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448 results for “Genomic selection”

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dryad36/100

Natural selection shapes variation in genome-wide recombination rate in Drosophila pseudoobscura

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publicMar 2020View details →
dryad36/100

Selection pressure analysis of dengue virus complete genome and E gene nucleotide sequences from Pakistan

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publicMay 2024View details →
dryad36/100

Natural selection drives genome-wide evolution via chance genetic associations

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publicOct 2021View details →
dryad36/100

Genome-phenotype-environment associations identify signatures of selection in a panmictic population of threespine stickleback

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publicJan 2023View details →
dryad36/100

Positive selection plays a major role in shaping signatures of differentiation across the genomic landscape of two independent Ficedula flycatcher species pairs

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publicApr 2021View details →
dryad36/100

Genomic evidence that a sexually selected trait captures genome-wide variation and facilitates the purging of genetic load

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publicMay 2022View details →
dryad36/100

Data from: Genome-wide scans reveal selection signatures and cross-population variation in South African and European beef cattle breeds

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publicMay 2024View details →
dryad36/100

Data from: Vive la résistance: genome-wide selection against introduced alleles in invasive hybrid zones

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publicOct 2016View details →
dryad36/100

Assessing population structure and genetic diversity in U.S. Suffolk sheep to define a framework for genomic selection

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publicJun 2022View details →
dryad36/100

Data and source code from: Contingency and selection in mitochondrial genome dynamics

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publicMay 2022View details →
dryad36/100

Data from: Strong selective effects of mitochondrial DNA on the nuclear genome

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publicMar 2020View details →
dryad36/100

Genomic prediction enables rapid selection of high-performing genets in an intermediate wheatgrass (Thinopyrum intermedium) breeding program

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publicMar 2021View details →
dryad36/100

Data and code associated with: Genomic responses to parallel selection in the eelgrass Zostera marina in adjacent bays

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publicMar 2023View details →
zenodo32/100

Datasets of "Whole genome sequencing of European autochthonous and commercial pig breeds provides selection signatures of adaptation of genetic resources to different breeding and production systems"

<p>Results of the F<sub>ST</sub> and H<sub>P</sub> analyses.</p>

opencc-by-4.0Dec 2019View details →
dryad32/100

Nucleotide alignments of eight meiosis genes under extreme selection following whole genome duplication in Arabidopsis lyrata/A.arenosa.

<p>In this study we performed a genotype-phenotype association analysis of meiotic stability in 10 autotetraploid <em>Arabidopsis lyrata</em> and <em>A</em>. <em>lyrata/A</em>. <em>arenosa</em> hybrid populations collected from the Wachau region and East Austrian Forealps. The aim was to determine the effect of eight meiosis genes under extreme selection upon adaptation to whole genome duplication. Individual plants were genotyped by high-throughput sequencing of the eight meiosis genes (<em>ASY1</em>, <em>ASY3</em>, <em>PDS5b</em>, <em>PRD3</em>, <em>REC8</em>, <em>SMC3</em>, <em>ZYP1a/b</em>) implicated in synaptonemal complex formation and phenotyped by assessing meiotic metaphase I chromosome configurations. Our results reveal that meiotic stability varied greatly (20–100%) between individual tetraploid plants and associated with segregation of a novel <em>ASYNAPSIS3</em> (<em>ASY3</em>) allele derived from <em>A</em>. <em>lyrata</em>. The <em>ASY3</em> allele that associates with meiotic stability possesses a putative in-frame tandem duplication (TD) of a serine-rich region upstream of the coiled-coil domain that appears to have arisen at sites of DNA microhomology. The frequency of multivalents observed in plants homozygous for the <em>ASY3 TD</em> haplotype was significantly lower than in plants heterozygous for <em>ASY3 TD/ND</em> (non-duplicated) haplotypes. The chiasma distribution was significantly altered in the stable plants compared to the unstable plants with a shift from proximal and interstitial to predominantly distal locations. The number of HEI10 foci at pachytene that mark class I crossovers was significantly reduced in a plant homozygous for <em>ASY3 TD</em> compared to a plant heterozygous for <em>ASY3 ND/TD</em>. Fifty-eight alleles of the 8 meiosis genes were identified from the 10 populations analysed, demonstrating dynamic population variability at these loci. Widespread chimerism between alleles originating from <em>A</em>. <em>lyrata/A</em>. <em>arenosa</em> and diploid/tetraploids indicates that this group of rapidly evolving genes may provide precise adaptive control over meiotic recombination in the tetraploids, the very process that gave rise to them.</p>

