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401 results for “Nuclear Genes”
The amount of RNA editing sites in liverwort organellar genes is correlated with GC content and nuclear PPR protein diversity
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Data from: Phylogeny of salmonids (Salmoniformes: Salmonidae) and its molecular dating: analysis of nuclear RAG1 gene
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Data from: Allele phasing has minimal impact on phylogenetic reconstruction from targeted nuclear gene sequences in a case study of Artocarpus
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Data from: Using targeted enrichment of nuclear genes to increase phylogenetic resolution in the neotropical rain forest genus Inga (Leguminosae: Mimosoideae)
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Data from: A universal probe set for targeted sequencing of 353 nuclear genes from any flowering plant designed using k-medoids clustering
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Data from: Schneider et al. (2020). Phylogenomics of the tropical plant family Ochnaceae using targeted enrichment of nuclear genes and 250+ taxa. Taxon.
<p>DNA sequence alignments with all loci concatenated (e.g., "Alignment_concatenated_xxx_dataset") or for each locus separated (see folders "Gene_alignments_xxx_dataset"). The individual gene alignments are identified by their locus number. Numbers in the sequence headers of the fasta files correspond to the Lab IDs of specimens (see related publication for detailed voucher information). These alignments were used for the phylogenetic analyses in the related publication. The bait set contains the probe sequences used for the targeted enrichment of nuclear loci of Ochnaceae.</p>
Data from: Molecular phylogenetics of Braconidae (Hymenoptera: Ichneumonoidea) based on multiple nuclear genes and implications for classification
This study examined subfamilial relationships within Braconidae, using 4kb of sequence data for 139 taxa. Genetic sampling included previously used markers for phylogenetic studies of Braconidae (28S and 18S rDNA) as well as new nuclear protein-coding genes (CAD and ACC). Maximum likelihood and Bayesian inference of the concatenated dataset recovered a robust phylogeny, particularly for early divergences within the family. This study focused primarily on non-cyclostome subfamilies, but the monophyly of the cyclostome complex was strongly supported. There was evidence supporting an independent clade, termed the aphidioid complex as sister to the cyclostome complex of subfamilies. Maxfischeria was removed from Helconinae and placed within its own subfamily within the aphidioid complex. Most relationships within the cyclostome complex were poorly supported, likely due to lower taxonomic sampling within this group. Similar to other studies, there was strong support for the alysioid subcomplex containing Gnamptodontinae, Alysiinae, Opiinae, and Exothecinae. Cenocoeliinae was recovered as sister to all other subfamilies within the euphoroid complex. Planitorus and Mannokeraia, previously placed in Betylobraconinae and Masoninae, respectively, were moved to the Euphorinae and may share a close affiliation with Neoneurinae. Neoneurinae and Ecnomiinae were placed as tribes within Euphorinae. A sister relationship between the microgastroid and sigalphoid complexes was also recovered. Within the helconoid complex was a well-supported lineage parasitic on lepidopteran larvae (macrocentroid subcomplex). Helconini was raised to subfamily status and was recovered as sister to the macrocentroid subcomplex. Blacinae was demoted to tribal status and placed within the newly circumscribed subfamily Brachistinae, which also contains the tribes Diospilini, Brulleiini, and Brachistini, all formerly in Helconinae.
Data from: Ribosomal RNA gene repeats associate with the nuclear pore complex for maintenance after DNA damage
The ribosomal RNA genes (rDNA) comprise a highly repetitive gene cluster. The copy number of genes at this locus can readily change and is therefore one of the most unstable regions of the genome. DNA damage in rDNA occurs after binding of the replication fork blocking protein Fob1 in S phase, which triggers unequal sister chromatid recombination. However, the precise mechanisms by which such DNA double-strand breaks (DSBs) are repaired is not well understood. Here, we demonstrate that the conserved protein kinase Tel1 maintains rDNA stability after replication fork arrest. We show that rDNA associates with nuclear pores, which is dependent on DNA damage checkpoint kinases Mec1/Tel1 and replisome component Tof1. These findings suggest that rDNA-nuclear pore association is due to a replication fork block and subsequent DSB. Indeed, quantitative microscopy revealed that rDNA is relocated to the nuclear periphery upon induction of a DSB. Finally, rDNA stability was reduced in strains where this association with the nuclear envelope was prevented, which suggests its importance for avoiding improper recombination repair that could induce repeat instability.
