Resultados de investigación

Extremophiles evolved capacities to survive extended exposure to harsh environmental conditions such as complete desiccation (anhydrobiosis) and freezing (cryobiosis). Accumulation of the three-carbon polyhydric alcohol glycerol is commonly observed in anhydrobiotic organisms, although it is considered to preferentially enhance cryobiosis rather than anhydrobiosis. Here, using dormant stages of the halophilic extremophile crustacean Artemia franciscana, we show that this role is reversed. We find that A. franciscana and related branchiopods evolved co-opted entomoglyceroporin (Eglp)-like aquaporin-type channels previously only characterized in hexapods. Phylogenomic and site-directed mutagenesis analyses indicate that EglpL orthologs likely evolved during the early Cambrian in the common ancestor of the Pancrustacea. RNAi-mediated knockdown experiments show that the A. franciscana EglpL glycerol transporter is subfunctionally co-regulated with canonical aquaglyceroporins (Glps) to mediate glycerol accumulation in the diapause cysts. Termination of diapause using either desiccation or hydrogen peroxide and further exposure of the cysts to freezing suggest that the acquired glycerol plays a more critical role in anhydrobiosis rather than cryobiosis. These findings uncover the essential role of evolutionary divergent aquaporin-type glycerol channels in the accrual of glycerol in an anhydrobiotic organism and reveal a previously overlooked function of this polyol for desiccation tolerance, Spanish Ministry of Science, Innovation and Universities (MICIU/AEI/https://doi.org/10.13039/501100011033) and the European Regional Development Fund (ERDF) “A way of making Europe” (European Union), Grant no. PID2019-103868RB-I00 (to J.C.) and PID2019-104483GB-I00 (to J.L.M.) Agency for Management of University and Research Grants (Government of Catalonia) Grant 2021 SGR 00068 (to J.C.). Spanish MICIU (PRE2020-092214). University of Bergen (Norway). Institutional support to CNAG was from the Spanish MICIU and Generalitat de Catalunya through the Departament de Recerca i Universitats and Departament de Salut. “Severo Ochoa Centre of Excellence” accreditation (CEX2019-000928-S) funded by the Spanish Agencia Estatal de Investigación (AEI)https://doi.org/10.13039/501100011033, Raw Data (FASTQ files) from samples. Count and Normalized expression matrices. DNA sequences. ERX13367886 Illumina NovaSeq 6000 paired end sequencing; ERX13367887 Illumina NovaSeq 6000 paired end sequencing; ERX13367888 Illumina NovaSeq 6000 paired end sequencing; ERX13367889 Illumina NovaSeq 6000 paired end sequencing; ERX13367891 Illumina NovaSeq 6000 paired end sequencing; ERX13367893 Illumina NovaSeq 6000 paired end sequencing; ERX13367894 Illumina NovaSeq 6000 paired end sequencing; ERX13383215 GridION sequencing; ERX13383216 GridION sequencing; ERX13383217 GridION sequencing; ERX13367896 Illumina NovaSeq 6000 paired end sequencing; ERX13367897 Illumina NovaSeq 6000 paired end sequencing; ERX13367890 Illumina NovaSeq 6000 paired end sequencing; ERX13367892 Illumina NovaSeq 6000 paired end sequencing; ERX13367895 Illumina NovaSeq 6000 paired end sequencing, Peer reviewed

This study describes the diversity and temporal dynamics of the microeukaryotic community in the biofilm of Mediterranean macroalgae during summer, focusing on parasitic groups, This study was funded by the Spanish Ministry of Science, Innovation, and Universities (MICINN) Project SMART PID2020-112978GB-I00, with institutional support from the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S). It also contributes to the state-of-the-art objectives of the Horizon Europe GES4SEAS project HORIZON-CL6-2021-BIODIV-01-04. High-performance computing analyses were run at the Marine Bioinformatics Service (MARBITS) of the Institut de Ciències del Mar (ICM-CSIC) in Barcelona. E. Alacid was supported by the Beatriu de Pinós Postdoctoral Program (grant number BP2020-00174) of the Secretaria d'Universitats i Recerca del Departament d'Empresa i Coneixement de la Generalitat de Catalunya, Peer reviewed

