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140 results for “ribosomal genes”
Table 4. Posterior means and 95 in A revised taxonomy and phylogeny of opalinids (Stramenopiles: Opalinata) inferred from the analysis of complete nuclear ribosomal DNA genes
<p><b>Table 4.</b> Posterior means and 95% credibility intervals (CIs) of divergence times (DTs) of Opalinata lineages (in million years) inferred in the TimeTree analysis. Three groups of calibration time points were used to calibrate the molecular clock. Group A (‘sequence evolution’): calibration points with uniform distribution were assigned for the origin of Stramenopiles (1469.6–812.4 Mya) and Ciliophora (1344.0–627.3 Mya) and to the split of Apicomplexa and Dinoflagellata (1098.8–501.9 Mya). Group B (‘host class constraints’): the maximum bounds of the origin of Amphibia (355.7 Mya) and Sauropsida (322.4 Mya) were assigned to the nodes where <i>Karotomorpha</i> (parasite of amphibians) and <i>Proteromonas</i> (parasite of lizards) branched off* respectively. Group C (‘anuran family constraints’): a maximum bound was assigned to the nodes where <i>Protoopalina</i> * <i>Zelleriella</i> * and <i>Opalina</i> branched off* based on the estimated maximum time of emergence of the most ancient anuran family in which species of each genus have been cited (respectively: Ascaphidae * 204 Mya; Microhylidae * 116.3 Mya; Bombinatoridae and Alytidae * 196 Mya). Four scenarios were analysed by combining the groups of calibration time points.</p><table><tbody><tr><th></th><th><b>Scenario 1 (A)</b></th><th><b>Scenario 2 (A + B)</b></th><th><b>Scenario 3 (A + C)</b></th><th><b>Scenario 4 (A + B + C)</b></th></tr></tbody><tbody><tr><th></th><td><b>DT (95% CI)</b></td><td><b>DT (95% CI)</b></td><td><b>DT (95% CI)</b></td><td><b>DT (95% CI)</b></td></tr><tr><th>Opalinata</th><td>586.7 (304.6–1130.1)</td><td>515.7 (267.0–996.0)</td><td>586.7 (304.6–1129.8)</td><td>515.7 (267.0–996.1)</td></tr><tr><th><i>Karotomorpha</i></th><td>351.7 (165.2–748.8)</td><td>309.2 (178.8–355.7)</td><td>351.7 (165.6–746.9)</td><td>309.2 (178.8–355.7)</td></tr><tr><th>Opalinida</th><td>250.4 (110.7–566.5)</td><td>220.1 (119.3–286.8)</td><td>250.4 (112.2–558.6)</td><td>220.1 (119.3–286.8)</td></tr><tr><th><i>Protoopalina</i></th><td>119.4 (48.6–293.5)</td><td>105.0 (56.1–196.6)</td><td>119.4 (55.1–204.0)</td><td>105.0 (56.0–196.9)</td></tr><tr><th><i>Zelleriella – Opalina</i> split</th><td>49.7 (17.4–142.3)</td><td>43.7 (20.1–95.0)</td><td>49.7 (19.8–124.7)</td><td>43.7 (20.4–93.5)</td></tr></tbody></table>
Figure 2 from: Yang M, Zhang Y (2015) Phylogenetic utility of ribosomal genes for reconstructing the phylogeny of five Chinese satyrine tribes (Lepidoptera, Nymphalidae). ZooKeys 488: 105-120. https://doi.org/10.3897/zookeys.488.9171
Figure 2 - 50% majority-rule trees obtained from Bayesian inference (BI) analyses based on the non-COI + Cytb +COII-3rds-dataset. Numbers on nodes are the posterior probabilities (PP).
Figure 1 from: Yang M, Zhang Y (2015) Phylogenetic utility of ribosomal genes for reconstructing the phylogeny of five Chinese satyrine tribes (Lepidoptera, Nymphalidae). ZooKeys 488: 105-120. https://doi.org/10.3897/zookeys.488.9171
Figure 1 - A Bipartitions tree obtained from maximum likelihood (ML) analysis based on the full six-gene-dataset; numbers separated by a slash on node are bootstrap value (BV) and posterior probability (PP) B Callarge sagitta (Leech), habitus, dorsal view on the above and ventral view on the below.
