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3,584 results for “genomic analysis”
Insights into Mus musculus population structure across Eurasia revealed by whole-genome analysis
<p>For more than 100 years, house mice (Mus musculus) have been used as a key animal model in biomedical research. House mice are genetically diverse, yet their genetic background at the global level has not been fully understood. Previous studies suggested that they originated in South Asia and diverged into three major subspecies almost simultaneously, approximately 350,000–500,000 years ago; however, they have spread across the world with the migration of modern humans in prehistoric and historic times (∼10,000 years ago to present), and undergone secondary contact, which have complicated the genetic landscape of wild house mice. In this study, we sequenced the whole genomes of 98 wild house mice collected from Eurasia, particularly East Asia, Southeast Asia, and South Asia. We found that although wild house mice consist of three major genetic groups corresponding to the three major subspecies, individuals representing admixture between subspecies are much more ubiquitous than previously recognized. Furthermore, several samples showed an incongruent pattern of genealogies between mitochondrial and autosomal genomes. Using samples likely retaining the original genetic components of subspecies with least admixture, we estimated the pattern and timing of divergence among the subspecies. The results are important for understanding the genetic diversity of wild mice on a global level and the information will be particularly useful in future biomedical and evolutionary studies using laboratory mice established from these wild mice.</p>
Assemblies, associated annotation files, and analysis source data of Platanus x acerifloia genome
<p><em>Platanus</em> <span>× </span><em>acerifolia </em>(London plane; Platanaceae) is a major ornamental tree used worldwide. Platanaceae is one of the last early-diverging eudicot families without a complete nuclear genome assembly. Here, we assembled a high-quality, chromosome-level reference genome for <em>P.</em> <span>× </span><em>acerifolia.</em></p>
Chloroplast genome-based molecular baraminology analysis of Proteales
Open the record for dataset details and reuse information.
Supplementary Table 1: Twenty-seven Cronobacter spp. genomes belonging to seven Cronobacter species used for the wgMLST analysis and species definition
<p><span>Supplementary Table 1: Twenty-seven <em>Cronobacter</em> spp. genomes belonging to seven <em>Cronobacter</em> species used for the wgMLST analysis and species definition</span></p>
Comparative mitochondrial genome and phylogenetic analysis of malaria mosquitoes Anopheles hyrcanus and Anopheles messeae supplementary files
<p><strong>T</strong><strong><span>able</span></strong><strong> S1.</strong> This study encompassed 105 species, along with their corresponding taxonomy and GenBank registration numbers.</p> <p><strong>Figure S1</strong> Inferred secondary structures of tRNAs in the mt genome of <em>An. </em><em><span>h</span></em><em>yrcanus</em><em> </em><span>(A)</span><em> </em><span>and </span><em>An. </em><em><span>m</span></em><em>esseae</em><em> </em><span>(B)</span>, with corresponding amino acids labeled next to the tRNAs.</p>
FIGURE 3. Inferred phylogenetic relationship among 23 in The complete mitochondrial genome of the jumping grasshopper Sinopodisma pieli (Orthoptera: Acrididae) and the phylogenetic analysis of Melanoplinae
FIGURE 3. Inferred phylogenetic relationship among 23 taxa based on nucleotide sequences of mitochondrial 13 PCGs using Bayesian Inference (BI) (a) and maximum likelihood (ML) (b).
FIGURE 2. Predicted secondary structures for 22 in The complete mitochondrial genome of the jumping grasshopper Sinopodisma pieli (Orthoptera: Acrididae) and the phylogenetic analysis of Melanoplinae
FIGURE 2. Predicted secondary structures for 22 tRNA genes of the S. pieli mitogenome. The tRNAs are labeled with the abbreviations of their corresponding amino acids. The minus sign (-) indicates Watson-Crick base pairing and plus sign (.) indicates G-U base pairing.
