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84 results for “genetic resources”
Data from: Environmental stress and resource availability affect the maintenance of genetic variation in a dominant marsh plant (Spartina alterniflora)
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Microsatellite genotypes and extraction plate positions from publication: Genetic structure across urban and agricultural landscapes reveals evidence of resource specialization and philopatry in the Eastern carpenter bee, Xylocopa virginica L.
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Data from: The red coral (Corallium rubrum) transcriptome: a new resource for population genetics and local adaptation studies
The question of species survival and evolution in heterogeneous environments has long been a subject for study. Indeed, it is often difficult to identify the molecular basis of adaptation to contrasted environments, and nongenetic effects increase the difficulty to disentangle fixed effects, such as genetic adaptation, from variable effects, such as individual phenotypic plasticity, in adaptation. Nevertheless, this question is also of great importance for understanding the evolution of species in a context of climate change. The red coral (Corallium rubrum) lives in the Mediterranean Sea, where at depths ranging from 5 to 600 m, it meets very contrasted thermal conditions. The shallowest populations of this species suffered from mortality events linked with thermal anomalies that have highlighted thermotolerance differences between individuals. We provide here a new transcriptomic resource, as well as candidate markers for the study of local adaptation. We sequenced the transcriptome of six individuals from 5 m and six individuals from 40 m depth at the same site of the Marseilles bay, after a period of common garden acclimatization. We found differential expression maintained between the two depths even after common garden acclimatization, and we analysed the polymorphism pattern of these samples. We highlighted contigs potentially implicated in the response to thermal stress, which could be good candidates for the study of thermal adaptation for the red coral. Some of these genes are also involved in the response to thermal stress in other corals. Our method enables the identification of candidate loci of local adaptation useful for other nonmodel organisms.
Data from: Parallel genetic adaptation across environments differing in mode of growth or resource availability
Evolution experiments have demonstrated high levels of genetic parallelism between populations evolving in identical environments. However, natural populations evolve in complex environments that can vary in many ways, likely sharing some characteristics but not others. Here we ask whether shared selection pressures drive parallel evolution across distinct environments. We addressed this question in experimentally evolved populations founded from a clone of the bacterium <i>Burkholderia cenocepacia</i>. These populations evolved for 90 days (approximately 600 generations) under all combinations of high or low carbon availability and selection for either planktonic or biofilm modes of growth. Populations that evolved in environments with shared selection pressures (either level of carbon availability or mode of growth) were more genetically similar to each other than populations from environments that shared neither characteristic. However, not all shared selection pressures led to parallel evolution. Genetic parallelism between low-carbon biofilm and low-carbon planktonic populations was very low despite shared selection for growth under low-carbon conditions, suggesting that evolution in low-carbon environments may generate stronger tradeoffs between biofilm and planktonic modes of growth. For all environments, a population's fitness in a particular environment was positively correlated with the genetic similarity between that population and the populations that evolved in that particular environment. Although genetic similarity was low between low-carbon environments, overall, evolution in similar environments led to higher levels of genetic parallelism and that genetic parallelism, in turn, was correlated with fitness in a particular environment.
Linked collectors and determiners for: Nordic Genetic Resources.
Natural history specimen data linked to collectors and determiners held within, "Nordic Genetic Resources". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/85a347c0-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/85a347c0-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/85a347c0-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/85a347c0-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Data from: Effects of founding genetic variation on adaptation to a novel resource
Population genetic theory predicts that adaptation in novel environments is enhanced by genetic variation for fitness. However, theory also predicts that under strong selection, demographic stochasticity can drive populations to extinction before they can adapt. We exposed wheat-adapted populations of the flour beetle (Tribolium castaneum) to a novel suboptimal corn resource, to test the effects of founding genetic variation on population decline and subsequent extinction or adaptation. As previously reported, genetically diverse populations were less likely to go extinct. Here, we show that among surviving populations, genetically diverse groups recovered faster after initial population decline. Within two years, surviving populations significantly increased their fitness on corn via increased fecundity, increased egg survival, faster larval development, and higher rate of egg cannibalism. However, founding genetic variation only enhanced the increase in fecundity, despite existing genetic variation – and apparent lack of tradeoffs – for egg survival and larval development time. Thus, during adaptation to novel habitats the positive impact of genetic variation may be restricted to only a few traits, although change in many life-history traits may be necessary to avoid extinction. Despite severe initial maladaptation and low population size, genetic diversity can thus overcome predicted high extinction risk in new habitats.
Data from: The red coral (Corallium rubrum) transcriptome: a new resource for population genetics and local adaptation studies
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Data from: Parallel genetic adaptation across environments differing in mode of growth or resource availability
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Data from: Effects of founding genetic variation on adaptation to a novel resource
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Data from: Dividing a maternal pie among half-sibs: genetic conflicts and the control of resource allocation to seeds in maize
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Genetics of the hippocampal transcriptome in mouse: a systematic survey and online neurogenomics resource
GEO Series GSE84767. Mus musculus. 201 samples. Type: Expression profiling by array.
A GENETIC, GENOMIC, AND COMPUTATIONAL RESOURCE FOR EXPLORING NEURAL CIRCUIT FUNCTION
GEO Series GSE116969. Drosophila melanogaster. 266 samples. Type: Expression profiling by high throughput sequencing.
Assessment of the Psychological, Cognitive and Social Resources of Applicants for Huntington's Disease and Presymptomatic Genetic Testing
ClinicalTrials.gov study NCT02134561. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Landscape genomics analysis: A comprehensive guide to enhance the conservation and use of plant genetic resources
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A High-Resolution Copy Number Variation Resource for Clinical Genetics
GEO Series GSE59150. Homo sapiens. 873 samples. Type: SNP genotyping by SNP array; Genome variation profiling by SNP array; Genome variation profiling by genome tiling array.
Temperature-dependence and genetic variation in resource acquisition strategies in a model freshwater plant
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ECOBREED WP5 T5.1 Phenotypic data of buckwheat genetic resources
<p>Phenotypic evaluation of the ECOBREED WP5 buckwheat collection in Austria (2019-2021), Czech Republic (2019-2021), Slovenia (2019-2021) and USA (2020-2021). Field data and quality analyses are available in separate files for the individual countries of testing; data from the individual years are in separate sheets within each file.</p>
Supplementary material - Global strategy for the conservation and use of genetic resources of selected millets
<p><strong>Supplementary material for: </strong>Bramel, P., Giovannini, P. and M. Eshan Dulloo. 2022. Global strategy for the conservation and use of genetic resources of selected millets. Global Crop Diversity Trust. Bonn, Germany. DOI: 10.5281/zenodo.7798294</p>
The search of genetic resources for parthenocarpic pears and comparison of gene expression between high and low parthenocarpy cultivars
GEO Series GSE27090. Pyrus hybrid cultivar; Pyrus pyrifolia; Pyrus communis; Pyrus communis x Pyrus pyrifolia. 12 samples. Type: Expression profiling by array.
Landscape of mouse mast cell chromatin: a rich resource for identification of novel mediators and genetic drivers of allergic and inflammatory diseases
GEO Series GSE111547. Mus musculus. 29 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
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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.