1,572 research outputs found

    Genome Sequence of Corynebacterium pseudotuberculosis MB20 bv. equi Isolated from a Pectoral Abscess of an Oldenburg Horse in California.

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    The genome of Corynebacterium pseudotuberculosis MB20 bv. equi was sequenced using the Ion Personal Genome Machine (PGM) platform, and showed a size of 2,363,089 bp, with 2,365 coding sequences and a GC content of 52.1%. These results will serve as a basis for further studies on the pathogenicity of C. pseudotuberculosis bv. equi

    INFLUÊNCIA DO MANEJO QUÍMICO NO CAPIM AMARGOSO EM CULTIVO DE SOJA

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    A soja é uma cultura de elevado potencial produtivo, entretanto sua produção é limitada pelas plantas daninhas, devido a competição por fatores abióticos, além de produzir substancias alelopáticas capazes de interferir na qualidade e produtividade da cultura. Objetivou-se avaliar a eficiência do herbicida glyphosate, isolado ou em mistura com haloxifop-p-metílico, no controle do capim-amargoso (Digitaria insularis). O trabalho foi desenvolvido em área experimental com a cultura da soja e desenvolvimento espontâneo de plantas daninhas. Os tratamentos foram: dose recomendada de glyphosate (720 g ha-1 e.a.); dose recomendada de haloxyfop (60 g ha-1 i.a.); meia dose de glyphosate + meia dose de haloxyfop (360 g ha-1 e.a. + 30 g ha-1 i.a., respectivamente); dose recomendada de glyphosate + haloxyfop; meia dose de glyphosate + dose recomendada de haloxyfop; dose recomendada de glyphosate + meia dose de haloxyfop; testemunha sem a presença de plantas daninhas e com presença de daninhas. Foram avaliados os componentes produtivos da soja, fitotoxicidade do herbicida na cultura e na espécie invasora, e a massa vegetal da planta daninha. Os tratamentos com haloxyfop isolado ou em mistura com glyphosate promovem amarelecimento evoluindo para necrose do capim-amargoso, entretanto, em aplicação de glyphosate isoladamente, este apresentou pouco ou nenhum efeito sobre as plantas daninhas, indicando possível tolerância do biótipo do capim amargoso ao glyphosate. A produtividade da soja apresenta decréscimo de até 3.059 kg ha-1 (90,10%) quando comparado com áreas onde houve aplicação. A população de plantas de soja por metro linear é reduzida significativamente quando não há o controle químico das plantas daninhas.Palavras-chave: Digitaria insularis; fitointoxicação; herbicida. INFLUENCE OF CHEMICAL MANAGEMENT IN THE BITTER CAPIM IN SOYBEAN CULTIVATION ABSTRACT: Soybean is a crop with high productive potential, but its production is limited by weeds due to competition for abiotic factors, as well as producing allelopathic substances capable of interfering with the quality and productivity of the crop. The objective of this study was to evaluate the efficiency of the glyphosate herbicide, isolated or in combination with haloxyfop-p-methyl, in the control of bittergrass (Digitaria insularis). The work was developed in an experimental area with the soybean crop and spontaneous development of weeds. The treatments were: recommended dose of glyphosate (720 g ha-1 e.a.); recommended dose of haloxyfop (60 g ha-1 a.i.); half dose of glyphosate + half dose of haloxyfop (360 g ha-1 e.a. + 30 g ha-1 a.i., respectively); recommended dose of glyphosate + haloxyfop; half dose of glyphosate + recommended dose of haloxyfop; recommended dose of glyphosate + half dose of haloxyfop; control without the presence of weeds. The productive components of soybean, phytotoxicity of the herbicide in the crop and the invasive species, and the plant mass of the weed were evaluated. The treatments with haloxyfop alone or in combination with glyphosate promote yellowing evolving towards amargoso necrosis; however, in application of glyphosate alone, this showed little or no effect on the weeds, indicating a possible tolerance of the biotype of the bitter grass to the glyphosate. Soybean yield decreased by up 3,059 kg ha-1 (90.10%) when compared to areas where there was application. The population of soybean plants per linear meter is significantly reduced when there is no chemical control of weeds.Keywords: Digitaria insularis; phytointoxication; herbicide

