28 research outputs found

    “El Transistor golpea El Larguero” ‘El Larguero durante la etapa de José Ramón de la Morena y Manu Carreño’

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    La elección de este trabajo se debe al interés por reflejar una serie de transformaciones que ha sufrido el programa El Larguero de la Cadena Ser durante el verano de 2016. Se parte del hecho de que El Larguero, que comenzó a emitirse en 1989, es el espacio referente de la radio deportiva nocturna en España desde 1995, cuando le arrebató el liderato radiofónico nocturno al programa de José María García, líder absoluto de esa franja horaria desde hacía años. José Ramón de la Morena, su creador y presentador hasta su marcha el verano pasado, consolidó a este programa como el más escuchado de las ondas en nuestro país y ha creado en torno al programa una legión de oyentes que, noche tras noche, han terminado convirtiéndolo en un referente de la prensa deportiva. En este sentido, El Larguero ha narrado en las últimas décadas un amplio conjunto de noticias, polémicas, reportajes y un amplio etcétera del panorama deportivo nacional e internacional que han quedado en la memoria colectiva de toda su audiencia. Actualmente, Manu Carreño es el conductor del programa que continúa siendo el más escuchado en su franja horaria y que parece estar superando una tarea complicada. El periodista vallisoletano está superando los índices de audiencia de De la Morena tras su marcha a Onda Cero. Se ha citado las cuestiones anteriores para señalar el propósito de esta investigación que es plasmar qué ha supuesto ese cambio en la dirección de El Larguero, las implicaciones del cambio en la figura del presentador estrella de un espacio radiofónico y cómo ha afectado tanto a la audiencia como a los contenidos, colaboradores o las secciones del programa.Departamento de Historia Moderna, Contemporánea y de América, Periodismo y Comunicación Audiovisual y PublicidadGrado en Periodism

    Agrobacterium-mediated transformation of olive (Olea europaea L.) with an antifungal protein from Aspergillus giganteus.

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    Broad-spectrum resistance to pests and diseases is difficult to obtain through classical breeding programs, hence, this is a targeted trait for accelerating the development of major olive cultivars using plant trans- formation technologies. Olive Verticillium wilt, caused by Verticillium dahliae, is considered to be an important constraint for cultivation of olive trees (López-Escudero and Mercado-Blanco 2010). Different transgenic approaches have been proposed to engineer plants for resistance to fungal diseases, including production of antifungal proteins (Gurr and Rushton 2005). Regarding this approach, among different anti- fungal compounds, the antifungal protein (AFP) from Aspergillus giganteus can be considered a promising candidate for practical applications in crop protection (Meyer 2007). AFP is a defensin-like protein that belongs to a group of small-sized secretory proteins rich in cysteine residues. The protein possesses in vitro antifungal activity inhibiting the growth of several fungal pathogens. Previous work has already shown that afp gene can be expressed in transgenic rice plants inducing resistance to the fungus Magnaporthe grisea and indicating the usefulness of such approach for protection against rice blast. (Coca et al. 2004). In this work, transgenic olive plants were generated by Agrobacterium-mediated transformation as des- cribed by Torreblanca et al. (2010). The AGL-1 strain containing the pBIN61-afp binary vector was used. This plasmid contains the nptII gene for paromomycin selection and a chemically synthesized codon-op- timized afp gene under the control of the 35S CaMV promoter. Globular somatic embryos derived from a mature seed of cultivar `Picual ́ were transformed obtaining an average success rate around 2%. Plants were regenerated from six independent lines and transgenic nature was confirmed by PCR studying nptII and afp insertion. With the aim of studying whether the afp gene can be used to induce resistance against fungal diseases in olive, susceptibility to the fungal pathogens Rosellinia necatrix and Verticilium dahliae will be evaluated. In addition, the inhibitory effect of proteins extracts from transgenic leaves on the in vitro growth of these fungal pathogens will also be examined.Universidad de Málaga. Campus de Excelencia Internacional Andalucia Tec

