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309 results for “phenotypic variation”
Data for the Manuscript 'Phenotypic Variation from Waterlogging in Multiple Perennial Ryegrass Varieties under Climate Change Conditions'
<p>Experimental data supporting the findings of the manuscript 'Phenotypic Variation from Waterlogging in Multiple Perennial Ryegrass Varieties under Climate Change Conditions'. This dataset will be made publicly available when the manuscript has been accepted for journal publication unless exceptional conditions become apparent. </p>
Phenotype variation in Niphargus (Amphipoda: Niphargidae): possible explanations and open challenges: data and R code
<p>Data and R code for performing the analyses of phylogenetic signal presented in the manuscript titled "Phenotype variation in Niphargus (Amphipoda: Niphargidae): possible explanations and open challenges. Data contains phylogenetic tree (Delić et al., 2023) and functional trait data in the RDS format (Premate & Fišer, 2024). The R code is available in the html format.</p> <p>References/data sources:</p> <p>Delić, T., Borko, S., Premate, E., Rexhepi, B., Alther, R., Knuesel, M., ... & Altermatt, F. (2023). Evolutionary origin of morphologically cryptic species imprints co-occurrence and sympatry patterns. <em>bioRxiv</em>, 2023-09.</p> <p>Premate, E., & Fišer, C. (2024). Functional trait dataset of European groundwater Amphipoda: Niphargidae and Typhlogammaridae. <em>Scientific Data</em>, <em>11</em>(1), 188.</p>
Figures 9–17 in Geographical distribution and phenotypic variation of Anovia punica Gordon (Coleoptera: Coccinellidae: Noviini), a predatory ladybeetle of fluted scales (Hemiptera: Coccoidea: Monophlebidae)
Figures 9–17. Male genitalia of Anovia punica. Peru: 9–11) San Martin State. Colombia: 12–14) San Andres Island. 15–17) Magdalena State. 9), 12), 15) Tegmen in ventral view. 10), 13), 16) Tegmen in lateral view. 11), 14), 17) Sipho.
Figures 1–8 in Geographical distribution and phenotypic variation of Anovia punica Gordon (Coleoptera: Coccinellidae: Noviini), a predatory ladybeetle of fluted scales (Hemiptera: Coccoidea: Monophlebidae)
Figures 1–8. Morphological variation of Anovia punica. Peru. 1–2) San Martín State. Colombia: 3) San Andres Island. 4) Magdalena State. 5) Valle del Cauca State. 6–7) Antioquia State. 8) Atlantico State.
Data and Code for Publication "Inferring human neutral genetic variation from craniodental phenotypes"
<p>Data and code for publication: H. Rathmann et al., Inferring human neutral genetic variation from craniodental phenotypes. PNAS Nexus.</p> <p>The repository contains:</p> <ul> <li>“<em>R code for DP-DG analysis.txt</em>”: R code for testing levels of neutral evolutionary signals preserved in five craniodental data types: cranial metrics, dental metrics, cranial non-metric traits, dental non-metric traits, and craniodental metrics and non-metric traits combined.</li> </ul> <ul> <li>“<em>Cranial metric data.csv</em>”: Dataset consisting of 37 cranial metric variables for 26 worldwide modern populations, provided in a comma-separated values file format. The data were collected by T. Hanihara and originally presented in the publication titled: T. Hanihara, Comparison of craniofacial features of major human groups. <em>Am. J. Phys. Anthropol.</em> 99, 389–412 (1996) (<a href="https://doi.org/10.1002/(SICI)1096-8644(199603)99:3%3c389::AID-AJPA3%3e3.0.CO;2-S">https://doi.org/10.1002/(SICI)1096-8644(199603)99:3<389::AID-AJPA3>3.0.CO;2-S</a>).</li> </ul> <ul> <li>“<em>Dental metric data.csv</em>”: Dataset comprising 28 dental metric variables for 26 worldwide modern populations, provided in a comma-separated values file format. The data were collected by T. Hanihara and originally presented in the publication titled: T. Hanihara, H. Ishida, Metric dental variation of major human populations. <em>Am. J. Phys. Anthropol.</em> 128, 287–298 (2005) (<a href="https://doi.org/10.1002/ajpa.20080">https://doi.org/10.1002/ajpa.20080</a>).</li> </ul> <ul> <li>“<em>Cranial non-metric trait data.csv</em>”: Dataset consisting of 24 cranial non-metric trait variables for 26 worldwide modern populations, provided in a comma-separated values file format. The data were collected for the most part by T. Hanihara and presented in the publication titled: T. Hanihara, H. Ishida, Y. Dodo, Characterization of biological diversity through analysis of discrete cranial traits. <em>Am. J. Phys. Anthropol.