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19,342 results for “sequence”
BRAVO target sequence capture V3
<p>This data set contains the bait sequences for a sequence capture library targeting specific genes in Brassica ssp.. Source sequences have been manually selected and processed with BaitLibraryBuilder (<a href="https://github.com/steuernb/BaitLibraryBuilder">https://github.com/steuernb/BaitLibraryBuilder</a>).</p>
Multiple sequence alignments of full-length L1 elements with evidence of retrotransposition activity.
<p>DNA sequences for full-length L1 elements showing evidence of retrotransposition activity were aligned using MUSCLE v3.8 with default number of iterations. Manual inspection of the multiple alignments was performed with Jalview v2.11 in order to remove upstream and downstream spurious sequences.</p> <ul> <li><em>selected_active_L1sOK_aligned_trimmed.fa</em> file includes aligned DNA sequences for 86 full-length L1Hs with medium-high activity and for 1 active L1Pt (outgroup).</li> <li><em> all_active_L1sOK_aligned_trimmed.fa</em> file includes aligned DNA sequences for 143 active L1Hs and for 1 active L1Pt (outgroup).</li> </ul>
The complete genome sequence and comparative genomic analyses of four phages (NJ-P3, NB-P21, NC-P34 and NN-P42)
<p>We downloaded and reanalyzed the raw data of four phages genomes (NJ-P3, NB-P21, NC-P34, NN-P42). This is the reassembled whole genomes and comparative genomic analyses of four phages.</p>
List of specimens, collection numbers, localities, and GenBank accessions of sequences. The neotype of Scinax x‑signatus is underlined. New sequences produced for this study are in bold. Abbreviations are as follow. Countries: ARG = Argentina, BOL = Bolivia, BRA = Brazil, GUF = French Guiana, GUY = Guyana, MTQ = Martinique, PER = Peru, SUR = Suriname; Brazilian states: AP = Amapá, BA = Bahia, CE = Ceará, ES = Espírito Santo, MA = Maranhão, MG = Minas Gerais, PE = Pernambuco, RJ = Rio de Janeiro, RS = Rio Grande do Sul, SP = São Paulo. An asterisk (*) indicates approximate coordinates taken from Google Earth. in A neotype for Hyla x-signata Spix, 1824 (Amphibia, Anura, Hylidae)
List of specimens, collection numbers, localities, and GenBank accessions of sequences. The neotype of Scinax x‑signatus is underlined. New sequences produced for this study are in bold. Abbreviations are as follow. Countries: ARG = Argentina, BOL = Bolivia, BRA = Brazil, GUF = French Guiana, GUY = Guyana, MTQ = Martinique, PER = Peru, SUR = Suriname; Brazilian states: AP = Amapá, BA = Bahia, CE = Ceará, ES = Espírito Santo, MA = Maranhão, MG = Minas Gerais, PE = Pernambuco, RJ = Rio de Janeiro, RS = Rio Grande do Sul, SP = São Paulo. An asterisk (*) indicates approximate coordinates taken from Google Earth.
