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788 results for “genotypic data”
Genotype and genetic diversity data for: Contrasts in riverscape patterns of intraspecific genetic variation in a diverse Neotropical fish community of high conservation value
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Data from: Genotype-by-environment interactions influence the composition of the Drosophila seminal proteome
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Data for: Intergenerational genotypic interactions drive collective behavioural cycles in a social insect
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Species-informative GT-seq markers for Columbia River salmonid fishes: Genotypic data and computing resources
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Data from: Maximum mutational robustness in genotype-phenotype maps follows a self-similar blancmange-like curve
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Genotype, phenotype and linkage data for Mimulus parishii x M. cardinalis hybrid incompatibility study
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Data for: Microbe-induced plant resistance alters aphid inter-genotypic competition leading to rapid evolution with consequences for plant growth and aphid abundance
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Data from: Genotype-by-genotype epistasis for exploratory behavior in D. simulans
Social interactions can influence the expression and underlying genetic basis of many traits. Yet, empirical investigations of indirect genetic effects (IGEs) and genotype-by-genotype epistasis—quantitative genetics parameters representing the role of genetic variation in a focal individual and its interacting partners in producing the observed trait values—are still scarce. Studying this social plasticity is notoriously challenging when individuals interact in groups, rather than (simpler) dyads. Here, we investigate the genetic architecture of social plasticity for exploratory behavior, one of the most intensively-studied behaviors in recent decades. Using isofemale lines of D. simulans, we measured genotypes both alone, and in social groups representing a mix of two genotypes. We found that females adjusted their exploratory behavior based on the behavior of others in the group, representing social plasticity. However, the direction of this plasticity depended on the identity of group members: focal individuals adjusted their exploratory behavior to match that of group members who were the same genotype as the focal, but, changed their exploratory behavior to differentiate from partner-genotype group members. Exploratory behavior also depended on the identities of both genotypes that composed the group. Together, these findings demonstrate genotype-by-genotype epistasis for exploratory behavior both within and among groups.
Data from: Distinct cold tolerance traits independently vary across genotypes in Drosophila melanogaster
The ability to cope with low temperature is a critical adaptation in thermally variable environments. Cold hardiness is comprised of several traits, including minimum temperatures for growth and activity, ability to survive severe cold, and ability to recover normal function after cold subsides. Across species, these traits are correlated and share physiological mechanisms, suggesting they were shaped by shared evolutionary processes. However, the extent cold hardiness traits and their associated mechanisms covary within populations has not been assessed. We measured five cold hardiness traits – critical thermal minimum (CTmin), chill coma recovery (CCR), acute and chronic cold tolerance, and cold-induced changes in locomotor behavior – along with cold-induced expression of two genes with known roles in cold hardiness (<i>Heat Shock Protein 70</i> and <i>Frost</i>) – across 12 lines of <i>D. melanogaster</i> derived from a single population. We observed significant genetic variation in all traits, but few correlated across genotypes, and these correlations were sex-dependent. Further, cold-induced gene expression varied by genotype, but there was no evidence supporting our hypothesis that cold-hardy lines would have either higher baseline expression or induction of stress genes. These results suggest cold hardiness traits possess unique mechanisms and may have the capacity to evolve independently.
Data from: Genotypic variation in the induction and persistence of transgenerational responses to seasonal cues
Phenotypes respond to environments experienced directly by an individual, via phenotypic plasticity, or to the environment experienced by ancestors, via transgenerational environmental effects. The adaptive value of environmental effects depends not only on the strength and direction of the induced response, but also on how long the response persists within and across generations, and how stably it is expressed across environments that are encountered subsequently. Little is known about the genetic basis of those distinct components, or even whether they exhibit genetic variation. We tested for genetic differences in the inducibility, temporal persistence, and environmental stability of transgenerational environmental effects in Arabidopsis thaliana. Genetic variation existed in the inducibility of transgenerational effects on traits expressed across the life cycle. Surprisingly, the persistence of transgenerational effects into the third generation was uncorrelated with their induction in the second generation. While environmental effects for some traits in some genotypes weakened over successive generations, others were stronger or even in the opposite direction in more distant generations. Therefore, transgenerational effects in more distant generations are not merely caused by the retention or dissipation of those expressed in prior generations, but they may be genetically independent traits with the potential to evolve independently.
