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622 results for “Genomic integrity”
VCF files and regression analyses for: Assessing fine-scale pondscape connectivity with amphibian eyes: an integrative approach using genomic and capture-mark-recapture data
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Integration of genomic and ecologic methods inform management of an undescribed, yet highly exploited, sardine species
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Data from: Genomic integrity of Phyciodes butterfly species in a region of contact (Lepidoptera: Nymphalidae)
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Data from: Integrating Bayesian genomic cline analyses and association mapping of morphological and ecological traits to dissect reproductive isolation and introgression in a Louisiana Iris hybrid zone
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Recent speciation and hybridization in Icelandic deep-sea isopods: An integrative approach using genomics and proteomics.
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Data and code from: Integrating genomics, collections, and community science to delimit species clarifies the taxonomy of a variable monitor lizard (<em>Varanus tristis</em>)
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Data from: Integrative genomic analysis in African American children with asthma finds 3 novel loci associated with lung function
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Supplemental data for: Type genomics: a framework for integrating genomic data into biodiversity and taxonomic research
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Data from: Chromosome-level genome assembly of a cyprinid fish Onychostoma macrolepis by integration of Nanopore Sequencing, Bionano and Hi-C technology
<p><i>Onychostoma macrolepis</i> is an emerging commercial cyprinid fish species. It is a model system for studies of sexual dimorphism and genome evolution. Here, we report the chromosome-level assembly of the<i> O.macrolepis</i> genome obtained from the integration of Nanopore long-read sequencing with physical maps produced using Bionano and Hi-C technology. A total of 87.9 Gb of Nanopore sequence provided approximately 100-fold coverage of the genome. The preliminary genome assembly was 883.2 Mb in size with a contig N50 size of 11.2 Mb. The 969 corrected contigs obtained from Bionano optical mapping were assembled into 853 scaffolds and produced an assembly of 886.5 Mb with a scaffold N50 of 16.5 Mb. Finally, using the Hi-C data, 881.3 Mb (99.4% of genome) in 526 scaffolds were anchored and oriented in 25 chromosomes ranging in size from 25.27 to 56.49 Mb. In total, 24,770 protein-coding genes were predicted in the genome, and ~96.85% of the genes were functionally annotated. The annotated assembly contains 93.3% complete genes from the BUSCO reference set. In addition, we identified 409 Mb (46.23% of the genome) of repetitive sequence, and 11,213 non-coding RNAs, in the genome. Evolutionary analysis revealed that <i>O.macrolepis</i> diverged from common carp approximately 24.25 million years ago. The chromosomes of <i>O.macrolepis</i> showed an unambiguous correspondence to the chromosomes of zebrafish. The high-quality genome assembled in this work provides a valuable genomic resource for further biological and evolutionary studies of <i>O. macrolepis</i>.</p>
Integrative genomic phylogeography reveals signs of mitonuclear incompatibility in a natural hybrid goby population
<p>Hybridization between divergent lineages generates new allelic combinations. One mechanism that can hinder the formation of hybrid populations is mitonuclear incompatibility, i.e. dysfunctional interactions between proteins encoded on the nuclear and mitochondrial genomes (mitogenomes) of diverged lineages. Theoretically, selective pressure due to mitonuclear incompatibility can affect genotypes in a hybrid population in which nuclear genomes and mitogenomes from divergent lineages admix. To directly and thoroughly observe this key process, we <i>de novo</i> sequenced the 747 Mb genome of the coastal goby, <i>Chaenogobius annularis</i>, and investigated its integrative genomic phylogeographics using RNA‐sequencing, RAD‐sequencing, genome re‐sequencing, whole mitogenome sequencing, amplicon‐sequencing, and small RNA‐sequencing. <i>Chaenogobius annularis</i> populations have been geographically separated into Pacific Ocean (PO) and Sea of Japan (SJ) lineages by past isolation events around the Japanese archipelago. Despite the divergence history and potential mitonuclear incompatibility between these lineages, the mitogenomes of the PO and SJ lineages have coexisted for generations in a hybrid population on the Sanriku Coast. Our analyses revealed accumulation of nonsynonymous substitutions in the PO‐lineage mitogenomes, including two convergent substitutions, as well as signals of mitochondrial lineage‐specific selection on mitochondria‐related nuclear genes. Finally, our data implied that a microRNA gene was involved in resolving mitonuclear incompatibility. Our integrative genomic phylogeographic approach revealed that mitonuclear incompatibility can affect genome evolution in a natural hybrid population.</p>