Extended data for Manuscript: Introduction to Genomic Analysis Workshop: A catalyst for engaging life-science researchers in high throughput analysis
<p>This is the extended data for the manuscript submitted to F1000 Research titled:</p> <p><strong>Introduction to Genomic Analysis Workshop: A catalyst for engaging life-science researchers in high throughput analysis</strong></p> <p>The data provided includes redacted attendee data from a workshop, survey responses from an anonymous survey of participants, and a figure describing the overall workshop directory flow. </p>
FIGURE 1 in Genomic analysis of the tribe Emesidini (Lepidoptera: Riodinidae)
FIGURE 1. Phylogenetic trees constructed from protein-coding regions in a nuclear genomes, b Z-chromosome, and c mitochondrial genomes. The trees are rooted with Curetis bulis (Westwood, 1852) (NVG-7266 from Myanmar, see Table S1 for other data), not shown in the trees. Clades discussed in the text are colored.
Protocol for Genome-scale differential flux analysis (GS-FFA)
<p><span>Here, we introduce a genome-scale differential flux analysis (GS-DFA) protocol to interrogate the metabolic variances derived from condition-specific gene expression data. It includes scripts for normalizing the gene expression data and integrating it into the HumanGEM framework to create condition-specific models. Moreover, the protocol includes the script for analyzing genome-scale differential flux across the biochemical network, employing condition-specific models. This analytical phase bridges RNA-Seq data with cellular insights, elucidating altered metabolic activities across diverse conditions. The insights can offer valuable perspectives into the intricate metabolic disturbances that play a pivotal role in cellular homeostasis.</span></p>
Supporting data for: A comparative analysis of planarian genomes reveals regulatory conservation in the face of rapid structural divergence
<p>This upload contains genome assemblies and annotation files for four planarian species. </p> <h2>Genome assemblies</h2> <p>The genome assemblies are deposited as FASTA files with the ending '.fa.gz'.</p> <h2>Genome annotations</h2> <p>The genome annotations are deposited as gff3 files and contain the 'ENCODE' keyword.</p> <p>Integration into Wormbase are currently ongoing to provide userfriendly access.</p> <h2>Transposable element annotation</h2> <p>Transposable element annotation performed with the EDTA pipeline are deposited as GFF3 files with the file ending '.EDTA.TEanno.gff3.gz'.</p> <h2>Satellite DNA</h2> <p>Repetitive satellite regions annotated using RepeatExplorer and SRF are deposited as GFF3 files with the ending 'satDNA.gff3'.</p>
Data from: Genomic analysis reveals depression due to both individual and maternal inbreeding in a free-living mammal population
There is ample evidence for inbreeding depression manifested as a reduction in fitness or fitness-related traits in the focal individual. In many organisms, fitness is not only affected by genes carried by the individual, but also by genes carried by their parents, for example if receiving parental care. While maternal effects have been described in many systems, the extent to which inbreeding affects fitness directly through the focal individual, or indirectly through the inbreeding coefficients of its parents, has rarely been examined jointly. The Soay sheep study population is an excellent system in which to test for both effects, as lambs receive extended maternal care. Here, we tested for both maternal and individual inbreeding depression in three fitness-related traits (birthweight and weight and hindleg length at 4 months of age) and three fitness components (first-year survival, adult annual survival and annual breeding success), using either pedigree-derived inbreeding or genomic estimators calculated using ~37 000 SNP markers. We found evidence for inbreeding depression in 4-month hindleg and weight, first-year survival in males, and annual survival and breeding success in adults. Maternal inbreeding was found to depress both birthweight and 4-month weight. We detected more instances of significant inbreeding depression using genomic estimators than the pedigree, which is partly explained through the increased sample sizes available. In conclusion, our results highlight that cross-generational inbreeding effects warrant further exploration in species with parental care and that modern genomic tools can be used successfully instead of, or alongside, pedigrees in natural populations.