Data from: Unraveling hierarchical genetic structure in a marine metapopulation: a comparison of three high-throughput genotyping approaches
<p>Marine metapopulations often exhibit subtle population structure that can be difficult to detect. Given recent advances in high-throughput sequencing, an emerging question is whether various genetic approaches, in concert with improved sampling designs, will substantially improve our understanding of genetic structure in the sea. To address this question, we explored hierarchical patterns of structure in the coral reef fish <i>Elacatinus lori</i> using a high-resolution approach with respect to both genetic and geographic sampling. Previously, we identified three putative <i>E. lori</i> populations within Belize using traditional genetic markers and sparse geographic sampling: barrier reef and Turneffe Atoll; Glover's Atoll; and Lighthouse Atoll. Here, we systematically sampled individuals at ~10 km intervals throughout these reefs (1,129 individuals from 35 sites) and sequenced all individuals at three sets of markers: 2,418 SNPs; 89 microsatellites; and 57 non-repetitive nuclear loci. At broad spatial scales, the markers were consistent with each other and with previous findings. At finer spatial scales, there was new evidence of genetic substructure, but our three marker sets differed slightly in their ability to detect these patterns. Specifically, we found subtle structure between the barrier reef and Turneffe Atoll, with SNPs resolving this pattern most effectively. We also documented isolation by distance within the barrier reef. Sensitivity analyses revealed that the number of loci (and alleles) had a strong effect on the detection of structure for all three marker sets, particularly at small spatial scales. Taken together, these results illustrate empirically that high-throughput genotyping data can elucidate subtle genetic structure at previously-undetected scales in a dispersive marine fish.</p>
Data from: One panel to rule them all: DArTcap genotyping for population structure, historical demography, and kinship analyses, and its application to a threatened shark
With recent advances in sequencing technology, genomic data are changing how important conservation management decisions are made. Applications such as Close-Kin Mark-Recapture demand large amounts of data to estimate population size and structure, and their full potential can only be realised through ongoing improvements in genotyping strategies. Here we introduce DArTcap, a cost-efficient method that combines DArTseq and sequence capture, and illustrate its use in a high resolution population analysis of Glyphis garricki, a rare, poorly known and threatened euryhaline shark. Clustering analyses and spatial distribution of kin pairs from four different regions across northern Australia and one in Papua New Guinea, representing its entire known range, revealed that each region hosts at least one distinct population. Further structuring is likely within Van Diemen Gulf, the region that included the most rivers sampled, suggesting additional population structuring would be found if other rivers were sampled. Coalescent analyses and spatially explicit modelling suggest that G. garricki experienced a recent range expansion during the opening of the Gulf of Carpentaria following the conclusion of the Last Glacial Maximum. The low migration rates between neighbouring populations of a species that is found only in restricted coastal and riverine habitats show the importance of managing each population separately, including careful monitoring of local and remote anthropogenic activities that may affect their environments. Overall we demonstrated how a carefully chosen SNP panel combined with DArTcap can provide highly accurate kinship inference and also support population structure and historical demography analyses, therefore maximising cost-effectiveness.
Data from: Multi-scale spatial genetic structure within and between populations of wild cherry trees in nuclear genotypes and chloroplast haplotypes
Spatial genetic structure (SGS) of plants mainly depends on the effective population size and gene dispersal. Maternally inherited loci are expected to have higher genetic differentiation between populations and more intensive SGS within populations than biparentally inherited loci because of smaller effective population sizes and fewer opportunities of gene dispersal in the maternally inherited loci. We investigated biparentally inherited nuclear genotypes and maternally inherited chloroplast haplotypes of microsatellites in 17 tree populations of three wild cherry species under different conditions of tree distribution and seed dispersal. As expected, inter-population genetic differentiation was 6–9 times higher in chloroplast haplotypes than in nuclear genotypes. This difference indicated that pollen flow 4–7 times exceeded seed flow between populations. However, no difference between nuclear and chloroplast loci was detected in within-population SGS intensity due to their substantial variation among the populations. The SGS intensity tended to increase as trees became more aggregated, suggesting that tree aggregation biased pollen and seed dispersal distances toward shorter. The loss of effective seed dispersers, Asian black bears, did not affect the SGS intensity probably because of mitigation of the bear loss by other vertebrate dispersers and too few tree generations after the bear loss to alter SGS. The findings suggest that SGS is more variable in smaller spatial scales due to various ecological factors in local populations.
