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531 results for “Genomic differentiation”
Data from: Sustained plumage divergence despite weak genomic differentiation and broad sympatry in sister species of Australian woodswallows (Artamus spp.)
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Data from: Genomic and geographic footprints of differential introgression between two divergent fish species (Solea spp.)
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Data from: Genomic analyses suggest adaptive differentiation of Northern European native cattle breeds
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Data from: The role of structural genomic variants in population differentiation and ecotype formation in Timema cristinae walking sticks
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Data from: Genomic analysis of a migratory divide reveals candidate genes for migration and implicates selective sweeps in generating islands of differentiation
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Data from: Genomic differentiation tracks earth-historic isolation in an Indo-Australasian archipelagic pitta (Pittidae; Aves) complex
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Data from: Influence of host plant, geography and pheromone strain on genomic differentiation in sympatric populations of Ostrinia nubilalis
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Data from: Whole genome sequencing of two North American Drosophila melanogaster populations reveals genetic differentiation and positive selection
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Data from: Parallel pattern of differentiation at a genomic island shared between clinal and mosaic hybrid zones in a complex of cryptic seahorse lineages
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Data from: Selection and genomic differentiation during ecological speciation: isolating the contributions of host association via a comparative genome scan of Neochlamisus bebbianae leaf beetles
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Data from: Genomic atolls of differentiation in coral reef fishes (Hypoplectrus spp, Serranidae)
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Data from: Ecological factors and morphological traits are associated with repeated genomic differentiation between lake and stream stickleback
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Widespread intersex differentiation across the stickleback genome – the signature of sexually antagonistic selection?
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Data from: Can AFLP genome scans detect small islands of differentiation? The case of shell sculpture variation in the periwinkle Echinolittorina hawaiiensis
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Data from: Differential effect of selection against LINE retrotransposons among vertebrates inferred from whole-genome data and demographic modeling
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Data from: Recurrent selection explains parallel evolution of genomic regions of high relative but low absolute differentiation in a ring species
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Contrasting population genomic differentiation in two sympatric Triplophysa loaches on the Qinghai-Tibet Plateau
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Data from: Shared patterns of genome-wide differentiation are more strongly predicted by geography than by ecology.
Closely related populations often display similar patterns of genomic differentiation, yet it remains an open question which ecological and evolutionary forces generate these patterns. The leading hypothesis is that this similarity in divergence is driven by parallel natural selection. However, several recent studies have suggested that these patterns may instead be a product of the depletion of genetic variation that occurs as result of background selection (i.e. linked negative selection). To date, there have been few direct tests of these competing hypotheses. To determine the relative contributions of background selection and parallel selection to patterns of repeated differentiation, we examined 24 independently derived populations of freshwater stickleback occupying a variety of niches and estimated genomic patterns of differentiation in each relative to their common marine ancestor. Patterns of genetic differentiation were strongly correlated across pairs of freshwater populations adapting to the same ecological niche, supporting a role for parallel natural selection. In contrast to other recent work, by examining populations adapting to the same niche we did not find evidence that similar patterns of genomic differentiation are generated by background selection. We also found that overall patterns of genetic differentiation were considerably more similar for populations found in closer geographic proximity. In fact, the effect of geography on the repeatability of differentiation was greater than that of parallel selection. Our results suggest that shared selective landscapes and ancestral variation are the key drivers of repeated patterns of differentiation in systems that have recently colonized novel environments.
Genomics of population differentiation in humpback dolphins, Sousa spp. in the Indo-Pacific Ocean
<p><span>Speciation is a fundamental process in evolution and crucial to the formation of biodiversity. It is a continuous and complex process, which can involve multiple interacting barriers leading to heterogeneous genomic landscapes with various peaks of divergence among populations. In this study, we used a population genomics approach to gain insights on the speciation process and to understand the population structure within the genus <i>Sousa </i>across its distribution in the Indo-Pacifc region. We found 5 distinct clusters, corresponding to <i>S. plumbea</i> along the eastern African coast and the Arabian Sea, the Bangladesh population, <i>S. chinensis</i> off Thailand<i> </i>and <i>S. sahulensis</i> off Australian waters. We suggest that the high level of differentiation found, even across geographically close areas, is likely determined by different oceanographic features such as sea surface temperature and primary productivity. </span></p>
Data from: Genomic and phenotypic differentiation of Arabidopsis thaliana along altitudinal gradients in the North Italian Alps
Altitudinal gradients in mountain regions are short-range clines of different environmental parameters such as temperature or radiation. We investigated genomic and phenotypic signatures of adaptation to such gradients in five Arabidopsis thaliana populations from the North Italian Alps that originated from 580 to 2350 m altitude by resequencing pools of 19–29 individuals from each population. The sample includes two pairs of low- and high-altitude populations from two different valleys. High-altitude populations showed a lower nucleotide diversity and negative Tajima's D values and were more closely related to each other than to low-altitude populations from the same valley. Despite their close geographic proximity, demographic analysis revealed that low- and high-altitude populations split between 260 000 and 15 000 years before present. Single nucleotide polymorphisms whose allele frequencies were highly differentiated between low- and high-altitude populations identified genomic regions of up to 50 kb length where patterns of genetic diversity are consistent with signatures of local selective sweeps. These regions harbour multiple genes involved in stress response. Variation among populations in two putative adaptive phenotypic traits, frost tolerance and response to light/UV stress was not correlated with altitude. Taken together, the spatial distribution of genetic diversity reflects a potentially adaptive differentiation between low- and high-altitude populations, whereas the phenotypic differentiation in the two traits investigated does not. It may resemble an interaction between adaptation to the local microhabitat and demographic history influenced by historical glaciation cycles, recent seed dispersal and genetic drift in local populations.
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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.