Data from: More taxa or more characters revisited: combining data from nuclear protein-encoding genes for phylogenetic analyses of Noctuoidea (Insecta: Lepidoptera)
A central question concerning data collection strategy for molecular phylogenies has been, is it better to increase the number of characters or the number of taxa sampled to improve the robustness of a phylogeny estimate? A recent simulation study concluded that increasing the number of taxa sampled is preferable to increasing the number of nucleotide characters, if taxa are chosen specifically to break up long branches. We explore this hypothesis by using empirical data from noctuoid moths, one of the largest superfamilies of insects. Separate studies of two nuclear genes, elongation factor-1α (EF-1α) and dopa decarboxylase (DDC), have yielded similar gene trees and high concordance with morphological groupings for 49 exemplar species. However, support levels were quite low for nodes deeper than the subfamily level. We tested the effects on phylogenetic signal of (1) increasing the taxon sampling by nearly 60%, to 77 species, and (2) combining data from the two genes in a single analysis. Surprisingly, the increased taxon sampling, although designed to break up long branches, generated greater disagreement between the two gene data sets and decreased support levels for deeper nodes. We appear to have inadvertently introduced new long branches, and breaking these up may require a yet larger taxon sample. Sampling additional characters (combining data) greatly increased the phylogenetic signal. To contrast the potential effect of combining data from independent genes with collection of the same total number of characters from a single gene, we simulated the latter by bootstrap augmentation of the single-gene data sets. Support levels for combined data were at least as high as those for the bootstrap-augmented data set for DDC and were much higher than those for the augmented EF-1α data set. This supports the view that in obtaining additional sequence data to solve a refractory systematic problem, it is prudent to take them from an independent gene.
Data from: Identification and qualification of 500 nuclear, single-copy, orthologous genes for the Eupulmonata (Gastropoda) using transcriptome sequencing and exon capture
The qualification of orthology is a significant challenge when developing large, multiloci phylogenetic data sets from assembled transcripts. Transcriptome assemblies have various attributes, such as fragmentation, frameshifts and mis-indexing, which pose problems to automated methods of orthology assessment. Here, we identify a set of orthologous single-copy genes from transcriptome assemblies for the land snails and slugs (Eupulmonata) using a thorough approach to orthology determination involving manual alignment curation, gene tree assessment and sequencing from genomic DNA. We qualified the orthology of 500 nuclear, protein-coding genes from the transcriptome assemblies of 21 eupulmonate species to produce the most complete phylogenetic data matrix for a major molluscan lineage to date, both in terms of taxon and character completeness. Exon capture targeting 490 of the 500 genes (those with at least one exon >120 bp) from 22 species of Australian Camaenidae successfully captured sequences of 2825 exons (representing all targeted genes), with only a 3.7% reduction in the data matrix due to the presence of putative paralogs or pseudogenes. The automated pipeline Agalma retrieved the majority of the manually qualified 500 single-copy gene set and identified a further 375 putative single-copy genes, although it failed to account for fragmented transcripts resulting in lower data matrix completeness when considering the original 500 genes. This could potentially explain the minor inconsistencies we observed in the supported topologies for the 21 eupulmonate species between the manually curated and 'Agalma-equivalent' data set (sharing 458 genes). Overall, our study confirms the utility of the 500 gene set to resolve phylogenetic relationships at a range of evolutionary depths and highlights the importance of addressing fragmentation at the homolog alignment stage for probe design.
Data from: Successful recovery of nuclear protein-coding genes from small insects in museums using illumina sequencing
In this paper we explore high-throughput Illumina sequencing of nuclear protein-coding, ribosomal, and mitochondrial genes in small, dried insects stored in natural history collections. We sequenced one tenebrionid beetle and 12 carabid beetles ranging in size from 3.7 to 9.7 mm in length that have been stored in various museums for 4 to 84 years. Although we chose a number of old, small specimens for which we expected low sequence recovery, we successfully recovered at least some low-copy nuclear protein-coding genes from all specimens. For example, in one 56-year-old beetle, 4.4 mm in length, our de novo assembly recovered about 63% of approximately 41,900 nucleotides in a target suite of 67 nuclear protein-coding gene fragments, and 70% using a reference-based assembly. Even in the least successfully sequenced carabid specimen, reference-based assembly yielded fragments that were at least 50% of the target length for 34 of 67 nuclear protein-coding gene fragments. Exploration of alternative references for reference-based assembly revealed few signs of bias created by the reference. For all specimens we recovered almost complete copies of ribosomal and mitochondrial genes. We verified the general accuracy of the sequences through comparisons with sequences obtained from PCR and Sanger sequencing, including of conspecific, fresh specimens, and through phylogenetic analysis that tested the placement of sequences in predicted regions. A few possible inaccuracies in the sequences were detected, but these rarely affected the phylogenetic placement of the samples. Although our sample sizes are low, an exploratory regression study suggests that the dominant factor in predicting success at recovering nuclear protein-coding genes is a high number of Illumina reads, with success at PCR of COI and killing by immersion in ethanol being secondary factors; in analyses of only high-read samples, the primary significant explanatory variable was body length, with small beetles being more successfully sequenced.
