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57 results for “phylogenetic markers”
FIGURE 3. Phylogenetic reconstruction for 30 in Revision of the Genus Leptogomphus Selys in Borneo, including gene trees and a two marker molecular phylogeny (Odonata: Anisoptera: Gomphidae)
FIGURE 3. Phylogenetic reconstruction for 30 specimens of Leptogomphus and three outgroup taxa using the combined COI+ITS dataset. The best Maximum Likelihood tree is shown, with posterior probabilities from the Bayesian Inference analysis also depicted on the branches. Bootstrap values and posterior probabilities are shown if less than 100 or 1.0 respectively. RMNH collection codes are shown for each specimen, as well as the sex of the specimen and an indication of where it was collected.
FIGURE 3 in Molecular phylogenetic analysis of subfamilial placement of Haplotropis Saussure, 1888 (Orthoptera: Pamphagidae) based on mitochondrial and nuclear DNA markers
FIGURE 3. Phylogenetic tree based on the nucleotide sequences of ITS2 region of Pamphagidae. Support values shown as: SH-aLRT support/ ultrafast bootstrap (probability> 80/90 considered significant). The brackets on the right side show subfamily and family clusters.
FIGURE 2 in Molecular phylogenetic analysis of subfamilial placement of Haplotropis Saussure, 1888 (Orthoptera: Pamphagidae) based on mitochondrial and nuclear DNA markers
FIGURE 2. Phylogenetic tree based on the nucleotide sequences of COII mitochondrial gene of Pamphagidae. Support values shown as: SH-aLRT support/ ultrafast bootstrap (probability> 80/90 considered significant). The brackets on the right side show subfamily and family clusters.
FIGURE 1 in Molecular phylogenetic analysis of subfamilial placement of Haplotropis Saussure, 1888 (Orthoptera: Pamphagidae) based on mitochondrial and nuclear DNA markers
FIGURE 1. Phylogenetic tree, based on the nucleotide sequences of COI mitochondrial gene of Pamphagidae. Support values shown as: SH-aLRT support/ultrafast bootstrap (probability> 80/90 considered significant). The brackets on the right side show subfamily and family clusters.
FIGURE 8 in Resolving the phylogenetic affinities of Kappaphycus inermis within the genus Kappaphycus (Gigartinales, Solieriaceae) using mitochondrial and plastid markers
FIGURE 8. Phylogenetic tree hypothesized from ML analysis of the genus Kappaphycus based on RuBisCo spacer gene sequences. Numbers above branches correspond to BI probability values and ML bootsrap percent values.
FIGURE 7 in Resolving the phylogenetic affinities of Kappaphycus inermis within the genus Kappaphycus (Gigartinales, Solieriaceae) using mitochondrial and plastid markers
FIGURE 7. Phylogenetic tree hypothesized from ML analysis of the genus Kappaphycus based rbcL gene sequences. Numbers above branches correspond to BI probability values and ML bootsrap percent values.
FIGURE 6 in Resolving the phylogenetic affinities of Kappaphycus inermis within the genus Kappaphycus (Gigartinales, Solieriaceae) using mitochondrial and plastid markers
FIGURE 6. Phylogenetic tree hypothesized from ML analysis of the genus Kappaphycus based on cox2–3 spacer gene sequences. Numbers above branches correspond to BI probability values and ML bootsrap percent values.
FIGURE 5 in Resolving the phylogenetic affinities of Kappaphycus inermis within the genus Kappaphycus (Gigartinales, Solieriaceae) using mitochondrial and plastid markers
FIGURE 5. Phylogenetic tree hypothesized from ML analysis of the genus Kappaphycus based on cox1 gene sequences. Numbers above branches correspond to BI probability values and ML bootsrap percent values.
FIGURES 1–4 in Resolving the phylogenetic affinities of Kappaphycus inermis within the genus Kappaphycus (Gigartinales, Solieriaceae) using mitochondrial and plastid markers
FIGURES 1–4. Morphology of K. inermis. 1. Gross habit of K. inermis specimen, AOL616. Scale = 1 cm. The arrow indicates the presence of crustose holdfast. 2. Cross section of near apical tip showing medium and uniformly sized central medullary cells (arrow), AOL616. Scale = 125 µm. 3. Gross habit of a female K. inermis specimen, AOL538. Scale = 3 cm. 4. A portion of an inflated apical branch tip showing the location of cystocarps (arrows), AOL538. Scale= 1 cm.
Figure 11. Phylogenetic relationships within the Xiphinema americanum-group complex. Bayesian 50 in Cryptic diversity and species delimitation in the Xiphinema americanum-group complex (Nematoda: Longidoridae) as inferred from morphometrics and molecular markers
Figure 11. Phylogenetic relationships within the Xiphinema americanum-group complex. Bayesian 50% majority rule consensus tree as inferred from partial cytochrome c oxidase subunit I (coxI) sequence alignment under a transversional of invariable sites and gamma-shaped distribution model TVM + I + G model. Posterior probabilities more than 65% are given for appropriate clades; bootstrap values greater than 50% are given on appropriate clades in the maximum likelihood analysis. Sequences newly obtained in this study in this study are in bold. Scale bar = expected changes per site.