</em> 121, 241–251 (2003) (<a href="https://doi.org/10.1002/ajpa.10233">https://doi.org/10.1002/ajpa.10233</a>).</li> </ul> <ul> <li>“<em>Dental non-metric trait data.csv</em>”: Dataset comprising 25 dental non-metric trait variables for 26 worldwide modern populations, provided in a comma-separated values file format. The data were collected by C. G. Turner II, G. R. Scott, and J. D. Irish. This individual-level dataset was artificially created from population-level trait frequency information presented in the publications: G. R. Scott, J. D. Irish, <em>Human Tooth Crown and Root Morphology </em>(Cambridge University Press, 2017) (<a href="https://doi.org/10.1017/9781316156629">https://doi.org/10.1017/9781316156629</a>); and: J. D. Irish, A. Morez, L. Girdland Flink, E. L. W. Phillips, G. R. Scott, Do dental nonmetric traits actually work as proxies for neutral genomic data? Some answers from continental- and global-level analyses. <em>Am. J. Phys. Anthropol. </em>172, 347–375 (2020) (<a href="https://doi.org/10.1002/ajpa.24052">https://doi.org/10.1002/ajpa.24052</a>).</li> </ul> <ul> <li>“<em>SNP data.txt</em>”: Dataset comprising 8,821 SNP markers for 26 worldwide modern populations, provided in a genepop file format. The data were obtained from various published sources: I. Lazaridis et al., Ancient human genomes suggest three ancestral populations for present-day Europeans. <em>Nature </em>513, 409–413 (2014) (<a href="https://doi.org/10.1038/nature13673">https://doi.org/10.1038/nature13673</a>); P. Qin, M. Stoneking, Denisovan ancestry in east Eurasian and native American populations. <em>Mol. Biol. Evol. </em>32, 2665–2674 (2015) (<a href="https://doi.org/10.1093/molbev/msv141">https://doi.org/10.1093/molbev/msv141</a>); P. Skoglund et al., Genomic insights into the peopling of the Southwest Pacific. <em>Nature </em>538, 510–513 (2016) (<a href="https://doi.org/10.1038/nature19844">https://doi.org/10.1038/nature19844</a>); M. R. Nelson et al., The Population Reference Sample, POPRES: a resource for population, disease, and pharmacological genetics research. <em>Am. J. Hum. Genet. </em>83, 347–358 (2008) (<a href="https://doi.org/10.1016/j.ajhg.2008.08.005">https://doi.org/10.1016/j.ajhg.2008.08.005</a>); J. K. Pickrell, J. K. Pritchard, Inference of population splits and mixtures from genome-wide allele frequency data. <em>PLoS Genet. </em>8, e1002967 (2012) (<a href="https://doi.org/10.1371/journal.pgen.1002967">https://doi.org/10.1371/journal.pgen.1002967</a>); A. Bergström et al., Insights into human genetic variation and population history from 929 diverse genomes. <em>Science </em>367 (2020) (<a href="https://doi.org/10.1126/science.aay5012">https://doi.org/10.1126/science.aay5012</a>); B. M. Henn et al., Genomic ancestry of North Africans supports back-to-Africa migrations. <em>PLoS Genet. </em>8, e1002397 (2012) (<a href="https://doi.org/10.1371/journal.pgen.1002397">https://doi.org/10.1371/journal.pgen.1002397</a>); S. Mallick et al., The Simons Genome Diversity Project: 300 genomes from 142 diverse populations. <em>Nature </em>538, 201–206 (2016) (<a href="https://doi.org/10.1038/nature18964">https://doi.org/10.1038/nature18964</a>); Lao et al., Correlation between genetic and geographic structure in Europe. <em>Curr. Biol. </em>18, 1241–1248 (2008) (<a href="https://doi.org/10.1016/j.cub.2008.07.049">https://doi.org/10.1016/j.cub.2008.07.049</a>); and M. Lipson et al., Population Turnover in Remote Oceania Shortly after Initial Settlement. <em>Curr. Biol. </em>28, 1157-1165.e7 (2018) (<a href="https://doi.org/10.1016/j.cub.2018.02.051">https://doi.org/10.1016/j.cub.2018.02.051</a>).</li> </ul> <p>For population and variable names and abbreviations, see Supplementary Information in: H. Rathmann et al., Inferring human neutral genetic variation from craniodental phenotypes. PNAS Nexus.</p>
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
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Batrachochytrium salamandrivorans thermal phenotypic variation
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Data From: Evaluating the correlation between genome-wide diversity and the release of plastic phenotypic variation in experimental translocations to novel natural environments
