Resultados de investigación

[Description of methods used for collection/generation of data] We use available information from mycorrhizal databases to assign mycorrhizal type and status to our sampled plant species. Two databases were reviewed, Bueno et al. (2017) and FungalRoot (2020). Bueno et al. has info at the species level, while FungalRoot has multiple observations per species. For this reason, a species was assigned to a particular mycorrhizal type, whether the number of observations was equal or higher than 70 %, otherwise we assigned multiple associations. In the case of species that did not match with both databases, mycorrhizal type was assigned based on information at the genus, tribe or family level. Once each species was classified to a particular mycorrhizal type, we followed to assign their status. References: - Soudzilovskaia, N. A., Vaessen, S., Barcelo, M., He, J., Rahimlou, S., Abarenkov, K., ... & Tedersoo, L. (2020). FungalRoot: global online database of plant mycorrhizal associations. New Phytologist, 227(3), 955-966. - Bueno, C. G., Moora, M., Gerz, M., Davison, J., Öpik, M., Pärtel, M., ... & Zobel, M. (2017). Plant mycorrhizal status, but not type, shifts with latitude and elevation in Europe. Global Ecology and Biogeography, 26(6), 690-699., Our aim was to register and characterize, throughout bibliographic review of published databases, the mycorrhizal type (AM, ECM, ERM, NM, AM+NM, ECM+NM,ERM+NM, ECM+AM+NM) and status (OM, FM, NM) of Mediterranean woody plant species sampled across the Andalusian Red Natura 2000. Here, we included a total of 243 plant species sampled across 38 plant communities from 19 protected areas distributed within the Andalusian RedNatura 2000., This work was funded (1) by Proyecto FEDER SUMHAL-Sustainability for Mediterraean Hospost in Andalusia integrating LifeWatch ERIC [Work Package 5. Task 5.1.2. Development of the data standard. Repository development.] (LifeWatch ERIC – FEDER, POPE 2014-2020; Ministerio de Ciencia e Innovación, Spain); (2) Proyecto COEXMED I: Coexistence of woody plants in Mediterranena forests: intransitive interactions and negative density dependence in recruitment dynamics (CGL2012-36776, FEDER y Ministerio de Economia y Competitividad, Spain); (3) Proyecto COEXMED II: Especificidad de las interacciones adulto-juvenil durante el reclutamiento de plantas leñosas: complementariedad de caracteres funcionales e interacciones plant-antagonista (CGL2015-69118-C2-1-P, FEDER y Ministerio de Economia y Competitividad, Spain); (4) Proyecto REPNETS-Redes de reemplazamiento en bosques: variación ecogeográfica e influencia de las comunidades de hongos de la filosfera y de las interacciones planta-suelo (PGC2018-100966-B-I00, FEDER - Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación, Spain); (5) CSIC is acknowledged for supporting Open Access publication., Mediterranean_woody_plants_mycorrhizal_type-status.csv [shows the list of woody plant species sampled across the Andalusian Red Natura 2000 with their respective assignment of mycorrhizal type and status based on 'Mycorrhizal_type_Bueno.csv' and 'Mycorrhizal_type_FungalRoot.csv'] Mycorrhizal_type_Bueno.csv [has proccessed information about plant species mycorrhizal type from Bueno et al. (2017)] Mycorrhizal_type_FungalRoot.csv [has proccessed information about plant species mycorrhizal type from FungalRoot (2020)] Plant_taxonomic_info.csv [shows the list of woody plant species with their taxonomic adscription Class/Order/Family/Genus] Plant_community_info.csv [has information about sampled plant communities] Metadata.csv [records information about the meaning of columns in 'Mediterranean_woody_plants_mycorrhizal_type-status.csv', 'Mycorrhizal_type_Bueno.csv', 'Mycorrhizal_type_FungalRoot.csv', 'Plant_taxonomic_info.csv', and 'Plant_community_info.csv ' files], Peer reviewed

Financial support was obtained from projects CGL-2009-10883-C02-02, CGL2012-40229-C02-01 and CGL2015-69338-C2-2-P and PID2019-109303GB-I00 from Ministerio de Economía y Competitividad, MINECO, Spanish Government., Peer reviewed

