, morphology and tribochemical transformations of the particles and worn surfaces. The specific surface area, distribution of micro- and mesopore sizes, and skeleton density were evaluated through a comprehensive analysis involving three distinct methods: dynamic water adsorption, N2 adsorption, and He pycnometry. The mechanically affected zones were characterized using white-light confocal microscopy and Raman spectroscopy. The function of the particle size distribution exhibited two modes, with the most probable particle size falling within the range of 115-156 nm. Interestingly, the PUFs addition did not changed considerably the size of the particles. The aggregation of PUFs resulted in a gradual increase in the volume of pores, particularly mesopores, as well as an increase in the specific surface area. The study's results demonstrated a decline in the deposition rate of aerosol particles within the 10 to 60 nm aerodynamic diameter range as the concentration of PUFs increased. This observation strongly suggested the occurrence of direct emission of polymeric aerosol particles resulting from the abrasion of PUFs. The findings of this research provide valuable insights into the intricate relationship between material composition, particle size distribution, porosity, and emission kinetics., The work was funded by the Ministry of Science and Innovation of Spain with the contribution from the European Regional Development Fund and the European Union NextGenerationEU / PRTR through the contracts PID2019-111063RB-I00, TED2021-129950B-I00 and PDC2022-134014-I00. Also, the support was provided by the Regional Government of Castilla y León (BU070P20)., Triboemission_data.xlsx DVS_data.xlsx N2_isotherm_data.xlsx He pycnometry_data.xlsx Raman_data.xlsx, Peer reviewed

[Description of methods used for collection/generation of data] Pollinator surveys, experimental determination of pollinator preference and effectiveness. [Methods for processing the data] R Statistical Software., The datasets include the information of the survays made during more than seven years in six populations of Moricandia arvensis (Brassicaceae) of the SE Spain during spring and summer (Dataset S1), the results of an experiment testing the preference of pollinators for both types of floral morphs of M. arvensis (spring floral morph and summer floral morph) done in field conditions both in spring and summer time (Dataset 2) and the results of an experiment testing the effectiveness of the pollinators of M. arvensis when visiting single flowers, both at the level of fruit production (Dataset 3) and seed production (Dataset 4)., Spanish Ministry of Science and Innovation (PID2021-126456NB, including EU FEDER funds), Junta de Andalucía (IE19_238 CSIC-EEZA) and LIFE4 Pollinators project (LIFE18 GIE/IT/000755), Dataset 1-4, Peer reviewed

Multimedia component 1: Tables and Figures., Peer reviewed

Figure S1: TEM images at lower magnification of PdNSs and PEG-PdNSs; Figure S2: Energy-dispersive X-ray spectroscopy analysis (EDS) of a PdNSs to determine the presence of Pd in the nanostructured., Peer reviewed

Pf of X. laevis oocytes injected with water (W, controls), or expressing non-tagged or Flag-tagged Atlantic halibut HhAqp1ab1-WT or sole SsAqp1ab2-WT. Oocytes injected with SsAqp1ab2-WT were co-injected with non-tagged halibut YwhazLb and exposed to FSK. The data are the mean ± SEM (n = 12 oocytes per treatment, indicated with dots above each bar)., Peer reviewed

Histological sections were incubated with Aqp1ab2-Nt and Aqp1ab2_v1 antisera preabsorbed with the immunizing peptides, indicating the specificity of the antibodies. Abbreviations: o, oocyte; y, yolk globule; gv, germinal vesicle; ve, vitelline envelope; cp, capillary; ca, cortical alveoli. Scale bars, 10 μm., Peer reviewed