Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
146
datasets available to search
ShareScore release 0.9.0
Dataset results
146 results for “evolutionary potential”
Data from: Evolutionary potential and constraints in an aposematic species: Genetic correlations between warning coloration and fitness components in wood tiger moths
<p>Phenotypic data and pedigrees of two laboratory populations of wood tiger moths (<em>Arctia plantaginis</em>) of Finnish (=FIN) and Estonian (=EST) ancestry.</p> <p><strong>Pedigree: </strong><br>ID: individual identifier<br>sire = Father<br>dam=mother</p> <p><strong>Pheno.data: </strong><br>ID: individual identifier<br>Sex: 1=male; 2=female<br>hatchingdate: date when larva hatched<br>pupadate: date of pupation<br>adultdate: date of exclusion<br>Pupa.Weight: weight of pupa [mg]<br>Female.Colour = hindwing colour of females. In this species hindwing colour in females varies continuously from yellow to red. It was quantified by visual matching of hinwdings against a colour scale ranging from 1 = yellow to 6 = red. <br>Signal.Size = larva signal size. Larvae show an orange patch of variable size on the back of their black body. The size is given as number of segments<br>Egg.N = egg number produced by the individual<br>Off.N = offspring number. Larvae were counted 2-3 weeks after egg laying</p> <p> </p>
Functional potential and evolutionary response to long-term heat selection of bacterial associates of coral photosymbionts
<p>Sequencing reads were assembled using the genome assembler pipeline Shovill v1.1.0. Briefly, the Shovill pipeline included read trimming using Trimmomatic v0.39, de novo assembly with SPAdes v3.15.5 and genome polishing with Pilon v1.24. After the pipeline, additional polishing was performed by mapping the reads back to the contigs with BWA v0.7.17 and sorting the resulting SAM/BAM files using SAMtools v1.15.1. Pilon v1.24 was then used to correct bases, fix mis-assemblies and fill gaps. The reformat.sh script from the Bbmap package v38.76 (-minlength=1000) was used to filter out contigs less than 1000bp. The draft genome assemblies were then annotated with Bakta v1.7.0. </p> <p>Single nucleotide polymorphism (SNP) detection between WT (WTref) and SS (SSref) samples were then performed using snippy v4.6.0, where both WT and SS samples were inputted as the reference genome in turn.</p> <p>A subset of the snippy output files are uploaded here and contain all variants found.</p>
Introduced populations of ragweed show as much evolutionary potential as native populations
<p>Invasive species are a global economic and ecological problem. They also offer an opportunity to understand evolutionary processes in a colonizing context. The impacts of evolutionary factors, such as genetic variation, on the invasion process are increasingly appreciated, but there remain gaps in the empirical literature. The adaptive potential of populations can be quantified using genetic variance–covariance matrices <strong>(G)</strong>, which encapsulate the heritable genetic variance in a population. Here, we use a multivariate Bayesian approach to assess the adaptive potential of invasive populations of ragweed (<em>Ambrosia artemisiifolia</em>), a serious allergen and agricultural weed. We compared several aspects of genetic architecture and the structure of <strong>G</strong> matrices between three native and three introduced populations, based on phenotypic data collected in a field common garden experiment. We found moderate differences in the quantitative genetic architecture among populations, but we did not find that introduced populations suffer from a limited adaptive potential or increased genetic constraint compared with native populations. Ragweed has an annual life history, is an obligate outcrosser, and produces very large numbers of seeds and pollen grains. These characteristics, combined with the significant additive genetic variance documented here, suggest ragweed will be able to respond quickly to selection pressures in both its native and introduced ranges.</p>
Evolutionary potential under heat and drought stress at the southern range edge of North American Arabidopsis lyrata
<p>The warm edges of species' distributions are vulnerable to global warming. Evidence is the recent range retraction from there found in many species. It is unclear why populations cannot easily adapt to warmer, drier, or combined hot and dry conditions and locally persist. Here, we assessed the ability to adapt to these stressors in the temperate species <em>Arabidopsis lyrata</em>. We grew plants from replicate seed families of a central population with high genetic diversity under a temperature and precipitation regime typical of the low-latitude margin or under hotter and/or drier conditions within naturally occurring amplitudes. We then calculated genetic variance-covariance (G-) matrices of traits depicting growth and allocation as well as selection vectors to compare the predicted adaptation potential under the different climate-stress regimes. We found that the sum of genetic variances and genetic correlations were not significantly different under stress as compared to benign conditions. However, under drought and heat drought, the predicted ability to adapt was severely constrained due to strong selection and selection pointing in a direction with less multivariate genetic variation. The much-reduced ability to adapt to dry and hot-dry conditions is likely to reduce the persistence of populations at the low-latitude margin of the species' distribution and contribute to the local extinction of the species under further warming.</p>
Data from: The more you get, the more you give: Positive cascading effects shape the evolutionary potential of prenatal maternal investment
<p>Data from 'The more you get, the more you give: Positive cascading effects shape the evolutionary potential of prenatal maternal investment'</p> <p> </p> <p>Description of variables in CME_dat.csv</p> <p>egg.mass - mean offspring egg mass (grams)</p> <p>maternal.line - selection line of mother (H- high investment, L - low investment)</p> <p>paternal.line - selection lines of father (H- high investment, L - low investment)</p> <p>replicate - selection line replicate</p> <p>animal - animal id (links with data from Pick et al. 2016 on dryad)</p> <p>mother - mother id</p> <p>father - father id</p> <p>maternal.egg.mass - mean maternal egg mass (grams)</p>
Fig. 2 in Untapped potential: The utility of drylands for testing eco-evolutionary relationships between hosts and parasites
Fig. 2. Worldwide endemic and imported cases of (A) cutaneous leishmaniasis (CL) and (B) viceral leishmaniasis (VL) as of 2018. Warmer colors indicate a higher number of cases reported that year. Source: World Health Organization (2019).