    Lama guanicoe: Guanaco

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    Si bien hubo una drástica reducción poblacional del guanaco en Argentina, estimada entre el 90 y 97% desde la colonización europea, la tendencia de los últimos 30 años fue en aumento (González & Acebes 2016). Actualmente, la población total estimada para Argentina es de un poco menos de un millón de guanacos (González & Acebes 2016) y la amplitud en la extensión de presencia y en el área de ocupación sugiere que la especie a nivel nacional sea catalogada como de Preocupación Menor (LC). Sin embargo, esta categorización debe tomarse con cautela, puesto que si bien las poblaciones en Patagonia se han incrementado durante la última década, las del centro-oeste y norte del país, son poblaciones reducidas, fragmentadas y aisladas. Por lo tanto, es necesario evaluar el estado de conservación a nivel regional (ver evaluación de sub-poblaciones).Fil: Carmanchahi, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Panebianco, Antonella. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Leggieri, Leonardo Ramón. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Barri, Fernando Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; ArgentinaFil: Marozzi, Antonela Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Flores, Celina Eliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; ArgentinaFil: Moreno, Pablo Gastón. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; ArgentinaFil: Schroeder, Matias Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; ArgentinaFil: Cepeda, Carla Tamara. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Sur. Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Oliva, Gabriel Esteban. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Sur. Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Kin, Marta Susana. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Gregorio, Pablo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Ovejero Aguilar, Ramiro Jose Antonio. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; ArgentinaFil: Acebes, Pablo. Universidad Autónoma de Madrid; EspañaFil: Schneider, Cristian. Asociación para la Conservación y Estudio de la Naturaleza; ArgentinaFil: Pedrana, Julieta. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Centro de Estudios Mar del Plata; ArgentinaFil: Taraborelli, Paula Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur; Argentin

    Expansion-enhanced super-resolution radial fluctuations enable nanoscale molecular profiling of pathology specimens

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    Expansion microscopy physically enlarges biological specimens to achieve nanoscale resolution using diffraction-limited microscopy systems1. However, optimal performance is usually reached using laser-based systems (for example, confocal microscopy), restricting its broad applicability in clinical pathology, as most centres have access only to light-emitting diode (LED)-based widefield systems. As a possible alternative, a computational method for image resolution enhancement, namely, super-resolution radial fluctuations (SRRF)2,3, has recently been developed. However, this method has not been explored in pathology specimens to date, because on its own, it does not achieve sufficient resolution for routine clinical use. Here, we report expansion-enhanced super-resolution radial fluctuations (ExSRRF), a simple, robust, scalable and accessible workflow that provides a resolution of up to 25 nm using LED-based widefield microscopy. ExSRRF enables molecular profiling of subcellular structures from archival formalin-fixed paraffin-embedded tissues in complex clinical and experimental specimens, including ischaemic, degenerative, neoplastic, genetic and immune-mediated disorders. Furthermore, as examples of its potential application to experimental and clinical pathology, we show that ExSRRF can be used to identify and quantify classical features of endoplasmic reticulum stress in the murine ischaemic kidney and diagnostic ultrastructural features in human kidney biopsies.</p

    Omics profiles used to evaluate the gene expression of Exiguobacterium antarcticum B7 during cold adaptation

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    Abstract\ud \ud Background\ud \ud Exiguobacterium antarcticum strain B7 is a Gram-positive psychrotrophic bacterial species isolated in Antarctica. Although this bacteria has been poorly studied, its genome has already been sequenced. Therefore, it is an appropriate model for the study of thermal adaptation. In the present study, we analyzed the transcriptomes and proteomes of E. antarcticum B7 grown at 0°C and 37°C by SOLiD RNA-Seq, Ion Torrent RNA-Seq and two-dimensional difference gel electrophoresis tandem mass spectrometry (2D-DIGE-MS/MS).\ud \ud \ud Results\ud We found expression of 2,058 transcripts in all replicates from both platforms and differential expression of 564 genes (absolute log2FC ≥1, P-value <0.001) comparing the two temperatures by RNA-Seq. A total of 73 spots were differentially expressed between the two temperatures on 2D-DIGE, 25 of which were identified by MS/MS. Some proteins exhibited patterns of dispersion in the gel that are characteristic of post-translational modifications.\ud \ud \ud Conclusions\ud Our findings suggest that the two sequencing platforms yielded similar results and that different omic approaches may be used to improve the understanding of gene expression. To adapt to low temperatures, E. antarcticum B7 expresses four of the six cold-shock proteins present in its genome. The cold-shock proteins were the most abundant in the bacterial proteome at 0°C. Some of the differentially expressed genes are required to preserve transcription and translation, while others encode proteins that contribute to the maintenance of the intracellular environment and appropriate protein folding. The results denote the complexity intrinsic to the adaptation of psychrotrophic organisms to cold environments and are based on two omic approaches. They also unveil the lifestyle of a bacterial species isolated in Antarctica.CNPqCAPESUFPAFINEPFAPEMIGFundação para a Ciência e a Tecnologia de Portugal (FCT