opencc-zeroJun 2020View details →
dryad32/100

Data from: Patterns of genomic divergence and signals of selection in sympatric and allopatric northeastern Pacific and Sea of Cortez populations of the sargo (Anisotremus davidsonii) and longjaw mudsucker (Gillichthys mirabilis)

<p><span><span>Studying how isolation can impact population divergence and adaptation in co-distributed species can bring us closer to understanding how landscapes affect biodiversity. The Sargo, </span><i><span>Anisotremus davidsonii </span></i><span>(Haemulidae), and the Longjaw mudsucker, </span><i><span>Gillichthys mirabilis </span></i><span>(Gobiidae), offer a notable framework to study such mechanisms as their Pacific populations cross phylogeographic breaks at Point Conception, California, USA, and Punta Eugenia, Mexico, and are separated to those in the Sea of Cortez by the Baja California peninsula. Here, thousands of loci are genotyped from 48 Sargos and 73 mudsuckers using RADseq to characterize overall genomic divergence, and search for common patterns of putatively neutral and non-neutral structure based on outlier loci among populations with hypothesized different levels of isolation.</span></span><span> </span><span><span>We further search for parallels between population divergence and the total proportion of outliers, outlier </span></span><span><span>F</span><sub><span>ST</span></sub></span><span><span> distribution, and </span></span><span><span>the proportion of outliers matching coding regions in GenBank. This dataset consists of demultiplexed sequence data from Sbf1 single digest RADseq analysis of poulations of both fish species throughout their distributions. </span></span></p>

opencc-zeroJun 2020View details →
dryad32/100

Tool for genomic selection and breeding to evolutionary adaptation: Development of a 100K single nucleotide polymorphism array for the honey bee

High-throughput high density genotyping arrays continue to be a fast, accurate, and cost-effective method for genotyping thousands of polymorphisms in high numbers of individuals. Here we have developed a new high-density SNP genotyping array (103 270 SNPs) for honey bees, one of the most ecologically and economically important pollinators worldwide. SNPs were detected by conducting whole genome resequencing of 61 honey bee drones (haploid males) from throughout Europe. Selection of SNPs for the chip was done in multiple steps using several criteria. The majority of SNPs were selected based on their location within known candidate regions or genes underlying a range of honey bee traits, including hygienic behaviour against pathogens, foraging and subspecies. Additionally, markers from a GWAS of hygienic behaviour against the major honey bee parasite Varroa destructor, were brought over. The chip also includes SNPs associated with each of three major breeding objectives - honey yield, gentleness and Varroa resistance. We validated the chip and make recommendations for its use by determining error rates in repeat genotypings, examining the genotyping performance of different tissues, and by testing how well different sample types represent the queen's genotype. The latter is a key test because it is highly beneficial to be able to determine the queen's genotype by non-lethal means. The array is now publicly available and we suggest it will be a useful tool in genomic selection and honey bee breeding, as well as for GWAS of different traits, and for population genomic, adaptation and conservation questions.

opencc-zeroSep 2021View details →
dryad32/100

Selection on a small genomic region underpins differentiation in multiple color traits between two warbler species