Spatial variation in the evolutionary potential and constraints of basal metabolic rate and body mass in a wild bird
<p><span>Organismal energy budget is strongly related to resource consumption, performance, and fitness. Hence, understanding the evolution of key energetic traits, such as basal metabolic rate (BMR), in natural populations is central for understanding life-history evolution and ecological processes. Here we used quantitative genetic analyses to study evolutionary potential of BMR in two insular populations of the house sparrow <em>(Passer domesticus</em>). We obtained measurements of BMR and body mass (M<sub>b</sub>) from 911 house sparrows on the islands of Leka and Vega along the coast of Norway</span><span>.</span><span> These two populations were the source populations for translocations to create an additional third, admixed "common garden" population in 2012. With the use of a novel genetic group animal model concomitant with a genetically determined pedigree, we differentiate genetic and environmental sources of variation, thereby providing insight into the effects of spatial population structure on evolutionary potential. We found that the evolutionary potential of BMR was similar in the two source populations, whereas the Vega population had a somewhat higher evolutionary potential of M<sub>b</sub> than the Leka population. BMR was genetically correlated with M<sub>b</sub> in both populations, and the conditional evolutionary potential of BMR (independent of body mass) was 41% (Leka) and 53% (Vega) lower than unconditional estimates. Overall, our results show that there is potential for BMR to evolve independently of M<sub>b</sub>, but that selection on BMR and/or M<sub>b</sub> may have different evolutionary consequences in different populations of the same species.</span></p>
Evolutionary potential under heat and drought stress at the southern range edge of North American Arabidopsis lyrata
Open the record for dataset details and reuse information.
Data from: Testing the evolutionary potential of an alpine plant: Phenotypic plasticity in response to growth temperature outweighs parental environmental effects and other genetic causes of variation
Open the record for dataset details and reuse information.
Data from: The potential for evolutionary rescue in an arctic seashore plant threatened by climate change
Open the record for dataset details and reuse information.
Spatial variation in the evolutionary potential and constraints of basal metabolic rate and body mass in a wild bird
Open the record for dataset details and reuse information.
Introduced populations of ragweed show as much evolutionary potential as native populations
Open the record for dataset details and reuse information.
A decision-making framework to maximize the evolutionary potential of populations: Genetic and genomic insights from the common midwife toad (Alytes obstetricans) at its range limits
Open the record for dataset details and reuse information.
Gas exchange, dieback, leaf water potential and chlorophyll content during a greenhouse drought experiment: An evolutionary perspective on functional diversity in co-occuring willow(salix) species
Thirteen willow (Salix) species occur in southeastern Minnesota and often co-occur within the same wetlands. This high local diversity is challenging to explain since closely related species are often functionally similar and density-dependent interactions such as competition and susceptibility to pests and pathogens should limit their co-occurrence. However, if willow species are partitioning resources, or if they are phylogenetically structured so that closely related species rarely co-occur, then the impact of these density-dependent processes could be reduced. In this study, I examined the role of niche partitioning in maintaining local willow diversity by comparing species physiology in a greenhouse.