Supplementary material 2 from: Ringelberg JJ, Koenen EJM, Iganci JR, de Queiroz LP, Murphy DJ, Gaudeul M, Bruneau A, Luckow M, Lewis GP, Hughes CE (2022) Phylogenomic analysis of 997 nuclear genes reveals the need for extensive generic re-delimitation in Caesalpinioideae (Leguminosae). In: Hughes CE, de Queiroz LP, Lewis GP (Eds) Advances in Legume Systematics 14. Classification of Caesalpinioideae Part 1: New generic delimitations. PhytoKeys 205: 3-58. https://doi.org/10.3897/phytokeys.205.85866
Table S2
Supplementary material 4 from: Ringelberg JJ, Koenen EJM, Iganci JR, de Queiroz LP, Murphy DJ, Gaudeul M, Bruneau A, Luckow M, Lewis GP, Hughes CE (2022) Phylogenomic analysis of 997 nuclear genes reveals the need for extensive generic re-delimitation in Caesalpinioideae (Leguminosae). In: Hughes CE, de Queiroz LP, Lewis GP (Eds) Advances in Legume Systematics 14. Classification of Caesalpinioideae Part 1: New generic delimitations. PhytoKeys 205: 3-58. https://doi.org/10.3897/phytokeys.205.85866
Supplementary tree file
Supplementary material 3 from: Ringelberg JJ, Koenen EJM, Iganci JR, de Queiroz LP, Murphy DJ, Gaudeul M, Bruneau A, Luckow M, Lewis GP, Hughes CE (2022) Phylogenomic analysis of 997 nuclear genes reveals the need for extensive generic re-delimitation in Caesalpinioideae (Leguminosae). In: Hughes CE, de Queiroz LP, Lewis GP (Eds) Advances in Legume Systematics 14. Classification of Caesalpinioideae Part 1: New generic delimitations. PhytoKeys 205: 3-58. https://doi.org/10.3897/phytokeys.205.85866
Figure S1
Supplementary material 1 from: Ringelberg JJ, Koenen EJM, Iganci JR, de Queiroz LP, Murphy DJ, Gaudeul M, Bruneau A, Luckow M, Lewis GP, Hughes CE (2022) Phylogenomic analysis of 997 nuclear genes reveals the need for extensive generic re-delimitation in Caesalpinioideae (Leguminosae). In: Hughes CE, de Queiroz LP, Lewis GP (Eds) Advances in Legume Systematics 14. Classification of Caesalpinioideae Part 1: New generic delimitations. PhytoKeys 205: 3-58. https://doi.org/10.3897/phytokeys.205.85866
Table S1
Table 6 in A revised taxonomy and phylogeny of opalinids (Stramenopiles: Opalinata) inferred from the analysis of complete nuclear ribosomal DNA genes
<p><b>Table 6.</b> Number and proportion of shared short tandem repeats (STRs) in the rDNA of opalinids. For each species* the total number of STRs (T) and the proportion of STRs species specific (not shared with other sequences) (S)* STRs shared by species of the same genus (G)* and STRs shared by species of different genera (C) are given. Incomplete sequences (those lacking ≥100 bases at the 3 <i>ʹ</i> or 5 <i>ʹ</i> end) are shown in parentheses. Abbreviation: N/A* sequence not available.</p><table><tbody><tr><th><b>Species</b></th><th><b>SSU rDNA</b></th><th><b>ITS1</b></th><th><b>5.8S rDNA</b></th><th><b>ITS2</b></th><th><b>LSU rDNA</b></th></tr><tr><th><b>T</b></th><th><b>S</b></th><th><b>G</b></th><th><b>C</b></th><th><b>T</b></th><th><b>S</b></th><th><b>G</b></th><th><b>C</b></th><th><b>T</b></th><th><b>S</b></th><th><b>G</b></th><th><b>C</b></th><th><b>T</b></th><th><b>S</b></th><th><b>G</b></th><th><b>C</b></th><th><b>T</b></th><th><b>S</b></th><th><b>G</b></th><th><b>C</b></th></tr><tr><th>OPALINIDA</th></tr></tbody><tbody><tr><th>(<i>Protoopalina axonucleata</i>)</th><td>45</td><td>13.3</td><td>35.6</td><td>51.1</td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td></tr><tr><th>(<i>Protoopalina intestinalis</i>)</th><td>52</td><td>11.5</td><td>38.5</td><td>50.0</td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td></tr><tr><th><i>Protoopalina