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.
40
datasets available to search
ShareScore release 0.9.0
Dataset results
40 results for “Actinobacteria”
Fig. 2 in Unrecorded bacterial species belonging to the phylum Actinobacteria originated from Republic of Korea
Fig. 2. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationship between the strains isolated in this study and their relatives of the phylum Actinobacteria. Bootstrap values (>70%) are shown above nodes. Filled circles indicate the nodes recovered by three other treeing methods including maximum likelihood, maximum parsimony, and neighbor joining. Bar, 0.02 substitutions per nucleotide position.
Fig. 1 in Unrecorded bacterial species belonging to the phylum Actinobacteria originated from Republic of Korea
Fig. 1. Transmission electron micrographs or scanning electron micrographs of cells of the strains isolated in this study. Strains: 1, KHH20; 2, RDH8; 3, Ho-10; 4, KYW950; 5, LPB0110; 6, KYW1206; 7, HKS12; 8, HKS25; 9, C4-1; 10, HKS09; 11, C7-7; 12, C1-46; 13, HMF4427; 14, KHC15; 15, IMCC25612; 16, LPB0100; 17, Ho-14; 18, KHG7; 19, DO214; 20, IMCC25611; 21, HMF3875; 22, KHK4; 23, IMCC25615; 24, LPB0092; 25, bT304; 26, UT 4-03; 27, LPB0101; 28, KHC19; 29, C6-16; 30, IMCC25604; 31, KYW998; 32, HKS28; 33, Cip10; 34, IMCC25613; 35, C3-50; 36, HKS22; 37, C6-12; 38, C10-13; 39, C6-18; 40, G1; 41, KHO6; 42, C1-60; 43, C3-42; 44, C2- 18; 45, IMCC25607; 46, BK1I29; 47, MGS3Y-3-1; 48, MGS3Y-3-4; 49, HKS20; 50, TW1K13; 51, TW1K14; 52, BBT-4; 53, Tri-200-1; 54, TW1K20; 55, BBT-7; 56, TW1M1; 57, TW1K17; 58, HKS13; 59, MEC3Y-3-1; 60, TW1S1; 61, MMD3Y-3-3; 62, MK6Y-2-3.
Fig. 3 in Description of unrecorded bacterial species belonging to the phylum Actinobacteria in Korea
Fig. 3. Neighborjoining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationship between the isolates and their relatives of the phylum Actinobacteria. Evolutionary distances, generated using the model of Jukes & Cantor (1969), are based on 1155 unambiguously aligned nucleotides. Bootstrap values (>70%) are shown above nodes. Filled circles indicate the nodes recovered by three other treeing methods including maximum likelihood, maximum parsimony and neighborjoining. Bar, 0.02 substitutions per nucleotide position.
Fig. 2 in Description of unrecorded bacterial species belonging to the phylum Actinobacteria in Korea
Fig. 2. Scanning electron micrographs of cells of the isolates. Bar, 1 μm. Strains: 1, G92; 2, S36; 3, SO100; 4, EAC30; 5, SO94; 6, JDB244.
Fig. 1 in Description of unrecorded bacterial species belonging to the phylum Actinobacteria in Korea
Fig. 1. Transmission electron micrographs of cells of the isolates. Bar, 1 μm. Strains: 1, LPB0331; 2, N20; 3, G24; 4, G9; 5, G37; 6, 19D1G4; 7, 19D1L6; 8, G56; 9, 13H3; 10, 19D1A19; 11, 19D1A72; 12, G36; 13, CAU 1605; 14, N14; 15, KR3; 16, 19D1C16; 17, 19D1A9; 18, SO98; 19, LPB0322; 20, SO111; 21, N40; 22, BSSPR25; 23, 19D2C13; 24, 19D2A1; 25, 13H2; 26, 19D1F19; 27, JBTFM16; 28, LPB0310; 29, KYW1971; 30, R21; 31, R_77; 32, BT360; 33, SR3; 34, FS100; 35, S5; 36, 19D2V10; 37, 19D1S1; 38, 19D1V24; 39, JDB110; 40, R12; 41, BSSPM28; 42, 19D1C14; 43, BT343; 44, BSSPM29; 45, BT46; 46, MMS19T35; 47, LPB0280; 48, R5; 49, 19D2C16; 50, BT63; 51, 9C1; 52, BG138; 53, EAC34; 54, 19D1L39; 55, R9; 56, MMS19T27; 57, 5C2; 58, 5C1; 59, 13H1; 60, 19D2F17; 61, CAU 1564; 62, 19D2S3; 63, R21; 64, DS12; 65, 19D1T8; 66, F111; 67, MMS19T31; 68, EAC17; 69, MMS19T12; 70, 19D1A31; 71, LPB0332.
