104 research outputs found

    Genetic inhibition of flowering differs between juvenile and adult Citrus trees

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    [EN] Background and Aims In woody species, the juvenile period maintains the axillary meristems in a vegetative stage, unable to flower, for several years. However, in adult trees, some 1-year-old meristems flower whereas others remain vegetative to ensure a polycarpic growth habit. Both types of trees, therefore, have non-flowering meristems, and we hypothesize that the molecular mechanism regulating flower inhibition in juvenile trees is different from that in adult trees. Methods In adult Citrus trees, the main endogenous factor inhibiting flower induction is the growing fruit. Thus, we studied the expression of the main flowering time, identity and patterning genes of trees with heavy fruit load (not-flowering adult trees) compared to that of 6-month-old trees (not-flowering juvenile trees). Adult trees without fruits (flowering trees) were used as a control. Second, we studied the expression of the same genes in the meristems of 6-month, and 1-, 3-, 5-and 7-year-old juvenile trees compared to 10-year-old flowering trees. Key Results The axillary meristems of juvenile trees are unable to transcribe flowering time and patterning genes during the period of induction, although they are able to transcribe the FLOWERING LOCUS T citrus orthologue (CiFT2) in leaves. By contrast, meristems of not-flowering adult trees are able to transcribe the flowering network genes but fail to achieve the transcription threshold required to flower, due to CiFT2 repression by the fruit. Juvenile meristems progressively achieve gene expression, with age-dependent differences from 6 months to 7 years, FD-like and CsLFY being the last genes to be expressed. Conclusions During the juvenile period the mechanism inhibiting flowering is determined in the immature bud, so that it progressively acquires flowering ability at the gene expression level of the flowering time programme, whereas in the adult tree it is determined in the leaf, where repression of CiFT2 gene expression occurs.We thank Cristina Ferrandiz (IBMCP-UPV, Spain) and Fernando Andres (UMR AGAP, France) for useful comments on the manuscript. We thank D. Westall for her help in editing the manuscript. This work was supported by a grant from the Ministerio de Economia y Competitividad, Spain (RTA2013-0024-C02-02)Muñoz Fambuena, N.; Nicolas-Almansa, M.; Martinez Fuentes, A.; Reig Valor, C.; Iglesias, DJ.; Primo-Millo, E.; Mesejo Conejos, C.... (2019). Genetic inhibition of flowering differs between juvenile and adult Citrus trees. Annals of Botany. 123(3):483-490. https://doi.org/10.1093/aob/mcy179S4834901233Abe, M. (2005). FD, a bZIP Protein Mediating Signals from the Floral Pathway Integrator FT at the Shoot Apex. Science, 309(5737), 1052-1056. doi:10.1126/science.1115983Albani, M. C., & Coupland, G. (2010). Comparative Analysis of Flowering in Annual and Perennial Plants. Plant Development, 323-348. doi:10.1016/s0070-2153(10)91011-9Andrés, F., & Coupland, G. (2012). The genetic basis of flowering responses to seasonal cues. Nature Reviews Genetics, 13(9), 627-639. doi:10.1038/nrg3291Balanzà, V., Martínez-Fernández, I., Sato, S., Yanofsky, M. F., Kaufmann, K., Angenent, G. C., … Ferrándiz, C. (2018). Genetic control of meristem arrest and life span in Arabidopsis by a FRUITFULL-APETALA2 pathway. Nature Communications, 9(1). doi:10.1038/s41467-018-03067-5Bäurle, I., & Dean, C. (2006). The Timing of Developmental Transitions in Plants. Cell, 125(4), 655-664. doi:10.1016/j.cell.2006.05.005Betancourt, M., Sistachs, V., Martínez-Fuentes, A., Mesejo, C., Reig, C., & Agustí, M. (2014). Influence of harvest date on fruit yield and return bloom in ‘Marsh’ grapefruit trees (Citrus paradisiMacf.) grown under a tropical climate. The Journal of Horticultural Science and Biotechnology, 89(4), 435-440. doi:10.1080/14620316.2014.11513103Blázquez, M. A., Ferrándiz, C., Madueño, F., & Parcy, F. (2006). How Floral Meristems are Built. Plant Molecular Biology, 60(6), 855-870. doi:10.1007/s11103-006-0013-zBlümel, M., Dally, N., & Jung, C. (2015). Flowering time regulation in crops — what did we learn from Arabidopsis? Current Opinion in Biotechnology, 32, 121-129. doi:10.1016/j.copbio.2014.11.023Castillo, M.-C., Forment, J., Gadea, J., Carrasco, J. L., Juarez, J., Navarro, L., & Ancillo, G. (2013). Identification of transcription factors potentially involved in the juvenile to adult phase transition in Citrus. Annals of Botany, 112(7), 1371-1381. doi:10.1093/aob/mct211Chica, E. J., & Albrigo, L. G. (2013). Expression of Flower Promoting Genes in Sweet Orange during Floral Inductive Water Deficits. Journal of the American Society for Horticultural Science, 138(2), 88-94. doi:10.21273/jashs.138.2.88Endo, T., Shimada, T., Fujii, H., Kobayashi, Y., Araki, T., & Omura, M. (2005). Ectopic Expression of an FT Homolog from Citrus Confers an Early Flowering Phenotype on Trifoliate Orange (Poncirus trifoliata L. Raf.). Transgenic Research, 14(5), 703-712. doi:10.1007/s11248-005-6632-3Haberman, A., Ackerman, M., Crane, O., Kelner, J.