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31 results for “ecotypic variation”
Influence of voltine ecotype and geographic distance on genetic and haplotype variation in the Asian corn borer
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Ecotypic variation in Elymus elymoides productivity and drought resistance traits across the western United States
<p><strong>Introduction:</strong> Understanding local adaptation to climate is critical for managing ecosystems in the face of climate change. While there have been many provenance studies in trees, less is known about local adaptation in herbaceous species, including the perennial grasses that dominate arid and semiarid rangeland ecosystems.</p> <p><strong>Methods and Results:</strong> We used a common-garden study to quantify variation in growth and drought-resistance traits in 99 populations of <i>Elymus elymoides</i> from a broad geographic and climatic range in the western United States. Ecotypes from drier sites produced less biomass and smaller seeds, and had traits associated with greater drought resistance: small leaves with low osmotic potential and high integrated water use efficiency (δ<sup>13</sup>C). Seasonality also influenced plant traits. Plants from regions with relatively warm, wet summers had large seeds, large leaves, and low δ<sup>13</sup>C. Irrespective of climate, we also observed tradeoffs between biomass production and drought resistance traits.</p> <p><strong>Discussion:</strong> Together, these results suggest that much of the phenotypic variation among <i>E. elymoides</i> ecotypes represents local adaptation to differences in the amount and timing of water availability. In addition, ecotypes that grow rapidly may be less able to persist under dry conditions. Land managers may be able to use this variation to improve restoration success by seeding ecotypes with multiple drought resistance traits in areas with lower precipitation. The future success of this common rangeland species will likely depend on the use of tools such as seed transfer zones to match local variation in growth and drought resistance to predicted climatic conditions.</p>
Data from: Genetic basis for variation in salinity tolerance between stickleback ecotypes
Adaptation to different salinities can drive and maintain divergence between populations of aquatic organisms. Anadromous and stream ecotypes of threespine stickleback (Gasterosteus aculeatus) are an excellent model to explore the genetic mechanisms underlying osmoregulation divergence. Using a parapatric pair of anadromous and stream stickleback ecotypes, we employed an integrated genomic approach to identify candidate genes important for adaptation to different salinity environments. Quantitative trait loci (QTL) mapping of plasma sodium concentrations under a seawater challenge experiment identified a significant QTL on chromosome 16. To identify candidate genes within this QTL, we first conducted RNA-seq and microarray analysis on gill tissue to find ecotypic differences in gene expression that were associated with plasma Na+ levels. This resulted in the identification of ten candidate genes. Quantitative PCR analysis on gill tissue of additional Japanese stickleback populations revealed that the majority of the candidate genes showed parallel divergence in expression levels. Second, we conducted whole-genome sequencing and found five genes that are predicted to have functionally important amino acid substitutions. Finally, we conducted genome scan analysis and found that eight of these candidate genes were located in genomic islands of high differentiation, suggesting that they may be under divergent selection. The candidate genes included those involved in ATP synthesis and hormonal signalling, whose expression or amino acid changes may underlie the variation in salinity tolerance. Further functional molecular analysis of these genes will reveal the causative genetic and genomic changes underlying divergent adaptation.
Data from: Intraspecific brain size variation between coexisting sunfish ecotypes
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Ecotypic variation in Elymus elymoides productivity and drought resistance traits across the western United States
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Data from: Understanding the evolutionary potential of epigenetic variation: a comparison of heritable phenotypic variation in epiRILs, RILs and natural ecotypes of Arabidopsis thaliana
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Data from: Genetic basis for variation in salinity tolerance between stickleback ecotypes
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Potential role of natural variation in the Arabidopsis CBF Pathway contributing to local adaptation of ecotypes collected from Italy and Sweden
GEO Series GSE67332. Arabidopsis thaliana. 18 samples. Type: Expression profiling by high throughput sequencing.
Altered H3K27 trimethylation contributes to flowering time variations in polyploid Arabidopsis thaliana ecotypes
GEO Series GSE185114. Arabidopsis thaliana. 24 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Using Shewanella baltica ecotypes as a model for transcriptional variation
GEO Series GSE37672. Shewanella baltica OS195; Shewanella baltica OS155; Shewanella baltica OS185; Shewanella baltica OS223; Shewanella baltica. 72 samples. Type: Expression profiling by array.
FNR1 mutation against ecotype variation
GEO Series GSE9402. Arabidopsis thaliana. 4 samples. Type: Expression profiling by array.
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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.