A.R. acknowledges the institutional support of the grant ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S) funded by AEI 10.13039/501100011033. S.V.W was supported by the Research Council of Finland (Decision Numbers 340659 and 346387). I.T. and M.S. were supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia (Grant no. 451-03-66/2024-03/200178). A.T. has been supported by the project “LifeWatchPLUS” of the “Programma Operativo Nazionale (PON) Ricerca e Innovazione 2014-2020 - Azione II, potenziamento di Infrastrutture di Ricerca” of the Italian Ministry of University and Research. B.S. was supported by the Icelandic Research Fund in the frame of the project “Per- and poly-fluoroalkyl substances (PFASs) meet Arctic and sub-Arctic marine diatoms and their associated symbionts” (RANNIS ID: 239548-051). H.-P.G. received funding by the German Science Foundation (DFG) through the projects MostFun (GR1540/51-1), FUNACTION (GR1540/47-1), and Polar Parasites (GR1540/33-1 and GR1540/48-1). G.B.S was supported by the National Laboratory for Water Science and Water Security program (RRF-2.3.1-21-2022-00008) and NKFIH KKP 144068. S.N. received funding by the Austrian Science Fund (FWF) Y0801-B16. L.G. received fundings by the Ministry of Universities and Research (Italy) through the Biodiversa+ secretariat, co-funded by the European Commission, projects FUNACTION (GA no. 101052342) and MostFun, and with the funding organisations Ministry of Universities and Research (Italy), and the European Commission—NextGenerationEU, Project “Strengthening the MIRRI Italian Research Infrastructure for Sustainable Bioscience and Bioeconomy”, code n. IR0000005. D.S.S. received funding through the projects GloMEc (AXA Research Fund), FishME (ANR-21-BIRE-0002-01), and OneAquaHealth (EC-Project 101086521). N.T. was funded by the Spanish MICINN Project SMART PID2020-112978GB-I00, Peer reviewed

Aquest conjunt de documents conté les actes digitalitzades de la Junta Directiva del Gremi de Peixaters de Catalunya del període 1941-2008. Son més de 2000 pàgines a través de les quals es pot traçar l’evolució de la distribució minorista del peix a Catalunya i especialment a Barcelona mitjançant la veu dels seus protagonistes. Pel període 1941-1950 s’inclou també un guió dels principals temes tractats en aquesta període, Peer reviewed

Ice nucleating particles (INPs) are important atmospheric particles influencing the formation of ice in clouds. Their sources and atmospheric concentrations currently are subject of plenty of research. The here provided data on INPs (Ice Nucleating Particles) were derived from particles collected onto filters for two separate projects: 1) Sampling during two austral summers 2020/2021 and 2021/2022, for the CLIMB project (How do aerosol-CLoud Interactions influence the surface Mass Balance in East Antarctica?) at the Belgian Princess Elisabeth station (PES), a zero emission station, installed on a mountain ridge of Utsteinen Nunatak. 2) Sampling during a field campaign during PI-ICE (Polar atmosphere ice-ocean Interactions: Impact on Climate and Ecology) west of and on the northern Antarctic Peninsula in January until March 2019. Filters were analyzed at the TROPOS ice-lab in Germany, using well established off-line techniques. Detailed information on sampling and data evaluation are given in the abovementioned publication which this data-set accompanies. Measured frozen fractions are provided for samples, field blinds and heated samples, INP concentrations are provided for samples both with and without subtracting the background, Furthermore, this work was supported by the Deutsche Forschungsgemeinschaft (DFG) in the framework of the priority programme 1158 “Antarctic Research with comparative investigations in Arctic ice areas” by a grant (HE-6770/3-1). We also thank the Belgian Science Policy Office for funding the CLIMB project which provided PES data (B2/191/P1/CLIMB). The study was further supported by the Spanish Ministry of Economy through project PI-ICE (CTM 2017-89117-R). SZ and MVP gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, Projektnummer 268020496-TRR 172) within the Transregional Collaborative Research Center “ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3” in subproject B04. Open Access funding enabled and organized by Projekt DEAL, This work contributes to the Institut de Ciències del Mar "Severo Ochoa Centre of Excellence" accreditation CEX2024-001494-S funded by AEI 10.13039/501100011033 of the Spanish Ministry of Science and Innovation, Peer reviewed

This dataset comprises seven final migrated and time-depth converted multi-channel seismic profiles (pwg106, pwg112, pwg120, pwg130, pwg134, pwg140, and pwg150). These data were acquired by WesternGeco® between 1998 and 1999. The seismic imaging clearly reveals the distribution characteristics of the plate interface fault, the morphological undulations of the top of the oceanic crust, and the structural details of the accretionary wedge along the eastern offshore margin of Makran, This work contributes to the Institut de Ciències del Mar "Severo Ochoa Centre of Excellence" accreditation CEX2024-001494-S funded by AEI 10.13039/501100011033 of the Spanish Ministry of Science and Innovation, Peer reviewed