Paired human macrophage RNA sequencing data
<p>Allele-specific expression (ASE) analysis, which quantifies the relative expression of two alleles in a diploid individual, is a powerful tool for identifying <em>cis</em>-regulated gene expression variations that underlie phenotypic differences among individuals. Existing methods for gene-level ASE detection analyze one individual at a time, therefore failing to account for shared information across individuals. Failure to accommodate such shared information not only reduces power, but also makes it difficult to interpret results across individuals. However, when only RNA sequencing (RNA-seq) data are available, ASE detection across individuals is challenging because the data often include individuals that are either heterozygous or homozygous for the unobserved <em>cis</em>-regulatory SNP, leading to sample heterogeneity as only those heterozygous individuals are informative for ASE, whereas those homozygous individuals have balanced expression. To simultaneously model multi-individual information and account for such heterogeneity, we developed ASEP, a mixture model with subject-specific random effect to account for multi-SNP correlations within the same gene. ASEP only requires RNA-seq data, and is able to detect gene-level ASE under one condition and differential ASE between two conditions (e.g., pre- versus post- treatment). Extensive simulations demonstrated the convincing performance of ASEP under a wide range of scenarios. We applied ASEP to a human kidney RNA-seq dataset, identified ASE genes and validated our results with two published eQTL studies. We further applied ASEP to a human macrophage RNA-seq dataset, identified genes showing evidence of differential ASE between M0 and M1 macrophages, and confirmed our findings by results from cardiometabolic trait-relevant genome-wide association studies. To the best of our knowledge, ASEP is the first method for gene-level ASE detection at the population level that only requires the use of RNA-seq data. With the growing adoption of RNA-seq, we believe ASEP will be well-suited for various ASE studies for human diseases.</p>
Two leaves that cannot die: the genome sequence of Welwitschia mirabilis reveals its unique biology and evolutionary history
<p>Welwitschia mirabilis (hereafter Welwitschia), the sole species in Welwitschiales, belongs to gnetophytes, an ancient, enigmatic gymnosperm lineage. It is a strikingly bizarre plant with distinctive morphology of just two large ever-elongating leaves and is remarkable in being able to survive extreme environmental stresses of the Namibian and Angolan deserts. Here, we provide a chromosome-level assembly of its genome (6.8 Gb/1C) and extensive methylome and transcriptome data to reveal the genetics underpinning its intriguing biology. The Welwitschia genome has been shaped by a lineage-specific ancient whole genome duplication ~ 86 million years ago, and more recently (within 10 million years) by bursts of retrotransposon activity. In addition, high levels of cytosine methylation, extremely so for CHH motifs, are associated with retrotransposons, whilst their long-term deamination has resulted in an exceptionally GC-poor genome. High levels of methylation are likely to be responses to maintain genomic integrity in the face of stress-induced retroelement mobility while reduced GC content will confer a genomic advantage under nutrient limitation. Changes in the copy number and/or expression of key gene families and specific transcription factors (e.g. R2R3MYB, SAUR) controlling cell growth, differentiation and metabolism underpin the plant's extreme longevity under increasing temperature, nutrient and water stress. The Welwitschia chromosome level assembly here, along with a new high-quality assembly for Gnetum montanum, enhances our understanding of genome evolution in gnetophytes. It also provides critical new insights into the extraordinary development of Welwitschia's ever-growing leaves, enabling its survival in such hostile conditions.</p>
Sequence-structure-function relationships in class I MHC: a local frustration perspective
<p>Class I Major Histocompatibility Complex (MHC) binds short antigenic peptides with the help of Peptide Loading Complex (PLC), and presents them to T-cell Receptors (TCRs) of cytotoxic T-cells and Killer-cell Immunglobulin-like Receptors (KIRs) of Natural Killer (NK) cells. With more than 10000 alleles, the Human Leukocyte Antigen (HLA) chain of MHC is the most polymorphic protein in humans. This allelic diversity provides a wide coverage of peptide sequence space, yet does not affect the three-dimensional structure of the complex. Moreover, TCRs mostly interact with pMHC in a common diagonal binding mode, and KIR-pMHC interaction is allele-dependent. With the aim of establishing a framework for understanding the relationships between polymorphism (sequence), structure (conserved fold) and function (protein interactions) of the MHC, we performed here a local frustration analysis on pMHC homology models covering 1436 HLA I alleles. An analysis of local frustration profiles indicated that (1) variations in MHC fold are unlikely due to minimally-frustrated and relatively conserved residues within the HLA peptide-binding groove, (2) high frustration patches on HLA helices are either involved in or near interaction sites of MHC with the TCR, KIR, or Tapasin of the PLC, and (3) peptide ligands mainly stabilize the F-pocket of HLA binding groove.</p>
Data from: The genome sequence and insights into the immunogenetics of the bananaquit (Passeriformes: Coereba flaveola)
Avian genomics, especially of non-model species, is in its infancy relative to mammalian genomics. Here, we describe the sequencing, assembly, and annotation of a new avian genome, that of the bananaquit Coereba flaveola (Passeriformes: Thraupidae). We produced ∼30-fold coverage of the genome with an assembly size of ca. 1.2 Gb, including approximately 16,500 annotated genes. Passerine birds, such as the bananaquit, are commonly infected by avian malarial parasites (Haemosporida), which presumably drive adaptive evolution of immunogenetic loci within the host genome. In the context of our research on the distribution of avian Haemosporida, we specifically characterized immune loci, including toll-like receptor (TLR) and major histocompatibility complex (MHC) genes. Additionally, we identified novel molecular markers in the form of single nucleotide polymorphisms (SNPs), both genome-wide and within identified immune loci. We discovered nine TLR genes and four MHC genes and identified five other TLR- or MHC- associated genes. Genome-wide, over 6 million high-quality SNPs were annotated, including 568 within TLR genes and 102 in MHC genes. This newly described genome and immune characterization expands the knowledge base for avian genomics and phylogenetics and allows for immune genotyping in the bananaquit, providing tools for the investigation of host-parasite coevolution.
