18 research outputs found

    CARACTERIZACIÓN AMBIENTAL Y ESTACIONAL DEL ENSAMBLE DE AVES ACUÁTICAS DE LA MESETA DEL LAGO STROBEL, PATAGONIA, ARGENTINA

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    RESUMEN ∙ Los humedales se encuentran entre los ecosistemas más relevantes debido a su papel como reservorios de biodiversidad y su rol ecológico es particularmente importante en las regiones áridas. Este estudio analiza la estructura de los ensambles de aves acuáticas de la Meseta del Lago Strobel, un sitio importante para la conservación de las aves en Patagonia. Se analizó la composición de especies, abundancia, riqueza y diversidad específica considerando variaciones estacionales y el uso de ambientes particulares. Durante cinco años se realizaron 243 conteos en 102 lagunas, en las estaciones primavera, verano y otoño. Se analizó el uso de ambientes en base a una clasificación previa que definió cuatro tipos de lagunas: grandes no vegetadas (GNV), grandes vegetadas (GV), pequeñas vegetadas (PV) y turbias (TB). Se registraron 18 especies de aves acuáticas, pertenecientes a 5 familias y 12 géneros. La mayor abundancia de aves se observó en primavera y en lagunas GV, y el máximo de diversidad se registró en verano en las lagunas TB. La familia Anatidae dominó los ensambles en todos los tipos de lagunas y estaciones del año analizadas, tanto en términos de abundancia como en frecuencia de ocurrencia. Dos especies amenazadas incluidas en este estudio (Macá Tobiano, Podiceps gallardoi y Flamenco Austral, Phoenicopterus chilensis) y un migrante Neártico (Falaropo Común, Phalaropus tricolor) formaron parte de las especies importantes del ensamble. Este estudio muestra la relevancia de las características particulares de los ambientes en la conformación y dinámica temporal de los ensambles de aves acuáticas de la meseta de lago Strobel. Las lagunas de la meseta constituyen un mosaico dinámico con importantes variaciones interanuales en la abundancia de lagunas y sus características limnológicas. En este contexto las aves dependerían de la red de lagunas más que de cuerpos de agua individuales. Las acciones de manejo dirigidas a la conservación deberían contemplar al sistema completo de lagunas, considerando además su variación temporal.ABSTRACT ∙ Spatial and seasonal characterization of the waterbird assemblage of The Strobel Plateau, Patagonia, Argentina Wetlands are key ecosystems due to their role as biodiversity reservoirs, and are particularly important in arid environments. We studied the waterbird assemblage structure of the Strobel Plateau, an important bird conservation area in southern Patagonia. The effects of spatial and seasonal variation on species composition, abundance, richness, and diversity were analyzed based on 243 counts in 102 shallow lakes during spring, summer, and autumn. Habitat utilization was assessed based on a previous classification which defined 4 different types of lakes: large non‐vegetated (GNV), large vegetated (GV), small vegetated (PV), and turbid (TB). We recorded 18 waterbird species comprising five families and 12 genera. Maximum waterbird abundance was observed in spring in the GV lakes, while highest diversity appeared in summer at the TB lakes. Ducks and swans (family Anatidae) dominated the assemblages in all kind of lakes and during all evaluated seasons, both in abundance and frequency of occurrence. The threatened species (Hooded Grebe, Podiceps gallardoi; Chilean Flamingo, Phoenicopterus chilensis) and the only Neartic migrant (Wilsons’s Phalarope, Phalaropus tricolor) recorded were an important part of the assemblage. This study shows the importance of habitat characteristics in determining the structure of waterbird assemblages and their temporal dynamics in Lake Strobel Plateau. The plateau lakes are a dynamic mosaic showing marked seasonal variation in number and limnological characteristics. In this context, aquatic birds may depend more on the network of lakes than on individual lakes. Thus, conservation management actions need to take into account the lake system as a whole and its temporal patterns of variation

    Galectin-1 fosters an immunosuppressive microenvironment in colorectal cancer by reprogramming CD8⁺ regulatory T cells