Fig. 2 in A report of 38 unrecorded bacterial species in Korea, belonging to the phylum Actinobacteria
Fig. 2. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationship between the strains isolated in this study and their relatives of the phylum Actinobacteria. Bootstrap values (>70%) are shown above nodes. Filled circles indicate the nodes recovered by three other treeing methods including maximum likelihood, maximum parsimony, and neighbor joining. Bar, 0.01 substitutions per nucleotide position. Suborder: A, Micromonosporineae; B, Frankineae; C, Propionibacterineae.
Fig. 2 in Report of 21 unrecorded bacterial species in Korea belonging to the phylum Actinobacteria, discovered during the survey in 2020
Fig. 2. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences showing the relationships between the strains isolated in this study and their relatives of the family Streptomycetaceae in the phylum Actinobacteria. Bootstrap values (>50%) are shown at branching points. Filled circles indicate the nodes also recovered in the maximum-likelihood and maximum-parsimony trees, and open circles indicate the nodes also recovered in only one of the trees. Bar, 0.005 substitutions per nucleotide position.
Fig. 1 in Report of 21 unrecorded bacterial species in Korea belonging to the phylum Actinobacteria, discovered during the survey in 2020
Fig. 1. Transmission electron or scanning electron micrographs of cells of the strains isolated in the study. Strains: 1, JHSTF-R7; 2, JH- STF-M27; 3, SO314; 4, CAU 1609; 5, CAU 1610; 6, CAU 1611; 7, CAU 1619; 8, MMS20-SJTR5; 9, MMS20-SJTR12; 10, MMS20-SJTN15; 11, MMS20-HV2-26; 12, MMS20-HV4-22; 13, MMS20-AI2-20; 14, DM17; 15, MA2; 16, MA30; 17, I2-3; 18, XY6; 19, SM6; 20, BT677; 21, BT654.
Fig. 2 in Unrecorded prokaryotic species belonging to the class Actinobacteria in Korea
Fig. 2. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationship between the strains isolated in this study and their relatives of the class Actinobacteria. Bootstrap values (>70%) are shown above nodes. Filled circles indicate the nodes recovered by three other treeing methods including Maximum-likelihood, Maximum-parsimony and Neighbor-joining. Bar, 0.01 substitutions per nucleotide position.
Fig. 2 in A report of 34 unrecorded bacterial species in Korea, belonging to the Actinobacteria
Fig. 2. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationships between the strains isolated in this study and their relatives of the orders Corynebacteriales, Frankiales and Micromonosporales in the class Actinobacteria. Bootstrap values (>70%) are shown at the branching points. Asterisks indicate that the corresponding branches were also recovered in both the maximum-likelihood and maximum-parsimony trees. Bar, 0.02 substitutions per nucleotide position.
Fig. 4 in A report of 34 unrecorded bacterial species in Korea, belonging to the Actinobacteria
Fig. 4. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationships between the strains isolated in this study and their relatives of the orders Propionibacteriales, Pseudonocardiales, Streptomycetales and Streptosporangiales in the class Actinobacteria. Bootstrap values (>70%) are shown at the branching points. Asterisks indicate that the corresponding branches were also recovered in both the maximum-likelihood and maximum-parsimony trees. Bar, 0.02 substitutions per nucleotide position.
Fig. 1 in A report of 34 unrecorded bacterial species in Korea, belonging to the Actinobacteria
Fig. 1. Transmission electron micrographs or scanning electron micrographs of cells of the strains isolated in this study. Strains: 1, IMCC 12370; 2, WL1; 3, WS80; 4, MN13; 5, NU 4Y-9-1; 6, YB.Ce-3; 7, WM99; 8, BS8; 9, 61DPR39; 10, Ho-02; 11, RMD 3Y-15-4; 12, HMF2762; 13, NK 4Y-9-3; 14, WW28; 15, EgT0207; 16, KHS04; 17, NK 6Y-6-4; 18, NS 4Y-8-4; 19, 145-10; 20, AX5; 21, NGS 3Y-15-2; 22, R1-6; 23, N1-9; 24, RK 4Y-2-4; 25, RS 4Y-2-4; 26, RMD 3Y-3-1; 27, NU 4Y-9-4; 28, BBT1; 29, BS22; 30, I1-6; 31, T1-6; 32, 7C-18; 33, WM35; 34, BS10.
Fig. 2 in Report on 31 unrecorded bacterial species in Korea that belong to the phylum Actinobacteria
Fig. 2. Neighborjoining phylogenetic tree based on 16S rRNA gene sequences, showing the relationship between the strains isolated in this study and their relatives of the phylum Actinobacteria. The numbers at nodes represent bootstrap values (>50%) obtained by neighborjoining and maximumlikelihood methods, respectively. Closed circles indicate the nodes recovered by maximumlikelihood algorithm. The GenBank accession number of each species is enclosed in parentheses. Bar, 0.02 substitutions per nucleotide position.
