15 research outputs found

    The Horizontal Branch of NGC 1851: Constraints from its RR Lyrae Variables

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    We use the pulsational properties of the RR Lyrae variables in the globular cluster NGC 1851 to obtain detailed constraints of the various sub-stellar populations present along its horizontal branch. On the basis of detailed synthetic horizontal branch modeling, we find that minor helium variations (Y~0.248-0.280) are able to reproduce the observed periods and amplitudes of the RR Lyrae variables, as well as the frequency of fundamental and first-overtone RR Lyrae stars. Comparison of number ratios amongst the blue and red horizontal branch components and the two observed subgiant branches also suggest that the RR Lyrae variables originated from the progeny of the bright subgiant branch. The RR Lyrae variables with a slightly enhanced helium (Y~0.270-0.280) have longer periods at a given amplitude, as is seen with Oosterhoff II (OoII) RR Lyrae variables, whereas the RR Lyrae variables with Y~0.248-0.270 have shorter periods, exhibiting properties of Oosterhoff I (OoI) variables. This correlation does suggest that the pulsational properties of RR Lyrae stars can be very useful for tracing the various sub-populations and can provide suitable constraints on the multiple population phenomenon. It appears of great interest to explore whether this conclusion can be generalized to other globular clusters hosting multiple populations.Comment: accepted to A

    LMC S154: the first Magellanic symbiotic recurrent nova

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    Classical nova outburst has been suggested for a number of extragalactic symbiotic stars, but in none of the systems has it been proven. In this work we study the nature of one of these systems, LMC S154. We gathered archival photometric observations in order to determine the timescales and nature of variability in this system. Additionally we carried out photometric and spectroscopic monitoring of the system and fitted synthetic spectra to the observations. Carbon abundance in the photosphere of the red giant is significantly higher than that derived for the nebula, which confirms pollution of the circumbinary material by the ejecta from nova outburst. The photometric and spectroscopic data show that the system reached quiescence in 2009, which means that for the first time all of the phases of a nova outburst were observed in an extragalactic symbiotic star. The data indicate that most probably there were three outbursts observed in LMC S154, which would make this system a member of a rare class of symbiotic recurrent novae. The recurrent nature of the system is supported by the discovery of coronal lines in the spectra, which are observed only in symbiotic stars with massive white dwarfs and with short-recurrence-time outbursts. Gathered evidence is sufficient to classify LMC S154 as the first bona fide extragalactic symbiotic nova, which is likely a recurrent nova. It is also the first nova with a carbon-rich donor.Comment: 16 pages, 7 figures, accepted for publication in A&

    Massive open star clusters using the VVV survey : V. Young clusters with an OB stellar population

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    Context. The ESO public survey VISTA Variables in the Vía Láctea (VVV) has contributed with deep multi-epoch photometry of the Galactic bulge and the adjacent part of the disk over 526 sq. deg. More than a hundred cluster candidates have been reported thanks to this survey. Aims. We present the fifth article in a series of papers focused on young and massive clusters discovered in the VVV survey. In this paper, we present the physical characterization of five clusters with a spectroscopically confirmed OB-type stellar population. Methods. To characterize the clusters, we used near-infrared photometry (J, H, and KS) from the VVV survey and near-infrared K-band spectroscopy from ISAAC at VLT, following the methodology presented in the previous articles of the series. Results. All clusters in our sample are very young (ages between 1–20 Myr), and their total mass are between (1.07+0.40 −0.30) × 102 M and (4.17+4.15 −2.08) × 103 M . We observed a relation between the clusters total mass Mecl and the mass of their most massive stellar member mmax, for clusters with an age <10 Myr

    Quantification of Enterohemorrhagic Escherichia coli O157:H7 proteome using TMT-Based Analysis

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    Enterohemorrhagic Escherichia coli (EHEC) O157:H7 is a human pathogen responsible for diarrhea, hemorrhagic colitis and hemolytic uremic syndrome (HUS). EHEC infection is distributed worldwide and numerous outbreaks of diseases caused by enterohemorrhagic have been reported. To promote a comprehensive insight into the molecular basis of EHEC O157:H7 physiology and pathogenesis, the combined proteome of EHEC O157:H7 strains, Clade 8 and Clade 6 isolated from cattle in Argentina, and the standard EDL933 (clade 3) strain has been analyzed. TMT (Tandem Mass Tags)-based quantitative proteomic and emPAI analyses were performed to estimate the protein abundance in EHEC proteome. 2,234 non-redundant proteins of EHEC O157:H7 were identified. A comparison of this result with in silico data of EHEC O157:H7 genome showed that approximately 40% of the predicted proteome of this pathogen were covered. According to the emPAI analysis, 85 proteins were among the most abundant (e.g. GAPDH, FliC H-antigen, Enolase, and GroEL). Tellurite resistance proteins were also highly abundant. COG analysis showed that although most of the identified proteins are related to cellular metabolism, the majority of the most abundant proteins are associated with translation processes. A KEGG enrichment analysis revealed that Glycolysis / Gluconeogenesis was the most significant pathway. On the other hand, the less abundant detected proteins are those related to DNA processes, cell respiration and prophage. Among the proteins that composed the Type III Secretion System, the most abundant protein was EspA. Altogether, the results show a subset of important proteins that contribute to physiology and pathogenicity of EHEC O157:H7.IMPORTANCE The study of the abundance of proteins present within a complex mixture of proteins in a cell, under different conditions, can provide important information about the activities of individual protein components and protein networks that are cornerstones for the comprehension of physiological adaptations in response to biological demands promoted by environmental changes. We generated a comprehensive and accurate quantitative list of EHEC O157:H7 proteome, which provides a description of the most abundant proteins produced by this pathogen that were related to physiology and pathogenesis of EHEC. This study provides information and extends the understanding on functional genomics and the biology of this pathogen.Fil: Marques Da Silva, Wanderson. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bei, Jinlong. No especifíca;Fil: Amigo, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Valacco, Maria Pia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Amadio, Ariel. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Rafaela; ArgentinaFil: Zhang, Qi. No especifíca;Fil: Wu, Xiuju. No especifíca;Fil: Yu, Ting. No especifíca;Fil: Larzabal, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Chen, Zhuang. No especifíca;Fil: Cataldi, Angel Adrian. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