<p>Phenotypic reaction norms are often shaped and constrained by selection and are important for allowing organisms to respond to environmental change. However, selection cannot constrain reaction norms for environmental conditions that populations have not experienced. This may allow cryptic neutral genetic variation for the reaction norm to accumulate such that a release of phenotypic variation occurs when it is exposed to novel conditions. Most genomic diversity behaves as if functionally neutral. Genome-wide diversity metrics may therefore correlate with levels of cryptic genetic variation and, as a result, could exhibit a positive relationship with a release of phenotypic variation in novel environments. To test this hypothesis, we conducted translocations of juvenile brook trout (Salvelinus fontinalis) from 12 populations to novel uninhabited ponds that represented a gradient of environmental conditions. We assessed reaction norms for morphological traits (body size and four morphometric relative warps) across pond environmental gradients and evaluated the effect of genome-wide heterozygosity on phenotypic variability. All traits displayed plastic reaction norms. Overall, we found some evidence that a release of phenotypic variation consistent with cryptic genetic variation can occur in novel environmental conditions. However, the extent to which this release was correlated with average genome-wide diversity was limited to only one of five morphological traits examined. Our results suggest that the link between genomic diversity and the accumulation of cryptic genetic variation in reaction norms may be limited. Similarly, reaction norms were constrained for many of the morphological traits examined. Past conditions may have constrained reaction norms in the putatively novel environments despite significant deviations from contemporary source population habitat. Additionally, as a generalist colonizing species brook trout may exhibit plastic phenotypes across a wide range of environmental conditions.</p>
Genetic and phenotypic variation in Bathygobius cocosensis from East Australia (2014–2016)
<p>Genetic and phenotypic data from an East Australian metapopulation of the intertidal goby, <em>Bathygobius cocosensis </em>(Bleeker 1854). Data was collected over three years (2014–2016) from juveniles and adult subpopulations at three sites: Point Cartwright, Hastings Point and Shellharbour. Genetic variation was characterised using genome-wide SNPs, obtained through pooled ezRAD sequencing. Phenotypic variation was characterised using geometric morphometric analysis of head shape morphology. The analyses contained in this repository are for a manuscript submitted to <em>Molecular Ecology</em>.</p>
Data from: Phenotype-environment matching predicts both positive and negative effects of intraspecific variation
Natural populations can vary considerably in their genotypic and/or phenotypic diversity. Differences in this intraspecific diversity can have important consequences for contemporary ecological dynamics, but the direction and magnitude of these effects appear inconsistent across studies and systems. Here we proposed and tested the hypothesis that context-dependent ecological effects of altering phenotypic variance are predictable and arise from the relationship between a population's mean phenotype and the local environmental optimum. By factorially manipulating the mean and variance of a key host trait in environments with and without a lethal parasite, we demonstrate that increasing phenotypic variance can have beneficial effects for host populations (e.g. smaller disease epidemics), but only when the population's initial phenotype was poorly-matched to the local environment. When phenotypes were initially well-suited to environmental conditions, in contrast, greater phenotypic variance led to larger disease epidemics. Significant reductions in individual susceptibility occurred in both contexts over time, but the mechanisms leading to those reductions differed; strong selection was caused by either a 'suboptimal' trait mean and insufficient trait variance, or a 'near-optimal' trait mean and too much trait variance. Increasing intraspecific variation is clearly not always beneficial for populations, instead producing predictable ecological and evolutionary effects that depend on environmental context and biological interactions.