An integrated genomic approach identifies HOXC8 as an upstream regulator in ovarian endometrioma
<p><span><b>Purpose</b>: To identify the upstream regulators (URs) involved in the onset and pathogenesis of ovarian endometrioma.</span></p> <p><span><b>Methods</b>: Recently, a method called SMITE that uses transcriptome data in combination with publicly available data for identifying URs of cellular processes has been developed. Here, we used SMITE with transcriptome data from ovarian endometrioma stromal cells (ovESCs) and eutopic endometrium stromal cells (euESCs) in combination with publicly available gene regulatory network data. To confirm the URs identified by SMITE, we developed a Boolean network simulation to see if correcting aberrant expressions of the identified genes could restore the entire gene expression profile of ovESCs to a profile similar to that of euESCs. We then established euESCs overexpressing the identified gene and characterized them by cell function assays and transcriptome analysis.</span></p> <p><span><b>Results</b>: SMITE identified 12 potential URs in ovarian endometrioma that were confirmed by the Boolean simulation. One of the URs, HOXC8, was confirmed to be overexpressed in ovESCs. HOXC8 overexpression significantly enhanced cell proliferation, migration, adhesion, and fibrotic activities, and altered expression statuses of the genes involved in TGF-ß signaling. HOXC8 overexpression also increased the expression levels of phosphorylated SMAD2/SMAD3. The increased adhesion and fibrosis activities by HOXC8 were significantly inhibited by E-616452, a selective inhibitor of TGF-ß receptor type I kinases. </span></p> <p><span><b>Main Conclusions</b>: Integrated genomic approaches identified HOXC8 as an UR in ovarian endometrioma. The pathological features of ovarian endometrioma including cell proliferation, adhesion, and fibrosis were induced by HOXC8 and its subsequent activation of TGF-ß signaling.</span></p>
Integrated spatial genomics dataset
<p>Supplementary processed data. The raw microscopy data are not uploaded owing to their large size (2.9 Tb), but are available upon reasonable request (Long Cai: lcai@caltech.edu).</p> <p>These supplementary processed data contain additional files for RNA seqFISH, DNA seqFISH+ and sequential immunofluorescence.</p> <p>DNAseqFISH+.zip contains DNA seqFISH+ pixel locations for 3,600 loci in single cells (pixel sizes are 103 nm for x and y, and 250 nm for z). Please refer to Supplementary Table 1 at the journal website for genomic coordinates of the targeted loci.</p> <p>RNA seqFISH.zip contains RNA seqFISH expression profiles for mRNAs and introns in single cells. Intron data also contain pixel coordinates for intron spot locations. Cells were filtered out if keep1 column is 0 due to the laser illumination bias.</p> <p>Excel file contains additional information for sequential immunofluorescence experiments. The file contains target names with corresponding hybridization cycle round and fluorescent channel information per each experiment.</p> <p>Zip files for IF binned data contain IF intensity information in each pixel coordinate (either bin1 or bin2). Please refer to the included excel file to match each target to each hybridization and fluorescent channel.</p>
Data from: Contrasting patterns of population connectivity between regions in a commercially important mollusc Haliotis rubra: integrating population genetics, genomics and marine LiDAR data
Estimating contemporary genetic structure and population connectivity in marine species is challenging, often compromised by genetic markers that lack adequate sensitivity, and unstructured sampling regimes. We show how these limitations can be overcome via the integration of modern genotyping methods and sampling designs guided by LiDAR and SONAR data sets. Here we explore patterns of gene flow and local genetic structure in a commercially harvested abalone species (Haliotis rubra) from southeastern Australia, where the viability of fishing stocks is believed to be dictated by recruitment from local sources. Using a panel of microsatellite and genomewide SNP markers, we compare allele frequencies across a replicated hierarchical sampling area guided by bathymetric LiDAR imagery. Results indicate high levels of gene flow and no significant genetic structure within or between benthic reef habitats across 1400 km of coastline. These findings differ to those reported for other regions of the fishery indicating that larval supply is likely to be spatially variable, with implications for management and long-term recovery from stock depletion. The study highlights the utility of suitably designed genetic markers and spatially informed sampling strategies for gaining insights into recruitment patterns in benthic marine species, assisting in conservation planning and sustainable management of fisheries.
