Resultados de investigación

Environmental variation often induces plastic responses in organisms that can trigger changes in subsequent generations through non-genetic inheritance mechanisms. Such transgenerational plasticity thus consists of environmentally-induced non-random phenotypic modifications that are transmitted through generations. Transgenerational effects may vary according to the sex of the organism experiencing the environmental perturbation, the sex of their descendants, or both, but whether they are affected by past sexual selection is unknown. Here we use experimental evolution on an insect model system to conduct a first test of the involvement of sexual selection history in shaping transgenerational plasticity in the face of rapid environmental change (exposure to pesticides). We manipulated evolutionary history in terms of the intensity of sexual selection for over 80 generations before exposing individuals to the toxicant. We found that sexual selection history constrained adaptation under rapid environmental change. We also detected intergenerational and transgenerational effects of pesticide exposure in the form of increased fitness and longevity. These cross-generational influences of toxicants were sex-dependent (they affected only male descendants), and intergenerational, but not transgenerational, plasticity was modulated by sexual selection history. Our results highlight the complexity of intragenerational, intergenerational, and transgenerational influences of past selection and environmental stress on phenotypic expression., Ministerio de Ciencia e Innovación : PID2019-105547GB-I00; Ministerio de Ciencia e Innovación : FPU17/02623; Ministerio de Ciencia e Innovación : CGL2016-76173-P, Peer reviewed

[Aim] We investigated the relationship between thermal physiology, elevational distribution, and thermal stress among nine closely related dendrobatid frogs during their aquatic stage by employing an integrated approach, combining thermal physiology, environmental temperature modelling, and predictive assessments of current and future exposure to thermal variation., [Location] Ecuador, [Taxon] Amphibians; Anura, Dendrobatidae, Epipedobates, Hyloxalus, [Methods] We determined the Thermal Performance Curves of larval growth (TPCs) for each species and modelled the thermal variation in contrasting aquatic larval environments for both present and future times. This allowed us to estimate the expected elevational distributions and forecast periods of exposure to stressful temperatures that inhibit larval growth due to elevation and global warming., [Results] We found significant correlations between optimum temperature (Topt), 50 % maximum performance temperature (maxB50), 50% minimum performance temperature (minB50), and cold resistance (survival at 9 ºC) with the current elevational distributions. However, thermal physiology predicted lower than observed distributions for high-elevation dendrobatids and higher than observed maximum elevations for lowland species. Nonetheless, our models predicted that low thermal variability habitats (i.e. streams and deep permanent ponds) can buffer the future increase in temperatures for all taxa, even when considering the most extreme scenario. In contrast, all species within high thermal variation habitats (open forest temporary ponds) are expected to experience stressful temperatures under present conditions., [Main Conclusions] The findings indicate that thermal physiology may not be a limiting factor for dendrobatid frog species' ranges in this equatorial mountain gradient. Highland species may need to adapt to suboptimal performance, while some lowland species could occupy higher elevations. This study emphasizes the importance of habitat buffering to mitigate thermal stress in the face of climate change for amphibians in tropical mountains., Ministry of Economy, Industry and Competitiveness : CGL2012-40246-C02-01; Ministry of Economy, Industry and Competitiveness : SEV-69; Spanish Agency for International Development Cooperation : BOE-A-2015-12270; Marie Skłodowska-Curie Actions : MSCAH2020:897901; Spanish Agency for International Development Cooperation : AP/038788/11; Pontificia Universidad Católica del Ecuador : L13227, General Academic Board, Peer reviewed

1. Johannsen.dataset1.csv [line, class.seed.mother, mean.seed.progeny, stdev.seed.progeny, freq] This dataset includes results of experiments for each pure line showing the mean and standard deviation of seed weight, broken down by the weight class of the initial mother seeds ("Muttersamen", 1901 crop) (Johannsen 1903, p. 21-24, tables Linie A through Linie T). Detailed information on the variables to be found in the original source., 2. Johannsen.dataset2.csv [line, class.seed.progeny, freq] This dataset consists of the distribution of seeds among weight classes, separately for each pure line (Johannsen 1903, Uebersichtstabelle I, p. 25). Detailed information on the variables to be found in the original source., FocScales, PROMETEO-2021/040; EPINTER, PID2019-104365GB-I00, Peer reviewed