Data from: Laying sequence interacts with incubation temperature to influence rate of embryonic development and hatching synchrony in a precocial bird
Incubation starts during egg laying for many bird species and causes developmental asynchrony within clutches. Faster development of late-laid eggs can help reduce developmental differences and synchronize hatching, which is important for precocial species whose young must leave the nest soon after hatching. In this study, we examined the effect of egg laying sequence on length of the incubation period in Wood Ducks (Aix sponsa). Because incubation temperature strongly influences embryonic development rates, we tested the interactive effects of laying sequence and incubation temperature on the ability of late-laid eggs to accelerate development and synchronize hatching. We also examined the potential cost of faster development on duckling body condition. Fresh eggs were collected and incubated at three biologically relevant temperatures (Low: 34.9°C, Medium: 35.8°C, and High: 37.6°C), and egg laying sequences from 1 to 12 were used. Length of the incubation period declined linearly as laying sequence advanced, but the relationship was strongest at medium temperatures followed by low temperatures and high temperatures. There was little support for including fresh egg mass in models of incubation period. Estimated differences in length of the incubation period between eggs 1 and 12 were 2.7 d, 1.2 d, and 0.7 d at medium, low and high temperatures, respectively. Only at intermediate incubation temperatures did development rates of late-laid eggs increase sufficiently to completely compensate for natural levels of developmental asynchrony that have been reported in Wood Duck clutches at the start of full incubation. Body condition of ducklings was strongly affected by fresh egg mass and incubation temperature but declined only slightly as laying sequence progressed. Our findings show that laying sequence and incubation temperature play important roles in helping to shape embryo development and hatching synchrony in a precocial bird.
Data from: Sectional relationships in the Eurasian bearded iris (subgen. Iris) based on phylogenetic analyses of sequence data
Subgenus Iris is wholly Eurasian, distributed in temperate regions from northeastern China to eastern and southern Europe where they occur in mountainous and/or dry rocky sites from near sea level to elevations of 4,500 m. These species have an easily discerned synapomorphy, a multicellular beard on each petaloid sepal. Currently two large and relatively well known and four smaller and less known sections are recognized in the subgenus. This study investigated the monophyly of circumscribed sections and relationships among these sections. Seventy-one taxa, representing each of the six sections and about 80% of the recognized species in subgen. Iris, and 11 outgroup taxa were included in the study. Also included were five Asian species that share some morphological characteristics with subgen. Iris but are typically considered in other subgenera. Phylogenetic analyses of sequence data recovered six major clades but sects. Psammiris, Pseudoregelia, and Regelia, are not monophyletic as currently circumscribed. The sister clade to subgen. Iris is comprised of I. domestica and I. dichotoma, two beardless species that occur in eastern Asia. Iris verna, a species from the eastern United States is sister to I. domestica + I. dichotoma + subgen. Iris. The sepal of I. verna has pubescence but not a beard of multicellular trichomes.