limnocharis</i></th><td>68</td><td>14.7</td><td>29.4</td><td>55.9</td><td>19</td><td>31.6</td><td>68.4</td><td>0</td><td>5</td><td>0.0</td><td>20.0</td><td>80.0</td><td>16</td><td>25.0</td><td>75.0</td><td>0.0</td><td>177</td><td>3.4</td><td>47.5</td><td>49.1</td></tr><tr><th><i>Protoopalina pingi</i></th><td>68</td><td>14.7</td><td>29.4</td><td>55.9</td><td>20</td><td>35.0</td><td>65.0</td><td>0</td><td>5</td><td>0.0</td><td>20.0</td><td>80.0</td><td>15</td><td>20.0</td><td>80.0</td><td>0.0</td><td>179</td><td>4.5</td><td>46.9</td><td>48.6</td></tr><tr><th><i>Zelleriella orientalis</i></th><td>95</td><td>0.0</td><td>41.0</td><td>59.0</td><td>22</td><td>0.0</td><td>95.5</td><td>4.5</td><td>9</td><td>0.0</td><td>33.3</td><td>66.7</td><td>23</td><td>0.0</td><td>91.3</td><td>8.7</td><td>203</td><td>3.5</td><td>23.6</td><td>72.9</td></tr><tr><th><i>Zelleriella</i> sp.</th><td>95</td><td>0.0</td><td>41.0</td><td>59.0</td><td>22</td><td>0.0</td><td>95.5</td><td>4.5</td><td>9</td><td>0.0</td><td>33.3</td><td>66.7</td><td>23</td><td>0.0</td><td>91.3</td><td>8.7</td><td>212</td><td>6.1</td><td>22.7</td><td>71.2</td></tr><tr><th><i>Opalina undulata</i></th><td>104</td><td>12.5</td><td>33.7</td><td>53.8</td><td>26</td><td>80.8</td><td>15.4</td><td>3.8</td><td>8</td><td>0.0</td><td>37.5</td><td>62.5</td><td>25</td><td>44.0</td><td>48.0</td><td>8.0</td><td>213</td><td>10.3</td><td>19.3</td><td>70.4</td></tr><tr><th><i>Opalina triangulata</i></th><td>103</td><td>11.6</td><td>34.0</td><td>54.4</td><td>24</td><td>79.1</td><td>16.7</td><td>4.2</td><td>8</td><td>0.0</td><td>37.5</td><td>62.5</td><td>26</td><td>46.2</td><td>46.2</td><td>7.6</td><td>207</td><td>7.7</td><td>19.8</td><td>72.5</td></tr><tr><th><i>Opalina obtrigonoidea</i></th><td>104</td><td>12.5</td><td>33.7</td><td>53.8</td><td>27</td><td>81.5</td><td>14.8</td><td>3.7</td><td>8</td><td>0.0</td><td>37.5</td><td>62.5</td><td>26</td><td>46.2</td><td>46.2</td><td>7.6</td><td>217</td><td>12.0</td><td>18.9</td><td>69.1</td></tr><tr><th><i>Opalina japonica</i></th><td>103</td><td>11.6</td><td>34.0</td><td>54.4</td><td>25</td><td>80.0</td><td>16.0</td><td>4.0</td><td>8</td><td>0.0</td><td>37.5</td><td>62.5</td><td>29</td><td>51.7</td><td>41.4</td><td>6.9</td><td>215</td><td>11.2</td><td>19.1</td><td>69.7</td></tr><tr><th><i>Opalina longa</i></th><td>105</td><td>13.4</td><td>33.3</td><td>53.3</td><td>20</td><td>75.0</td><td>20.0</td><td>5.0</td><td>8</td><td>0.0</td><td>37.5</td><td>62.5</td><td>25</td><td>44.0</td><td>48.0</td><td>8.0</td><td>213</td><td>10.3</td><td>19.3</td><td>70.4</td></tr><tr><th>PROTEROMONADIDA</th></tr><tr><th><i>Karotomorpha</i> sp. a*b</th><td>52</td><td>36.5</td><td></td><td>63.5</td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td></tr><tr><th><i>Proteromonas lacertae</i> b</th><td>56</td><td>41.1</td><td></td><td>58.9</td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td><td>N/A</td><td></td><td></td><td></td></tr></tbody></table><p><sup>aThe</sup> data presented correspond to the sequence with accession number DQ431242;the <i>Karotomorpha</i> sp. DQ431243 sequence is partial and has not been considered for this analysis.</p><p><sup>bData</sup> are available for only one species per genus;STRs are therefore considered in two categories* as species/genus specific* or as shared with other genera.</p>
Table 5 in A revised taxonomy and phylogeny of opalinids (Stramenopiles: Opalinata) inferred from the analysis of complete nuclear ribosomal DNA genes