A study was undertaken between 1986-2023 were plant size and inflorescence production were monitored for the whole reproductive lifespans of N = 128 individuals of the Mediterranean woody shrub Lavandula latifolia (Lamiaceae) to address the following questions: Did individuals vary in lifetime trajectories of size and fecundity?, and Were parameters describing individual trajectories significant predictors of cumulative lifetime reproduction? The study site was in a mixed woodland of Pinus nigra and Quercus rotundifolia in the Sierra de Cazorla, Jaén province, southeastern Spain (site coordinates 37.9612ºN, 2.8847ºW). All plants were checked every summer (August-September) between 1987-2023. On each occasion, individuals found dead were digged up, collected, and their age at the time of death determined by ring counting. For each individual that remained alive, the number of inflorescences produced in the current year was counted and, on the even years, their size was assessed by measuring the two major axes of the canopy and then computing the area of the horizontal projection by assimilating the shape to an ellipse. The birth year of every monitored individual was determined by substracting the age at death from the year of death, and this information was then used to retrospectively compute the age of every plant in each study year. These data were then merged with those on yearly plant fecundity (number of inflorescences) and plant size measurements (estimated canopy area) to obtain individual lifetime profiles of size and fecundity in relation to current age., PID2022-141530NB-C22, DISTEPIC; PROMETEO-2021/040, FocScales, Peer reviewed

Data and code of the article titled " Pollinator asynchrony drives the temporal stability of flower visitation rates, but not of plant reproductive success" by Estefanía Tobajas, Virginia Domínguez-García, Francisco P. Molina and Ignasi Bartomeus, Peer reviewed

Phylogenetic data and code for the Poxyaibamberus descirption paper "Poxyaibamberus Andersen & Dantas gen. nov. (Diptera: Chironomidae, Orthocladiinae) from Brazil ", Peer reviewed