    The age again in the eye of the COVID-19 storm: evidence-based decision making

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    Background: One hundred fifty million contagions, more than 3 million deaths and little more than 1 year of COVID-19 have changed our lives and our health management systems forever. Ageing is known to be one of the significant determinants for COVID-19 severity. Two main reasons underlie this: immunosenescence and age correlation with main COVID-19 comorbidities such as hypertension or dyslipidaemia. This study has two aims. The first is to obtain cut-off points for laboratory parameters that can help us in clinical decision-making. The second one is to analyse the effect of pandemic lockdown on epidemiological, clinical, and laboratory parameters concerning the severity of the COVID-19. For these purposes, 257 of SARSCoV2 inpatients during pandemic confinement were included in this study. Moreover, 584 case records from a previously analysed series, were compared with the present study data. Results: Concerning the characteristics of lockdown series, mild cases accounted for 14.4, 54.1% were moderate and 31.5%, severe. There were 32.5% of home contagions, 26.3% community transmissions, 22.5% nursing home contagions, and 8.8% corresponding to frontline worker contagions regarding epidemiological features. Age > 60 and male sex are hereby confirmed as severity determinants. Equally, higher severity was significantly associated with higher IL6, CRP, ferritin, LDH, and leukocyte counts, and a lower percentage of lymphocyte, CD4 and CD8 count. Comparing this cohort with a previous 584-cases series, mild cases were less than those analysed in the first moment of the pandemic and dyslipidaemia became more frequent than before. IL-6, CRP and LDH values above 69 pg/mL, 97 mg/L and 328 U/L respectively, as well as a CD4 T-cell count below 535 cells/?L, were the best cut-offs predicting severity since these parameters offered reliable areas under the curve. Conclusion: Age and sex together with selected laboratory parameters on admission can help us predict COVID-19 severity and, therefore, make clinical and resource management decisions. Demographic features associated with lockdown might affect the homogeneity of the data and the robustness of the results

    The GenTree Platform: growth traits and tree-level environmental data in 12 European forest tree species

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    Background: Progress in the field of evolutionary forest ecology has been hampered by the huge challenge of phenotyping trees across their ranges in their natural environments, and the limitation in high-resolution environmental information. Findings: The GenTree Platform contains phenotypic and environmental data from 4,959 trees from 12 ecologically and economically important European forest tree species: Abies alba Mill. (silver fir), Betula pendula Roth. (silver birch), Fagus sylvatica L. (European beech), Picea abies (L.) H. Karst (Norway spruce), Pinus cembra L. (Swiss stone pine), Pinus halepensis Mill. (Aleppo pine), Pinus nigra Arnold (European black pine), Pinus pinaster Aiton (maritime pine), Pinus sylvestris L. (Scots pine), Populus nigra L. (European black poplar), Taxus baccata L. (English yew), and Quercus petraea (Matt.) Liebl. (sessile oak). Phenotypic (height, diameter at breast height, crown size, bark thickness, biomass, straightness, forking, branch angle, fructification), regeneration, environmental in situ measurements (soil depth, vegetation cover, competition indices), and environmental modeling data extracted by using bilinear interpolation accounting for surrounding conditions of each tree (precipitation, temperature, insolation, drought indices) were obtained from trees in 194 sites covering the species’ geographic ranges and reflecting local environmental gradients. Conclusion: The GenTree Platform is a new resource for investigating ecological and evolutionary processes in forest trees. The coherent phenotyping and environmental characterization across 12 species in their European ranges allow for a wide range of analyses from forest ecologists, conservationists, and macro-ecologists. Also, the data here presented can be linked to the GenTree Dendroecological collection, the GenTree Leaf Trait collection, and the GenTree Genomic collection presented elsewhere, which together build the largest evolutionary forest ecology data collection available

