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245 results for “genome-wide differentiation”
Genome-wide differentiation by geography not species in taxonomically complex eyebrights (Euphrasia)
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Data from: Genome-wide diversity and habitat underlie fine-scale phenotypic differentiation in the rainbow darter (Etheostoma caeruleum)
<p>Adaptation to environmental change requires that populations harbor the necessary genetic variation to respond to selection. However, dispersal-limited species with fragmented populations and reduced genetic diversity may lack this variation and are at an increased risk of local extinction. In freshwater fish species, environmental change in the form of increased stream temperatures places many cold-water species at-risk. We present a study of rainbow darters (<i>Etheostoma caeruleum</i>) in which we evaluated the importance of genetic variation on adaptive potential and determined responses to extreme thermal stress. We compared fine-scale patterns of morphological and thermal tolerance differentiation across eight sites, including a unique lake habitat. We also inferred contemporary population structure using genomic data and characterized the relationship between individual genetic diversity and stress tolerance. We found site-specific variation in thermal tolerance that generally matched local conditions and morphological differences associated with lake-stream divergence. We detected patterns of population structure on a highly local spatial scale that could not be explained by isolation by distance or stream connectivity. Finally, we showed that individual thermal tolerance was positively correlated with genetic variation, suggesting that sites with increased genetic diversity may be better at tolerating novel stress. Our results highlight the importance of considering intraspecific variation in understanding population vulnerability and stress response.</p>
Genome-wide population structure and admixture analysis reveals weak differentiation among Ugandan goat breeds
<p><strong>Summary</strong></p> <p>Uganda is endowed with a large population of goats from predominantly indigenous breeds reared in diverse production systems, whose existence is threatened by crossbreeding with exotic Boer goats. Knowledge about the genetic characteristics and relationships among these Ugandan goat breeds and the potential admixture of the exotic breed Boer is still limited. Using a medium density single nucleotide polymorphism (SNP) panel, we assessed the genetic diversity, population structure and admixture in six Ugandan goat breeds. Samples from five indigenous Ugandan goat breeds including Mubende (n=29), Kigezi (n=29), Small East African (n=29), Sebei (n=29) and Karamojong (n=15), and the exotic breed Boer (n=13) from different agro-ecological regions of Uganda were genotyped using the GoatSNP50 BeadChip. Analysis of genotype data revealed high levels of polymorphism with the proportion of polymorphic SNPs ranging from 0.885 in Kigezi to 0.928 in Sebei. The overall mean genetic diversity indices across breeds for <em>H<sub>O</sub></em> and <em>H<sub>E</sub></em> was 0.355±0.147 and 0.384±0.143 respectively. Principle components, genetic distances and ADMIXTURE analyses revealed weak population sub-structuring among the breeds. Principle components separate Kigezi and weakly Small East African from other indigenous goats. Sebei and Karamojong are tightly entangled together while Mubende occupies a more central position with high admixture from all other local breeds. The Boer breed showed a unique cluster from the Ugandan indigenous goat breeds. The results reflect common ancestry but also some level of geographical differentiation. ADMIXTURE and four population test analyses further revealed gene-flow from Boer to Ugandan indigenous goat breeds and varying levels of admixture among the Ugandan indigenous breeds. Generally, moderate to high levels of genetic variability were observed in the Ugandan goat breeds. Our findings provide useful insight to devise strategies to maintain genetic diversity in local goat breeds from Uganda and to design appropriate breeding programs to exploit within breed diversity and heterozygote advantage in cross-breeding schemes.</p>
Strong habitat-specific phenotypic plasticity but no genome-wide differentiation across a rainforest gradient in an African butterfly
<p>Habitat-specific thermal responses are well documented in various organisms and likely determine the vulnerability of populations to climate change. However, the underlying roles of genetics and plasticity that shape such habitat-specific patterns are rarely investigated together. Here we examined the thermal plasticity of the butterfly <em>Bicyclus</em> <em>dorothea</em> originating from rainforest and ecotone habitats in Cameroon under common garden conditions. We also sampled wild-caught butterflies from forest and ecotone sites and used RADseq to explore genome-wide population differentiation. We found differences in the level of phenotypic plasticity across habitats. Specifically, ecotone populations exhibited greater sensitivity in wing eyespot features with variable development temperatures relative to rainforest populations. Known adaptive roles of wing eyespots in <em>Bicyclus</em> species suggest that this morphological plasticity is likely under divergent selection across environmental gradients. However, we found no distinct population structure of genome-wide variation between habitats, suggesting high levels of ongoing gene flow between habitats is homogenizing most parts of the genome.</p>