<p><b>Table 5.</b> Types of short tandem repeats (STRs) found in the sequences from opalinids.</p><table><tbody><tr><th><b>Type</b></th><th><b>Characteristics</b></th><th><b>Example</b></th><th><b>Sequence (position)</b></th></tr></tbody><tbody><tr><th>Direct</th><td>Head to tail</td><td></td><td></td></tr><tr><th>Perfect</th><td>All units equal</td><td>TAATAATAATAATAA</td><td><i>Opalina undulata</i> MN 638758 (3423)</td></tr><tr><th>Imperfect</th><td>With substitutions and/or indels</td><td>AGTTT ATTTT AATTT</td><td><i>Zelleriella</i> sp. MN638763 (1762)</td></tr><tr><th>Overlapped</th><td>STR includes bases</td><td>TTTA[T ATTAT]/ [TAT TAT] TAT</td><td><i>Protoopalina limnocharis</i> MN 638759 (1493/1497)</td></tr><tr><th>Inverted</th><td>Head to head</td><td></td><td></td></tr><tr><th>Perfect</th><td>All units equal</td><td>TTTATAATATTT</td><td><i>Opalina triangulata</i> MN 638762 (470)</td></tr><tr><th>Imperfect</th><td>With substitutions and/or indels</td><td>TTATTATTATTATTTTTTTTATTA(-) TATTATT</td><td><i>Opalina japonica</i> MN 638764 (73)</td></tr></tbody></table>
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>
Fig. 3 in Phylogenomics of the tropical plant family Ochnaceae using targeted enrichment of nuclear genes and 250+ taxa
Fig. 3. Continued. RAxML tree based on the concatenated 83 nuclear loci of the LEO dataset. Numbers on the branches are bootstrap values (BS)>50%; additionally, LPP and quartet support values (QSV) from MSC analysis (see suppl. Fig. S4) are given in the order BS/LLP/QSV for nodes along the backbone of Ochneae. The indicated classification of subfamilies and tribes follows Schneider & al. (2014). Numbers in parentheses after species names correspond to the specimen IDs (only for species with multiple accessions).
Data from: The evolutionary history of ferns inferred from 25 low-copy nuclear genes
Premise of the study: Understanding fern (monilophyte) phylogeny and its evolutionary timescale is critical for broad investigations of the evolution of land plants, and for providing the point of comparison necessary for studying the evolution of the fern sister group, seed plants. Molecular phylogenetic investigations have revolutionized our understanding of fern phylogeny, however, to date, these studies have relied almost exclusively on plastid data. Methods: Here we take a curated phylogenomics approach to infer the first broad fern phylogeny from multiple nuclear loci, by combining broad taxon sampling (73 ferns and 12 outgroup species) with focused character sampling (25 loci comprising 35877 bp), along with rigorous alignment, orthology inference and model selection. Key results: Our phylogeny corroborates some earlier inferences and provides novel insights; in particular, we find strong support for Equisetales as sister to the rest of ferns, Marattiales as sister to leptosporangiate ferns, and Dennstaedtiaceae as sister to the eupolypods. Our divergence-time analyses reveal that divergences among the extant fern orders all occurred prior to ∼200 MYA. Finally, our species-tree inferences are congruent with analyses of concatenated data, but generally with lower support. Those cases where species-tree support values are higher than expected involve relationships that have been supported by smaller plastid datasets, suggesting that deep coalescence may be reducing support from the concatenated nuclear data. Conclusions: Our study demonstrates the utility of a curated phylogenomics approach to inferring fern phylogeny, and highlights the need to consider underlying data characteristics, along with data quantity, in phylogenetic studies.
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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.