Data from: Phenotypic and genotypic variation across a stable white-eye (Zosterops sp.) hybrid zone in central South Africa
The interbreeding of two species after a period of separation (secondary contact) most often results in stable areas of hybridization or tension zones characterized by selection against hybrid individuals. Three plumage forms of Zosterops meet and interbreed in central South Africa. Here we examine how phenotypic measures (biometric and plumage) and genotypic markers (mitochondrial and nuclear DNA) change through a putative hybrid zone located in the area where the ranges of the Orange River white-eye Zosterops pallidus and a subspecies of the Cape white-eye Zosterops virens capensis meet. Four of the five sequenced loci (i.e. ATP6, MUSK, GADPH and TGF-β2) showed strong divergence and differentiation between allopatric parental populations, whereas the sex-linked CHD1Z locus exhibited high homogeneity. Microsatellite data also distinguished between pure Z. pallidus and Z. v. capensis populations. Together, the nuclear data (introns and microsatellites) identified at least 12 hybrid individuals as later generation hybrids (i.e. F2 or backcrosses), and no F1 hybrids were detected. As genetic incompatibility does not appear to play a role in restricting this stable hybrid zone, it is likely that environmental conditions including biome type and edge effect are constraining hybrid zone movement.
Data for 'Phenotypic plasticity and genetic variation in leaf traits of Yushania niitakayamensis (Bambusoideae; Poaceae) in contrasting light environments'
<p>This is the Data for the article entitled 'Phenotypic plasticity and genetic variation in leaf traits of Yushania niitakayamensis (Bambusoideae; Poaceae) in contrasting light environments' submitted to 'Journal of Plant Research'</p> <p><a href="https://doi.org/10.1007/s10265-021-01327-y">https://doi.org/10.1007/s10265-021-01327-y</a></p> <p>Traits' names are listed below:</p> <p>Leaf length (LL), Leaf width (LW), Specific leaf area (SLA), Stomatal density (SD), Leaf thickness (LT), Relative frequency of cavities formed by the collapsed fusoid cells (CFC), Leaf chlorophyll content per unit area ([Chl]area), Ratio of chlorophyll a to chlorophyll b (Chl a/b), Leaf nitrogen content per unit area ([N]area), Leaf stable carbon isotope ratio (δ13C), Photosynthetic photon flux density (PPFD), Actual quantum yield of PSII electron transport (ΦPSII), Electron transport rate (ETR), Light-saturated photosynthetic rate (Asat), Stomatal conductance (gs), Dark respiration rate (Rd), Apparent quantum yield (AQY), The ratio of intercellular to ambient CO2 concentration (Ci/Ca), Photosynthetic water use efficiency (WUE)</p>
Data from: Phenotypic integration in an extended phenotype: among‐individual variation in nest‐building traits of the alfalfa leafcutting bee (Megachile rotundata)
Structures such as nests and burrows are an essential component of many organisms' life-cycle and requires a complex sequence of behaviors. Because behaviors can vary consistently among individuals and be correlated with one another, we hypothesized that these structures would 1) show evidence of among-individual variation, 2) be organized into distinct functional modules, and 3) show evidence of trade-offs among functional modules due to limits on energy budgets. We tested these hypotheses using the alfalfa leafcutting bee, Megachile rotundata, a solitary bee and important crop pollinator. M. rotundata constructs complex nests by gathering leaf materials to form a linear series of cells in pre-existing cavities. In this study, we examined variation in the following nest construction traits: reproduction (number of cells per nest and nest length), nest protection (cap length and number of leaves per cap), cell construction (cell size and number of leaves per cell), and cell provisioning (cell mass) from 60 nests. We found a general decline in investment in cell construction and provisioning with each new cell built. In addition, we found evidence for both repeatability and plasticity in cell provisioning with little evidence for trade-offs among traits. Instead, most traits were positively, albeit weakly, correlated (r ~ 0.15), and traits were loosely organized into covarying modules. Our results show that individual differences in nest construction are detectable at a level similar to that of other behavioral traits and that these traits are only weakly integrated. This suggests that nest components are capable of independent evolutionary trajectories.
