Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
32
datasets available to search
ShareScore release 0.7.1
Dataset results
32 results for “18S rRNA gene”
Catalog of GenBank sequence read archive (SRA) entries of 16S and 18S rRNA genes from bacterial and protistan planktonic communities along the Eastern Beaufort Sea coast, North Slope, Alaska, 2011-2013
Microbial communities in the coastal Arctic Ocean experience extreme variability in organic matter and inorganic nutrients driven by seasonal shifts in sea ice extent and freshwater inputs. Lagoons border more than half of the Beaufort Sea coast and provide important habitats for migratory fish and seabirds; yet, little is known about the planktonic food webs supporting these higher trophic levels. To investigate seasonal changes in bacterial and protistan planktonic communities, amplicon sequences of 16S and 18S rRNA genes were generated from samples collected during periods of ice-cover (April), ice break-up (June), and open water (August) from shallow lagoons along the eastern Alaska Beaufort Sea coast from 2011 through 2013. This data package catalogs sequence read archive (SRA) entries available through GenBank BioProject PRJNA530074 at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA530074. This data package is associated with the following publication: Kellogg CTE, McClelland JW, Dunton KH and Crump BC (2019) Strong Seasonality in Arctic Estuarine Microbial Food Webs. Front. Microbiol. 10:2628. doi: 10.3389/fmicb.2019.02628 Environmental variables (physiochemical data from YSI and HOBO data loggers, as well as organic matter analysis and stable isotope data from discrete water samples) associated with this genomic dataset are available from the Arctic Data Center: Kenneth Dunton, Byron Crump, and James McClelland. Physical, chemical, and biological data from lagoons and open coastal waters in the nearshore environment of the eastern Alaska Beaufort Sea, 2011-2013. Arctic Data Center. doi:10.18739/A2DG13. To join the two datasets together, please use the provided site codes (column "site_name" here) and collection dates (column "collection_date" here) in each dataset. Note that the site codes in this package are without hyphens (e.g. JAA) while site codes in the above environmental data package have hyphens (e.g. JA-A). Instead of citing this package which is jus
Inventory of High-resolution phylogenetic profiles of the planktonic microbial communities (via 16S and 18S rRNA gene amplicons) from Shark River Slough and Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, 2017 - ongoing
Planktonic microbial communities mediate many vital biogeochemical processes in wetland ecosystems, yet compared to other aquatic ecosystems, like oceans, lakes, rivers, or estuaries, they remain relatively underexplored. Our study site, the Florida Everglades (USA)—a vast iconic wetland consisting of a slow-moving system of shallow rivers connecting freshwater marshes with coastal mangrove forests and seagrass meadows—is a highly threatened model ecosystem for studying salinity and nutrient gradients, as well as the effects of sea level rise and saltwater intrusion. This dataset provides the first high-resolution phylogenetic profiles of planktonic bacterial and eukaryotic microbial communities (using 16S and 18S rRNA gene amplicons) from these environments. The dataset contains 16S and 18S rRNA data from 2017, and contains 16S rRNA data for monthly (2019) and quarterly water samples (2020-ongoing). The 2017 data are published in Laas et al. 2022. A detailed list of sequence data and their accession numbers in GenBank is provided and will be updated as more data are published. This data package is an inventory of sequence read archive (SRA) entries available through GenBank BioProject PRJNA525456 (at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA525456) and BioProject PRJNA1018945 (at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1018945). This data package is associated with the following publication: Laas, P., Ugarelli, K., Travieso, R., Stumpf, S., Gaiser, E. E., Kominoski, J. S., & Stingl, U. (2022). Water column microbial communities vary along salinity gradients in the Florida Coastal Everglades wetlands. Microorganisms, 10(2), 215. https://doi.org/10.3390/microorganisms10020215 Instead of citing this package, which is an inventory, please cite the original GenBank data or journal article, as appropriate. Citation guidance for the journal article is available on the respective publisher's website.
EAW FASTQ files for bioinformatic courses (18S rRNA genes, 2018)
<p>Selection of 6 samples, with 6 Forward (R1) and 6 Reverse (R2) files, including primers. R1 and R2 reads are ca. 300 bp long, and were obtained from Illumina MiSeq technologies, at the FEM facility sequencing platform. The files refer to the18S rRNA gene reads obtained from the analyses carried out on the samples collected and filtered (Sterivex<sup>TM</sup> 0.22 µm) in different areas and depths of Lake Garda on September, 2018 (see EAW_2018_FASTQ_18S_description.docx).</p> <p>Sampling and analyses were carried out in the framework of the project Eco-AlpsWater (ASP569), funded by the Interreg Alpine Space program.</p> <p>A bioinformatic protocol for analyzing these data using DADA2 is available in Zenodo:</p> <pre>https://doi.org/10.5281/zenodo.5233527</pre> <p>The corresponding 16S rRNA gene reads, obtained from the same eDNA extracts, are saved in <a href="https://doi.org/10.5281/zenodo.5215815">https://doi.org/10.5281/zenodo.5215815</a></p>
Fig. 9 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule
Fig. 9. Evolutionary hypothesis of interrelationships among the four free-living litostomatean lineages studied. This scenario was suggested on the basis of morphology and the consensus secondary structure of the ITS2 molecules. CK – circumoral kinety, DB – dorsal brush, OB – oral bulge, OO – oral bulge opening, P – proboscis, PE – perioral kinety, PR – preoral kineties, SK – somatic kineties.