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    Colorectal cancer (CRC) represents the third most common malignancy and the second leading cause of cancer-related deaths worldwide. Although immunotherapy has taken center stage in mainstream oncology, it has shown limited clinical efficacy in CRC, generating an urgent need for discovery of new biomarkers and potential therapeutic targets. Galectin-1 (Gal-1), an endogenous glycan-binding protein, induces tolerogenic programs and contributes to tumor cell evasion of immune responses. Here, we investigated the relevance of Gal-1 in CRC and explored its modulatory activity within the CD8⁺ regulatory T cell (Treg) compartment. Mice lacking Gal-1 (Lgals1 -/- ) developed a lower number of tumors and showed a decreased frequency of a particular population of CD8⁺CD122⁺PD-1⁺ Tregs in the azoxymethane-dextran sodium sulfate model of colitis-associated CRC. Moreover, silencing of tumor-derived Gal-1 in the syngeneic CT26 CRC model resulted in reduced number and attenuated immunosuppressive capacity of CD8⁺CD122⁺PD-1⁺ Tregs, leading to slower tumor growth. Moreover, stromal Gal-1 also influenced the fitness of CD8⁺ Tregs, highlighting the contribution of both tumor and stromal-derived Gal-1 to this immunoregulatory effect. Finally, bioinformatic analysis of a colorectal adenocarcinoma from The Cancer Genome Atlas dataset revealed a particular signature characterized by high CD8⁺ Treg score and elevated Gal-1 expression, which delineates poor prognosis in human CRC. Our findings identify CD8⁺CD122⁺PD-1⁺ Tregs as a target of the immunoregulatory activity of Gal-1, suggesting a potential immunotherapeutic strategy for the treatment of CRC.Centro de Investigaciones Inmunológicas Básicas y Aplicada

    Defining the causes of sporadic Parkinson’s disease in the global Parkinson’s genetics program (GP2)

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    The Global Parkinson’s Genetics Program (GP2) will genotype over 150,000 participants from around the world, and integrate genetic and clinical data for use in large-scale analyses to dramatically expand our understanding of the genetic architecture of PD. This report details the workflow for cohort integration into the complex arm of GP2, and together with our outline of the monogenic hub in a companion paper, provides a generalizable blueprint for establishing large scale collaborative research consortia

    Multi-ancestry genome-wide association meta-analysis of Parkinson?s disease

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    Although over 90 independent risk variants have been identified for Parkinson’s disease using genome-wide association studies, most studies have been performed in just one population at a time. Here we performed a large-scale multi-ancestry meta-analysis of Parkinson’s disease with 49,049 cases, 18,785 proxy cases and 2,458,063 controls including individuals of European, East Asian, Latin American and African ancestry. In a meta-analysis, we identified 78 independent genome-wide significant loci, including 12 potentially novel loci (MTF2, PIK3CA, ADD1, SYBU, IRS2, USP8, PIGL, FASN, MYLK2, USP25, EP300 and PPP6R2) and fine-mapped 6 putative causal variants at 6 known PD loci. By combining our results with publicly available eQTL data, we identified 25 putative risk genes in these novel loci whose expression is associated with PD risk. This work lays the groundwork for future efforts aimed at identifying PD loci in non-European populations

    Defining the causes of sporadic Parkinson's disease in the global Parkinson's genetics program (GP2)

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    The Global Parkinson’s Genetics Program (GP2) will genotype over 150,000 participants from around the world, and integrate genetic and clinical data for use in large-scale analyses to dramatically expand our understanding of the genetic architecture of PD. This report details the workflow for cohort integration into the complex arm of GP2, and together with our outline of the monogenic hub in a companion paper, provides a generalizable blueprint for establishing large scale collaborative research consortia

    Un método de identificación de áreas críticas para sistemas de agua y saneamiento mediante la utilización de SIG

