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5 results for “osmotic niche”
Data from: Functional and population genomic divergence within and between two species of killifish adapted to different osmotic niches
Adaptation to salinity affects species distributions, promotes speciation, and guides many evolutionary patterns in fishes. To uncover the basis of a complex trait like osmoregulation, genome-level analyses are sensible. We combine population genomic scans with genome expression profiling to discover candidate genes and pathways associated with divergence between osmotic environments. We compared transcriptome sequence divergence between multiple freshwater and saltwater populations of the rainwater killifish, Lucania parva. We also compared sequence divergence between L. parva and its sister species, Lucania goodei, a freshwater specialist. We found highly differentiated single nucleotide polymorphisms (SNPs) between freshwater and saltwater L. parva populations in cell junction and ion transport genes, including V-type H+ ATPase. Between species, we found divergence in reproduction and osmotic stress genes. Genes that were differentially expressed between species during osmotic acclimation included genes involved in ion transport and cell volume regulation. Gene sets that were divergent in coding sequence and divergent in expression did not overlap, although they did converge in function. Like many studies using genomic scans, our approach may miss some loci that contribute to adaptation but have complicated patterns of allelic variation. Our study suggests that gene expression and coding sequence may evolve independently as populations adapt to a complex physiological challenge.
Data from: Functional and population genomic divergence within and between two species of killifish adapted to different osmotic niches
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Genetic Diversity, Ecological Niches, and Climate Change Vulnerability of Aspens in the Upper Midwest:Leaf osmotic potential and stomatal pore index
Quaking aspen (Populus tremuloides) is the most cosmopolitan tree species in North America and an important native at Cedar Creek and across the Midwest. Aspen stands are quite common through eastern, central, and northern Minnesota, and occur sporadically in cool, wet microclimates across the Great Plains. Currently, these stands are in decline, are poorly reproducing in the wild, and are suffering from a range of stresses. Climate change associated phenomena, drought and altered freeze-thaw cycles, have contributed to massive aspen dieback, especially in the American West. We have received funding from the National Park Service to assess the genetic diversity and hybrid status, age structure and health, ecological niche and historical rate of range contraction, and drought and freezing tolerance physiology of an aspen stand of interest at the Niobrara National Scenic River (NNSR) in northern Nebraska. As part of this project, we are also studying genetic diversity and physiological vulnerability to climate change in quaking and bigtooth (P. grandidentata) aspen populations in Minnesota, Wisconsin, Iowa, South Dakota, and Nebraska. We will use genetic markers to identify genetically unique stands and compare growth and survival of these to populations of the parent species under different drought and freeze-thaw conditions. This study will allow us to better pinpoint the causes of decline in the NNSR aspen stands and aspen stands across the upper Midwest, and potentially provide guidance to managers on the prioritization of particular stands for conservation or in identifying genetic sources for any ex situ conservation or assisted migration.
Data from: Understanding the genomic basis of adaptive response to variable osmotic niches in freshwater prawns: a comparative intraspecific RNA-Seq analysis of Macrobrachium australiense
Understanding the molecular basis of adaptive response to variable environmental conditions is a central goal of evolutionary biology. Here we sought to identify potential outlier SNPs (single nucleotide polymorphisms) in three wild populations of a freshwater prawn (Macrobrachium australiense) that are exposed to differing osmotic niches by using a comparative transcriptomics approach. De novo assembly of approximately 542 million (75 nt) pair end reads collected from 10 individuals revealed 123,396 longer contigs/transcripts of variable length, that showed 97.38% transcriptome assembly completeness. Differential gene expression (DGE) analysis of major osmoregulatory genes revealed that Calreticulin, Na+/H+ exchanger and V-type (H+) ATPase showed the highest expression levels in the Blunder Creek (low ionic) population, while Crustacean cardiovascular peptide (CCP), Na+/K+-ATPase, Na+/K+/2Cl- Co-transporter (NKCC) and Na+/HCO3 exchanger showed the highest expression levels in the Bulimba Creek (higher ionic) population. In total, 16 gene ontology (GO) term categories were functionally enriched among the three studied populations. We identified 4144 raw and 835 high quality filtered SNPs in the three M. australiense populations, of which 84 SNPs were identified as outliers. Outliers were detected in 4 important osmoregulatory genes that include: Calreticulin, Na+/H+ exchanger, Na+/K+-ATPase and V-type-(H+)-ATPase. All outliers in the osmoregulatory genes were located in non-coding regulatory regions (untranslated regions, UTRs) of the gene. We hypothesize that the outlier SNPs identified here in M. australiense populations exposed naturally to different osmotic conditions influence specific gene expression patterns that allow individuals to respond to local environmental conditions.
Data from: Understanding the genomic basis of adaptive response to variable osmotic niches in freshwater prawns: a comparative intraspecific RNA-Seq analysis of Macrobrachium australiense
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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.
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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.