BUSCADOR RECOLECTA

Instituto de Salud Carlos III Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía., Peer reviewed

Biological warfare between two bacterial viruses in a defense archipelago sheds light on the spread of CRISPR-Cas systems, Peer reviewed

In this project we have searched for genes associated with CRISPR-Cas systems from bacteria of the ESKAPE group using Random Forest and we have been able to reduce the percentage of CRISPR black matter, as well as to propose a triad 'Membrane Proteins - Phages - CRISPR' by which bacterial genomes would acquire CRISPR-Cas systems when they have certain useful membrane proteins that can act as viral receptors, Peer reviewed

Raw data from Vasseur et al 2024, Peer reviewed

El dataset se puede consultar y descargar en el siguiente enlace https://doi.org/10.5281/zenodo.8358873, Genetic variation of the entire genome represents population structure, yet individual loci can show distinct patterns. Such deviations identified through genome scans have often been attributed to effects of selection instead of randomness. This interpretation assumes that long enough genomic intervals average out randomness in underlying genealogies, which represent local genetic ancestries. However, an alternative explanation to distinct patterns has not been fully addressed: too few genealogies to average out the effect of randomness. Specifically, distinct patterns of genetic variation may be due to reduced local recombination rate, which reduces the number of genealogies in a genomic window. Here, we associate distinct patterns of local genetic variation with reduced recombination rates in a songbird, the Eurasian blackcap (Sylvia atricapilla), using genome sequences and recombination maps. We find that distinct patterns of local genetic variation reflect haplotype structure at low-recombining regions either shared in most populations or found only in a few populations. At the former species-wide low-recombining regions, genetic variation depicts conspicuous haplotypes segregating in multiple populations. At the latter population-specific low-recombining regions, genetic variation represents variance among cryptic haplotypes within the low-recombining populations. With simulations, we confirm that these distinct patterns of haplotype structure evolve due to reduced recombination rate, on which the effects of selection can be overlaid. Our results highlight that distinct patterns of genetic variation can emerge through evolution of reduced local recombination rate. Recombination landscape as an evolvable trait therefore plays an important role determining the heterogeneous distribution of genetic variation along the genome., Peer reviewed

A set of historical tide gauge sea-level records from two locations in Santander (Northern Spain) and Alicante (Spanish Mediterranean coast) have been recovered from logbooks stored in national archives. Sea-level measurements have been digitized, quality-controlled and merged into three consistent sea-level time series (two in Alicante and one in Santander) using high-precision levelling information. The historical sea-level record in Santander consists of a daily time series spanning the period 1876-1924 and it is further connected to the record from the modern tide gauge station nearby, ensuring datum continuity up to the present. The sea-level recording in Alicante started in 1870, with daily averaged values until the 1920s and hourly afterwards, and the tide gauges at the two Alicante sites are still operating, thereby providing one of the longest tide gauge sea-level time series in the Mediterranean Sea. The long-term consistency and reliability of the new records are discussed based on comparison with nearby tide gauge time series., The research presented in this paper was partially funded by the Spanish Ministry of Science, Innovation and Universities (MOCCA, project number RTI2018-093941-B-C31) (M.M., A.A.) and the National Science Foundation CAREER award number 1455350 (S.T.)., Peer reviewed

En el ángulo ciego repasa la representación de las mujeres de ciencia en toda la historia del cine español de ficción, perimetrando cronológicamente sus contornos en el período comprendido entre 1896, fecha en la que el cinematógrafo llega al país, y 2020. Un siglo y cuarto de historia, representación y arte que se erige como un gran espejo de celuloide capaz de reflejar cómo la mujer de conocimiento ha sido vista (u ocultada), percibida (o menospreciada) y subjetivizada (u objetualizada) por el artefacto cultural más impactante e influyente de nuestra edad. Es este un libro de historia (ficticia) construida a partir de películas y personajes relacionados con la ciencia. En él, partiendo de un análisis semiótico del arquetipo femenino vinculado a la academia y al conocimiento, se emprende una exploración en torno a cómo realidad y ficción (actrices y actores sociales vs. actrices y actores fílmicos) se interpelan y replican en el burbujeante magma de la sociedad española contemporánea, componiendo y descomponiendo espacios simbólicos de continuidad y ruptura. Imaginarios, en suma. El presente trabajo es el resultado de un intento de colocar algunos hitos en un (futuro) mapa figurativo hispano de motivos fílmicos, de la voluntad de esbozar trazos del conflicto de género desarrollado en el entorno especular de la ficción, así como de proponer patrones y tendencias (disposiciones de sentido) dentro del pensamiento visual desplegado en la historia del cine español., Peer reviewed