Data from: Genome-wide diversity and habitat underlie fine-scale phenotypic differentiation in the rainbow darter (Etheostoma caeruleum)
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Strong habitat-specific phenotypic plasticity but no genome-wide differentiation across a rainforest gradient in an African butterfly
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Data from: Genome-wide differentiation in closely related populations: the roles of selection and geographic isolation
Population divergence in geographic isolation is due to a combination of factors. Natural and sexual selection may be important in shaping patterns of population differentiation, a pattern referred to as 'isolation by adaptation' (IBA). IBA can be complementary to the well-known pattern of 'isolation by distance' (IBD), in which the divergence of closely related populations (via any evolutionary process) is associated with geographic isolation. The barn swallow Hirundo rustica complex comprises six closely related subspecies, where divergent sexual selection is associated with phenotypic differentiation among allopatric populations. To investigate the relative contributions of selection and geographic distance to genome-wide differentiation, we compared genotypic and phenotypic variation from 350 barn swallows sampled across eight populations (28 pairwise comparisons) from four different subspecies. We report a draft whole-genome sequence for H. rustica, to which we aligned a set of 9493 single nucleotide polymorphisms (SNPs). Using statistical approaches to control for spatial autocorrelation of phenotypic variables and geographic distance, we find that divergence in traits related to migratory behaviour and sexual signalling, as well as geographic distance, together explain over 70% of genome-wide divergence among populations. Controlling for IBD, we find 42% of genomewide divergence is attributable to IBA through pairwise differences in traits related to migratory behaviour and sexual signalling alone. By (i) combining these results with prior studies of how selection shapes morphological differentiation and (ii) accounting for spatial autocorrelation, we infer that morphological adaptation plays a large role in shaping population-level differentiation in this group of closely related populations.
Data from: Genome-wide differentiation in closely related populations: the roles of selection and geographic isolation
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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.
Data from: Shared patterns of genome-wide differentiation are more strongly predicted by geography than by ecology.
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Data from: Genome-wide differential expression of synaptic long non-coding RNAs in autism spectrum disorder
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Data from: Genome-wide SNPs reveal fine-scale differentiation among wingless alpine stonefly populations, and introgression between winged and wingless forms
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Genome-wide CRISPR screen for comprehensive identification of human factors involved in alternative polyadenylation based on differential localization of CD47 protein
GEO Series GSE288919. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide distribution of AdpA, a global regulator for secondary metabolism and morphological differentiation in Streptomyces, revealed the extent and complexity of the AdpA regulatory network.
GEO Series GSE33994. Streptomyces griseus. 9 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide analysis of differentially expressed profiles of miRNAs, mRNAs, lncRNAs and circRNAs in F. nucleatum infection
GEO Series GSE190606. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Genome-wide transcriptome analysis of pluripotent (2iL) and differentiated (2iL withdrawal) mES cells, overexpressing a DOX-inducible Esrrb
GEO Series GSE184132. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide transcriptomic profiling of cardiomyocyte differentiation from human ES cells and iPS cells under exposure to sublethal of isotretinoin (RNA-seq)
GEO Series GSE85880. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of differential gene expression in human embryonic stem cell-derived central nervous system, neural crest, and progenitor populations over time
GEO Series GSE45223. Homo sapiens. 36 samples. Type: Expression profiling by array.
Genome-wide identification of target genes for the transcription factors Nkx2.2 and Zfp488 in differentiating CG4 cells as a model for differentiating oligodendrocytes
GEO Series GSE244592. Rattus norvegicus. 23 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide gene expression analysis for target genes to differentiate patients with intestinal tuberculosis and Crohn’s disease
GEO Series GSE26305. Homo sapiens. 6 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.