Data from: A temporally intensive survey of bacterial communities of Brassica napus genotypes grown in three environments
Soil bacterial communities play vital roles in nutrient cycling and plant health. Breeding staple crops to have more robust microbiomes may be a sustainable way to improve crop yield without increasing inputs, leading to better global food security. We collected root and rhizosphere soil samples from sixteen genotypes of canola weekly for ten weeks at one site in 2016 and at three time points across three sites in 2017. We sequenced the 16S ribosomal RNA gene generating a total of 127.7 million reads. The data shows that rhizosphere communities are more diverse than corresponding root communities. Beta diversity analysis demonstrates both temporal and site-to-site differences in community structure. Using this dataset, these and other aspects of the canola microbiome characterization can be explored to advance our understanding of genotype by environment interactions This is a large temporally and spatially rich dataset, which will further our understanding of bacterial communities associated with canola. These data will be used in a variety of other projects, with the goal of enhancing agricultural sustainability.
Data from: RapidRat: development, validation and application of a genotyping-by-sequencing panel for rapid biosecurity and invasive species management
<p>Invasive alien species (IAS) are among the main causes of global biodiversity loss. Invasive brown (Rattus norvegicus) and black (R. rattus) rats, in particular, are leading drivers of extinction on islands, especially in the case of seabirds where >50% of all extinctions have been attributed to rat predation. Eradication is the primary form of invasive rat management, yet this strategy has resulted in a ~10-38% failure rate on islands globally. Genetic tools can help inform IAS management, but such applications to date have been largely reactive, time-consuming, and costly. Here, we developed a Genotyping-in-Thousands by sequencing (GT-seq) panel for rapid species identification and population assignment of invasive brown and black rats (RapidRat) in Haida Gwaii, an archipelago comprising ~150 islands off the central coast of British Columbia, Canada. We constructed an optimized panel of 443 single nucleotide polymorphisms (SNPs) using previously generated double-digest restriction-site associated DNA (ddRAD) genotypic data (27,686 SNPs) from brown (n=295) and black rats (n=241) sampled throughout Haida Gwaii. The informativeness of this panel for identifying individuals to species and island of origin was validated relative to the ddRAD results; in all comparisons, admixture coefficients and population assignments estimated using RapidRat were consistent. To demonstrate application, 20 individuals from novel invasions of three islands (Agglomerate, Hotspring, Ramsay) were genotyped using RapidRat, all of which were confidently assigned (>98.5% probability) to Faraday and Murchison Islands as putative source populations. These results indicated that a previous eradication on Hotspring Island was conducted at an inappropriate geographic scale; future management should expand the eradication unit to include neighboring islands to prevent re-invasion. Overall, we demonstrated that RapidRat is an effective tool for managing invasive rat populations in Haida Gwaii and provided a clear framework for GT-seq panel development for informing biodiversity conservation in other systems.</p>
Data from: Development and validation of a RAD-Seq target-capture based genotyping assay for routine application in advanced black tiger shrimp (Penaeus monodon) breeding programs