Data from: Integration of Random Forest with population-based outlier analyses provides insight on the genomic basis and evolution of run timing in Chinook salmon (Oncorhynchus tshawytscha)
Anadromous Chinook salmon populations vary in the period of river entry at the initiation of adult freshwater migration, facilitating optimal arrival at natal spawning. Run timing is a polygenic trait that shows evidence of rapid parallel evolution in some lineages, signifying a key role for this phenotype in the ecological divergence between populations. Studying the genetic basis of local adaptation in quantitative traits is often impractical in wild populations. Therefore, we used a novel approach, Random Forest, to detect markers linked to run timing across 14 populations from contrasting environments in the Columbia River and Puget Sound, USA. The approach permits detection of loci of small effect on the phenotype. Divergence between populations at these loci was then examined using both principle component analysis and FST outlier analyses, to determine whether shared genetic changes resulted in similar phenotypes across different lineages. Sequencing of 9107 RAD markers in 414 individuals identified 33 predictor loci explaining 79.2% of trait variance. Discriminant analysis of principal components of the predictors revealed both shared and unique evolutionary pathways in the trait across different lineages, characterized by minor allele frequency changes. However, genome mapping of predictor loci also identified positional overlap with two genomic outlier regions, consistent with selection on loci of large effect. Therefore, the results suggest selective sweeps on few loci and minor changes in loci that were detected by this study. Use of a polygenic framework has provided initial insight into how divergence in a trait has occurred in the wild.
Data from: Integrating phylogenomic and population genomic patterns in avian lice provides a more complete picture of parasite evolution
Parasite diversity accounts for most of the biodiversity on earth, and is shaped by many processes (e.g. cospeciation, host-switching). To identify the effects of the processes that shape parasite diversity, it is ideal to incorporate both deep (phylogenetic) and shallow (population) perspectives. To this end, we developed a novel workflow to obtain phylogenetic and population genetic data from whole genome sequences of body lice parasitizing New World ground-doves. Phylogenies from these data showed consistent, highly resolved species-level relationships for the lice. By comparing the louse and ground-dove phylogenies, we found that over long-term evolutionary scales their phylogenies were largely congruent. Many louse lineages (both species and populations) also demonstrated high host-specificity, suggesting ground-dove divergence is a primary driver of their parasites' diversity. However, the few louse taxa that are generalists are structured according to biogeography at the population level. This suggests dispersal among sympatric hosts has some effect on body louse diversity, but over deeper time scales the parasites eventually sort according to host species. Overall, our results demonstrate that multiple factors explain the patterns of diversity in this group of parasites, and that the effects of these factors can vary over different evolutionary scales. The integrative approach we employed was crucial for uncovering these patterns, and should be broadly applicable to other studies.
Data from: Integrated genome-scale analysis identifies novel genes and networks underlying senescence in maize
Premature senescence in annual crops reduces yield while delayed senescence, termed stay-green, is known to impose both positive and negative impact on yield and nutrition quality. Despite the importance, scant information is available on the genetic architecture of senescence in maize (Zea mays L.) and other cereals. We combined a systematic characterization of natural diversity for senescence in maize and co-expression networks derived from transcriptome analysis of normally senescing and stay-green lines. Sixty-four candidate genes were identified by GWAS, and 14 of these are supported by additional evidence for involvement in senescence-related processes including proteolysis, sugar transport and signaling, and sink activity. Eight of the GWAS candidates, independently supported by a co-expression network underlying stay-green, include a trehalose-6-phosphate synthase, a NAC transcription factor, and two xylan biosynthetic enzymes. Source-sink communication and the activity of cell walls as a secondary sink emerge as key determinants of stay-green. Mutant analysis supports the role of a candidate encoding cysteine protease in stay-green in Arabidopsis (Arabidopsis thaliana), and analysis of natural alleles suggest a similar role in maize. This study provides a foundation for enhanced understanding and manipulation of senescence for increasing carbon yield, nutritional quality, and stress tolerance of maize and other cereals.
