Modeling Daily Production of Aquatic Macrophytes from Irradiance Measurements: A Comparative Analysis

The importance of submerged aquatic macrophytes to coastal ecosystems has generated a need for knowledge of minimum light levels that will support the maintenance and restoration of healthy populations. Our goals were (1) to evaluate the sensitivity to natural, non-sinusoidal fluctuations in irradiance I of analytical integration techniques for calculating daily carbon gain, (2) to evaluate the Hsat (the daily period of I-saturated photosynthesis) model of daily production relative to models based on instantaneous photosynthesis vs irradiance (P vs I) and (3) to provide some guidance for the temporal density of irradiance data required for accurate estimation of daily carbon gain. Monthly measures of the P vs I response of an eelgrass Zostera marina L. population were used to predict rates of daily carbon gain from continuous in situ recordings of I. Daily integrated I was not a reliable predictor of daily production. Numerical (iterative) integration of Hsat was much more reliable but required repeated measures of I within a day, as did numerical integration of P vs I. Analytical (non-iterative) models based only on observations of Im (noon) could not predict daily production accurately. Analytical models of P vs I and Hsat agreed with each other, however, indicating that the analytical models may be useful where the daily pattern of I is sinusoidal. Given the high degree oi temporal variability in coastal light environments, continuous monitoring of light availability may be required for calculation of daily production and reliable management of aquatic macrophyte populations

Fortalecimiento de las capacidades de gobernanza para ciudades inteligentes sostenibles

Este trabajo presenta un proyecto de investigación y desarrollo que tiene como objetivo el fortalecimiento de las capacidades de gobernanza para ciudades inteligentes en América Latina y el Caribe (ALC) a través del desarrollo de cursos y programas de postgrado. El Proyecto es cofinanciado en el marco del Programa Erasmus+ de la Unión Europea, para la construcción de capacidades en la educación superior. En particular, el artículo describe los objetivos de investigación, actividades a desarrollar y entregables a producir.Eje: Ingeniería de Software.Red de Universidades con Carreras en Informátic

Fortalecimiento de las capacidades de gobernanza para ciudades inteligentes sostenibles

Este trabajo presenta un proyecto de investigación y desarrollo que tiene como objetivo el fortalecimiento de las capacidades de gobernanza para ciudades inteligentes en América Latina y el Caribe (ALC) a través del desarrollo de cursos y programas de postgrado. El Proyecto es cofinanciado en el marco del Programa Erasmus+ de la Unión Europea, para la construcción de capacidades en la educación superior. En particular, el artículo describe los objetivos de investigación, actividades a desarrollar y entregables a producir.Eje: Ingeniería de Software.Red de Universidades con Carreras en Informátic

Fortalecimiento de las capacidades de gobernanza para ciudades inteligentes sostenibles

Este trabajo presenta un proyecto de investigación y desarrollo que tiene como objetivo el fortalecimiento de las capacidades de gobernanza para ciudades inteligentes en América Latina y el Caribe (ALC) a través del desarrollo de cursos y programas de postgrado. El Proyecto es cofinanciado en el marco del Programa Erasmus+ de la Unión Europea, para la construcción de capacidades en la educación superior. En particular, el artículo describe los objetivos de investigación, actividades a desarrollar y entregables a producir.Eje: Ingeniería de Software.Red de Universidades con Carreras en Informátic

Huntingtin facilitates polycomb repressive complex 2

Huntington's disease (HD) is caused by expansion of the polymorphic polyglutamine segment in the huntingtin protein. Full-length huntingtin is thought to be a predominant HEAT repeat α-solenoid, implying a role as a facilitator of macromolecular complexes. Here we have investigated huntingtin's domain structure and potential intersection with epigenetic silencer polycomb repressive complex 2 (PRC2), suggested by shared embryonic deficiency phenotypes. Analysis of a set of full-length recombinant huntingtins, with different polyglutamine regions, demonstrated dramatic conformational flexibility, with an accessible hinge separating two large α-helical domains. Moreover, embryos lacking huntingtin exhibited impaired PRC2 regulation of Hox gene expression, trophoblast giant cell differentiation, paternal X chromosome inactivation and histone H3K27 tri-methylation, while full-length endogenous nuclear huntingtin in wild-type embryoid bodies (EBs) was associated with PRC2 subunits and was detected with trimethylated histone H3K27 at Hoxb9. Supporting a direct stimulatory role, full-length recombinant huntingtin significantly increased the histone H3K27 tri-methylase activity of reconstituted PRC2 in vitro, and structure–function analysis demonstrated that the polyglutamine region augmented full-length huntingtin PRC2 stimulation, both in HdhQ111 EBs and in vitro, with reconstituted PRC2. Knowledge of full-length huntingtin's α-helical organization and role as a facilitator of the multi-subunit PRC2 complex provides a novel starting point for studying PRC2 regulation, implicates this chromatin repressive complex in a neurodegenerative disorder and sets the stage for further study of huntingtin's molecular function and the impact of its modulatory polyglutamine region