Dataset of the Checklist of the Vascular Plants of Río Muni (Equatorial Guinea), An updated checklist of the vascular plants from the continental region of Equatorial Guinea, Río Muni is presented. The catalogue (Appendix 1) is the result of the compilation of identified herbarium specimens (6850), bibliographic references with species records (7985) and online databases (10109 GBIF records and 8897 RAINBIO records). A database of 23517 georeferenced vascular plant records was prepared by updating the nomenclatural and standardizing the locality names from all these sources. The catalogue comprises 2707 taxa (2598 species, 81 subspecies, and 28 varieties) included in 1020 genera and 178 families. About 90.6% of the taxa are considered native, 1.17% introduced and 5.96% naturalized. The 10 most diverse families are Rubiaceae (294 species), Fabaceae (290), Orchidaceae (168), Poaceae (105), Euphorbiaceae (87), Apocynaceae (85), Cyperaceae (79), Annonaceae (68), Acanthaceae (65 ) and Melastomataceae (61), which comprise 49.22% of the species in Río Muni. Only 11 species can be considered endemic to Río Muni; this low number reflects the absence of natural barriers in the territory. The number of threatened taxa (VU, EN and CR) is 134 (5.02% of the total evaluated), of which 43 are at risk of extinction, being within the categories of Endangered or Critically Endangered. Five species with restricted distribution to the Gulf of Guinea are considered threatened: three Endangered (Grossera angustifolia, Polyscias aequatoguineensis and Rhipidoglossum montealenense), and two Critically Endangered (Asplenium carvalhoanum and Macropodiella uoroensis), thus they should be considered as priority in management plans development and conservation strategies., Peer reviewed

Dataset of the Localities of Río Muni with geographic coordinates, An updated checklist of the vascular plants from the continental region of Equatorial Guinea, Río Muni is presented. The catalogue (Appendix 1) is the result of the compilation of identified herbarium specimens (6850), bibliographic references with species records (7985) and online databases (10109 GBIF records and 8897 RAINBIO records). A database of 23517 georeferenced vascular plant records was prepared by updating the nomenclatural and standardizing the locality names from all these sources. The catalogue comprises 2707 taxa (2598 species, 81 subspecies, and 28 varieties) included in 1020 genera and 178 families. About 90.6% of the taxa are considered native, 1.17% introduced and 5.96% naturalized. The 10 most diverse families are Rubiaceae (294 species), Fabaceae (290), Orchidaceae (168), Poaceae (105), Euphorbiaceae (87), Apocynaceae (85), Cyperaceae (79), Annonaceae (68), Acanthaceae (65 ) and Melastomataceae (61), which comprise 49.22% of the species in Río Muni. Only 11 species can be considered endemic to Río Muni; this low number reflects the absence of natural barriers in the territory. The number of threatened taxa (VU, EN and CR) is 134 (5.02% of the total evaluated), of which 43 are at risk of extinction, being within the categories of Endangered or Critically Endangered. Five species with restricted distribution to the Gulf of Guinea are considered threatened: three Endangered (Grossera angustifolia, Polyscias aequatoguineensis and Rhipidoglossum montealenense), and two Critically Endangered (Asplenium carvalhoanum and Macropodiella uoroensis), thus they should be considered as priority in management plans development and conservation strategies., Peer reviewed

Los datos se extrajeron de Twitter Analytics al finalizar cada mes del 2022. Se descargaron los ficheros con los datos por meses en csv y se compilaron en un fichero Excel con 12 hojas., Documento que contiene los tweets publicados por @DigitalCSIC en 2022., No

Los datos se extrajeron de Twitter Analytics al finalizar cada mes del 2022. Se descargaron los ficheros con los datos por meses en csv y se compilaron en un fichero Excel con 12 hojas., Documento que contiene los tweets publicados en 2022., Peer reviewed

Data acquisition: Satellite: ESA SMOS mission (Soil Moisture and Ocean Salinity), ECMWF skin temperature at 12 UTC and 16-dayTerra MODIS NDVI version 6.1 Filenames: BEC_SM____SMOS__EUM_L4__X_YYYYMMDDTHHMMSS_001km_1d_REP_v6.1.nc, being: - X the half-orbit type (A for ascending and D for descending), - YYYYMMDDTHHMMSS the central date (year, month, day, hour, minute and second) in Coordinated Universal Time (UTC) of the period covered by the file. Time resolution: Daily. Maps frequency generation: Daily. Sensor: Satellite SMOS / MIRAS. Spatial resolution: 1 km x 1 km. Spatial grid: WGS_84 / EASE2_M01km, Improvement of the current SMOS soil moisture products produced by the Barcelona Expert Centre (BEC) and development of new added-value products and/or applications over land., INTERACT. Enfoques sinergéticos para una nueva generación de productos y aplicaciones de observación de la Tierra (PID2020-114623RB-C31). Ministerio de Ciencia e Innovación a través de PN2020 - PROY I+D+I – Programa Estatal de I+D+I Orientada a los Retos de la Sociedad – Plan Estatal de Investigación Científica Técnica y de Innovación 2017-2020., With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), · Surface soil moisture (SM) · Quality flag of surface soil moisture (quality_flag) · Time (time) · Latitude (lat) · Longitude (lon) · Coordinate reference system (crs), Peer reviewed