"interactive" version of data associated with the eLife paper "Integrative genomic analysis of the human immune response to influenza vaccination"
This archive contains an "interactive" version of data associated with the eLife paper "Integrative genomic analysis of the human immune response to influenza vaccination" by Luis M Franco, Kristine L Bucasas, Janet M Wells, Diane Niño, Xueqing Wang, Gladys E Zapata, Nancy Arden, Alexander Renwick, Peng Yu, John M Quarles, Molly S Bray, Robert B Couch, John W Belmont, Chad A Shaw http://dx.doi.org/10.7554/eLife.00299 (doi:10.7554/eLife.00299) Installation: (1) Download the rar file, link available from the paper. (2) Unrar the file: Mac OS X: Use UnRarX - http://www.unrarx.com Linux : unrar command - http://en.wikipedia.org/wiki/Unrar (3) Open the file "vaxgenomics.htm" in your favorite browser use File>Open : Once opened in your browser, you should see a "Circos"-style circular plot of the data, and links to the tables and figures used in this application. Each table includes a link-out from GeneID to the Entrez entry for that Gene as well as additional links to the data. The link to Entrez requires access to NCBI, so will only work if you have Internet availability for this to work. All other links point to content contained within the application/archive. (4) Figures: High-resolution copies of the figures included in the paper. Fig 1: eQTL profile of flu vaccination response. Markers associated with cis gene expression identified in the discovery cohort were replicated in a vaidation cohort and -log10 p-values for both data sets are shown in the genome wide circularized graphic. Fig 2: Effect of the treatment on eQTL assocation. We observed that the pattern of association between gene expression and SNP changed over time after vaccination. Panel A of this figure shows this phenomena for a single gene NECAB2. Panel B shows the aggregate character of this phenomena across large numbers of markers. The change in R2 compared to the initial time point is depicted; this change in R squared appears to correspond to an increase the magnitude of the slope (additive association with genotype). Fig 3: Pathways and processes identified as enriched in our candidates. Both Ingenuity IPA Analysis and GO and KEGG pathway databases were used. Heavily implicated immunologic response classes are repsresented. Fig 4: Human immune response as measured by our Antibody Response scores are correlated with gene expression changes, and these patterns are recapituoated in discovery and validation (male/female) cohorts. Fig 5: Immune cellular context of the genes identifeies in our eQTL and immune response analysis. A striking number of our validated genes occuue in the antigen processing and presentatio pnthway. Fig 6: Q-Q plot depicting that the strength of association between genotype and phenotype (titer response) is stronger for markers that have a SNP association with expression and where expression is associated with titer response than would be expected for random SNPs. Fig 7: Causal and Reactive Model Analyses. Three-way association between genotype, expression and trait. Our data are more consistent with a causal relationship compared to reactive, but the results are not definitive. We explored the sample size necessary to investigate this in the supplement. Fig 8: Diagram demonstrating the experimental design of this study. Fig 9: Population structure analysis performed on our cohort using the genome wide SNP data confirms the European ancestry and ethnic homogeoneity of our ty sample Fig 10: Schematic of the eQTL analysis. The time course of gene expression change is integrated with a single model considering effects of Day, Genotype, Day-Genotype interaction and random effects for each individual to account for the longitudinal nature of the design. email: cashaw@bcm.edu with questions or comments.
CRISPR-Cas12a-integrated transgenes in genomic safe harbors retain high expression in human hematopoietic iPSC-derived lineages and primary cells
<p>We identified and characterized potential integration safe harbor sites (SHS) in human cells. Using the CRISPR-MAD7 system, we integrated transgenes at these genomic sites in iPSC, primary T and NK cells, and Jurkat cell line, and demonstrated efficient and stable expression at these loci. Subsequently, we validated the differentiation capabilities of engineered iPSC towards CD34+ hematopoietic stem and progenitor cells (HSPC), lymphoid progenitors (LPC), and natural killer (NK) cells, and showed that transgene expression was retained in these lineages. </p>
Integrative genomics reveals the polygenic basis of seedless in grapevine (Vitis vinifera L.)
<p>The publicly accessible genome data comprises:</p> <p>1) Haplotype genomes of 'Thompson Seedless' (TS) and 'Black Monukka' (BM) (.fa files) along with annotations (.gff files),</p> <p>2) Cytoplasmic genomes (mitochondria and chloroplasts),</p> <p>3) Annotations for tandem repeats,</p> <p>4) EDTA annotations (available at https://github.com/oushujun/EDTA),</p> <p>5) panTE (Transposable element) annotations (available at https://github.com/unavailable-2374/TE_Detective-Annotation).</p> <p>Additionally,</p> <p>6) Several genomes, such as 'Cabernet Sauvignon', 'Black Corinth Seedless', and 'Black Corinth Seeded', were restructured based on PN_T2T genome similarity using RagTag (https://github.com/malonge/RagTag).</p> <p>Among these resources,</p> <p>7) The 'Cabernet Sauvignon' genome was annotated using PN_T2T annotation through Liftoff (https://github.com/agshumate/Liftoff), and it maintains consistent gene IDs between the 'Cabernet Sauvignon' genome and PN_T2T.</p> <p>Furthermore, we have retained the original data for the protein files of 'Black Corinth Seedless' and 'Black Corinth Seeded'.<br> <br> If you have any questions, please let me know: 571720850@qq.com</p>
Fig. 3 in Genomic integrity of Phyciodes butterfly species in a region of contact (Lepidoptera: Nymphalidae)
Fig. 3. Principal component analysis of 1,477 SNPs for 152 individuals. (A) The first two dimensions show P. pulchella as the most genetically distinct, with P. batesii intermediate between P. cocyta and P. pulchella. Two potential F1 hybrid individuals each appear between their likely parental species. (B) The third dimension shows P. batesii as genetically distinct from the other 3 species.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.