[ENG] The dataset is structured in a single Excel file comprising three sheets, each containing raw measurements of cumulative infiltration curves followed by gravity drainage. In every sheet, the first row labels the different infiltration curves, with time values (in seconds) recorded in Column A and corresponding cumulative infiltration data (in millimeters) in subsequent columns. Each infiltration curve represents a distinct material, differentiated by color-coded headers for clarity. The time column remains consistent across all curves, while the infiltration data columns (B, C, etc.) capture the different cumulative infiltration followed by drainage. The first sheet, labeled Hydrophobic Substrate, includes the infiltration curves measured in 1 cm and 2.5 cm thick columns filled with hydrophobic litter of Rosmarie (RS) and Pine. Each combination of substrate type (RS or Pine) and column thickness was tested in triplicate (three replications). The headers are color-coded to distinguish between different column geometries and substrate types. The second sheet, titled Hydrophobic Layer on Wettable Soil, contains cumulative infiltration curves measured in laboratory soil columns. Each column consisted of a 2 cm thick layer of hydrophobic Rosmarie (RS) or Pine litter placed atop a 5 cm thick layer of either sand or loam soil. Three replicates were performed for each hydrophobic-wettable layer combination. The headers of each infiltration curve are color-coded to distinguish between different column geometries and substrate types. The third sheet, Undisturbed cores, shows the cumulative infiltration curves measured in from undisturbed soil cores collected in forest soils. The first row of the sheet identifies each infiltration curve., [ESP] El conjunto de datos se estructura en un único archivo Excel compuesto por tres hojas, cada una de las cuales contiene las mediciones brutas de curvas de infiltración acumulada seguidas de drenaje por gravedad. En cada hoja, la primera fila etiqueta las diferentes curvas de infiltración, con valores de tiempo (en segundos) registrados en la columna A y los correspondientes datos de infiltración acumulada (en milímetros) en las columnas siguientes. Cada curva de infiltración representa un material distinto, diferenciado por cabeceras codificadas por colores. La columna de tiempo se mantiene constante en todas las curvas, mientras que las columnas de datos de infiltración (B, C, etc.) recogen las diferentes curvas de infiltración seguidas por drenaje por gravedad. La primera hoja, denominada Hydrophobic Substrate, incluye las curvas de infiltración medidas en columnas de 1 cm y 2,5 cm de grosor llenas con hojarasca hidrófoba de Romero (RS) y pino (Pine). Cada combinación de tipo de sustrato (RS o Pino) y grosor de columna se ensayó por triplicado (tres réplicas). Las cabeceras están codificadas por colores para distinguir entre las distintas geometrías de columna y tipos de sustrato. La segunda hoja, titulada Hydrophobic Layer on Wettable Soil, contiene curvas de infiltración acumulada medidas en columnas de laboratorio. Cada columna consiste en una capa de 2 cm de espesor de hojarasca hidrófoba de RS o Pine colocada sobre una capa de 5 cm de espesor de arena o suelo franco. Se realizaron tres repeticiones por combinación de capa hidrófoba y suelo humectable. Las cabeceras de cada curva de infiltración están codificadas por colores para distinguir entre las diferentes geometrías de columna y tipos de sustrato. La tercera hoja, Undisturbed cores, muestra las curvas de infiltración acumulada obtenidas a partir de núcleos de suelo inalterados recogidos en suelos forestales. La primera fila de la hoja identifica cada curva de infiltración., © The Author. This dataset is covered by a Creative Commons Licence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)., [ENG] This data includes a series of experimental infiltration curves followed by gravity drainage measured on laboratory columns consisting of different hydrophobic substrates and hydrophobic substrates placed on different wettable soils. Also included are infiltration curves followed by gravity drainage measured on undisturbed soil cores. The infiltration curves on hydrophobic substrates were measured in columns of 1 cm and 2.5 cm thickness filled with hydrophobic litter of Rosmarie (RS) and Pine (Pine). The infiltration curves followed by gravity drainage obtained in stratified hydrophobic-wettable cores were measured in columns consisted of a 2 cm thickness layer of RS or Pine placed on sand or loam soil. Finally, a set of 6 infiltration curves measured on undisturbed soil cores., [ESP] Estos datos incluyen una serie de curvas experimentales de infiltración seguidas de drenaje por gravedad obtenidas sobre columnas de laboratorio formadas por diferentes sustratos hidrófobos y sustratos hidrófobos dispuestos sobre diferentes suelos mojables. También se incluyen curvas de infiltración seguidas de drenaje por gravedad medidas en testigos de suelo inalterados. Las curvas de infiltración en sustratos hidrófobos se midieron en columnas de suelo compuestas por capas de 1 cm y 2,5 cm de hojarasca hidrófoba de Rosmarie (RS) y Pino (Pine). Las curvas de infiltración seguidas de drenaje por gravedad obtenidas en testigos estratificados con material hidrófobo-humectable se midieron en columnas formadas por una capa de 2 cm de espesor de RS o Pino dispuestas sobre arena o suelo franco. Por último, también se incluye un conjunto de 6 curvas de infiltración medidas en testigos de suelo inalterados tomados de suelos forestales., Project RENURSE (TED2021-132406B-I00), funded by Ministerio de Ciencia e Innovación. Projects BEEP (BF047) y BIOPIRINEO (BF160) funded by Ministerio para la Transición Ecológica y el Reto Demográfico., Peer reviewed

Data associated with manuscript Udino et al. Prenatal acoustic signals influence nestling heat-shock protein response to heat and heterophil-to-lymphocyte ratio in a desert bird, Peer reviewed

Files containing data on the characterization of the synthesized materials, including nitrogen isotherms, mercury intrusion porosimetry, and density measurements., Peer reviewed

If you download all files into a directory on your system and open the .Rmd file in Rstudio, you can knit to execute the code and regenerate all figures from the raw data files (also included), This is a summary of the workflow for carrying out diversity and structure analysis from Lucena-Perez et al. 2023. The starting point are bam files of Lynx pardinus and Lynx lynx data mapped to the Lynx pardinus genome. The following analyses are documented here: Generation of a PCA; Admixture analysis; Genomic diversity analysis, Peer reviewed