This dataset corresponds to a comprehensive study of splice-site variants of the breast cancer susceptibility gene CHEK2. Variant data have been obtained from the large-scale sequencing project BRIDGES that sequenced 34 genes in 113,000 women. A set of 128 CHEK2 variants at the intron-exon boundaries were identified, 52 of which were predicted spliceogenic. These were introduced into the three minigene constructs by site-directed mutagenesis and tested in MCF-7 cells. Forty-six variants impaired splicing, 26 of which were classified as pathogenic/likely pathogenic variants according to ACMG/AMP-based guidelines, so carrier patients and families may benefit from tailored prevention protocols and personalized therapies., Eladio A. Velasco (EAV) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 634935. EAV lab is supported by grants from the Spanish Ministry of Science and Innovation, Plan Nacional de I+D+I 2013-2016, ISCIII (PI17/00227 and PI20/00225) co-funded by FEDER from Regional Development European Funds (European Union) and from the Consejería de Educación, Junta de Castilla y León, ref. CSI242P18 (actuación cofinanciada P.O. FEDER 2014-2020 de Castilla y León). Lara Sanoguera-Miralles is supported by a predoctoral fellowship from the AECC-Scientific Foundation, Sede Provincial de Valladolid (2019–2023). Elena Bueno-Martínez is a postdoctoral researcher funded by the University of Valladolid (POSTDOC-UVA05, 2022-2025)., Folder: cDNA_Sequences. Transcript Sequencing. Sub-Folders: cDNA microdeletions CHEK2 1-7 c.684-2G; cDNA_minigenes CHEK2 1-7; cDNA_minigenes CHEK2 6-10; cDNA_minigenes CHEK2 6-14 WT y mutantes; cDNA_minigenes CHEK2 11-15; cDNA_minigenes WT.-- Folder: Fragment_Analysis. Fluorescent Fragment Analysis. Sub-Folders: Fragment_Analysis_microdeletions CHEK2 1-7 c.684-2G; Fragment_Analysis_minigenes CHEK2 1-7; Fragment_Analysis_minigenes CHEK2 6-10; Fragment_Analysis_minigenes CHEK2 6-14 y mutantes; Fragment_Analysis_minigenes CHEK2 11-15; Fragment_Analysis_minigenes WT.-- Folder: Minigenes_Sequences. Sequence files of wild type and mutant constructs. Sub-folders: Microdeletions_CHEK2 1-7-c.684-2G; Minigene_CHEK2 1-7; Minigene_CHEK2 6-10; Minigene_CHEK2 6-14 WT y mutant; Minigene_CHEK2 11-15; minigene_WT., Peer reviewed

[Methods] Data are compiled from published references, in all cases, the reference is provided., 1. Many internal (inherent) and environmental (imposed) factors control seed dormancy and germina-tion from which we can derive three basic dormancy-release pathways: Maternal structures and embryo physiology control inherent dormancy that is broken by various types of scarification and physiological changes, followed by imposed-dormancy release when replaced by certain ‘standard’ environmental conditions that stimulate germination (pathway 1); imposed dormancy prevails even if inherent dorman-cy is broken or not applicable that is released when replaced by certain ‘standard’ environmental condi-tions which stimulate germination (pathway 2); release from inherent dormancy by light/dark or cold stratification is contingent on existing presence of certain ‘standard’ environmental conditions that stim-ulate germination (pathway 3). 2. On-plant seed storage (serotiny) and frugivorous seeds are recognized here as representing special types of physical dormancy, as their properties are consistent with those of hard diaspores. Warm stratification does not require seeds to be moist as it is just a physical response. Heat may promote germination of non-hard, as well as hard, seeds as it may also increase their permeability. 3. Levels of germination gauge the net effect of inherent- and imposed-dormancy release so that it only possible to identify the extent of inherent-dormancy release when conditions for germination are optimal (imposed dormancy has been annulled). While imposed dormancy may be protracted after inherent dormancy is broken by heat or chilling during the dry or cold seasons, release from both states may effectively coincide if smoke chemicals or light are received during the (wet) growing sea-son. 4. We suggest reserving the term secondary dormancy for seeds that return to (inherent or imposed) dormancy due to changed environmental conditions. Under seasonal climates, fluctuations in envi-ronmental conditions can lead to secondary dormancy and even dormancy cycling. 5. We recognize four types of functional interactions between any two environmental factors that induce inherent-dormancy release: binary interactions are either ineffective, only one effective, non-additive or additive/synergistic. Two environmental stimuli that individually break dormancy but have no additive effect must be affecting the same process; this was demonstrated here for some interac-tions between heat and smoke. 6. The three dormancy-release pathways, together with internal, seasonal and stochastic interact ions, are coordinated by the non-dormant seed to ensure maximum germination under optimal conditions. To ignore any aspect outlined here leads to an impoverished understanding of the disparate seed ecol-ogy of species adapted to different stressful and disturbance-prone habitats., Generalitat Valenciana, Award: PROMETEO/2021/040 (FocScales)., Peer reviewed