Data from: Adaptive divergence despite strong genetic drift: genomic analysis of the evolutionary mechanisms causing genetic differentiation in the island fox (Urocyon littoralis)
The evolutionary mechanisms generating the tremendous biodiversity of islands have long fascinated evolutionary biologists. Genetic drift and divergent selection are predicted to be strong on islands and both could drive population divergence and speciation. Alternatively, strong genetic drift may preclude adaptation. We conducted a genomic analysis to test the roles of genetic drift and divergent selection in causing genetic differentiation among populations of the island fox (Urocyon littoralis). This species consists of six subspecies, each of which occupies a different California Channel Island. Analysis of 5293 SNP loci generated using Restriction-site Associated DNA (RAD) sequencing found support for genetic drift as the dominant evolutionary mechanism driving population divergence among island fox populations. In particular, populations had exceptionally low genetic variation, small Ne (range = 2.1–89.7; median = 19.4), and significant genetic signatures of bottlenecks. Moreover, islands with the lowest genetic variation (and, by inference, the strongest historical genetic drift) were most genetically differentiated from mainland grey foxes, and vice versa, indicating genetic drift drives genome-wide divergence. Nonetheless, outlier tests identified 3.6–6.6% of loci as high FST outliers, suggesting that despite strong genetic drift, divergent selection contributes to population divergence. Patterns of similarity among populations based on high FST outliers mirrored patterns based on morphology, providing additional evidence that outliers reflect adaptive divergence. Extremely low genetic variation and small Ne in some island fox populations, particularly on San Nicolas Island, suggest that they may be vulnerable to fixation of deleterious alleles, decreased fitness and reduced adaptive potential.
Data from: Genomic analysis of a migratory divide reveals candidate genes for migration and implicates selective sweeps in generating islands of differentiation
Differential gene flow, reductions in diversity following linked selection and/or features of the genome can structure patterns of genomic differentiation during the process of speciation. Possible sources of reproductive isolation are well studied between coastal and inland subspecies groups of Swainson's thrushes, with differences in seasonal migratory behaviour likely playing a key role in reducing hybrid fitness. We assembled and annotated a draft reference genome for this species and generated whole-genome shotgun sequence data for populations adjacent to the hybrid zone between these groups. We documented substantial genomewide heterogeneity in relative estimates of genetic differentiation between the groups. Within population diversity was lower in areas of high relative differentiation, supporting a role for selective sweeps in generating this pattern. Absolute genetic differentiation was reduced in these areas, further suggesting that recurrent selective sweeps in the ancestral population and/or between divergent populations following secondary contact likely occurred. Relative genetic differentiation was also higher near centromeres and on the Z chromosome, suggesting that features of the genome also contribute to genomewide heterogeneity. Genes linked to migratory traits were concentrated in islands of differentiation, supporting previous suggestions that seasonal migration is under divergent selection between Swainson's thrushes. Differences in migratory behaviour likely play a central role in the speciation of many taxa; we developed the infrastructure here to permit future investigations into the role several candidate genes play in reducing gene flow between not only Swainson's thrushes but other species as well.
Data from: Whole genome sequencing and rare variant analysis in essential tremor families
Essential tremor (ET) is one of the most common movement disorders. The etiology of ET remains largely unexplained. Whole genome sequencing (WGS) is likely to be of value in understanding a large proportion of ET with Mendelian and complex disease inheritance patterns. In ET families with Mendelian inheritance patterns, WGS may lead to gene identification where WES analysis failed to identify the causative single nucleotide variant (SNV) or indel due to incomplete coverage of the entire coding region of the genome, in addition to accurate detection of larger structural variants (SVs) and copy number variants (CNVs). Alternatively, in ET families with complex disease inheritance patterns with gene x gene and gene x environment interactions enrichment of functional rare coding and non-coding variants may explain the heritability of ET. We performed WGS in eight ET families (n=40 individuals) enrolled in the Family Study of Essential Tremor. The analysis included filtering WGS data based on allele frequency in population databases, rare SNV and indel classification and association testing using the Mixed-Model Kernel Based Adaptive Cluster (MM-KBAC) test. A separate analysis of rare SV and CNVs segregating within ET families was also performed. Prioritization of candidate genes identified within families was performed using phenolyzer. WGS analysis identified candidate genes for ET in 5/8 (62.5%) of the families analyzed. WES analysis in a subset of these families in our previously published study failed to identify candidate genes. In one family, we identified a deleterious and damaging variant (c.1367G>A, p.(Arg456Gln)) in the candidate gene, CACNA1G, which encodes the pore forming subunit of T-type Ca(2+) channels, CaV3.1, and is expressed in various motor pathways and has been previously implicated in neuronal autorhythmicity and ET. Other candidate genes identified include SLIT3 which encodes an axon guidance molecule and in three families, phenolyzer prioritized genes that are associated with hereditary neuropathies (family A, KARS, family B, KIF5A and family F, NTRK1). Functional studies of CACNA1G and SLIT3 suggest a role for these genes in ET disease pathogenesis.
