Lujo y primera necesidad: definición y evolución en España

La elemental referencia a la elasticidad renta de los diversos bienes y servicios, tradicional criterio para definir los viejos conceptos de bienes de lujo e inferiores (no propiamente los de primera necesidad), resulta insuficiente cuando la relación entre consumo y renta no mantiene una relación tan clara como exigiría dicho criterio . Se comprueba que la función y = (ax^b)*(e^cx) (donde x es el nivel de renta e y la proporción de la misma destinada a cada bien o servicio) permite una estimación altamente significativa de la evolución del consumo en función de la renta. El signo de los índices b y c de la función antedicha permite una primera aproximación convencional al carácter de los distintos bienes. Se sugiere el valor del coeficiente a como índice adecuado del grado de necesidad. Cuando la relación no es unívoca, el punto de inflexión resulta una información de gran importancia. La estimación de las funciones para los hogares españoles en los años 1973, 1980 y 1990 permite extraerlas correspondientes consecuencias y comparar la evolución de los conceptos analizados a lo largo de tan amplio y significativo período de tiempo. Se dedica una especial atención a las llamadas necesidades preferentes, educación, sanidad y, sobre todas, vivienda por el atípico perfil que presenta

Multiple Independent Retroelement Insertions in the Promoter of a Stress Response Gene Have Variable Molecular and Functional Effects in Drosophila

[Abstract] Promoters are structurally and functionally diverse gene regulatory regions. The presence or absence of sequence motifs and the spacing between the motifs defines the properties of promoters. Recent alternative promoter usage analyses in Drosophila melanogaster revealed that transposable elements significantly contribute to promote diversity. In this work, we analyzed in detail one of the transposable element insertions, named FBti0019985, that has been co-opted to drive expression of CG18446, a candidate stress response gene. We analyzed strains from different natural populations and we found that besides FBti0019985, there are another eight independent transposable elements inserted in the proximal promoter region of CG18446. All nine insertions are solo-LTRs that belong to the roo family. We analyzed the sequence of the nine roo insertions and we investigated whether the different insertions were functionally equivalent by performing 5’-RACE, gene expression, and cold-stress survival experiments. We found that different insertions have different molecular and functional consequences. The exact position where the transposable elements are inserted matters, as they all showed highly conserved sequences but only two of the analyzed insertions provided alternative transcription start sites, and only the FBti0019985 insertion consistently affects CG18446 expression. The phenotypic consequences of the different insertions also vary: only FBti0019985 was associated with cold-stress tolerance. Interestingly, the only previous report of transposable elements inserting repeatedly and independently in a promoter region in D. melanogaster, were also located upstream of a stress response gene. Our results suggest that functional validation of individual structural variants is needed to resolve the complexity of insertion clusters.[Author Summary] The presence of several transposable element insertions in the promoter region of a Drosophila melanogaster gene has only been described in heat shock protein genes. In this work, we have discovered and characterized in detail several naturally occurring independent transposable element insertions in the promoter region of a cold-stress response gene in the fruitfly Drosophila melanogaster. The nine transposable element insertions described are clustered in a small 368 bp region and all belong to the same family of transposable elements: the roo family. Each individual insertion is present at relatively low population frequencies, ranging from 1% to 17%. However, the majority of strains analyzed contain one of these nine roo insertions suggesting that this region might be evolving under positive selection. Although the sequence of these insertions is highly similar, their molecular and functional consequences are different. Only one of them, FBti0019985, is associated with increased viability in nonstress and in cold-stress conditions.This work was supported by the Ministerio de Economía y Competitividad (MINECO: http://www.idi.mineco.gob.es) BFU-2011-24397 and RYC-2010-07306 to JG, and BES-2012-052999 to AU, Ministerio de Economía y Competitividad and Fondo Europeo de Desarrollo Regional (MINECO/FEDER:http://www.idi.mineco.gob.es) BFU2014-57779-P, the European Commission (https://ec.europa.eu) FP7-PEOPLE-2011-CIG-293860, the Secretaria d’Universitats i Recerca del Departament d’Economia i Coneixement de la Generalitat de Catalunya (http://agaur.gencat.cat) 2014-SGR-201 to JG, and by the Agence Nationale de la Recherche (http://www.agence-nationale-recherche.fr) ANR-14-CE02-0003 to MARdC.USD 2250 APC fee funded by the EC FP7 Post-Grant Open Access PilotPeer reviewe

Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource

Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome data sets from natural populations of this species have been published over the last years. A major challenge is the integration of disparate data sets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution of this species. Here we address these issues by developing a bioinformatics pipeline that maps pooled sequencing (Pool-Seq) reads from D. melanogaster to a hologenome consisting of fly and symbiont genomes and estimates allele frequencies using either a heuristic (PoolSNP) or a probabilistic variant caller (SNAPE-pooled). We use this pipeline to generate the largest data repository of genomic data available for D. melanogaster to date, encompassing 271 previously published and unpublished population samples from over 100 locations in >20 countries on four continents. Several of these locations have been sampled at different seasons across multiple years. This data set, which we call Drosophila Evolution over Space and Time (DEST), is coupled with sampling and environmental metadata. A web-based genome browser and web portal provide easy access to the SNP data set. We further provide guidelines on how to use Pool-Seq data for model-based demographic inference. Our aim is to provide this scalable platform as a community resource which can be easily extended via future efforts for an even more extensive cosmopolitan data set. Our resource will enable population geneticists to analyze spatiotemporal genetic patterns and evolutionary dynamics of D. melanogaster populations in unprecedented detail.We thank four reviewers and the handling editor for helpful comments on previous versions of our manuscript. We are grateful to the members of the DrosEU and DrosRTEC consortia for their long-standing support, collaboration, and for discussion. DrosEU was funded by a Special Topic Networks (STN) grant from the European Society for Evolutionary Biology (ESEB). M.K. was supported by the Austrian Science Foundation (grant no. FWF P32275); J.G. by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (H2020-ERC-2014-CoG-647900) and by the Spanish Ministry of Science and Innovation (BFU-2011-24397); T.F. by the Swiss National Science Foundation (SNSF grants PP00P3_133641, PP00P3_165836, and 31003A_182262) and a Mercator Fellowship from the German Research Foundation (DFG), held as a EvoPAD Visiting Professor at the Institute for Evolution and Biodiversity, University of Münster; AOB by the National Institutes of Health (R35 GM119686); M.K. by Academy of Finland grant 322980; V.L. by Danish Natural Science Research Council (FNU) (grant no. 4002-00113B); FS Deutsche Forschungsgemeinschaft (DFG) (grant no. STA1154/4-1), Project 408908608; J.P. by the Deutsche Forschungsgemeinschaft Projects 274388701 and 347368302; A.U. by FPI fellowship (BES-2012-052999); ET Israel Science Foundation (ISF) (grant no. 1737/17); M.S.V., M.S.R. and M.J. by a grant from the Ministry of Education, Science and Technological Development of the Republic of Serbia (451-03-68/2020-14/200178); A.P., K.E. and M.T. by a grant from the Ministry of Education, Science and Technological Development of the Republic of Serbia (451-03-68/2020-14/200007); and TM NSERC grant RGPIN-2018-05551. The authors acknowledge Research Computing at The University of Virginia for providing computational resources and technical support that have contributed to the results reported within this publication (https://rc.virginia.edu, last accessed September 6, 2021)

Ciencia en Sociedad. Reflexiones en el marco de su relación bidireccional

Con autorización de la editorial para este libro. La edición de este libro estuvo a cargo de Jesús Rey Rocha y Víctor Ladero.Este libro surge como una iniciativa para compilar una serie de artículos alumbrados a partir de la génesis del Grupo CURIE (Científic@s Unid@s por la Reactivación de la Investigación en España), semilla de la Asociación Española para el Avance de la Ciencia (AEAC). Durante meses sus miembros estuvieron intercambiando reflexiones y debatiendo sobre la distancia entre la ciencia y la sociedad, y la necesidad de crear una asociación que llenase ese vacío entre los científicos y los ciudadanos, que apostase por llevar la ciencia y los conocimientos generados por la misma a toda la sociedad, tal y como establecen la Declaración de Derechos Humanos y la Constitución Española, en su artículo 44.Peer reviewe