<p><i><span>Background</span></i></p> <p><span>The development of genome-wide genotyping resources has provided terrestrial livestock and crop industries with the unique ability to accurately assess genomic relationships between individuals, uncover the genetic architecture of commercial traits, as well as identify superior individuals for selection based on their specific genetic profile. Utilising recent advancements in <i>de-novo</i> genome-wide genotyping technologies, it is now possible to provide aquaculture industries with these same important genotyping resources, even in the absence of existing genome assemblies. Here, we present the development of a genome-wide SNP assay for the Black Tiger shrimp (<i>Penaeus monodon</i>) through utilisation of a reduced-representation whole-genome genotyping approach (DArTseq).</span></p> <p><i><span>Results</span></i></p> <p><span>Based on a single reduced-representation library, 31,262 polymorphic SNPs were identified across 650 individuals obtained from Australian wild stocks and commercial aquaculture populations. After filtering to remove SNPs with low read depth, low MAF, low call rate, deviation from HWE, and non-Mendelian inheritance, 7,542 high-quality SNPs were retained. From these, 4,236 high-quality genome-wide loci were selected for bates-probe development and 4,194 SNPs were included within a finalized target-capture genotype-by-sequence assay (DArTcap). This assay was designed for routine and cost effective commercial application in large scale breeding programs, and demonstrates higher confidence in genotype calls through increased call rate (from 80.2 </span>± 14.7 to 93.0% ± 3.5%<span>), </span>increased read depth (from 20.4 ± 15.6 to 80.0 ± 88.7<span>), as well as a 3-fold reduction in cost over traditional genotype-by-sequencing approaches.</span></p> <p><i><span>Conclusion</span></i></p> <p><span>Importantly, this assay equips the <em>P. monodon</em> industry with the ability to simultaneously assign parentage of communally reared animals, undertake genomic relationship analysis, manage mate pairings between cryptic family lines, as well as undertake advance studies of genome and trait architecture. Critically this assay can be cost effectively applied as <em>P. monodon</em> breeding programs transition to undertaking genomic selection.</span></p>
Data from: Genotype and male sterility phenotype data for An. coluzzii x An. quadriannulatus backcross
<p>The <i>Anopheles gambiae</i> complex is comprised of eight morphologically indistinguishable species and has emerged as a model system for the study of speciation genetics due to the rapid radiation of its member species over the past two million years. Male hybrids between most <i>An. gambiae</i> complex species pairs are sterile, and some genotype combinations in hybrid males cause inviability. We investigated the genetic basis of hybrid male inviability and sterility between <i>An. coluzzii</i> and <i>An. quadriannulatus </i>by measuring segregation distortion and performing a QTL analysis of sterility in a backcross population. Hybrid males were inviable if they inherited the <i>An. coluzzii</i> X chromosome and were homozygous at one or more loci in 18.9 Mb region of chromosome 3. The <i>An. coluzzii </i>X chromosome has a disproportionately large effect on hybrid sterility when introgressed into an <i>An. quadriannulatus</i> genetic background. Additionally, an epistatic interaction between the <i>An. coluzzii </i>X and a 1.12 Mb, pericentric region of the <i>An. quadriannulatus </i>3L chromosome arm has a statistically significant contribution to the hybrid sterility phenotype. This same epistatic interaction occurs when the <i>An. coluzzii</i> X is introgressed into the genetic background of <i>An. arabiensis, </i>the sister species of <i>An. quadriannulatus</i>, suggesting that this may represent one of the first Dobzhansky–Muller incompatibilities to evolve early in the radiation of the <i>Anopheles gambiae </i>species complex. We describe the additive effects of each sterility QTL, epistatic interactions between them, and genes within QTL with protein functions related to mating behavior, reproduction, spermatogenesis, and microtubule morphogenesis, whose divergence may contribute to post-zygotic reproductive isolation between <i>An. coluzzii </i>and <i>An. quadriannulatus.</i></p>
Genotype and phenotype data for Columbia River steelhead.