Data from: A novel method to analyze social transmission in chronologically sequenced assemblages, implemented on cultural inheritance of the art of cooking
Here we present an analytical technique for the measurement and evaluation of changes in chronologically sequenced assemblages. To illustrate the method, we studied the cultural evolution of European cooking as revealed in seven cook books dispersed over the past 800 years. We investigated if changes in the set of commonly used ingredients were mainly gradual or subject to fashion fluctuations. Applying our method to the data from the cook books revealed that overall, there is a clear continuity in cooking over the ages – cooking is knowledge that is passed down through generations, not something (re-)invented by each generation on its own. Looking at three main categories of ingredients separately (spices, animal products and vegetables), however, disclosed that all ingredients do not change according to the same pattern. While choice of animal products was very conservative, changing completely sequentially, changes in the choices of spices, but also of vegetables, were more unbounded. We hypothesize that this may be due a combination of fashion fluctuations and changes in availability due to contact with the Americas during our study time period. The presented method is also usable on other assemblage type data, and can thus be of utility for analyzing sequential archaeological data from the same area or other similarly organized material.
Molecular sequencing and morphological identification reveal similar patterns in native bee communities across private and public grasslands of eastern North Dakota
<p>Bees play a key role in the functioning of human-modified and natural ecosystems by pollinating agricultural crops and wild plant communities. Global pollinator conservation efforts need large-scale and long-term monitoring to detect changes in species' demographic patterns and shifts in bee community structure. The objective of this project was to test a molecular sequencing pipeline that would utilize a commonly used locus, produce accurate and precise identifications consistent with morphological identifications, and generate data that are both qualitative and quantitative. We applied this amplicon sequencing pipeline to native bee communities sampled across Conservation Reserve Program (CRP) lands and native grasslands in eastern North Dakota. We found the 28S LSU locus to be more capable of discriminating between species than the 18S SSU rRNA locus, and in some cases even resolved instances of cryptic species or morphologically ambiguous species complexes. Overall, we found the amplicon sequencing method to be a qualitatively accurate representation of the sampled bee community richness and species identity, especially when a well-curated database of known 28S LSU sequences is available. Both morphological identification and molecular sequencing revealed similar patterns in native bee community structure across CRP lands and native prairie. Additionally, a genetic algorithm approach to compute taxon-specific correction factors using a small subset of the most concordant samples demonstrated that a high level of quantitative accuracy could be possible if the specimens are fresh and processed soon after collection. Here we provide a first step to a molecular pipeline for identifying insect pollinator communities. This tool should prove useful for future national monitoring efforts as use of molecular tools becomes more affordable and as numbers of 28S LSU sequences for pollinator species increase in publicly-available databases.</p>
Data from: Intraspecific DNA contamination distorts subtle population structure in a marine fish: decontamination of herring samples before restriction-site associated (RAD) sequencing and its effects on population genetic statistics
Wild specimens are often collected in challenging field conditions, where samples may be contaminated with the DNA of conspecific individuals. This contamination can result in false genotype calls, which are difficult to detect, but may also cause inaccurate estimates of heterozygosity, allele frequencies, and genetic differentiation. Marine broadcast spawners are especially problematic, because population genetic differentiation is low and samples are often collected in bulk and sometimes from active spawning aggregations. Here, we used contaminated and clean Pacific herring (Clupea pallasi) samples to test (i) the efficacy of bleach decontamination, (ii) the effect of decontamination on RAD genotypes, and (iii) the consequences of contaminated samples on population genetic analyses. We collected fin tissue samples from actively spawning (and thus contaminated) wild herring and non-spawning (uncontaminated) herring. Samples were soaked for 10 minutes in bleach or left untreated, and extracted DNA was used to prepare DNA libraries using a restriction-site associated DNA (RAD) approach. Our results demonstrate that intraspecific DNA contamination affects patterns of individual and population variability, causes an excess of heterozygotes, and biases estimates of population structure. Bleach decontamination was effective at removing intraspecific DNA contamination and compatible with RAD sequencing, producing high-quality sequences, reproducible genotypes, and low levels of missing data. Although sperm contamination may be specific to broadcast spawners, intraspecific contamination of samples may be common and difficult to detect from high-throughput sequencing data, and can impact downstream analyses.