Genetic variation and phenotypic plasticity in circadian rhythms of an armed beetle, Gnatocerus cornutus (Tenebrionidae)
<p>Circadian rhythms, their free-running periods and strength of the rhythm are often used as indicators of biological clocks, and there is evidence that the free-running periods of circadian rhythm are not affected by environmental factors like temperature. However, there are few studies of environmental effects on the power of rhythms and it is not clear if temperature compensation is universal. Additionally, genetic variation and phenotypic plasticity in biological clocks are important for understanding the evolution of biological rhythm, but genetic and plastic effects are rarely investigated. Here, we used 18 isofemale lines (genotypes) of <i>Gnatocerus cornutus</i> to assess rhythms of locomotor activity, while also testing for temperature effects. We found that total activity and power of circadian rhythm were affected by interactions between sex and genotype or sex, genotype and temperature, so that while males tended to be more active and showed greater increases in activity, this effect varied across both genotypes and temperatures. The period of activity only varied by genotype and was thus independent of temperature. The complicated genotype-sex-environment interactions we recorded stress the importance of investigating circadian activity in more integrated ways.</p>
Data from: Axes of multivariate sexual signal divergence among incipient species: concordance with selection, genetic variation, and phenotypic plasticity
<p>Sexual signaling traits are often observed to diverge rapidly among populations, thereby playing a potentially key early role in the evolution of reproductive isolation. While often assumed to reflect divergent sexual selection among populations, patterns of sexual trait diversification might sometimes be biased along axes of standing additive genetic variation and covariation among trait components. Additionally, theory predicts that environmentally-induced phenotypic variation might facilitate rapid trait evolution, suggesting that patterns of divergence between populations should mirror phenotypic plasticity within populations. Here we evaluate the concordance between observed axes of multivariate sexual trait divergence and predicted divergence based on (1) interpopulation variation in sexual selection, (2) additive genetic variances, and (3) temperature-related phenotypic plasticity in male courtship song among geographically isolated populations of the Hawaiian swordtail cricket, Laupala cerasina, which exhibit sexual isolation due sexual signaling traits. The major axis of multivariate divergence, dmax, accounted for 76% of variation among population male song trait means, and was moderately correlated with interpopulation differences in directional sexual selection based on female preferences. However, the majority of additive genetic variance was largely oriented away from the direction of divergence, suggesting that standing genetic variation may not play a dominant role in the patterning of signal divergence. In contrast, the axis of phenotypic plasticity strongly mirrored patterns of interpopulation phenotypic divergence, which is consistent with a role for temperature-related plasticity in facilitating instead of inhibiting male song evolution and sexual isolation in these incipient species. We propose potential mechanisms by which sexual selection might interact with phenotypic plasticity to facilitate the rapid acoustic diversification observed in this species and clade.</p>
A modified fluctuation assay reveals a natural mutator phenotype that drives mutation spectrum variation within Saccharomyces cerevisiae
<p>Although studies of <em>Saccharomyces cerevisiae</em> have provided many insights into mutagenesis and DNA repair, most of this work has focused on a few laboratory strains. Much less is known about the phenotypic effects of natural variation within <em>S. cerevisiae</em>'s DNA repair pathways. Here, we use natural polymorphisms to detect historical mutation spectrum differences among several wild and domesticated <em>S. cerevisiae</em> strains. To determine whether these differences are likely caused by genetic mutation rate modifiers, we use a modified fluctuation assay with a <em>CAN1</em> reporter to measure de novo mutation rates and spectra in 16 of the analyzed strains. We measure a 10-fold range of mutation rates and identify two strains with distinctive mutation spectra. These strains, known as AEQ and AAR, come from the panel's 'Mosaic beer' clade and share an enrichment for C > A mutations that is also observed in rare variation segregating throughout the genomes of several Mosaic beer and Mixed origin strains. Both AEQ and AAR are haploid derivatives of the diploid natural isolate CBS 1782, whose rare polymorphisms are enriched for C > A as well, suggesting that the underlying mutator allele is likely active in nature. We use a plasmid complementation test to show that AAR and AEQ share a mutator allele in the DNA repair gene <em>OGG1</em>, which excises 8-oxoguanine lesions that can cause C > A mutations if left unrepaired.</p>
Data from: Hierarchical variation in phenotypic flexibility across timescales and associated survival selection shape the dynamics of partial seasonal migration