<p>As life history diversity plays a critical role in supporting the resilience of exploited populations, understanding the genetic basis of those life history variations is important for conservation management. However, effective application requires a robust understanding of the strength and universality of genetic associations. Here, we examine genetic variation of single nucleotide polymorphisms in genomic regions previously associated with migration phenology and age-at-maturity in steelhead (<i>Oncorhynchus mykiss</i>) from the Columbia River. We found chromosome 28 markers (GREB1L, ROCK1 genes) explained significant variance in migration timing in both coastal and inland steelhead. However, strength of association was much greater in coastal than inland steelhead (R<sup>2</sup> 0.51 vs 0.08), suggesting that genomic background and challenging inland migration pathways may act to moderate effects of this region. Further, we found that chromosome 25 candidate markers (SIX6 gene) were significantly associated with age and size at first return migration for inland steelhead, and this pattern was mediated by sex in a predictable pattern (males R<sup>2</sup> = 0.139-0.170; females R<sup>2</sup> = 0.096-0.111). While this encourages using these candidate regions in predicting life history characteristics, we suggest that stock specific associations and haplotype frequencies will be useful in guiding implementation of genetic assays to inform management.</p> <p> </p>
Data from: The clinical, histological, and genotypic spectrum of SEPN1-related myopathy: a case series
<p><b><span>Objective: </span></b><span>To clarify the prevalence, long-term natural history and severity determinants of SEPN1-related myopathy (SEPN1-RM), we analyzed a large international case series. </span></p> <p><b>Methods: </b>Retrospective clinical, histological and genetic analysis of 132 pediatric and adult patients (2-58 years) followed-up for several decades.</p> <p><b><span>Results: </span></b><span>The clinical phenotype was marked by severe axial muscle weakness, spinal rigidity and scoliosis (86.1%, from 8.9±4 years), with relatively-preserved limb strength and previously-unreported ophthalmoparesia in severe cases. All patients developed respiratory failure (from 10.1±6 years), 81.7% requiring ventilation while ambulant. Histopathologically, 79 muscle biopsies showed large variability, partly determined by site of biopsy and age. Multi-minicores were the most common lesion (59.5%), often associated with mild dystrophic features and occasionally with eosinophilic inclusions. Identification of 65 SEPN1 mutations, including 32 novel ones and the first pathogenic CNV, unveiled exon 1 as the main mutational hotspot and revealed the first genotype-phenotype correlations, bi-allelic null mutations being significantly associated with disease severity (<i>p</i>=0.017). SEPN1-RM was more severe and progressive than previously thought, leading to loss of ambulation in 10% cases, systematic functional decline from the end of the third decade and reduced lifespan even in mild cases. The main prognosis determinants were scoliosis/respiratory management, <i>SEPN1</i> mutations and body mass abnormalities, which correlated with disease severity. Finally, we propose a set of severity criteria, provide quantitative data for outcome identification and establish a need for age stratification.</span></p> <p><b><span>Conclusion</span></b><span>: Our results inform clinical practice, improving diagnosis and management, and represent a major breakthrough for clinical trial readiness in this not-so-rare disease.</span></p>
Microsatellite genotypes and associated data for: The contribution of clonality to population genetic structure in the sea anemone Diadumene lineata
<p>Ecological and evolutionary processes differ depending on how genetic diversity is organized in space. For clonal organisms, the organization of both genetic and genotypic diversity can influence the fitness effects of competition, the mating system, and reproductive mode, which are key drivers of life cycle evolution. Understanding how individual reproductive behavior contributes to population genetic structure is essential for disentangling these forces, particularly in species with complex and plastic life cycles. The widespread sea anemone <i>Diadumene lineata</i> exhibits temperature-dependent fission which contributes to predictable variation in clonal rate along the Atlantic coast of the United States, part of its non-native range. Because warmer conditions lead to higher rates of clonality, we expected to find lower genotypic and genetic diversity in lower versus higher latitude populations. We developed primers for 11 microsatellite loci and genotyped 207 anemones collected from 8 sites ranging from Florida to Massachusetts. We found clonal influence at all sites, and as predicted, the largest clones were found at lower latitude sites. We also found genetic signatures of sex in the parts of the range where gametogenesis is most common. Evidence of sex outside the native range is novel for this species and provides insights into the dynamics of this successful invader. Our findings also illustrate challenges that partially clonal taxa pose for eco-evolutionary studies, such as difficulty sampling statistically robust numbers of genets and interpretating common population genetic metrics. For example, we found high among-locus variation in F<i><sub>is, </sub></i>which makes the meaning of mean multilocus F<i><sub>is</sub></i> unclear.</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.