[Disciplines] Atmosphere, Physical oceanography, [Parameters] Horizontal spatial co-ordinates, Date and time, Air temperature, Atmospheric humidity, Solar Radiation, Wind strength and direction, Skin temperature of the water column, This dataset presents air-sea interaction fluxes derived from meteorological and sea surface (thermosalinometer) data collected between 2013 and 2023 aboard the R/V Angeles Alvarino operated by the Spanish Institute of Oceanography (IEO; IEO-CSIC since 2022). The files include sensible (SHFL) and latent (LHFL) heat (positive towards the atmosphere), as well as momentum fluxes (MOFL, representing wind stress directed towards the sea surface). These were computed using the bulk aerodynamic approximation (Large and Yeager, 2009), which include atmospheric and oceanic measurements. Accordingly, the datasets also provide both meteorological and thermosalinometer data recorded along the vessel's trajectory, which are essential for these calculations. Meteorological variables used for calculations include atmospheric pressure at sea level (ATMS), air temperature (DRYT), relative humidity (RELH), wind speed (WSPD), and total incident radiation (RDIN), which encompasses both longwave and shortwave components. Although RDIN is not directly used for flux calculations, it is included because it complements the heat storage balance of the ocean alongside the flux variables. The sea surface temperature is stored as TEMP. The monthly files are stored in monthly Medar/Medatlas-format (Lowry et al., 2024). with hourly resolution. They are named as follows: "29AJ_YYYYMM.dat", where "29AJ" identifies the vessel (according to C17 SeaDataNet vocabulary),"YYYY" represents the year, and "MM" indicates the month. The dataset has undergone quality control procedures in accordance with SeaDataNet guidelines (Schaap and Lowry, 2010). As per the Medar/Medatlas format, quality control flags are included in an additional column to supplement the described variables The calculation of air-sea interaction fluxes depends on the simultaneous availability of meteorological and thermosalinometer data. When the required variables are unavailable, the flux columns are omitted. However, the remaining experimental variables are preserved, as they provide independent scientific value, contributing to the interpretation of flux signs, trends, proportionality, and behavior., This work has been carried out within the framework of the study of heat fluxes and atmosphere-ocean interactions in the context of climate change (JAE-INTRO-ICU 23 01472 fellowship, CSIC). Thanks are due to the vessel's crew and also the technicians involved in the instrumentation maintenance and data collection., Peer reviewed

[Disciplines] Atmosphere, Physical oceanography, [Parameters] Horizontal spatial co-ordinates, Date and time, Air temperature, Atmospheric humidity, Solar Radiation, Wind strength and direction, Skin temperature of the water column, This dataset presents air-sea interaction fluxes derived from meteorological and sea surface (thermosalinometer) data collected between 2013 and 2023 aboard the research vessel Ramon Margalef (RM) operated by the Spanish Institute of Oceanography (IEO; IEO-CSIC since 2022). The files include sensible (SHFL) and latent (LHFL) heat (positive towards the atmosphere), as well as momentum fluxes (MOFL, representing wind stress directed towards the sea surface). These were computed using the bulk aerodynamic approximation (Large and Yeager, 2009), which include atmospheric and oceanic measurements. Accordingly, the datasets also provide both meteorological and thermosalinometer data recorded along the vessel's trajectory, which are essential for these calculations. Meteorological variables used for calculations include atmospheric pressure at sea level (ATMS), air temperature (DRYT), relative humidity (RELH), wind speed (WSPD), and total incident radiation (RDIN), which encompasses both longwave and shortwave components. Although RDIN is not directly used for flux calculations, it is included because it complements the heat storage balance of the ocean alongside the flux variables. The sea surface temperature is stored as TEMP. The monthly files are stored in monthly Medar/Medatlas-format (Lowry et al., 2002). with hourly resolution. They are named as follows: "29RM_YYYYMM.dat", where "29RM" identifies the vessel (according to C17 SeaDataNet vocabulary),"YYYY" represents the year, and "MM" indicates the month. The dataset has undergone quality control procedures in accordance with SeaDataNet guidelines (Schaap and Lowry, 2010). As per the Medar/Medatlas format, quality control flags are included in an additional column to supplement the described variables The calculation of air-sea interaction fluxes depends on the simultaneous availability of meteorological and thermosalinometer data. When the required variables are unavailable, the flux columns are omitted. However, the remaining experimental variables are preserved, as they provide independent scientific value, contributing to the interpretation of flux signs, trends, proportionality, and behavior., This work has been carried out within the framework of the study of heat fluxes and atmosphere-ocean interactions in the context of climate change (JAE-INTRO-ICU 23 01472 fellowship, CSIC). Thanks are due to the vessel's crew and also the technicians involved in the instrumentation maintenance and data collection., Peer reviewed