<p>Population responses to environmental variation ultimately depend on within-individual and among-individual variation in labile phenotypic traits that affect fitness, and resulting episodes of selection. Yet, complex patterns of individual phenotypic variation arising within and between time periods, and associated variation in selection, have not been fully conceptualised or quantified. We highlight how structured patterns of phenotypic variation in dichotomous threshold traits can theoretically arise and experience varying forms of selection, shaping overall phenotypic dynamics. We then fit novel multistate models to ten years of band-resighting data from European shags to quantify phenotypic variation and selection in a key threshold trait underlying spatio-seasonal population dynamics: seasonal migration versus residence. First, we demonstrate substantial among-individual variation alongside substantial between-year individual repeatability in within-year phenotypic variation ('flexibility'), with weak sexual dimorphism. Second, we demonstrate that between-year individual variation in within-year phenotypes ('supraflexibility') is structured and directional, consistent with the threshold trait model. Third, we demonstrate strong survival selection on within-year phenotypes, and hence on flexibility, that varies across years and sexes, including episodes of disruptive selection representing costs of flexibility. By quantitatively combining these results, we show how supraflexibility and survival selection on migratory flexibility jointly shape population-wide phenotypic dynamics of seasonal movement.</p>
Study of the genetic and phenotypic variation among wild and cultivated clary sages provides interesting avenues for breeding programs of a perfume, medicinal and aromatic plant
<p>A road-map of the genetic and phenotypic diversities in both crops and their wild-related species can help identifying valuable genetic resources for further crop breeding. The clary sage (<em>Salvia sclarea L.</em>), a perfume, medicinal and aromatic plant, is used for sclareol production and ornamental purposes. Despite its wide use in the field of cosmetics, the phenotypic and genetic diversity of wild and cultivated clary sage remains to be explored. We characterized the genetic and phenotypic variation of a collection of six wild <em>S. sclarea</em> populations from Croatia, sampled along an altitudinal gradient, and of populations of three <em>S. sclarea</em> cultivars. We showed low level of genetic diversity for the two <em>S. sclarea</em> traditional cultivars used for essential oil production and for ornamental purposes, respectively. In contrast, a recent cultivar resulting from new breeding methods, which involve hybridizations among several genotypes rather than traditional recurrent selection and self-crosses over time, showed high genetic diversity. We also observed a marked phenotypic differentiation for the ornamental clary sage compared with other cultivated and wild clary sages. Instead, the two cultivars used for essential oil production, a traditional and a recent, respectively, were not phenotypically differentiated from the wild Croatian populations. Our results also featured some wild populations with high sclareol content and early-flowering phenotypes as good candidates for future breeding programs. This study opens up perspectives for basic research aiming at understanding the impact of breeding methods on clary sage evolution, and highlights interesting avenues for clary breeding programs.</p>
Phenotypic plasticity contributes more to the variations in nutrient resorption than genetic differentiation in a grassland dominant
<p class="MsoNormal"><span>1. P</span><span>henotypic plasticity and genetic differentiation are the two important processes determining the leaf nutrient resorption among and within plant species, which is critical for understanding the adaptability of plants</span><span>.</span><span> However, relative contributions of <span>these two processes</span> have never been quantified at a large geographical scale. </span></p> <p class="MsoNormal"><span>2. Here, we investigated intraspecific variations in nutrient resorption among 14 <em>Stipa breviflora</em> populations along a latitude gradient in 2018 and 2019. Furthermore, we sow seeds from these populations in two common gardens at different latitudes, and</span><span> </span><span>examined the variations in nutrient resorption. </span></p> <p class="MsoNormal"><span>3. Our results showed that nitrogen and phosphorus resorption efficiency (NRE and PRE)<span> among </span><em>S. breviflora </em>populations<span> </span><span>in nature were positively related to latitude, while this trend disappeared in the common gardens. </span>The heritability of <span>NRE and PRE was 11.45 % and 16.78 %, respectively. These results suggested that</span> phenotypic plasticity contributed much more than genetic variation to nutrient resorption of <em>S. breviflora</em>.<span> </span>Moreover, <span>the structural equation modeling (SEM) suggested that latitude indirectly affected </span>nutrient resorption mainly by altering soil nutrients. With the increasing of latitude, soil nutrients decreased while nutrient resorption increased<span>. This suggested</span> <a name="_Hlk78556987"></a><span>the main process regulating nutrient resorption is negative feedback to soil nutrient availability. </span></span></p> <p class="MsoNormal"><span>4. </span><span>Our study provides new insights into the role of nutrient resorption in plant adaptations to geographic variations.</span></p>
Structural variants in the barley gene pool: precision and sensitivity to detect them using short-read sequencing and their association with gene expression and phenotypic variation
<p>SNV of 23 parental barley inbreds of the double round robin population (DRR) (<a href="https://doi.org/10.1111/pbi.13746">https://doi.org/10.1111/pbi.13746</a>) used in the publication "Structural variants in the barley gene pool: precision and sensitivity to detect them using short-read sequencing and their association with gene expression and phenotypic variation". SV, INDELs, and additional data are available via figshare (https://doi.org/10.6084/m9.figshare.16802473).</p>
ScienceDex guides
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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.