-J., Costes, E., & Samach, A. (2016). Different flowering response to various fruit loads in apple cultivars correlates with degree of transcript reaccumulation of a TFL1-encoding gene. The Plant Journal, 87(2), 161-173. doi:10.1111/tpj.13190Hanano, S., & Goto, K. (2011). Arabidopsis TERMINAL FLOWER1 Is Involved in the Regulation of Flowering Time and Inflorescence Development through Transcriptional Repression. The Plant Cell, 23(9), 3172-3184. doi:10.1105/tpc.111.088641Mafra, V., Kubo, K. S., Alves-Ferreira, M., Ribeiro-Alves, M., Stuart, R. M., Boava, L. P., … Machado, M. A. (2012). Reference Genes for Accurate Transcript Normalization in Citrus Genotypes under Different Experimental Conditions. PLoS ONE, 7(2), e31263. doi:10.1371/journal.pone.0031263Martínez-Fuentes, A., Mesejo, C., Reig, C., & Agustí, M. (2010). Timing of the inhibitory effect of fruit on return bloom of ‘Valencia’ sweet orange (Citrus sinensis (L.) Osbeck). Journal of the Science of Food and Agriculture, 90(11), 1936-1943. doi:10.1002/jsfa.4038Michaels, S. D., & Amasino, R. M. (1999). FLOWERING LOCUS C Encodes a Novel MADS Domain Protein That Acts as a Repressor of Flowering. The Plant Cell, 11(5), 949-956. doi:10.1105/tpc.11.5.949Muñoz-Fambuena, N., Mesejo, C., Carmen González-Mas, M., Primo-Millo, E., Agustí, M., & Iglesias, D. J. (2011). Fruit regulates seasonal expression of flowering genes in alternate-bearing ‘Moncada’ mandarin. Annals of Botany, 108(3), 511-519. doi:10.1093/aob/mcr164Muñoz-Fambuena, N., Mesejo, C., González-Mas, M. C., Primo-Millo, E., Agustí, M., & Iglesias, D. J. (2012). Fruit load modulates flowering-related gene expression in buds of alternate-bearing ‘Moncada’ mandarin. Annals of Botany, 110(6), 1109-1118. doi:10.1093/aob/mcs190Nishikawa, F., Endo, T., Shimada, T., Fujii, H., Shimizu, T., Omura, M., & Ikoma, Y. (2007). Increased CiFT abundance in the stem correlates with floral induction by low temperature in Satsuma mandarin (Citrus unshiu Marc.). Journal of Experimental Botany, 58(14), 3915-3927. doi:10.1093/jxb/erm246Peña, L., Martín-Trillo, M., Juárez, J., Pina, J. A., Navarro, L., & Martínez-Zapater, J. M. (2001). Constitutive expression of Arabidopsis LEAFY or APETALA1 genes in citrus reduces their generation time. Nature Biotechnology, 19(3), 263-267. doi:10.1038/85719Pillitteri, L. J., Lovatt, C. J., & Walling, L. L. (2004). Isolation and Characterization of a TERMINAL FLOWER Homolog and Its Correlation with Juvenility in Citrus. Plant Physiology, 135(3), 1540-1551. doi:10.1104/pp.103.036178Seo, E., Lee, H., Jeon, J., Park, H., Kim, J., Noh, Y.-S., & Lee, I. (2009). Crosstalk between Cold Response and Flowering in Arabidopsis Is Mediated through the Flowering-Time Gene SOC1 and Its Upstream Negative Regulator FLC. The Plant Cell, 21(10), 3185-3197. doi:10.1105/tpc.108.063883Sgamma, T., Jackson, A., Muleo, R., Thomas, B., & Massiah, A. (2014). TEMPRANILLO is a regulator of juvenility in plants. Scientific Reports, 4(1). doi:10.1038/srep03704Shalom, L., Samuels, S., Zur, N., Shlizerman, L., Zemach, H., Weissberg, M., … Sadka, A. (2012). Alternate Bearing in Citrus: Changes in the Expression of Flowering Control Genes and in Global Gene Expression in ON- versus OFF-Crop Trees. PLoS ONE, 7(10), e46930. doi:10.1371/journal.pone.0046930Shalom, L., Samuels, S., Zur, N., Shlizerman, L., Doron-Faigenboim, A., Blumwald, E., & Sadka, A. (2014). Fruit load induces changes in global gene expression and in abscisic acid (ABA) and indole acetic acid (IAA) homeostasis in citrus buds. Journal of Experimental Botany, 65(12), 3029-3044. doi:10.1093/jxb/eru148Sohn, E. J., Rojas-Pierce, M., Pan, S., Carter, C., Serrano-Mislata, A., Madueno, F., … Raikhel, N. V. (2007). The shoot meristem identity gene TFL1 is involved in flower development and trafficking to the protein storage vacuole. Proceedings of the National Academy of Sciences, 104(47), 18801-18806. doi:10.1073/pnas.0708236104Spiegel-Roy, P., & Goldschmidt, E. E. (1996). The Biology of Citrus. doi:10.1017/cbo9780511600548Sussmilch, F. C., Berbel, A., Hecht, V., Vander Schoor, J. K., Ferrándiz, C., Madueño, F., & Weller, J. L. (2015). Pea VEGETATIVE2 Is an FD Homolog That Is Essential for Flowering and Compound Inflorescence Development. The Plant Cell, 27(4), 1046-1060. doi:10.1105/tpc.115.136150Tan, F.-C., & Swain, S. M. (2007). Functional characterization of AP3, SOC1 and WUS homologues from citrus (Citrus sinensis). Physiologia Plantarum, 131(3), 481-495. doi:10.1111/j.1399-3054.2007.00971.xLeal Valentim, F., Mourik, S. van, Posé, D., Kim, M. C., Schmid, M., van Ham, R. C. H. J., … van Dijk, A. D. J. (2015). A Quantitative and Dynamic Model of the Arabidopsis Flowering Time Gene Regulatory Network. PLOS ONE, 10(2), e0116973. doi:10.1371/journal.pone.0116973Wang, J.-W., Czech, B., & Weigel, D. (2009). miR156-Regulated SPL Transcription Factors Define an Endogenous Flowering Pathway in Arabidopsis thaliana. Cell, 138(4), 738-749. doi:10.1016/j.cell.2009.06.014Weigel, D. (1995). The Genetics of Flower Development: From Floral Induction to Ovule Morphogenesis. Annual Review of Genetics, 29(1), 19-39. doi:10.1146/annurev.ge.29.120195.00031

    Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

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    BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

    Effectiveness of an intervention for improving drug prescription in primary care patients with multimorbidity and polypharmacy:Study protocol of a cluster randomized clinical trial (Multi-PAP project)

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    This study was funded by the Fondo de Investigaciones Sanitarias ISCIII (Grant Numbers PI15/00276, PI15/00572, PI15/00996), REDISSEC (Project Numbers RD12/0001/0012, RD16/0001/0005), and the European Regional Development Fund ("A way to build Europe").Background: Multimorbidity is associated with negative effects both on people's health and on healthcare systems. A key problem linked to multimorbidity is polypharmacy, which in turn is associated with increased risk of partly preventable adverse effects, including mortality. The Ariadne principles describe a model of care based on a thorough assessment of diseases, treatments (and potential interactions), clinical status, context and preferences of patients with multimorbidity, with the aim of prioritizing and sharing realistic treatment goals that guide an individualized management. The aim of this study is to evaluate the effectiveness of a complex intervention that implements the Ariadne principles in a population of young-old patients with multimorbidity and polypharmacy. The intervention seeks to improve the appropriateness of prescribing in primary care (PC), as measured by the medication appropriateness index (MAI) score at 6 and 12months, as compared with usual care. Methods/Design: Design:pragmatic cluster randomized clinical trial. Unit of randomization: family physician (FP). Unit of analysis: patient. Scope: PC health centres in three autonomous communities: Aragon, Madrid, and Andalusia (Spain). Population: patients aged 65-74years with multimorbidity (≥3 chronic diseases) and polypharmacy (≥5 drugs prescribed in ≥3months). Sample size: n=400 (200 per study arm). Intervention: complex intervention based on the implementation of the Ariadne principles with two components: (1) FP training and (2) FP-patient interview. Outcomes: MAI score, health services use, quality of life (Euroqol 5D-5L), pharmacotherapy and adherence to treatment (Morisky-Green, Haynes-Sackett), and clinical and socio-demographic variables. Statistical analysis: primary outcome is the difference in MAI score between T0 and T1 and corresponding 95% confidence interval. Adjustment for confounding factors will be performed by multilevel analysis. All analyses will be carried out in accordance with the intention-to-treat principle. Discussion: It is essential to provide evidence concerning interventions on PC patients with polypharmacy and multimorbidity, conducted in the context of routine clinical practice, and involving young-old patients with significant potential for preventing negative health outcomes. Trial registration: Clinicaltrials.gov, NCT02866799Publisher PDFPeer reviewe

