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92 results for “18S rRNA”
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.
Figure 5. Parsimony network obtained with TCS for the 18S rRNA information from Echiniscus species. A in Congruence between molecular phylogeny and cuticular design in Echiniscoidea (Tardigrada, Heterotardigrada)
Figure 5. Parsimony network obtained with TCS for the 18S rRNA information from Echiniscus species. A photo with the cuticular design for each species is provided. E. merokensis SP, Spanish Echiniscus merokensis merokensis. E. merokensis Tar759 SUE, subspecies Echiniscus merokensis suecicus. The three supported groups found among the Echiniscus species, based on cuticle design, are identified with dotted squares, and named as I, II, and III.
Data from: 18S rRNA metabarcoding diet analysis of the predatory fish community across seasonal changes in prey availability
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Data from: An updated 18S rRNA phylogeny of tunicates based on mixture and secondary structure models
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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
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Supplementary material 1 from: Sogawa S, Tsuchiya K, Nagai S, Shimode S, Kuwahara VS (2022) Annual dynamics of eukaryotic and bacterial communities revealed by 18S and 16S rRNA metabarcoding in the coastal ecosystem of Sagami Bay, Japan. Metabarcoding and Metagenomics 6: e78181. https://doi.org/10.3897/mbmg.6.78181
Figures S1–S8
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
Supplementary material 1 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 1
Supplementary material 3 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 3
Supplementary material 4 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
Tables S1–S4, Figures S1–S4
Supplementary material 5 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Table 5 : Data type: Table
Supplementary material 4 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Table 4 : Data type: Table
Supplementary material 1 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Table 1 : Data type: Table
Supplementary material 3 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Table 3 : Data type: Table
Supplementary material 7 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Figure 2 : Data type: Image
Supplementary material 2 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Table 2 : Data type: Table
Supplementary material 6 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Figure 1 : Data type: Image
Fig. 6 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. 6. Consensus secondary structure of the ITS2 molecule of free-living litostomateans. The ITS2 molecule shows an internal loop, radiating two helices. There is an A-G bulge in the stem of helix III.
Fig. 4 The 18S rRNA V4 a and V9 regions b in Species delimitation polyphasic approach reveals Meyerella similis sp. nov.: a new species of "small green balls" within the Chlorella-clade (Trebouxiophyceae, Chlorophyta)
Fig. 4 The 18S rRNA V4 a and V9 regions b of Meyerella members. Black boxes – molecular signatures
Data from: Identification of habitat-specific biomes of aquatic fungal communities using a comprehensive nearly full-length 18S rRNA dataset enriched with contextual data
Molecular diversity surveys have demonstrated that aquatic fungi are highly diverse, and that they play fundamental ecological roles in aquatic systems. Unfortunately, comparative studies of aquatic fungal communities are few and far between, due to the scarcity of adequate datasets. We combined all publicly available fungal 18S ribosomal RNA (rRNA) gene sequences with new sequence data from a marine fungi culture collection. We further enriched this dataset by adding validated contextual data. Specifically, we included data on the habitat type of the samples assigning fungal taxa to ten different habitat categories. This dataset has been created with the intention to serve as a valuable reference dataset for aquatic fungi including a phylogenetic reference tree. The combined data enabled us to infer fungal community patterns in aquatic systems. Pairwise habitat comparisons showed significant phylogenetic differences, indicating that habitat strongly affects fungal community structure. Fungal taxonomic composition differed considerably even on phylum and class level. Freshwater fungal assemblage was most different from all other habitat types and was dominated by basal fungal lineages. For most communities, phylogenetic signals indicated clustering of sequences suggesting that environmental factors were the main drivers of fungal community structure, rather than species competition. Thus, the diversification process of aquatic fungi must be highly clade specific in some cases.The combined data enabled us to infer fungal community patterns in aquatic systems. Pairwise habitat comparisons showed significant phylogenetic differences, indicating that habitat strongly affects fungal community structure. Fungal taxonomic composition differed considerably even on phylum and class level. Freshwater fungal assemblage was most different from all other habitat types and was dominated by basal fungal lineages. For most communities, phylogenetic signals indicated clustering of sequences suggesting that environmental factors were the main drivers of fungal community structure, rather than species competition. Thus, the diversification process of aquatic fungi must be highly clade specific in some cases.
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Allen Brain Atlas
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International Brain Laboratory public data
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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.