Data from: A stable phylogenomic classification of Travunioidea (Arachnida, Opiliones, Laniatores) based on sequence capture of ultraconserved elements
Molecular phylogenetics has transitioned into the phylogenomic era, with data derived from next-generation sequencing technologies allowing unprecedented phylogenetic resolution in all animal groups, including understudied invertebrate taxa. Within the most diverse harvestmen suborder, Laniatores, most relationships at all taxonomic levels have yet to be explored from a phylogenomics perspective. Travunioidea is an early-diverging lineage of laniatorean harvestmen with a Laurasian distribution, with species distributed in eastern Asia, eastern and western North America, and south-central Europe. This clade has had a challenging taxonomic history, but the current classification consists of ~77 species in three families, the Travuniidae, Paranonychidae, and Nippononychidae. Travunioidea classification has traditionally been based on structure of the tarsal claws of the hind legs. However, it is now clear that tarsal claw structure is a poor taxonomic character due to homoplasy at all taxonomic levels. Here, we utilize DNA sequences derived from capture of ultraconserved elements (UCEs) to reconstruct travunioid relationships. Data matrices consisting of 317–677 loci were used in maximum likelihood, Bayesian, and species tree analyses. Resulting phylogenies recover four consistent and highly supported clades; the phylogenetic position and taxonomic status of the enigmatic genus Yuria is less certain. Based on the resulting phylogenies, a revision of Travunioidea is proposed, now consisting of the Travuniidae, Cladonychiidae, Paranonychidae (Nippononychidae is synonymized), and the new family Cryptomastridae Derkarabetian & Hedin, fam. n., diagnosed here. The phylogenetic utility and diagnostic features of the intestinal complex and male genitalia are discussed in light of phylogenomic results, and the inappropriateness of the tarsal claw in diagnosing higher-level taxa is further corroborated.
Linked-read sequencing enables haplotype-resolved resequencing at population scale
The feasibility to sequence entire genomes of virtually any organism provides unprecedented insights into the evolutionary history of populations and species. Nevertheless, many population genomic inferences – including the quantification and dating of admixture, introgression and demographic events, and inference of selective sweeps – are still limited by the lack of high-quality haplotype information. The newest generation of sequencing technology now promises significant progress. To establish the feasibility of haplotype-resolved genome resequencing at population scale, we investigated properties of linked-read sequencing data of songbirds of the genus Oenanthe across a range of sequencing depths. Our results based on the comparison of downsampled (25x, 20x, 15x, 10x, 7x, and 5x) with high-coverage data (46-68x) of seven bird genomes mapped to a reference suggest that phasing contiguities and accuracies adequate for most population genomic analyses can be reached already with moderate sequencing effort. At 15x coverage, phased haplotypes span about 90% of the genome assembly, with 50 and 90 percent of phased sequences located in phase blocks longer than 1.25-4.6 Mb (N50) and 0.27-0.72 Mb (N90). Phasing accuracy reaches beyond 99% starting from 15x coverage. Higher coverages yielded higher contiguities (up to about 7 Mb/1Mb (N50/N90) at 25x coverage), but only marginally improved phasing accuracy. Phase block contiguity improved with input DNA molecule length; thus, higher-quality DNA may help keeping sequencing costs at bay. In conclusion, even for organisms with gigabase-sized genomes like birds, linked-read sequencing at moderate depth opens an affordable avenue towards haplotype-resolved genome resequencing at population scale.