[Parameters] Horizontal spatial co-ordinates, Date and time, Air temperature, Atmospheric humidity, Solar Radiation, Wind strength and direction, Skin temperature of the water column., [Disciplines] Atmosphere, Physical oceanography., This dataset presents air-sea interaction fluxes derived from meteorological and sea surface (thermosalinometer) data collected between 2011 and 2013 aboard the R/V Cornide de Saavedra, which is currently decommissioned and was operated by the Spanish Institute of Oceanography (IEO). The files contain sensible heat flux (SHFL) and latent heat flux (LHFL), both positive towards the atmosphere, as well as momentum fluxes (MOFL), representing wind stress directed towards the sea surface. These fluxes were computed using the bulk aerodynamic approximation (Large and Yeager, 2009), which combines atmospheric and oceanic measurements. Accordingly, the datasets also include meteorological and thermosalinometer data recorded along the vessel's trajectory, which are essential for these computations. The meteorological variables used in the calculations include atmospheric pressure at sea level (ATMS), air temperature (DRYT), relative humidity (RELH), wind speed (WSPD), and total incident radiation (RDIN), which encompasses both longwave and shortwave components. Although RDIN is not directly involved in the flux calculations, it is included as it complements the ocean's heat storage balance alongside the flux variables.The sea surface temperature is stored as TEMP. The monthly files are stored in Medar/Medatlas format (Lowry et al., 2024) with hourly resolution. They are named as follows: "29CS_YYYYMM.dat", where: "29CS" identifies the vessel (as per the C17 SeaDataNet vocabulary), "YYYY" represents the year, and "MM" indicates the month. The dataset has undergone quality control procedures in accordance with SeaDataNet guidelines (Schaap and Lowry, 2010). As per the Medar/Medatlas format, quality control flags are included in an additional column to supplement the described variables. The calculation of air-sea interaction fluxes depends on the simultaneous availability of meteorological and thermosalinometer data. When the required variables are unavailable, the flux columns are omitted. However, the remaining experimental variables are preserved, as they provide independent scientific value, contributing to the interpretation of flux signs, trends, proportionality, and behavior., This work has been carried out within the framework of the study of heat fluxes and atmosphere-ocean interactions in the context of climate change (JAE-INTRO-ICU 23 01472 fellowship, CSIC). Thanks are due to the vessel's crew and also the technicians involved in the instrumentation maintenance and data collection., Peer reviewed

[Disciplines] Atmosphere, Physical oceanography, [Parameters] Horizontal spatial co-ordinates, Date and time, Air temperature, Atmospheric humidity, Solar Radiation, Wind strength and direction, Skin temperature of the water column, This dataset combines meteorological and sea surface (thermosalinometer) data collected between 2014 and 2023 aboard the R/V Miguel Oliver, owned and operated by the Spanish General Secretariat of Fisheries. These data have been analyzed within the framework of air-sea interaction flux studies along Spanish waters. Although atmospheric pressure data are not available in the considered records—making it impossible to calculate air-sea fluxes using the bulk approximation—the remaining variables retain scientific value and are therefore revised, included and presented in this dataset. Meteorological variables include air temperature (DRYT), relative humidity (RELH), wind speed (WSPD), and total incident radiation (RDIN), which encompasses both longwave and shortwave components. Although RDIN is not directly used for flux calculations, it is included because it complements the heat storage balance of the ocean alongside the flux variables. The sea surface temperature is stored as TEMP. The monthly files are stored in monthly Medar/Medatlas-format (Lowry et al., 2024). with hourly resolution. They are named as follows: "29MO_YYYYMM.dat", where "29MO" identifies the vessel (according to C17 SeaDataNet vocabulary),"YYYY" represents the year, and "MM" indicates the month. The dataset has undergone quality control procedures in accordance with SeaDataNet guidelines (Schaap and Lowry, 2010). As per the Medar/Medatlas format, quality control flags are included in an additional column to supplement the described variables, This work has been carried out within the framework of the study of heat fluxes and atmosphere-ocean interactions in the context of climate change (JAE-INTRO-ICU 23 01472 fellowship, CSIC). Thanks are due to the Spanish General Secretariat of Fisheries, the vessel's crew and also the technicians involved in the instrumentation maintenance and data collection. Data, Peer reviewed