Fig. 5 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule
Fig. 5. Quartet likelihood-mapping showing distribution of phylogenetic signal in the 18S-A and the CON-1 alignment for three possible relationships among the four main free-living litostomatean lineages studied. The corners of the triangles show the percentage of fully resolved trees, i.e., phylogenetically informative signal. The rectangular areas show the percentage of trees that are in conflict. The central triangle shows the percentage of unresolved star-like trees, i.e., phylogenetically uninformative signal. Coding of free-living litostomatean lineages: H – Haptorida, P – Pleurostomatida, R – Rhynchostomatia, S – Spathidiida.
Fig. 4 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule
Fig. 4. Super-network of 66 free-living litostomatean taxa constructed from 80 randomly selected post-burn-in trees from the Bayesian inference of the 18S-A–D, ITSR-C and ITSR-D as well as the CON-1 and CON-2 alignments. The super-network was constructed in the program SplitsTree, using the Z-closure option, tree size weighted mean, ten runs, and the refined heuristic technique. For details on taxa and characteristics of the alignments analyzed, see Supplementary Table S1 and S2.
Fig. 3 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule
Fig. 3. Phylogeny based on the 18S rRNA gene and the ITS1-5.8S-ITS2 region of 56 free-living litostomatean taxa (alignment CON-1). Posterior probabilities for the Bayesian inference and bootstrap values for maximum likelihood were mapped onto the 50% majority rule ML tree. Dashes indicate posterior probabilities below 0.50 and ML bootstrap values below 50%. The scale bar indicates five substitutions per ten nucleotide positions. For details on taxa, evolutionary model used, and characteristics of the CON-1 alignment, see Supplementary Table S1 and S2.
Fig. 1 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule
Fig. 1. Phylogeny based on the 18S rRNA gene of 64 free-living litostomatean taxa (alignment 18S-A). Posterior probabilities for Bayesian inference and bootstrap values for maximum likelihood were mapped onto the 50% majority rule Bayesian consensus tree. Dashes indicate ML bootstrap values below 50%. Sequences in bold were obtained during this study. The scale bar indicates two substitutions per one hundred nucleotide positions. For details on taxa, evolutionary model used, and characteristics of the 18S-A alignment, see Supplementary Table S1 and S2.
Fig. 8 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule
Fig. 8. Structure logo of ITS2 helices II and III in various higher litostomatean taxa. The height of a base is proportional to its frequency in multiple sequence alignments.
Fig. 2 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule
Fig. 2. Phylogeny based on the ITS1-5.8S-ITS2 region of 60 free-living litostomatean taxa (alignment ITSR-A). Posterior probabilities for Bayesian inference and bootstrap values for maximum likelihood were mapped onto the best ML tree. Dashes indicate posterior probabilities below 0.50 and ML bootstrap values below 50%. Sequences in bold were obtained during this study. The scale bar indicates nine substitutions per one hundred nucleotide positions. For details on taxa, evolutionary model used, and characteristics of the ITSR-A alignment, see Supplementary Table S1 and S2.
Fig. 7 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule
Fig. 7. Consensus secondary structure of ITS2 helices II and III in various higher litostomatean taxa.
Fig. 2. The PCR products identified within the 18S in Usefulness of PCR-RFLP of 18S rRNA gene for rapid post-mortem diagnostics of highly pathogenic Eimeria spp. (Apicomplexa: Eimeriidae) of European bison, Bison bonasus L. with histopathological correlation
Fig. 2. The PCR products identified within the 18S rRNA of Eimeria bovis following digestion with two restriction endonucleases: AluI recognising AG∧CT and Hin1II recognising CATG∧. M1: GeneRuler 100 bp Plus DNA Ladder (Thermo Fisher Scientific); M2: GeneRuler 50bp DNA Ladder (Thermo Fisher Scientific); lane 1: European bison colon wall tissue; lane 2: European bison colon wall tissue after digestion; lane 3: E. bovis oocysts of European bison; lane 4: E. bovis oocysts of European bison after digestion.