Figure 3 from: Yang M, Zhang Y (2015) Phylogenetic utility of ribosomal genes for reconstructing the phylogeny of five Chinese satyrine tribes (Lepidoptera, Nymphalidae). ZooKeys 488: 105-120. https://doi.org/10.3897/zookeys.488.9171
Figure 3 - Phylogenetic informative profiles for all subsets used in this study. Ze. Zetherini; El. Elymniini; Me. Melanitini; Am. Amathusiini; Sa. Satyrini.
Figure 2 from: Tedersoo L, Liiv I, Kivistik PA, Anslan S, Kõljalg U, Bahram M (2016) Genomics and metagenomics technologies to recover ribosomal DNA and single-copy genes from old fruit-body and ectomycorrhiza specimens. MycoKeys 13: 1-20. https://doi.org/10.3897/mycokeys.13.8140
Figure 2 - Impact of maximum obtained DNA concentration and number of Illumina HiSeq reads on the size of all scaffolds (A, B) and largest nuclear rDNA scaffold (C, D). Regular straight lines and dotted lines indicate linear and better fitting logarithmic relationships, respectively.
Figure 1 from: Tedersoo L, Liiv I, Kivistik PA, Anslan S, Kõljalg U, Bahram M (2016) Genomics and metagenomics technologies to recover ribosomal DNA and single-copy genes from old fruit-body and ectomycorrhiza specimens. MycoKeys 13: 1-20. https://doi.org/10.3897/mycokeys.13.8140
Figure 1 - Effect of specimen age on the recovery of reads in the Illumina HiSeq run. Closed circles, 'old' fruit-bodies; shaded circles, 'regular' fruit-bodies; open circles, 'unsequenced' fruit-bodies; shaded triangles, ectomycorrhizal root tips representing unique rare lineages; open triangles, 'unsequenced' ectomycorrhizal root tips.
Data from: mtDNA Ribosomal Gene Phylogeny of Sea Hares in the Genus Aplysia (Gastropoda, Opisthobranchia, Anaspidea): Implications for Comparative Neurobiology
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Data from: Ribosomal RNA gene repeats associate with the nuclear pore complex for maintenance after DNA damage
Open the record for dataset details and reuse information.
MYSM1 maintains ribosomal protein gene expression in hematopoietic stem cells to prevent hematopoietic dysfunction II.
GEO Series GSE150666. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Ribosomal Protein Gene Deletions in Diamond Blackfan Anemia
GEO Series GSE31575. Homo sapiens. 74 samples. Type: Genome variation profiling by SNP array; Genome variation profiling by genome tiling array.
High resolution view of bacteriophage lambda gene expression by ribosome profiling
GEO Series GSE47509. Escherichia coli str. K-12 substr. MG1655. 20 samples. Type: Expression profiling by high throughput sequencing.
Ribosome profiling reveals an important role for translational control in circadian gene expression
GEO Series GSE56924. Homo sapiens. 96 samples. Type: Expression profiling by high throughput sequencing; Other.
RNA polymerase I activators count and adjust ribosomal RNA gene copy number
GEO Series GSE116661. Saccharomyces cerevisiae BY4741. 25 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Genome variation profiling by high throughput sequencing.
The multiple myeloma risk allele at 5q15 lowers ELL2 expression and increases ribosomal gene expression [ELL2 rescue]
GEO Series GSE111210. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
MYC-mediated ribosomal gene expression sensitizes enzalutamide-resistant cells to EP300/CREBBP inhibitors
GEO Series GSE163240. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide reporter screen for transcriptional regulators of ribosome biogenesis genes and ribosomal protein genes
GEO Series GSE207900. synthetic construct. 19 samples. Type: Other.
Ribosomal biogenesis genes play an essential and p53-independent role in pancreas development
GEO Series GSE39399. Danio rerio. 16 samples. Type: Expression profiling by array.
MYSM1 maintains ribosomal protein gene expression in hematopoietic stem cells to prevent hematopoietic dysfunction I.
GEO Series GSE150663. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
eIF1-eIF4G1 inhibitors uncover alternative translation activation of stress-response genes via enhanced ribosome loading and 5’UTR translation [Ribo-Seq and Ti-Seq]
GEO Series GSE166742. Homo sapiens. 12 samples. Type: Other.
The DYRK1A protein kinase is recruited to a subset of ribosomal protein gene promoters in human and mouse cells [HeLa RNA-seq]
GEO Series GSE158714. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
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