Data from: Genomic characterization of the evolutionary potential of the sea urchin Strongylocentrotus droebachiensis facing ocean acidification
Ocean acidification (OA) is increasing due to anthropogenic CO2 emissions and poses a threat to marine species and communities worldwide. To better project the effects of acidification on organisms' health and persistence, an understanding is needed of the 1) mechanisms underlying developmental and physiological tolerance and 2) potential populations have for rapid evolutionary adaptation. This is especially challenging in nonmodel species where targeted assays of metabolism and stress physiology may not be available or economical for large-scale assessments of genetic constraints. We used mRNA sequencing and a quantitative genetics breeding design to study mechanisms underlying genetic variability and tolerance to decreased seawater pH (-0.4 pH units) in larvae of the sea urchin Strongylocentrotus droebachiensis. We used a gene ontology-based approach to integrate expression profiles into indirect measures of cellular and biochemical traits underlying variation in larval performance (i.e., growth rates). Molecular responses to OA were complex, involving changes to several functions such as growth rates, cell division, metabolism, and immune activities. Surprisingly, the magnitude of pH effects on molecular traits tended to be small relative to variation attributable to segregating functional genetic variation in this species. We discuss how the application of transcriptomics and quantitative genetics approaches across diverse species can enrich our understanding of the biological impacts of climate change.
Low but significant evolutionary potential for growth, phenology and reproduction traits in European beech
<p>Local survival of forest tree populations under climate change depends on existing genetic variation and their adaptability to changing environments. Responses to selection were studied in European beech (<em>Fagus sylvatica</em>) under field conditions. A total of 1,087 adult trees, seeds, one-year-old seedlings, and established multiyear saplings were genotyped with 16 nuSSRs. Adult trees were assessed for phenotypic traits related to growth, phenology and reproduction. Parentage and paternity analyses were used to estimate effective female and male fecundity as a proxy of fitness and showed that few parents contributed to successful regeneration. Selection gradients were estimated from the relationship between traits and fecundity, while heritability and evolvability were estimated using mixed models and the breeder's equation. Larger trees bearing more fruit and early male flowering had higher total fecundity, while trees with longer growth season had lower total fecundity (directional selection). Stabilising selection on spring phenology was found for female fecundity, highlighting the role of late frosts as a selection driver. Selection gradients for other traits varied between measurement years and the offspring cohort used to estimate parental fecundity. Compared to other studies in natural populations, we found low to moderate heritability and evolvability for most traits. Response to selection was higher for growth than for budburst, leaf senescence or reproduction traits, reflecting more consistent selection gradients across years and sex functions, and higher phenotypic variability in the population. Our study provides empirical evidence suggesting that populations of long-lived organisms such as forest trees can adapt locally, even at short-time scales.</p>
Evolutionary consequences of pesticide exposure include transgenerational plasticity and potential terminal investment transgenerational effects
<p>Transgenerational plasticity, the influence of the environment experienced by parents on the phenotype and fitness of subsequent generations, is being increasingly recognised. Human-altered environments, such as those resulting from the increasing use of pesticides, may be major drivers of such cross-generational influences, which in turn may have profound evolutionary and ecological repercussions. Most of these consequences are, however, unknown. Whether transgenerational plasticity elicited by pesticide exposure is common, and the consequences of its potential carry-over effects on fitness and population dynamics remains to be determined. Here we investigate whether exposure of parents to a common pesticide elicits intra-, inter- and transgenerational responses (in F0, F1 and F2 generations) in life-history (fecundity, longevity, and lifetime reproductive success-LRS-), in an insect model system, the seed beetle <em>Callosobruchus</em> <em>maculatus</em>. We also assessed sex-specificity of the effects. We found sex-specific and hormetic intergenerational and transgenerational effects on longevity and lifetime reproductive success, manifested both in the form of maternal and paternal effects. In addition, the transgenerational effects via mothers detected in this study are consistent with a new concept: terminal investment transgenerational effects. Such effects could underlie cross-generational responses to environmental perturbation. Our results indicate that pesticide exposure leads to unanticipated effects on population dynamics and have far-reaching ecological and evolutionary implications.</p>
Clinal variation in quantitative traits but not in evolutionary potential along elevational and latitudinal gradients in the widespread Anthyllis vulneraria