Fig. 3 in Usefulness of PCR-RFLP of 18S rRNA gene for rapid post-mortem diagnostics of highly pathogenic Eimeria spp. (Apicomplexa: Eimeriidae) of European bison, Bison bonasus L. with histopathological correlation
Fig. 3. The virtual double digestion of the 18S rRNA gene of eimerians infecting the large intestine of the European bison with the restriction enzymes Mval (BstNI) recognising CC∧WGG, and KpnI recognising GGTAC∧C, simulated with SnapGene version 5.0.6 (GSL Biotech LLC); M: GeneRuler 50 bp DNA Ladder (Thermo Fisher Scientific). (A) A three-band pattern for E. bovis (20 bp, 210 bp, 343 bp). (B) A four-band pattern for E, zuernii (20 bp, 100 bp, 210 bp, 242 bp). (C) A two-band pattern for E. alabamensis (212 bp, 362 bp).
Fig. 1 in Usefulness of PCR-RFLP of 18S rRNA gene for rapid post-mortem diagnostics of highly pathogenic Eimeria spp. (Apicomplexa: Eimeriidae) of European bison, Bison bonasus L. with histopathological correlation
Fig. 1. Histopathological lesions associated with endogenous stages of Eimeria spp. in sections of the ileum and colon of European bison (H-E staining). (A) Shortening and blunting of the intestinal villi of the ileum with diffuse infiltration of mononuclear inflammatory cells within the lamina propria, edematous stroma, dilated crypt containing necrotic debris (arrow), and atrophy of submucosal lymphoid follicles (× 20 magnification). (B) Schizonts and degenerating merozoites in the crypt lumen of the colon (arrows); immature macrogamont with a central nucleus (arrowhead) (× 1000 magnification). (C) Immature microgamonts in the epithelial cells of the colon crypt (arrows) (× 400 magnification). (D) Mature microgamont in the epithelial cells of the colon crypt (arrow) (× 1000 magnification). (E) Gametogonic stages of Eimeria development in the epithelial cells of the colon. Microgamont with peripheral microgames (arrowhead), (a) nearly mature microgamonts, (b) macrogamont with eosinophilic wall-forming bodies, (c) early oocyst (× 400 magnification). (F) Mature macrogamont in the epithelial cells of the cecum (arrow) (× 1000 magnification).
Fig. 2 in Diversity of fecal parasitomes of wild carnivores inhabiting Korea, including zoonotic parasites and parasites of their prey animals, as revealed by 18S rRNA gene sequencing
Fig. 2. Relative abundance of all parasite genera detected from fecal samples of wild carnivores in Korea. The relative abundance of each parasite is defined as the ratio of the number of sequence reads assigned to that parasite to the total number of sequence reads assigned to all target parasites.
Fig. 1 in Diversity of fecal parasitomes of wild carnivores inhabiting Korea, including zoonotic parasites and parasites of their prey animals, as revealed by 18S rRNA gene sequencing
Fig. 1. Diversity of fecal parasitomes of wild carnivores in Korea. The results shown are based on the diversity of zero-radius operational taxonomic units (ZOTUs) that were taxonomically assigned to parasites. (a) Comparison of richness and diversity of parasite ZOTUs between host animals estimated by the Chao1 estimator and Shannon index, respectively. (b) Non-metric multidimensional scaling (NMDS) plots showing the structure and membership of parasite ZOTUs represented by the Bray–Curtis dissimilarity and Jaccard index, respectively. In the panel (a), one asterisk (*) and two asterisks (**) represent p <0.05 and p <0.01, respectively, by the post hoc Wilcoxon rank-sum test. The abbreviation "ns" represents no statistical difference.
Fig. 2 in Barcoding diatoms: evaluation of the V4 subregion on the 18S rRNA gene, including new primers and protocols
Fig. 2 Box-and-whisker plot of intraspecific and intrageneric (x-axis) genetic distances measured in uncorrected p-distances (y-axis). Thick black lines indicate median values, boxes represent upper and lower quartiles, whiskers indicate value ranges, circles represent outliers
Fig. 1 in Barcoding diatoms: evaluation of the V4 subregion on the 18S rRNA gene, including new primers and protocols
Fig. 1 Consensus secondary structure of the 18S locus (SSU rRNA gene) in diatoms (181 sequences), based on the Toxarium undulatum 18S secondary structure model as reference sequence. Upper-case letters indicate that nucleotides at corresponding positions are conserved in 98– 100% of sequences, lower-case letters indicate 90–98% conservation, dots 80–90% conservation, circles indicate greater than 20% variability.
Data from: Comparative study of the validity of three regions of 18S-rRNA gene for massively parallel sequencing-based monitoring of the planktonic eukaryote community
Open the record for dataset details and reuse information.
Supplementary material 2 from: Martin JL, Santi I, Pitta P, John U, Gypens N (2022) Towards quantitative metabarcoding of eukaryotic plankton: an approach to improve 18S rRNA gene copy number bias. Metabarcoding and Metagenomics 6: e85794. https://doi.org/10.3897/mbmg.6.85794
Supplementary Data 2
ScienceDex guides
Understand access before you commit
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.