Data from: Concealed by darkness: interactions between predatory bats and nocturnally migrating songbirds illuminated by DNA sequencing
Recently, several species of aerial-hawking bats have been found to prey on migrating songbirds, but details on this behaviour and its relevance for bird migration are still unclear. We sequenced avian DNA in feather-containing scats of the bird-feeding bat Nyctalus lasiopterus from Spain collected during bird migration seasons. We found very high prey diversity, with 31 bird species from eight families of Passeriformes, almost all of which were nocturnally flying sub-Saharan migrants. Moreover, species using tree hollows or nest boxes in the study area during migration periods were not present in the bats' diet, indicating that birds are solely captured on the wing during night-time passage. Additional to a generalist feeding strategy, we found that bats selected medium-sized bird species, thereby assumingly optimizing their energetic cost-benefit balance and injury risk. Surprisingly, bats preyed upon birds half their own body mass. This shows that the 5% prey to predator body mass ratio traditionally assumed for aerial hunting bats does not apply to this hunting strategy or even underestimates these animals' behavioural and mechanical abilities. Considering the bats' generalist feeding strategy and their large prey size range, we suggest that nocturnal bat predation may have influenced the evolution of bird migration strategies and behaviour.
Data from: Genotyping by sequencing and genome–environment associations in wild common bean predict widespread divergent adaptation to drought
Drought will reduce global crop production by >10% in 2050 substantially worsening global malnutrition. Breeding for resistance to drought will require accessing crop genetic diversity found in the wild accessions from the driest high stress ecosystems. Genome–environment associations in crop wild relatives reveal natural adaptation, and therefore can be used to identify adaptive variation. We explored this approach in the food crop Phaseolus vulgaris L., characterizing 86 geo-referenced wild accessions using Genotyping by Sequencing (GBS) to discover single-nucleotide-polymorphisms (SNPs). The wild beans represented Mesoamerica, Guatemala, Colombia, Ecuador/Northern Peru and Andean groupings. We found high polymorphism with a total of 22,845 SNPs across the 86 accessions loci that confirmed genetic relationships for the groups. As a second objective, we quantified allelic associations with a bioclimatic-based drought index using 10 different statistical models that accounted for population structure. Based on the optimum model, 115 SNPs in 90 regions, widespread in all 11 common bean chromosomes, were associated with the bioclimatic-based drought index. A gene coding for an Ankyrin repeat-containing protein and a phototropic-responsive NPH3 gene were identified as potential candidates. Genomic windows of 1Mb containing associated SNPs had more positive Tajima's D scores than windows without associated markers. This indicates that adaptation to drought, as estimated by bioclimatic variables, has been under natural divergent selection, suggesting that drought tolerance may be favorable under dry conditions but harmful in humid conditions. Our work exemplifies that genomic signatures of adaptation are useful for germplasm characterization, potentially enhancing future marker-assisted selection and crop improvement.
16S rRNA Sequence Data, Brazilian Coffee Soils
<p>16S sequencing data for DNA extracted from soils from Brazillian coffee farms. Sequenced on Illumina MiSeq with primers from Caporaso (2011, 2012).</p>
Improving phonetic alignment by handling secondary sequence structures
<p>Supplementary material accompanying the paper "Improving phonetic alignment by handling secondary sequence structures".</p> <p>The data consists of 5 files:</p> <ul> <li>gold_standard.psa : the gold standard used in the analysis in PSA format</li> <li> sca-secondary.psa : the output of the algorithm with the secondary extension</li> <li>sca-traditional.psa : the output of the traditional algorithm</li> <li>sca-secondary-diff.psa : the differences of the secondary extension compared to the GS</li> <li>sca-traditional-diff.psa : the differences of the traditional algorithm compared to the GS</li> </ul> <p>For a description of the file-format used in this dataset, please refer to the LingPy tutorial under http://lingpy.org.</p>
Arctic protistan N-related protein sequences
<p>Nitrogen metabolism related protein sequences in fasta format, originating from Arctic Ocean microbial eukaryotes. Sequences were produced from transcriptomes, sequenced by DoE-Joint Genome Institute (JGI) and the Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP; Gordon and Betty Moore Foundation).</p>
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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.