Drosophila evolution over space and time (DEST):A new population genomics resource

Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome datasets from natural populations of this species have been published over the last years. A major challenge is the integration of disparate datasets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution of this species. Here we address these issues by developing a bioinformatics pipeline that maps pooled sequencing (Pool-Seq) reads from D. melanogaster to a hologenome consisting of fly and symbiont genomes and estimates allele frequencies using either a heuristic (PoolSNP) or a probabilistic variant caller (SNAPE-pooled). We use this pipeline to generate the largest data repository of genomic data available for D. melanogaster to date, encompassing 271 previously published and unpublished population samples from over 100 locations in > 20 countries on four continents. Several of these locations have been sampled at different seasons across multiple years. This dataset, which we call Drosophila Evolution over Space and Time (DEST), is coupled with sampling and environmental meta-data. A web-based genome browser and web portal provide easy access to the SNP dataset. We further provide guidelines on how to use Pool-Seq data for model-based demographic inference. Our aim is to provide this scalable platform as a community resource which can be easily extended via future efforts for an even more extensive cosmopolitan dataset. Our resource will enable population geneticists to analyze spatio-temporal genetic patterns and evolutionary dynamics of D. melanogaster populations in unprecedented detail.DrosEU is funded by a Special Topic Networks (STN) grant from the European Society for Evolutionary Biology (ESEB). MK (M. Kapun) was supported by the Austrian Science Foundation (grant no. FWF P32275); JG by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (H2020-ERC-2014-CoG-647900) and by the Spanish Ministry of Science and Innovation (BFU-2011-24397); TF by the Swiss National Science Foundation (SNSF grants PP00P3_133641, PP00P3_165836, and 31003A_182262) and a Mercator Fellowship from the German Research Foundation (DFG), held as a EvoPAD Visiting Professor at the Institute for Evolution and Biodiversity, University of Münster; AOB by the National Institutes of Health (R35 GM119686); MK (M. Kankare) by Academy of Finland grant 322980; VL by Danish Natural Science Research Council (FNU) grant 4002-00113B; FS Deutsche Forschungsgemeinschaft (DFG) grant STA1154/4-1, Project 408908608; JP by the Deutsche Forschungsgemeinschaft Projects 274388701 and 347368302; AU by FPI fellowship (BES-2012-052999); ET Israel Science Foundation (ISF) grant 1737/17; MSV, MSR and MJ by a grant from the Ministry of Education, Science and Technological Development of the Republic of Serbia (451-03-68/2020-14/200178); AP, KE and MT by a grant from the Ministry of Education, Science and Technological Development of the Republic of Serbia (451-03-68/2020-14/200007); and TM NSERC grant RGPIN-2018-05551.Peer reviewe

Corrigendum to: Drosophila Evolution over Space and Time (DEST): a New Population Genomics Resource

Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome datasets from natural populations of this species have been published over the last years. A major challenge is the integration of disparate datasets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution of this species. Here we address these issues by developing a bioinformatics pipeline that maps pooled sequencing (Pool-Seq) reads from D. melanogaster to a hologenome consisting of fly and symbiont genomes and estimates allele frequencies using either a heuristic (PoolSNP) or a probabilistic variant caller (SNAPE-pooled). We use this pipeline to generate the largest data repository of genomic data available for D. melanogaster to date, encompassing 271 previously published and unpublished population samples from over 100 locations in > 20 countries on four continents. Several of these locations have been sampled at different seasons across multiple years. This dataset, which we call Drosophila Evolution over Space and Time (DEST), is coupled with sampling and environmental meta-data. A web-based genome browser and web portal provide easy access to the SNP dataset. We further provide guidelines on how to use Pool-Seq data for model-based demographic inference. Our aim is to provide this scalable platform as a community resource which can be easily extended via future efforts for an even more extensive cosmopolitan dataset. Our resource will enable population geneticists to analyze spatio-temporal genetic patterns and evolutionary dynamics of D. melanogaster populations in unprecedented detail.DrosEU is funded by a Special Topic Networks (STN) grant from the European Society for Evolutionary Biology (ESEB). MK (M. Kapun) was supported by the Austrian Science Foundation (grant no. FWF P32275); JG by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (H2020-ERC-2014-CoG-647900) and by the Spanish Ministry of Science and Innovation (BFU-2011-24397); TF by the Swiss National Science Foundation (SNSF grants PP00P3_133641, PP00P3_165836, and 31003A_182262) and a Mercator Fellowship from the German Research Foundation (DFG), held as a EvoPAD Visiting Professor at the Institute for Evolution and Biodiversity, University of Münster; AOB by the National Institutes of Health (R35 GM119686); MK (M. Kankare) by Academy of Finland grant 322980; VL by Danish Natural Science Research Council (FNU) grant 4002-00113B; FS Deutsche Forschungsgemeinschaft (DFG) grant STA1154/4-1, Project 408908608; JP by the Deutsche Forschungsgemeinschaft Projects 274388701 and 347368302; AU by FPI fellowship (BES-2012-052999); ET Israel Science Foundation (ISF) grant 1737/17; MSV, MSR and MJ by a grant from the Ministry of Education, Science and Technological Development of the Republic of Serbia (451-03-68/2020-14/200178); AP, KE and MT by a grant from the Ministry of Education, Science and Technological Development of the Republic of Serbia (451-03-68/2020-14/200007); and TM NSERC grant RGPIN-2018-05551.Peer reviewe

Desafíos de la economía poscovid

El COVID-19 ha venido a trastocar muchas de las previsiones y de las convenciones dominantes hasta su llegada. En loa aspectos más relevantes no ha venido sino a poner en evidencia algunos problemas de carácter estructural que tenían nuestras economías desde hace años. Se analizan en primer lugar esos problemas previos y después los daños específicos COVID (a los que ha venido a sumarse la guerra en Ucrania). La tercera parte subraya como todos los datos anteriores obligan a repensar el futuro, revisando buena parte de los modelos dominantes hasta el presente. Por último, se defiende la necesidad de recuperar un nuevo contrato social que de una salida sostenible y justa a los problemas planteados

Transposable elements drive recent adaptation in Drosophila melanogaster

Trabajo presentado en el International Congres on Transposable Elements (ICTE 2016), celebrado en Saint Malo (Francia) del 16 al 19 de abril de 2016.Drosophila melanogaster is an excellent model organism to study adaptation to novel environments, as it has undergone a recent expansion from its origins in Africa to virtually the entire globe. A recent genome-wide screen surprisingly found signatures of adaptation in transposable element (TE) mutations, however, this study was based on a partial dataset of TEs that were sampled only in North American populations. In this work, we analyze all euchromatic TEs identified in three out-of-Africa populations: one North American (DGRP) and two European, Italian and Swedish. We identify 41 candidate adaptive TEs with significantly different frequencies within and outside of Africa, which doubles the number of candidate TEs for out-of-Africa adaptation compared to the previous study. 70.3% of these TEs showed signals of positive selection using the iHS statistic, and include the two TEs that have already been functionally validated. We find that most of these candidate TEs for out-of-Africa adaptation are inserted inside genes or at less than 1 kb distance, and we show that stress response and olfaction are over-represented in this set of genes. Our results highlight the important role of TEs in genome evolution, and shed light to the understanding of the phenotypes involved in adaptation to novel environments in natural populations.N

Besides <i>FBti0019985</i>, eight other <i>roo</i> solo-LTR are inserted in the proximal promoter of <i>CG18446</i>.

<p>Schematic representation of the genomic region where the nine <i>roo</i> solo-LTRs are inserted. <i>roo</i> insertions are depicted as red triangles. White boxes represent <i>CG18446</i> 5’-UTR. Regions depicted with dotted lines are not drawn to scale. Target Site Duplications (TSDs) are shown in blue. NC, allele frequency (%) in the North American population; IT, allele frequency (%) in the Italian population; SW, allele frequency (%) in the Swedish population; Out-AF total, allele frequency (%) in all the out-of-Africa populations; ZI, allele frequency (%) in the Zambia population.</p