Identifying weed species at early-growth stages is critical for precision agriculture. Accurate classification at the species-level enables targeted control measures, significantly reducing pesticide use. This paper presents a dataset of RGB images captured with a Sony ILCE-6300L camera mounted on an unmanned aerial vehicle (UAV) flying at an altitude of 11 m above ground level. The dataset covers various agricultural fields in Spain, focusing on two summer crops: maize and tomato. It is designed to enhance early-season weed classification accuracy by including images from two phenological stages. Specifically, the dataset contains 31,002 labeled images from the early-growth stage-maize with four unfolded leaves (BBCH14) and tomato with the first flower bud visible (BBCH501)-as well as 36,556 images from a more advanced-growth stage-maize with seven unfolded leaves (BBCH17) and tomato with the ninth flower bud visible (BBCH509). In maize, the weed species include Atriplex patula, Chenopodium album, Convolvulus arvensis, Datura ferox, Lolium rigidum, Salsola kali and Sorghum halepense. In tomato, the weed species include Cyperus rotundus, Portulaca oleracea and Solanum nigrum. The images, stored in JPG format, were labeled in orthomosaic partitions, with each image corresponding to a specific plant species. This dataset is ideally suited for developing advanced deep learning models, such as CNNs and ViTs, for early classification of weed species in maize and tomato crops using UAV imagery. By providing this dataset, we aim to advance UAV-based weed detection and mapping technologies, contributing to precision agriculture with more efficient, accurate tools that promote sustainable and profitable farming practices., This research was funded by the projects PID2020-113229RB-C41, PID2023-150108OB-C31 and PID2023-150108OB-C32 from the Spanish MCIU/AEI/10.13039/501100011033 and FEDER, EU. The lead author, G.A. Mesías-Ruiz has been a beneficiary of a FPI fellowship by the Spanish Ministry of Education and Professional Training (PRE2018-083227)., Peer reviewed

El dataset se puede consultar y descargar en el siguiente enlace https://doi.org/10.5281/zenodo.13138174, Datos metabolómicos del estudio: La mutagénesis no dirigida del receptor de brasinoesteroides SbBRI1 confiere tolerancia a la sequía al alterar el metabolismo de los fenilpropanoides en Sorghum bicolor. Los archivos son cromatogramas sin procesar., [Methodology] Metabolite profiling analysis. Metabolite Extraction and Quantification. The whole metabolite extraction and quantification pipeline followed the guidelines as described in Giavalisco et al. (2011) and Salem et al. (2020). Briefly, 10-25 mg of fresh plant tissue was harvested and immediately frozen in N2, and ground using zirconia beads with the help of Tissue Lyser Mixer-Mill (Qiagen) 3 min at 25 Hz. After samples were extracted in 100% cold methanol, they were centrifuged for 10 min at 14000 rpm (Room temperature) and 3:1 chloroform was added. After vortexing thoroughly, 1:1 volume of water was added and the samples were subsequently vortexed and centrifuged. The semi-polar phase was used for analysis of semi-polar secondary and primary metabolites. For secondary semi-polar metabolites, the dried polar aliquots were resuspended in water:methanol (1:1 v/v). 3 Analysis of semi-polar metabolites was performed using a Thermo Q Exactive Focus coupled to a reverse-phase C18 column. The column was maintained at 40°C with a flow rate of 400 μl/min, and the eluent system consisted of water (eluent A) and acetonitrile (eluent B), both containing 0.1% formic acid. Mass spectra were acquired in full scan mode over a range of 100-1500 m/z using data-independent acquisition (DIA) with high-energy collisional dissociation (HCD) energy set at 30 eV in positive mode. 9 For primary metabolite metabolites, the dried polar was derivatized as described in Lisec et al. (2006). Derivatization was carried out at 37°C for 120 min using 40 μl of 20 mg/ml methoxyamine hydrochloride in pyridine, followed by a 30-min treatment at 37°C with 70 μl of trimethylsilyl-N-methyl trifluoroacetamide (MSTFA). The derivatized samples (1 μl) were injected in splitless mode into a gas chromatograph coupled to a time-of-flight mass spectrometer (Pegasus HT TOF-MS). Gas chromatography was performed on a 30-m DB-35 column using helium as the carrier gas. The initial temperature of the oven was 85°C, and it was ramped up at a rate of 15°C/min to a final temperature of 360°C. Mass spectra were recorded in the range of 70-600 m/z at a rate of 20 scans/s. Data Processing and Compound Annotation. LC-MS full scan data were processed using MS Refiner (Expressionist 14.0). Processing of chromatograms, peak detection, and integration were performed using RefinerMS (version 5.3; GeneData). Metabolite identification and annotation were performed using in-house reference compound library, tandem MS (MS/MS) 22 fragmentation, and metabolomics databases (Alseekh et al., 2021). For the annotation of metabolites measured by GC-MS the Golm Metabolome Database was used (Kopka et al., 2005)., European Research Council (ERC-2015-CoG–683163683163), European Union (Marie Skłodowska-Curie 945043); Bulgarian Academy of Sciences (Bulgarian "Science and Education for Smart Growth"BG05M2OP001-1.003-001-C01), Peer reviewed

Peer reviewed