Resultados de investigación

La Colección Histórica-ICMAN de Fauna Marina (CFM-HISTÓRICA-ICMAN-IEOMA) del Instituto Español de Oceanografía (IEO-CSIC) de Málaga (España) es una colección biológica de referencia con 254 especímenes preservados, catalogados y disponibles para estudio y la información de 247 especímenes no conservados. En total, la colección está constituida por 317 números de registro de peces y 279 especies (un 9% son elasmobranquios; el resto, teleósteos). Los registros más antiguos datan de 1957 y el más reciente es del año 2001. El origen de la colección se debe al trabajo de Fernando Cervigón y Miguel Massutí en las compañas realizadas a bordo del Costa Canaria durante los años 1958 y 1959. Estas campañas se llevaron a cabo en la costa africana desde cabo Bojador (Sáhara Occidental) hasta Guinea-Bissau. Los ejemplares procedentes de estas campañas constituyen el 45% de la colección actual. El segundo gran grupo de registros se debe al trabajo de recolección de años posteriores en el golfo de Cádiz y en la bahía de la ciudad por parte de Alberto Arias y otros colaboradores. Destaca la presencia de un ejemplar tipo, el holotipo de Cottunculus costaecanariae, descrito por Cervigón en 1961. Se trata de una colección de aguas atlánticas. Un 58% de los registros procede de España, seguido de Mauritania (31%), Senegal (5%), Marruecos (4%) y Sáhara Occidental (2%). Todos los especímenes fueron fijados en formaldehído y se conservan actualmente en etanol. En un contexto de cambio global, con el desafío que plantea en términos de biodiversidad, las colecciones de fauna marina son una fuente de información de gran importancia y valor para la comunidad científica internacional. Además, el carácter histórico de la presente colección añade un valor adicional al material que la constituye al suponer un registro, ya no solo de las poblaciones y organismos del momento, sino también de la historia de la ciencia que se realizó en nuestro país durante el siglo pasado., Peer reviewed

El herbario Trèmols fue cedido al Instituto Botánico de Barcelona (IBB) por la Real Academia de Ciencias y Artes de Barcelona (RACAB) en 1925. Esta colección fue creada durante la segunda mitad del siglo XIX por el químico y botánico catalán Frederic Trèmols Borrell (1831-1900), socio y cofundador de la Sociedad Botánica Barcelonesa (1872-1878). Entre 1930 y 1960, el técnico Antoni Marcos hizo una profunda revisión añadiendo etiquetas y reordenando la colección según el Conspectus florae europaeae de Carl Fredik Nyman. La colección actual está formada por 58 volúmenes reordenados por Marcos, dos volúmenes con la estructura original de Trèmols, cuatro cajas del género Hieracium y 85 cajas de material adicional. A finales del 2023 se terminó la catalogación de toda la colección llegando a 12.951 especímenes.Este herbario incluye en gran parte pliegos de intercambio obtenidos básicamente mediante la Société Helvétique pour l’échange des Plantes y la Sociedad Botánica Barcelonesa. El interés principal, pues, radica en la gran diversidad de procedencias geográficas de las plantas, que hacen de esta colección uno de los primeros herbarios europeos de Cataluña., Peer reviewed

Datos de presencia de garrapatas blandas Ornithodoros maritimus en colonias de gaviota patiamarilla, gaviota de audouin y paíño europeo. Las garrapatas se buscaron en los nidos de gaviotas y en el suelo o en los polluelos de las colonias de paíño., Fuentes de Financiación: Proyectos de Biodiversidad enmarcados dentro de los Planes Complementarios (Componente 17) de los PRTR (2023-2025) – Govern Balear, Peer reviewed

Wide-angle seismic data acquired across the Xisha Trough in the South China Sea. The data were acquired with 10 Ocean Bottom Hydrpobones from GEOMAR in 1996. The records are reduced to 6 km/s, relocated, and filtered using a bandpass filter, and wiener predictive error filter. Navigation is included as an ASCII file with longitude and latitude of shots, China Scholarship Council (CSC), grant/award no. 202204910357. Spanish Ministry of Science, Innovation and Universities (MICINN), grant/award no. PID2019‐109559RB‐I00: ATLANTIS, C.R. Ranero and W. Wang during his stay at the Barcelona Center for Subsurface Imaging (CSI), were supported by the “Severo Ochoa Centre of Excellence” accreditation (CEX2019-000928-S), Peer reviewed

Peer reviewed

MC acknowledges institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed

MicroRNAs (miRNAs) are highly conserved small noncoding RNAs that regulate gene expression post-transcriptionally. Circulating miRNAs - miRNAs that have been released from cells and circulate in the bloodstream - are relatively stable and interesting molecules for wildlife research, where they may form a proxy for gene expression as a function of the animal’s state under a variety of environmental challenges. Aiming at providing initial baseline data on the circulating miRNAome in avian wildlife, we assessed the miRNA profiles of wild ruddy turnstones (Arenaria interpres) on their Australian non-breeding grounds. The ruddy turnstone is a long-distant migrant and a significant reservoir species for low pathogenic avian influenza virus (LPAIV). We therefore investigated both LPAIV-infected and uninfected individuals for their specific miRNA profiles to potentially elucidate the species’ molecular mechanisms underlying its response to LPAIV infection. De novo miRNA characterisation in the ruddy turnstone genome identified 161 conserved and two novel, bird-specific miRNAs, with liver-enriched miRNA-122 being the most abundant. Z chromosome-linked miR-2954-3p was significantly more abundant in serum from males (ZZ) than from females (ZW). Furthermore, we found a sex- and age-associated effect of LPAIV infection on miRNA abundance in serum samples, including one novel miRNA. This circulating miRNA signature may reflect sex- and age-specific differences in the host response, indicating that circulating miRNAs could serve as a valuable non-destructive analytical tool for enhancing our understanding of avian infections in a wildlife context and should be explored further. The data analysis pipeline for processing the sequencing data is contained in the script 01_MicroRNA_Sequencing_Analysis.sh. This script utilizes raw sequencing reads, which have been deposited in the European Nucleotide Archive (ENA) under accession numbers ERR10462083-94 (project accession PRJEB47802), as input data. The pipeline includes steps for quality control, adapter trimming, read filtering, de novo microRNA discovery, and differential expression analysis. The script 02_Coding_Article_Figures.sh contains the code used to generate the figures in the article. For mapping and quantification, the file 03_ain_miRNAome.fasta, which contains the mature mioRNA sequences from ruddy turnstones (Arenaria interpres), is required. 04_Fastqc_Sequence_Length_Distribution_Plot.tsv is required to create Figure 2. The file 05_FeatureCounts_output.tsv contains the feature counts used for differential expression analysis. Figure 4, Table 3 and 4 in the article, and Supplemental Information Figure S3 were generated based on the results from this pipeline. The files 06_eff.RTS.csv and 07_mcmc.RTS.csv were used to generate Figure 5, Supplemental Information Figure S4 and Table S8, JMOF acknowledges the support from the grant ‘Severo Ochoa Centre of Excellence' accreditation (CEX2019-000928-S) funded by AEI 10.13039/501100011033, 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