<p>Speciation is one of the most important processes in biology, yet the study of the genomic changes underlying this process is in its infancy. North American warbler species <i>Setophaga townsendi</i> and <i>S. occidentalis</i> hybridize in a stable hybrid zone, following a period of geographic separation. Genomic differentiation accumulated during geographic isolation can be homogenized by introgression at secondary contact, while genetic regions that cause low hybrid fitness can be shielded from such introgression. Here we examined the genomic underpinning of speciation by investigating: (1) the genetic basis of divergent pigmentation traits between species, (2) variation in differentiation across the genome, and (3) the evidence for selection maintaining differentiation in the pigmentation genes. Using tens of thousands of single nucleotide polymorphisms (SNPs) genotyped in hundreds of individuals within and near the hybrid zone, genome-wide association mapping revealed a single SNP associated with cheek, crown, breast coloration, and flank streaking, reflecting pleiotropy (one gene affecting multiple traits) or close physical linkage of different genes affecting different traits. This SNP is within an intron of the RALY gene, hence we refer to it as the RALY SNP. We then examined between-species genomic differentiation, using both genotyping-by-sequencing and whole genome sequencing. We found that the RALY SNP is within one of the highest peaks of differentiation, which contains three genes known to influence pigmentation: ASIP, EIF2S2, and RALY (the ASIP-RALY gene block). Heterozygotes at this gene block are likely of reduced fitness, as the geographic cline of the RALY SNP has been narrow over two decades. Together, these results reflect at least one barrier to gene flow within this narrow (~200kb) genomic region that modulates plumage difference between species. Despite extensive gene flow between species across the genome, this study provides evidence that selection on a phenotype-associated genomic region maintains a stable species boundary. </p>

opencc-zeroOct 2020View details →
dryad32/100

Data from: Signatures of selection and environmental adaptation across the goat genome post-domestication

<p>Background: Since goat was domesticated 10,000 years ago, many factors have contributed to the differentiation of goat breeds and these are classified mainly into two types: (i) adaptation to different breeding systems and/or purposes and (ii) adaptation to different environments. As a result, approximately 600 goat breeds have developed worldwide; they differ considerably from one another in terms of phenotypic characteristics and are adapted to a wide range of climatic conditions. In this work, we analyzed the AdaptMap goat dataset, which is composed of data from more than 3000 animals collected worldwide and genotyped with the CaprineSNP50 BeadChip. These animals were partitioned into groups based on geographical area, production uses, available records on solid coat color and environmental variables including the sampling geographical coordinates, to investigate the role of natural and/or artificial selection in shaping the genome of goat breeds.</p> <p>Results: Several signatures of selection on different chromosomal regions were detected across the different breeds, sub-geographical clusters, phenotypic and climatic groups. These regions contain genes that are involved in important biological processes, such as milk-, meat- or fiber-related production, coat color, glucose pathway, oxidative stress response, size, and circadian clock differences. Our results confirm previous findings in other species on adaptation to extreme environments and human purposes and provide new genes that could explain some of the differences between goat breeds according to their geographical distribution and adaptation to different environments.</p> <p>Conclusions: These analyses of signatures of selection provide a comprehensive first picture of the global domestication process and adaptation of goat breeds and highlight possible genes that may have contributed to the differentiation of this species worldwide.</p>

opencc-zeroDec 2017View details →
dryad32/100

Data from: Genome-wide analyses suggest parallel selection for universal traits may eclipse local environmental selection in a highly mobile carnivore

Ecological and environmental heterogeneity can produce genetic differentiation in highly mobile species. Accordingly, local adaptation may be expected across comparatively short distances in the presence of marked environmental gradients. Within the European continent, wolves (Canis lupus) exhibit distinct north–south population differentiation. We investigated more than 67-K single nucleotide polymorphism (SNP) loci for signatures of local adaptation in 59 unrelated wolves from four previously identified population clusters (northcentral Europe n = 32, Carpathian Mountains n = 7, Dinaric-Balkan n = 9, Ukrainian Steppe n = 11). Our analyses combined identification of outlier loci with findings from genome-wide association study of individual genomic profiles and 12 environmental variables. We identified 353 candidate SNP loci. We examined the SNP position and neighboring megabase (1 Mb, one million bases) regions in the dog (C. lupus familiaris) genome for genes potentially under selection, including homologue genes in other vertebrates. These regions included functional genes for, for example, temperature regulation that may indicate local adaptation and genes controlling for functions universally important for wolves, including olfaction, hearing, vision, and cognitive functions. We also observed strong outliers not associated with any of the investigated variables, which could suggest selective pressures associated with other unmeasured environmental variables and/or demographic factors. These patterns are further supported by the examination of spatial distributions of the SNPs associated with universally important traits, which typically show marked differences in allele frequencies among population clusters. Accordingly, parallel selection for features important to all wolves may eclipse local environmental selection and implies long-term separation among population clusters.

opencc-zeroDec 2014View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record