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Major bacterial agents in a Mediterranean holm-oak forest recovery after a fire, El cambio global es un hecho constatado e incuestionable. Además de los procesos de tipo industrial existen otros factores, como los incendios forestales, que también contribuyen al calentamiento global dada la alta emisión de CO2 que producen. Disminuir la concentración de CO2 atmosférico, evitar su incremento o ayudar a su acumulación en la materia orgánica del suelo, se puede ver beneficiado por un correcto manejo del monte mediterráneo. Una rápida re-vegetación o recuperación de las formaciones autóctonas como son los encinares y robledales (Quercus ilex sp. rotundifolia y Q. pyrenaica) pueden ayudar en este sentido. Conocer las posibles etapas de modificación de estos bosques, expansión o regresión, por efecto del cambio climático también es importante, sobre todo si podemos contribuir a la progresión y al establecimiento de una mayor superficie de bosque. Los microorganismos del suelo son los responsables del cierre del ciclo biogeoquímico del carbono, contribuyendo además a la fertilidad del suelo y a la promoción del crecimiento vegetal. Por tanto en este proyecto se propone, la identificación de microorganismos indicadores que nos permitan seguir la evolución de la recuperación después de un incendio, la transición robledal-encinar y la progresión del robledal, como medida del cambio climático. Para ello se proponen los siguientes objetivos específicos:i) Análisis del fingerprint genético mediante TGGE de la diversidad microbiana y la redundancia funcional de fijación de N2 en los suelos bajo robles maduros y en progresión en alturas superiores.ii) Construcción y análisis de metagenomas de los suelos de encinar y robledal.iii) Secuenciación masiva del ADN ambiental extraído de un encinar y de un robledal maduros para la identificación de bioindicadores.iv) Monitorización, a los 2 y 4 años, de la evolución del encinar quemado y del robledal en progresión en altura mediante el empleo de los bioindicadores seleccionados.

The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL., List of experimental data:, No

This item is made of 2 files, of which 1 is the dataset in netcdf format and the other (Readme .txt) include a small description of the computed variables.-- Dataset contributed to the Project STRAMIX (STRAtification and MIXing in a coastal upwelling driven estuary, CTM2012-35155).-- Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). The STRAMIX team appreciates that users of these data: 1) Contact Miguel Gil Coto (mgilcoto@iim.csic.es) or Nicolás Villacieros (nvrobineau@iim.csic.es) to follow the uses of the data, and 2) Include the requested acknowledgment (cite using the DOI of this dataset and please also cite Gilcoto et al. 2017) in any presentations or publications, Average directional wave spectrum from 28118 wave spectra obtained from ADCP currents between june 2013 and August 2014 in the Ría de Vigo (NW Iberia, Atlantic Ocean), STRAMIX project. Waves Monitor Software (RDI) was used to obtain the 28118 individual wave spectra. Criteria applied to compute parameters were: 20 minutes bursts with tilt and current correction every 10 minutes, maximum wave period of 28.6 s, sea-swell transition period of 7.3 s, 256 frequency bands, and 180 angles, Funding for this study was provided by the Spanish Ministry of Economy and Competitiveness under the STRAMIX (CTM2012-35155) research project, No

Phagotrophic mixotrophs (mixoplankton) are now widely recognised as important members of food webs, but their role in the functioning of food webs is not yet fully understood. This is because of the lack of a well-established technique to estimate mixotrophy. An immediate step in this direction would be the development of a method that separates mixotrophic from heterotrophic grazing that can be routinely incorporated into the common techniques used to measure microplankton herbivory (e.g., the dilution technique). This idea was explored by the addition of rotenone, an inhibitor of the respiratory electron chain that has been widely used to selectively eliminate metazoans, both in the field and in the laboratory. Accordingly, rotenone was added to auto-, mixo-, and heterotrophic protist cultures in increasing concentrations (ca. 24 h). The results showed that mixotrophs survived better than heterotrophs at low concentrations of rotenone. Nevertheless, their predation was more affected, rendering rotenone unusable as a heterotrophic grazing deterrent. Additionally, it was found that rotenone had a differential effect depending on the growth phase of an autotrophic culture. Altogether, these results suggest that previous uses of rotenone in the field may have disrupted the planktonic food web, Marie Skłodowska-Curie grant agreement No 766327, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)

It remains unclear as to how mixoplankton (coupled phototrophy and phagotrophy in one cell) affects the estimation of grazing rates obtained from the widely used dilution grazing technique. To address this issue, we prepared laboratory-controlled dilution experiments with known mixtures of phyto-, protozoo-, and mixoplankton, operated under different light regimes and species combinations. Our results evidenced that chlorophyll is an inadequate proxy for phytoplankton when mixoplankton are present. Conversely, species-specific cellular counts could assist (although not fully solve) in the integration of mixoplanktonic activity in a dilution experiment. Moreover, cell counts can expose prey selectivity patterns and intraguild interactions among grazers. Our results also demonstrated that whole community approaches mimic reality better than single-species laboratory experiments. We also confirmed that light is required for protozoo- and mixoplankton to correctly express their feeding activity, and that overall diurnal grazing is higher than nocturnal. Thus, we recommend that a detailed examination of initial and final plankton communities should become routine in dilution experiments, and that incubations should preferably be started at the beginning of both day and night periods. Finally, we hypothesize that in silico approaches may help disentangle the contribution of mixoplankton to the community grazing of a given system, Marie Skłodowska-Curie grant agreement No 766327. [...] With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)