    Quantification of enterohemorrhagic Escherichia coli O157:H7 protein abundance by high-throughput proteome

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    Enterohemorrhagic Escherichia coli (EHEC) O157:H7 is a human pathogen responsible fordiarrhea, hemorrhagic colitis and hemolytic uremic syndrome (HUS). To promote a comprehensiveinsight into the molecular basis of EHEC O157:H7 physiology and pathogenesis,the combined proteome of EHEC O157:H7 strains, Clade 8 and Clade 6 isolated from cattlein Argentina, and the standard EDL933 (clade 3) strain has been analyzed. From shotgunproteomic analysis a total of 2,644 non-redundant proteins of EHEC O157:H7 were identified,which correspond approximately 47% of the predicted proteome of this pathogen. Normalizedspectrum abundance factor analysis was performed to estimate the proteinabundance. According this analysis, 50 proteins were detected as the most abundant ofEHEC O157:H7 proteome. COG analysis showed that the majority of the most abundantproteins are associated with translation processes. A KEGG enrichment analysis revealedthat Glycolysis / Gluconeogenesis was the most significant pathway. On the other hand, theless abundant detected proteins are those related to DNA processes, cell respiration andprophage. Among the proteins that composed the Type III Secretion System, the mostabundant protein was EspA. Altogether, the results show a subset of important proteins thatcontribute to physiology and pathogenicity of EHEC O157:H7.Fil: Marques Da Silva, Wanderson. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Bei, Jinlong. Guangdong Academy Of Agricultural Sciences; ChinaFil: Amigo, Natalia. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Valacco, Maria Pia. Universidad de Buenos Aires; ArgentinaFil: Amadio, Ariel Fernando. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; ArgentinaFil: Zhang, Qi. Guangdong Academy Of Agricultural Sciences; ChinaFil: Wu, Xiuju. Guangdong Academy Of Agricultural Sciences; ChinaFil: Yu, Ting. Guangdong Academy Of Agricultural Sciences; ChinaFil: Larzabal, Mariano. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; ArgentinaFil: Chen, Zhuang. Guangdong Academy Of Agricultural Sciences; ChinaFil: Cataldi, Ángel Adrián. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentin

    Multiple stellar populations in the globular cluster M3 (NGC 5272): a Str\uf6mgren perspective

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    We present Str\"omgren photometry of the Galactic Globular Cluster M3 to study its multiple generations phenomenon. The use of different colour-magnitude diagrams and especially of the notoriously efficient c_y index allowed us to detect a double Red Giant Branch in the cluster CMD. After decontamination from fore- and background sources, the two sequences turned out to be equally populated. The two components also show a bimodal radial distribution well corresponding to that predicted by numerical simulations for clusters living in an intermediate dynamical evolutive state and with a population with modified chemical composition that was born more centrally concentrated than the primordial. The analysis of high-resolution spectra quantitatively demonstrates that the two detected sequences correspond to the first (Na-poor) generation and the second (Na-rich) generation, thus confirming the importance of synergy between photometry and spectroscopy

    Massive open star clusters using the VVV survey : V. Young clusters with an OB stellar population

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    Context. The ESO public survey VISTA Variables in the Vía Láctea (VVV) has contributed with deep multi-epoch photometry of the Galactic bulge and the adjacent part of the disk over 526 sq. deg. More than a hundred cluster candidates have been reported thanks to this survey. Aims. We present the fifth article in a series of papers focused on young and massive clusters discovered in the VVV survey. In this paper, we present the physical characterization of five clusters with a spectroscopically confirmed OB-type stellar population. Methods. To characterize the clusters, we used near-infrared photometry (J, H, and KS) from the VVV survey and near-infrared K-band spectroscopy from ISAAC at VLT, following the methodology presented in the previous articles of the series. Results. All clusters in our sample are very young (ages between 1–20 Myr), and their total mass are between (1.07+0.40 −0.30) × 102 M and (4.17+4.15 −2.08) × 103 M . We observed a relation between the clusters total mass Mecl and the mass of their most massive stellar member mmax, for clusters with an age <10 Myr
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