<p><strong>Premise of the study</strong></p> <p>Strong elevational and latitudinal gradients allow the study of genetic differentiation in response to similar environmental changes. However, it is uncertain whether the environmental changes along the two types of gradients result in similar genetically based changes in quantitative traits. Peripheral arctic and alpine populations are thought to have a lower evolutionary potential than more central ones. </p> <p><strong>Methods </strong></p> <p>We studied quantitative traits of the widespread <em>Anthyllis vulneraria</em> in a common garden. Plants originated from 20 populations along a 2000 m elevational gradient from the lowlands to the elevational limit of the species in the Alps, and from 20 populations along a 2400 km latitudinal gradient from the centre of the distribution of the species in Central Europe to its northern distributional margin.</p> <p><strong>Key results</strong></p> <p>Several traits showed similar clinal variation with elevation and latitude of origin. Higher Q<sub>ST</sub>-values than F<sub>ST</sub>-values in some traits indicated divergent selection. The same traits were subject to strongly diversifying selection among populations (high Q<sub>ST</sub>) and strong stabilising selection within populations (low evolvability). Genetic diversity of most quantitative traits and neutral molecular markers was only weakly correlated. Plasticity in response to benign conditions declined with both increasing elevation and latitude of origin, but the evolvability of most traits did not.</p> <p><strong>Conclusions </strong></p> <p>The clinal variation suggests adaptive differentiation of quantitative traits along the two gradients. Our results indicate that the evolutionary potential of peripheral populations is not necessarily reduced. However, lower plasticity may threaten their survival under rapidly changing climatic conditions.</p>
Lifespan and fecundity data for: The evolutionary potential of diet-dependent effects on lifespan and fecundity in a multi-parental population of Drosophila melanogaster
<p>This repository contains 3 original data files for a study of heritability in a half-sibling design of outbred multi-parent population of Drosophila melanogaster treated with 3 nutritional conditions.</p> <p> </p> <p>1) lifespan_only.xlsx contains lifespan records.</p> <p>Columns:</p> <p>setDate, start date</p> <p>flipDate, observation date</p> <p>days, age</p> <p>fID, identity of line</p> <p>repl, replicate number</p> <p>treat, diet treatment (HS=high sugar, STD=standard, LY=low yeast)</p> <p>NstartF, starting number of females</p> <p>NstartM, starting number of males</p> <p>box, ccord, rcoord are position coordinates of a vial in a holding box</p> <p>deadF, number of female dead</p> <p>deadM, number of males dead</p> <p>cens, censored events</p> <p>carriedF, dead females that flip to a new food vial</p> <p>carriedM, dead males that flip to a new food vial</p> <p>flipper initials of observer</p> <p>time, time in which 108 vials were flipped.</p> <p> </p> <p>2) feclife_with-image-ids.xlsx - lifespan observation vials are matched with a specific image of eggs collected at a specific day (once a week).</p> <p>Columns:</p> <p>cameraid, image id assigned by the camera</p> <p>handcounted, images counted by hand</p> <p>handcount, number of eggs on an image counted by hand</p> <p>training_set, images that were used to develop and test a prediction model</p> <p>drop_from_lifespan & visually_recheck, quality control.</p> <p> </p> <p>3) egg_images.tgz - all original images. Each image represent fecundity from a single vial at a specific date (in feclife_with-image-ids.xlsx ). The images have been cropped to remove the excess area outside the egg disc. The area outside the circular disc has been converted to black to peripheral eliminate noise.</p>
Evolutionary divergence of potential drought adaptations between two subspecies of an annual plant: Are trait combinations facilitated, independent, or constrained?
<p><b><span>Premise</span></b><span>: Whether drought-adaptation mechanisms tend to evolve together, evolve independently, and/or evolve constrained by genetic architecture is incompletely resolved, particularly for water relations traits besides gas exchange. We addressed this issue in two subspecies of </span><i>Clarkia xantiana</i><span> (Onagraceae), California winter annuals that separated approximately 65,000 years ago and are adapted, partly by differences in flowering time, to native ranges differing in precipitation.</span></p> <p><b><span>Methods: </span></b><span>In these subspecies and in recombinant inbred lines (RILs) from a cross between them we scored traits related to drought adaptation (timing of seed germination and of flowering; succulence; pressure-volume curve parameters) in common environments.</span></p> <p><b><span>Results: </span></b><span>The subspecies native to more arid environments (<i>parviflora</i>) exhibited slower seed germination in saturated conditions, earlier flowering, and greater succulence, likely indicating superior drought avoidance, drought escape, and dehydration resistance via water storage, respectively. The other subspecies (<i>xantiana</i>) had lower osmotic potential at full turgor and lower water potential at turgor loss, implying superior dehydration tolerance. Genetic correlations among RILs suggest facilitated evolution of some trait combinations and independence of others. Where genetic correlations exist, subspecies differences fell along them, with the exception of differences in succulence and turgor loss point. In that case, subspecies difference overcame genetic correlations, possibly reflecting strong selection and/or antagonistic genetic correlations with other traits. </span></p> <p><b><span>Conclusions:</span></b><span> <i>Clarkia xantiana </i>subspecies' differ in multiple mechanisms of drought adaptation. Genetic architecture generally does not seem to have constrained the evolution of these mechanisms, and it may have facilitated the evolution of some of trait combinations. </span></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.