    Between but not within species variation in the distribution of fitness effects

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    New mutations provide the raw material for evolution and adaptation. The distribution of fitness effects (DFE) describes the spectrum of effects of new mutations that can occur along a genome, and is therefore of vital interest in evolutionary biology. Recent work has uncovered striking similarities in the DFE between closely related species, prompting us to ask whether there is variation in the DFE among populations of the same species, or among species with different degrees of divergence, i.e., whether there is variation in the DFE at different levels of evolution. Using exome capture data from six tree species sampled across Europe we characterised the DFE for multiple species, and for each species, multiple populations, and investigated the factors potentially influencing the DFE, such as demography, population divergence and genetic background. We find statistical support for there being variation in the DFE at the species level, even among relatively closely related species. However, we find very little difference at the population level, suggesting that differences in the DFE are primarily driven by deep features of species biology, and that evolutionarily recent events, such as demographic changes and local adaptation, have little impact

    Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study

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    Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung’s disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung’s disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p<0·0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90·0%] of ten in lowincome countries, 97 [31·9%] of 304 in middle-income countries, and two [1·4%] of 139 in high-income countries; p≤0·0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2·78 [95% CI 1·88–4·11], p<0·0001; middle-income vs high-income countries, 2·11 [1·59–2·79], p<0·0001), sepsis at presentation (1·20 [1·04–1·40], p=0·016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4–5 vs ASA 1–2, 1·82 [1·40–2·35], p<0·0001; ASA 3 vs ASA 1–2, 1·58, [1·30–1·92], p<0·0001]), surgical safety checklist not used (1·39 [1·02–1·90], p=0·035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1·96, [1·41–2·71], p=0·0001; parenteral nutrition 1·35, [1·05–1·74], p=0·018). Administration of parenteral nutrition (0·61, [0·47–0·79], p=0·0002) and use of a peripherally inserted central catheter (0·65 [0·50–0·86], p=0·0024) or percutaneous central line (0·69 [0·48–1·00], p=0·049) were associated with lower mortality. Interpretation Unacceptable differences in mortality exist for gastrointestinal congenital anomalies between lowincome, middle-income, and high-income countries. Improving access to quality neonatal surgical care in LMICs will be vital to achieve Sustainable Development Goal 3.2 of ending preventable deaths in neonates and children younger than 5 years by 2030

    Regulation of meiotic progression by the meiosis-specific checkpoint kinase Mek1 in fission yeast

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    During the eukaryotic cell cycle, accurate transmission of genetic information to progeny is ensured by the operation of cell cycle checkpoints. Checkpoints are regulatory mechanisms that block cell cycle progression when key cellular processes are defective or chromosomes are damaged. During meiosis, genetic recombination between homologous chromosomes is essential for proper chromosome segregation at the first meiotic division. In response to incomplete recombination, the pachytene checkpoint (also known as the meiotic recombination checkpoint) arrests or delays meiotic cell cycle progression, thus preventing the formation of defective gametes. Here, we describe a role for a meiosis-specific kinase, Mek1, in the meiotic recombination checkpoint in fission yeast. Mek1 belongs to the Cds1/Rad53/Chk2 family of kinases containing forkhead-associated domains, which participate in a number of checkpoint responses from yeast to mammals. We show that defects in meiotic recombination generated by the lack of the fission yeast Meu13 protein lead to a delay in entry into meiosis I owing to inhibitory phosphorylation of the cyclin-dependent kinase Cdc2 on tyrosine 15. Mutation of mek1+ alleviates this chekpoint-induced delay, resulting in the formation of largely inviable meiotic products. Experiments involving ectopic overexpression of the mek1+ gene indicate that Mek1 inhibits the Cdc25 phosphatase, which is responsible for dephosphorylation of Cdc2 on tyrosine 15. Furthermore, the meiotic recombination checkpoint is impaired in a cdc25 phosphorylation site mutant. Thus, we provide the first evidence of a connection between an effector kinase of the meiotic recombination checkpoint and a crucial cell cycle regulator and present a model for the operation of this meiotic checkpoint in fission yeast.L.P.-H. is a recipient of a predoctoral fellowship from CSIC, Spain. P.A.S.-S. is a ‘Ramón y Cajal’ investigator of the Ministry of Science and Technology of Spain. This work was supported by grants from CICYT and the European Union to S.M.Peer Reviewe
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