[Methods] ABR DATA: obtained by ABR recording in a Tucker David Technology RZ6 Auditory Workstation using BioSigRZ software EVANS BLUE DATA: obtained by fluorimetry in a Glomax™ Luminometer and Microplate Reader (Promega) (620/680 nm excitation/emission wavelength). GENE EXPRESSION DATA: obtained by Real-Time PCR and analyzed by QuantStudio™ Real-Time PCR software 1.3. PCR array obtained using the PCR array RT² Profiler™ Rat Innate & Adaptive Immune Responses (Qiagen, #PARN-052Z) and analyzed with Geneglobe (Qiagen). MRI DATA: images obtained with a horizontal 7.0-Tesla Bruker BioSpec® system (Bruker Medical GmbH) running ParaVision 6.0.1 on a Linux environment. Data analysis was performed with Fiji software. OPTICAL IMAGING DATA: images obtained with a Zeiss AxioPhot microscope (Carl Zeiss). Data analysis was performed with Fiji software. FLUORESCENCE DATA: images obtained with an epifluorescence (Nikon 90i) and confocal laser-scanning (Zeiss LSM710) microscopes. Data analysis was performed with Fiji software. WB DATA: Immunoreactive bands revealed using the Clarity™ Western ECL Substrate (Bio-Rad), and images were captured with the ImageQuant LAS4000 mini digital camera using ImageQuant TL software 8.1 (GE Healthcare)., SPIRALTH-CIBERER ER17PE12., 1) ABR DATA ABR_DATA ANALYSIS ABRA_RAW DATA 2) EVANS BLUE DATA EVANS BLUE RAW DATA EVANS BLUE ANALYSIS 3) GENE EXPRESSION DATA 3.1) HEATMAP HEATMAPPER DATASET HEATMAP IN HOUSE ANALYSIS HEATMAP RT2 PROFILER PCR ARRAY DATA ANALYSIS_Placa3693-3694 3.2) QPCR PLS PLUS SPT-2101 QPCR SELECCION ARRAY 3.3) QPCR LPS TIME COURSE SPSS LPS TIME COURSE LPS TIME COURSE STATISTICS 3.4) QPCR STRIAL DAMAGE STRIAL GENES DATA ANALYSIS QPCR STRIAL GENES 4) MRI DATA MRI RAW DATA MRI LPS PLUS TREATMENTS_DATA ANALYSIS MRI_LPS TIME COURSE DATA ANALYSIS 5) OPTICAL AND FLUORESCENCE MICROSCOPY DATA 5.1) HAIR CELL-SYNAPSIS HC-SYNAPSIS RAW DATA STATISTICS HCs STATISTICS SYNAPSIS 5.2) IF STRIA SPSS DESMIN COVERAGE STATISTICS DESMIN COVERAGE DESMIN COVERAGE 5.3)STRIA AREA STRIA MORPHOLOGY RAW DATA STRIA AREA DATA ANALYSIS 5.4) IF SPIRAL GANGLION AND LIGAMENT IBA1 GANGL DATA IBA1 LIG DATA IBA1 GANGL ANALYSIS IBA1 LIG DATA ANALYSIS 6) WB DATA WB NLRP2 AND NRF2 DATA NLRP3 IMAGES NRF2 IMAGES VINCULIN IMAGES, Peer reviewed