Fig. 3 in A report of 34 unrecorded bacterial species in Korea, belonging to the Actinobacteria
Fig. 3. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationships between the strains isolated in this study and their relatives of the order Micrococcales in the class Actinobacteria. Bootstrap values (>70%) are shown at the branching points. Asterisks indicate that the corresponding branches were also recovered in both the maximum-likelihood and maximum-parsimony trees. Bar, 0.02 substitutions per nucleotide position.
Fig. 5 in A report of 34 unrecorded bacterial species in Korea, belonging to the Actinobacteria
Fig. 5. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationships between the strains isolated in this study and their relatives of the order Solirubrobacterales in the class Thermoleophilia. Bootstrap values (>70%) are shown at the branching points. Asterisks indicate that the corresponding branches were also recovered in both the maximum-likelihood and maximum-parsimony trees. Bar, 0.02 substitutions per nucleotide position.
Fig. 1 in Unrecorded prokaryotic species belonging to the class Actinobacteria in Korea
Fig. 1. Transmission electron micrographs or scanning electron micrographs of cells of the strains isolated in this study. Strains: 1, CAU 1470; 2, CAU 1475; 3, NA_1; 4, HC_48; 5, D7-24; 6, GH1-18; 7, GH1-39; 8, Gsoil 1173; 9, 17J72-9; 10, IMCC34147; 11, 17J28-11; 12, 17J49-8; 13, 17J49-11; 14, Ibu_O_11; 15, Ibu_O_21; 16, MMS17-SY291; 17, LT2304; 18, JMn2; 19, JMn10; 20, WD9; 21, LM3301; 22, KYW1377; 23, Gsoil 335; 24, Gsoil 1175; 25, BE2-18; 26, Gsoil 1130; 27, 17J48-16; 28, Gsoil 006; 29, Gsoil 262; 30, MMS17-SY284; 31, MMS17-SY227; 32, MMS17-GJ001; 33, Gsoil 961; 34, Gsoil 1526; 35, Gsoil 554.
Whole genome sequence and annotation dataset of rare actinobacteria, Barrientosiimonas humi gen. nov., sp. nov. 39T from Antarctica
<p>The present data files are the source files of the annotation output from the whole genome sequencing of rare actinobacteria, <em>Barrientosiimonas humi gen. nov., sp. nov.</em> 39<sup>T</sup> from Antarctica.</p> <p>The dataset of the whole-genome sequence of <em>B. humi</em> had been deposited in European Nucleotide Archive (ENA) repository under the accession number PRJEB44986 / ERP129097, direct URL to data:<strong> </strong><a href="https://www.ebi.ac.uk/ena/browser/view/PRJEB44986">https://www.ebi.ac.uk/ena/browser/view/PRJEB44986</a></p>
EvoMining genomic and enzyme databases for Actinobacteria, Cyanobacteria, Pseudomonas and Archaea
<p>Databases for EvoMining 2.0</p> <p>Genomic DB is a collection of genomes of a certain taxonomical group, functionally annotated by RAST.</p> <p>Enzyme-DB</p> <p>Actinobacteria</p> <p>Cyanobacteria</p> <p>Pseudomonas</p> <p>Archaea</p> <p>SampleData</p>
Data from: Exploring actinobacteria associated with rhizosphere and endosphere of the native Alpine medicinal plant Leontopodium nivale Subspecies alpinum
<p>The rhizosphere of plants is enriched in nutrients facilitating growth of microorganisms, some of which are recruited as endophytes. Endophytes, especially Actinobacteria, are known to produce a plethora of bioactive compounds. We hypothesized that Leontopodium nivale subsp. alpinum (Edelweiss), a rare alpine medicinal plant, may serve as yet untapped source for uncommon Actinobacteria associated with this plant. Rhizosphere soil of native Alpine plants was used, after physical and chemical pretreatments, for isolating Actinobacteria. Isolates were selected based on morphology and identified by 16S rRNA gene-based barcoding. Resulting 77 Actinobacteria isolates represented the genera Actinokineospora, Kitasatospora, Asanoa, Microbacterium, Micromonospora, Micrococcus, Mycobacterium, Nocardia, and Streptomyces. In parallel, Edelweiss plants from the same location were surface-sterilized, separated into leaves, roots, rhizomes, and inflorescence and pooled within tissues before genomic DNA extraction. Metagenomic 16S rRNA gene amplicons confirmed large numbers of actinobacterial operational taxonomic units (OTUs) descending in diversity from roots to rhizomes, leaves and inflorescences. These metagenomic data, when queried with isolate sequences, revealed an overlap between the two datasets, suggesting recruitment of soil bacteria by the plant. Moreover, this study uncovered a profound diversity of uncultured Actinobacteria from Rubrobacteridae, Thermoleophilales, Acidimicrobiales and unclassified Actinobacteria specifically in belowground tissues, which may be exploited by a targeted isolation approach in the future.</p>
Data from: Key roles for freshwater Actinobacteria revealed by deep metagenomic sequencing
Open the record for dataset details and reuse information.
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.