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    En el presente trabajo se presenta un método de identificación de áreas críticas para sistemas de agua y saneamiento, aplicado a la ciudad de Salta mediante la utilización de Sistemas de Información Geográfica (SIG). El método consistió en primer lugar en la confección de tres mapas base mediante la utilización de datos de NBI, reclamos y nitratos, los cuales fueron probados como criterios de evaluación. Posteriormente, estos mapas fueron mezclados, utilizando dos combinaciones de capas, mediante software específico. Como resultado de este proceso se obtuvieron mapas de áreas críticas, considerados pasos iniciales de un análisis de sustentabilidad más profundo del sistema de agua y saneamiento local. La información necesaria para la confección de los mapas se obtuvo de datos entregados por la empresa prestataria del servicio (CoSAySA), el Ente Regulador de los Servicios Públicos (ENRESP), el Instituto Nacional de Estadísticas y Censos (INDEC) y la Dirección de General de Estadísticas de la provincia de Salta. Los resultados obtenidos mostraron que la metodología es sensible para detectar áreas críticas y mostrar información del sistema zonificada por niveles de criticidad. Otros criterios de evaluación podrían ser probados en etapas posteriores para analizar la sensibilidad de los mismos en la identificación de áreas críticas a nivel local.In this article we categorize the water and sanitation management system of the city of Salta (Argentina) in homogeneous areas by using Geographic Information Systems (GIS). Three criteria were used to distinguish between different areas: (1) the index of Unsatisfied Basic Needs (NBI); (2) the number of complaints received by the water company in different neighborhoods; and (3) the level of nitrates in water samples obtained in all active groundwater wells. These criteria were mapped and the resulting maps were combined using two different arrangements of layers with specific GIS software. The combined maps can be used to spot areas where there are actual or potential problems in the water and sanitation management system (critical areas). The identification of critical areas is important to assess the overall sustainability of this system and to devise more efficient action plans. Information used to build the maps was obtained from the local water company, the government’s regulatory body, and national or provincial statistics offices. The methodology used was appropriate to classify the city in different areas according to the indicators studied, and to spot areas that could be critical in terms of water and sanitation services. Future research will include maps obtained with other criteria (such as service coverage and water quality) and complementary field research to confirm or refute the findings obtained with GIS techniques.Fil: Copa, F.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Salta. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta; ArgentinaFil: Iribarnegaray, Martín Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Salta. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta; ArgentinaFil: Correa, J. J.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Salta. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta; ArgentinaFil: Arredondo, M. F.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Salta. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta; ArgentinaFil: Gatto D´andrea, M. L.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Salta. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta; ArgentinaFil: Cabral, J. D.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Salta. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta; ArgentinaFil: Liberal, V.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Salta. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta; ArgentinaFil: Seghezzo, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Salta. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta; Argentin

    A comprehensive index to assess the sustainability of water and sanitation management systems

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    A comprehensive sustainability index for the assessment of water and sanitation management systems (WSMS) is presented. The index was based on a conceptual framework that perceives sustainability as a combination of territorial, temporal, and personal aspects. A set of sustainability indicators was selected in agreement within this framework, and the 'Water and Sanitation Sustainability Index' (WASSI) was built. The WASSI was used to assess the sustainability of the WSMS of the city of Salta, Argentina. Indicators were calculated from information gathered by several means including literature reviews, questionnaires, visits, and participatory workshops. The index was sensitive to detect variations between different aspects of the local WSMS. It was also relatively independent to the quantity and quality of the information available. The WASSI could be a useful tool to assess and improve sustainability of water and sanitation throughout the management systems. © IWA Publishing 2012.Fil: Iribarnegaray, Martín Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaFil: Copa, F. R.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaFil: Gatto D'andrea, María Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaFil: Arredondo, M. F.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaFil: Cabral, J. D.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaFil: Correa, J. J.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaFil: Liberal, Viviana Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaFil: Seghezzo, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentin

    Orchestrating high-throughput genomic analysis with bioconductor

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    Bioconductor is an open-source, open-development software project for the analysis and comprehension of high-throughput data in genomics and molecular biology. The project aims to enable interdisciplinary research, collaboration and rapid development of scientific software. Based on the statistical programming language R, Bioconductor comprises 934 interoperable packages contributed by a large, diverse community of scientists. Packages cover a range of bioinformatic and statistical applications. They undergo formal initial review and continuous automated testing. We present an overview for prospective users and contributors122115121United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Human Genome Research Institute (NHGRI); National Science Foundation (NSF); European Commission FP7 project RADIANT; NIH National Cancer Institute (NCI

    Orchestrating high-throughput genomic analysis with Bioconductor.

    No full text
    Bioconductor is an open-source, open-development software project for the analysis and comprehension of high-throughput data in genomics and molecular biology. The project aims to enable interdisciplinary research, collaboration and rapid development of scientific software. Based on the statistical programming language R, Bioconductor comprises 934 interoperable packages contributed by a large, diverse community of scientists. Packages cover a range of bioinformatic and statistical applications. They undergo formal initial review and continuous automated testing. We present an overview for prospective users and contributors
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