The Live Fluorescently Labelled Algae (LFLA) technique has been used numerous times to estimate micro-zooplankton herbivory. Yet, it is unknown how mixoplankton (i.e., single-cell organisms that can combine phototrophy and phagotrophy) affect the outcome of this technique. Hence, we conducted a broad-spectrum assessment of the strengths and weaknesses of the LFLA technique, using several mixoplanktonic and proto-zooplanktonic grazers. Species from different taxonomic groups and different feeding mechanisms were tested in short-term experiments (ca. 5 h) in the laboratory, at different prey concentrations and during light and dark periods of the day. Overall, our findings suggest that the LFLA technique, due to its short-term nature, is an effective tracker of diel ingestion and digestion rates, and can detect new mixoplanktonic predators. We recommend that, irrespective of the prey concentration, incubations to measure grazing rates with this technique should generally be concluded within 1 h (adaptable to the environmental temperature). Nevertheless, our results also call for caution whenever using LFLA in the field: feeding mechanisms other than direct engulfment (like peduncle feeding) may provide severely biased ingestion rates. Furthermore, size and species selectivity are very hard to circumvent. To reduce the effects of selectivity, we propose the combined use of two distinctly coloured fluorochromes (i.e., distinct emission spectra). With this modification, one could either label different size ranges of prey or account for species-specific interactions in the food web, Marie Skłodowska-Curie grant agreement No 766327. [...] With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)

Feeding rates, fecal production rates, egg production rates and gross-growth efficiencies of the copepod Paracartia grani offered a variety of phytoplankton, protozooplankton and mixoplankton in monodiet. See Excel file for details, This research was supported by EC MSCA-ITN 2019 funding to the project MixITiN (Grant Number 766327), With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed

Feeding and egg production rates of the copepods Paracartia grani and Centropages typicus feeding on the dinoflagellate Karlodinium veneficum under different nutrient and trophic conditions. See more details in the Excel file, This research was supported by EC MSCA-ITN 2019 funding to the project MixITiN (Grant Number 766327), With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed

[Data] Sequences of 150 bp cDNA paired-end recorded in FASTQ format and contained in files fq.gz. Two files for each sample because Sample1_1.fq.gz and Sample1_2.fq.gz contain read1 and read2 for paired-end sequencing of Sample1. More information in file Rawdata.readme.pdf [Files names ] A1_1.fq.gz: resistant inbred bulk, biological replicate 1, read1 A1_2.fq.gz: resistant inbred bulk, biological replicate 1, read2 A2_1.fq.gz: resistant inbred bulk, biological replicate 2, read1 A2_2.fq.gz: resistant inbred bulk, biological replicate 2, read2 A3_1.fq.gz: resistant inbred bulk, biological replicate 3, read1 A3_2.fq.gz: resistant inbred bulk, biological replicate 3, read2 A4_1.fq.gz: susceptible inbred bulk, biological replicate 1, read1 A4_2.fq.gz: susceptible inbred bulk, biological replicate 1, read2 A5_1.fq.gz: susceptible inbred bulk, biological replicate 2, read1 A5_2.fq.gz: susceptible inbred bulk, biological replicate 2, read2 A6_1.fq.gz: susceptible inbred bulk, biological replicate 3, read1 A6_2.fq.gz: susceptible inbred bulk, biological replicate 3, read2 Rawdata.readme.pdf AVAILABLE SOON, Fusarium verticillioides has been known as a causing agent of maize ear rot for long time, but the discovery of fumonisins, mycotoxins produced by F. verticillioides, increased concerns on kernel infection by F. verticillioides. A bulk-segregant RNA-seq approach has been used to identify differentially expressed genes (DEG) between bulks of four resistant and four susceptible inbreds to Fusarium ear rot (FER) and kernel fumonisin contamination in order to uncover the pathways involved in resistance. All inbreds were originated from the same F2 population. Plants were selfcrossed and 15 days later the main ear of the plant was inoculated. RNA-seq analysis was done with RNA extracted from kernels collected 10 days after inoculation using three biological replicates for each bulk (different plants of each inbred were used in each replicate). Bulk samples were barcoded and prepared for sequencing at Novogene Co., Ltd, where 150 bp paired-end (PE) reads were obtained on an Illumina 1.9., Peer reviewed

Los datos se extrajeron de Twitter Analytics el 8 de febrero de 2022 y hacen referencia a todos los tweets creados en 2021. Se descargaron los Excel con los datos por meses en csv. Tras su conversión a Excel y ordenados por fecha ascendente se escogieron las siguientes columnas: Fecha - Texto del Tweet - Enlace permanente - Impresiones - Interacciones - Tasa de interacción (en %) - Retweets - Respuestas - Me gusta - Clics de perfil de usuario - Clics en URL - Clics de etiquetas - Ampliaciones de detalles - Visualizaciones multimedia - Interacciones con el contenido multimedia., Documento que contiene los tweets publicados por @DigitalCSIC en 2021 (95)., No