IndiMaker - Open Data Linking Framework

Open data portals make a very important set of information available to the community. Those interested in a particular topic, retrieve data on the topic from different portals, but then, processing them together is difficult due to the different publication criteria used by each portal. To assist in this process, a tool called IndiMaker was developed, together with a framework that helps linking these files to users with little technical experience in data analysis. Within the framework, the tool allows applying different operations on the files, generating graphics in a dashboard, which makes information analysis easier. The framework was applied to the “environment” topic, in particular, to water and air quality and energy generation.XXVI Congreso Argentino de Ciencias de la Computación (CACIC) (Modalidad virtual, 5 al 9 de octubre de 2020)Instituto de Investigación en Informátic

The Structure of Genetic Diversity in Eelgrass (<i>Zostera marina</i> L.) along the North Pacific and Bering Sea Coasts of Alaska - Fig 3

<p><b>(A) Parsimony network of chloroplast <i>mat</i>K haplotypes from <i>Z</i>. <i>marina</i> and (B) a neighbor-joining tree illustrating relationships among Pacific coast populations of <i>Z</i>. <i>marina</i>.</b> (A) A parsimony network of chloroplast <i>mat</i>K haplotypes assayed from <i>Z</i>. <i>marina</i> from the EBS-LME (n = 29), GoA-LME (n = 45), CC-LME (n = 86), and GoC-LME (n = 21). Data are from populations listed in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152701#pone.0152701.s001" target="_blank">S1 Fig</a>, along with homologous data reported elsewhere [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152701#pone.0152701.ref062" target="_blank">62</a>,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152701#pone.0152701.ref096" target="_blank">96</a>] for samples collected from various locales within the CC-LME (GenBank accessions: <i>mat</i>K2—EF19834, AB125354, AB096164; <i>mat</i>K4—EF1983339, EF198342, AB125356, AB125355). Homologous data from <i>Z</i>. <i>marina</i> from the Northwest Pacific (Japan and Korea; n = 14, data from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152701#pone.0152701.ref016" target="_blank">16</a>,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152701#pone.0152701.ref062" target="_blank">62</a>]), the North Atlantic (Germany, n = 2, GenBank accessions: JN225374-75; Ukraine, n = 1, GenBank accession: JQ990925), and one sample each from <i>Z</i>. <i>japonica</i> (GenBank accession: AB125361), <i>Z</i>. <i>caulescens</i> (GenBank accession: AB125358), and <i>Z</i>. <i>asiatica</i> (GenBank accession: AB125360) are included for comparison. The size of the node corresponds to the frequency of each haplotype within each LME or region, and length of branch corresponds to number of changes, unless noted with diagonal slant bars. The small white diamond indicates an intermediate ancestral allele that was not sampled. (B) Neighbor-joining tree illustrating relationships among Pacific coast populations of <i>Z</i>. <i>marina</i>. D_CE distances were generated by data from 10 microsatellite loci. Bootstrap values (2000 replications) are listed at the node. Black, white, and gray circles identify populations belonging to the three discrete groupings (Model D) uncovered via AMOVA analyses to reflect significant and highest allelic variance at the regional level (see Results, in text, and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152701#pone.0152701.s005" target="_blank">S1 Table</a>).</p

Major prevailing ocean currents and passes in the Aleutian Islands, within the EBS- and GoA-LMEs.

<p>The EBS-LME is shown in blue; the GoA-LME is shown in green. Major currents are the Alaska Current (AC), Alaska Coastal Current (ACC), Alaska Stream (AS), Aleutian North Slope Current (ANSC), Bering Sea Current (BSC), and Kamchatka Current (KC). Gray areas in the water indicate trenches. Ocean current data are compiled, but not identical to, figures from Stabeno and Reed [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152701#pone.0152701.ref030" target="_blank">30</a>,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152701#pone.0152701.ref031" target="_blank">31</a>]. The base map was produced using ArcGIS version 10.2.2 [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152701#pone.0152701.ref032" target="_blank">32</a>].</p

Schematic showing direction of instances of significant deviation from symmetry in interpopulational gene flow, based on MIGRATE analyses.

<p>Blue asterisks (*) signify EBS-LME populations; orange asterisks (*) signify GoA-LME populations. Black arrows indicate symmetrical gene flow concordant with surface current flow; red arrows show asymmetrical gene flow that contrasts with surface current flow. The base map was produced using ArcGIS version 10.2.2 [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152701#pone.0152701.ref032" target="_blank">32</a>].</p