    A search for ultra-high-energy photons at the Pierre Auger Observatory exploiting air-shower universality

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    The Pierre Auger Observatory is the most sensitive detector to primary photons with energies above ∼0.2 EeV. It measures extensive air showers using a hybrid technique that combines a fluorescence detector (FD) with a ground array of particle detectors (SD). The signatures of a photon-induced air shower are a larger atmospheric depth at the shower maximum (Xmax_{max}) and a steeper lateral distribution function, along with a lower number of muons with respect to the bulk of hadron-induced background. Using observables measured by the FD and SD, three photon searches in different energy bands are performed. In particular, between threshold energies of 1-10 EeV, a new analysis technique has been developed by combining the FD-based measurement of Xmax_{max} with the SD signal through a parameter related to its muon content, derived from the universality of the air showers. This technique has led to a better photon/hadron separation and, consequently, to a higher search sensitivity, resulting in a tighter upper limit than before. The outcome of this new analysis is presented here, along with previous results in the energy ranges below 1 EeV and above 10 EeV. From the data collected by the Pierre Auger Observatory in about 15 years of operation, the most stringent constraints on the fraction of photons in the cosmic flux are set over almost three decades in energy

    Study on multi-ELVES in the Pierre Auger Observatory

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    Since 2013, the four sites of the Fluorescence Detector (FD) of the Pierre Auger Observatory record ELVES with a dedicated trigger. These UV light emissions are correlated to distant lightning strikes. The length of recorded traces has been increased from 100 μs (2013), to 300 μs (2014-16), to 900 μs (2017-present), to progressively extend the observation of the light emission towards the vertical of the causative lightning and beyond. A large fraction of the observed events shows double ELVES within the time window, and, in some cases, even more complex structures are observed. The nature of the multi-ELVES is not completely understood but may be related to the different types of lightning in which they are originated. For example, it is known that Narrow Bipolar Events can produce double ELVES, and Energetic In-cloud Pulses, occurring between the main negative and upper positive charge layer of clouds, can induce double and even quadruple ELVES in the ionosphere. This report shows the seasonal and daily dependence of the time gap, amplitude ratio, and correlation between the pulse widths of the peaks in a sample of 1000+ multi-ELVES events recorded during the period 2014-20. The events have been compared with data from other satellite and ground-based sensing devices to study the correlation of their properties with lightning observables such as altitude and polarity

    Outreach activities at the Pierre Auger Observatory

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    The ultra-high-energy cosmic-ray sky above 32 EeV viewed from the Pierre Auger Observatory

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    First results from the AugerPrime Radio Detector

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    Update of the Offline Framework for AugerPrime

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    Extraction of the Muon Signals Recorded with the Surface Detector of the Pierre Auger Observatory Using Recurrent Neural Networks

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    We present a method based on the use of Recurrent Neural Networks to extract the muon component from the time traces registered with water-Cherenkov detector (WCD) stations of the Surface Detector of the Pierre Auger Observatory. The design of the WCDs does not allow to separate the contribution of muons to the time traces obtained from the WCDs from those of photons, electrons and positrons for all events. Separating the muon and electromagnetic components is crucial for the determination of the nature of the primary cosmic rays and properties of the hadronic interactions at ultra-high energies. We trained a neural network to extract the muon and the electromagnetic components from the WCD traces using a large set of simulated air showers, with around 450 000 simulated events. For training and evaluating the performance of the neural network, simulated events with energies between 1018.5, eV and 1020 eV and zenith angles below 60 degrees were used. We also study the performance of this method on experimental data of the Pierre Auger Observatory and show that our predicted muon lateral distributions agree with the parameterizations obtained by the AGASA collaboration
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