Figure 10. Phylogenetic relationships within the Xiphinema americanum-group complex. Bayesian 50 in Cryptic diversity and species delimitation in the Xiphinema americanum-group complex (Nematoda: Longidoridae) as inferred from morphometrics and molecular markers
Figure 10. Phylogenetic relationships within the Xiphinema americanum-group complex. Bayesian 50% majority rule consensus tree as inferred from internal transcribed spacer 1 (ITS1) rRNA sequence alignment under the general timereversible and gamma-shaped distribution model. Posterior probabilities more than 65% are given for appropriate clades; bootstrap values greater than 50% are given on appropriate clades in the maximum likelihood analysis. Sequences newly obtained in this study are in bold. Scale bar = expected changes per site.
Fig. 3 in Specialised metabolites as chemotaxonomic markers of Coptosapelta diffusa, supporting its delimitation as sisterhood phylogenetic relationships with Rubioideae
Fig. 3. The current most likely phylogenetic backbone of Rubiaceae based on nuclear (a), chloroplast (b) and mitochondrial (c) data sensu Rydin et al., (2017) and Wikstrom et al., 2020
Development of novel, Exon-Primed Intron-Crossing (EPIC) markers from EST databases and evaluation of their phylogenetic utility in Commiphora (Burseraceae)
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Data from: Stalking the fourth domain in metagenomic data: searching for, discovering, and interpreting novel, deep branches in phylogenetic trees of phylogenetic marker genes
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Data from: Phylogenetic marker development for target enrichment from transcriptome and genome skim data: the pipeline and its application in southern African Oxalis (Oxalidaceae)
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Data from: The first set of universal nuclear protein-coding loci markers for avian phylogenetic and population genetic studies
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Data from: Developing nuclear DNA phylogenetic markers in the angiosperm genus Leucadendron (Proteaceae): a next-generation sequencing transcriptomic approach
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Genomic SSR and EST-SSR markers for phylogenetic and pedigree reconstruction: A comparison in sea buckthorn
<p>Simple sequence repeat (SSR) markers play an important role in genetic and molecular breeding programs, especially for non-model species. We identified SSRs from expressed sequence tags (EST-SSRs) and whole genome sequences (gSSRs), by analyzing the transcriptome and genome of the Mongolian sea buckthorn (<i>Hippophae rhamnoides</i> subsp. <i>Mongolica</i>) cultivar 'Sunny'<i>.</i> Using the same number of loci, EST-SSRs showed higher transferability to <i>Hippophae </i>than gSSRs, and phylogenetic trees based on EST-SSRs demonstrated higher resolution for classifying <i>Hippophae </i>species and subspecies into clades, possibly due to high conservatism and/or existence of adaptive divergence between species/subspecies in coding sequence regions. In contrast, parentage analyses showed that gSSRs were more effective at resolving parentage than EST-SSRs due to higher level of polymorphism in gSSRs. The markers developed in this study can be used in the identification and pedigree reconstruction of species/subspecies of sea buckthorn, while their usage in clarifying phylogenetic relationship among species remains to be discussed. The comparison between EST-SSRs and gSSRs would provide insight into the trade-off between differentiation and polymorphism in marker selection for breeding programs.</p>
Reappraising plastid markers of the red algae for phylogenetic community ecology in the gnomic era
<p>Selection of appropriate genetic markers to quantify phylogenetic diversity is crucial for phylogenetic community ecology studies. Yet, systematic evaluation of marker genes for this purpose is scarcely done. Recently, the combined effort of the phycological community has produced a rich plastid genome resource with taxonomic representation spanning all of the major lineages of the red algae (Rhodophyta). As a proof-of-concept study, we leverage this resource to develop and apply a phylogenomic strategy to seek candidate plastid markers that best capture the identity of component species in an eDNA metabarcoding study. We ranked the core plastid genes of 107 published plastid genomes based on various sequence-derived properties and their tree distance to plastid genome phylogenies and found that the most widely used marker, <i>rbc</i>L,<i> </i>is not necessarily the optimal marker, while more informative markers might have been overlooked. We designed and tested PCR primers for several candidate marker genes, and successfully amplified one of these, <i>rpoC1</i>, for a taxonomically broad set of red algal specimens. We suggest that our general marker identification methodology and the <i>rpoC1</i> primers will be useful to the phycological community for eDNA metabarcoding of the red algae.</p>
Data from: Low-coverage, whole-genome sequencing of Artocarpus camansi (Moraceae) for phylogenetic marker development and gene discovery
Premise of the study: We used moderately low-coverage (17×) whole-genome sequencing of Artocarpus camansi (Moraceae) to develop genomic resources for Artocarpus and Moraceae. Methods and Results: A de novo assembly of Illumina short reads (251,378,536 pairs, 2 × 100 bp) accounted for 93% of the predicted genome size. Predicted coding regions were used in a three-way orthology search with published genomes of Morus notabilis and Cannabis sativa. Phylogenetic markers for Moraceae were developed from 333 inferred single-copy exons. Ninety-eight putative MADS-box genes were identified. Analysis of all predicted coding regions resulted in preliminary annotation of 49,089 genes. An analysis of synonymous substitutions for pairs of orthologs (Ks analysis) in M. notabilis and A. camansi strongly suggested a lineage-specific whole-genome duplication in Artocarpus. Conclusions: This study substantially increases the genomic resources available for Artocarpus and Moraceae and demonstrates the value of low-coverage de novo assemblies for nonmodel organisms with moderately large genomes.
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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)
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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.