Competitiveness prediction for nodule colonization in Sinorhizobium meliloti through combined in vitro tagged strain characterization and genome-wide association analysis
<p>Associations between leguminous plants and symbiotic nitrogen-fixing rhizobia are a classic example of mutualism between a eukaryotic host and a specific group of prokaryotic microbes. Although this symbiosis is in part species-specific, different rhizobial strains may colonise the same nodule. Some rhizobial strains are commonly known as better competitors than others, but detailed analyses that aim to predict rhizobial competitive abilities based on genomes are still scarce. Here, we performed a bacterial <em>genome-wide association (GWAS) analysis to define the </em>genomic determinants related to the competitive capabilities in the model rhizobial species <em>Sinorhizobium meliloti.</em> For this, 13 tester strains were GFP-tagged and assayed <i>vs.</i> 3 RFP-tagged reference competitor strains (<em>Rm1021, AK83, and BL225C) in a</em> <i>Medicago sativa</i> nodule occupancy test. Competition data and strain genomic sequences were employed to build a model for GWAS based on <i>k</i>-mers. Among the <i>k</i>-mers with the highest scores, 51 <i>k</i>-mers mapped on the genomes of four strains showing the highest competition phenotypes (> 60% single strain nodule occupancy; GR4, KH35c, KH46 and SM11) <i>vs.</i> BL225C. These <i>k</i>-mers were mainly located on the symbiosis-related megaplasmid pSymA, specifically on genes coding for transporters, proteins involved in the biosynthesis of cofactors and proteins related to metabolism (e.g., fatty acids). The same analysis was performed considering the sum of single and mixed nodules obtained in the competition assays <em>vs. </em>BL225C, retrieving <i>k</i>-mers mapped on the genes previously found and on <i>vir</i> genes. Therefore, the competition abilities seem to be linked to multiple genetic determinants and comprise several cellular components.</p>
Comparative Analysis of Complete Chloroplast Genomes and Multiple DNA Sequences Reveals Interspecific Relationships of C. bretschneideri and Related Species in China
<p><strong> ITS, and <em>LEAFY</em> intron 1 sequencing of 36 Crataegus accessions.</strong></p>
Figure 1 in The complete mitochondrial genome of the Chinese Sika deer (Cervus nippon Temminck, 1838), and phylogenetic analysis among Cervidae, Moschidae and Bovidae
Figure 1. Molecular phylogenetic tree derived from complete DNA sequence of 12 mitochondrial protein-coding genes using Bayesian inference and maximum parsimony analysis. The numbers beside the nodes are Bayesian posterior probabilities and bootstrap proportions. Equus asinus and Equus caballus were set as out-groups.
Figure 1 in The complete mitochondrial genome and phylogenetic analysis of forest musk deer (Moschus berezovskii)
Figure 1. Phylogenetic relationships by partitioned Bayesian and maximum parsimony (MP) methods of selected Cetartiodactyla taxa as inferred from 12 heavy-strand protein-coding genes (A), RNA genes (B), and their combination (C). Values above branches represent the posterior probabilities of Bayesian analysis and bootstrap values with 1000 replicates for the MP method. No numbers above a branch indicate that Bayesian posterior probability,0.95 and MP bootstrap values are,50.
FIGURE 2 in Transfer of the marine red alga Erythrocystis saccata (Rhodomelaceae, Rhodophyta) to the tribe Streblocladieae inferred from organellar genome analysis
FIGURE 2. RAxML phylogram of the complete plastid genome of Erythrocystis saccata (GenBank Accession MW810349) and representative Rhodomelaceae. Numbers along the branches are rapid bootstrap support values based on 1,000 replicates. The legend below represents the scale for nucleotide substitutions.
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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.