    Genome-wide meta-analysis for Alzheimer's disease cerebrospinal fluid biomarkers

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    Amyloid-beta 42 (A beta 42) and phosphorylated tau (pTau) levels in cerebrospinal fluid (CSF) reflect core features of the pathogenesis of Alzheimer's disease (AD) more directly than clinical diagnosis. Initiated by the European Alzheimer & Dementia Biobank (EADB), the largest collaborative effort on genetics underlying CSF biomarkers was established, including 31 cohorts with a total of 13,116 individuals (discovery n = 8074; replication n = 5042 individuals). Besides the APOE locus, novel associations with two other well-established AD risk loci were observed; CR1 was shown a locus for A beta 42 and BIN1 for pTau. GMNC and C16orf95 were further identified as loci for pTau, of which the latter is novel. Clustering methods exploring the influence of all known AD risk loci on the CSF protein levels, revealed 4 biological categories suggesting multiple A beta 42 and pTau related biological pathways involved in the etiology of AD. In functional follow-up analyses, GMNC and C16orf95 both associated with lateral ventricular volume, implying an overlap in genetic etiology for tau levels and brain ventricular volume.Peer reviewe

    Nonequilibrium sub–10 nm spin-wave soliton formation in FePt nanoparticles

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    Magnetic nanoparticles such as FePt in the L1 0 phase are the bedrock of our current data storage technology. As the grains become smaller to keep up with technological demands, the superparamagnetic limit calls for materials with higher magnetocrystalline anisotropy. This, in turn, reduces the magnetic exchange length to just a few nanometers, enabling magnetic structures to be induced within the nanoparticles. Here, we describe the existence of spin-wave solitons, dynamic localized bound states of spin-wave excitations, in FePt nanoparticles. We show with time-resolved x-ray diffraction and micromagnetic modeling that spin-wave solitons of sub–10 nm sizes form out of the demagnetized state following femtosecond laser excitation. The measured soliton spin precession frequency of 0.1 THz positions this system as a platform to develop novel miniature devices

    New insights into the genetic etiology of Alzheimer's disease and related dementias

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    Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele

    Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

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    Funder: Funder: Fundación bancaria ‘La Caixa’ Number: LCF/PR/PR16/51110003 Funder: Grifols SA Number: LCF/PR/PR16/51110003 Funder: European Union/EFPIA Innovative Medicines Initiative Joint Number: 115975 Funder: JPco-fuND FP-829-029 Number: 733051061Genetic discoveries of Alzheimer's disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer's disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer's disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer's disease

    The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar and APOGEE-2 Data

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    This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky Surveys; the fifth and final release from the fourth phase (SDSS-IV). DR17 contains the complete release of the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey, which reached its goal of surveying over 10,000 nearby galaxies. The complete release of the MaNGA Stellar Library (MaStar) accompanies this data, providing observations of almost 30,000 stars through the MaNGA instrument during bright time. DR17 also contains the complete release of the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) survey which publicly releases infra-red spectra of over 650,000 stars. The main sample from the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), as well as the sub-survey Time Domain Spectroscopic Survey (TDSS) data were fully released in DR16. New single-fiber optical spectroscopy released in DR17 is from the SPectroscipic IDentification of ERosita Survey (SPIDERS) sub-survey and the eBOSS-RM program. Along with the primary data sets, DR17 includes 25 new or updated Value Added Catalogs (VACs). This paper concludes the release of SDSS-IV survey data. SDSS continues into its fifth phase with observations already underway for the Milky Way Mapper (MWM), Local Volume Mapper (LVM) and Black Hole Mapper (BHM) surveys
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