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353 results for “Molecular markers”
Supplementary data: Agro-morphological and molecular characterization reveal deep insights in promising genetic diversity and marker-trait associations in Fagopyrum esculentum and F. tataricum
<p>Our study focuses on the global/European buckwheat germplasm collected as part of the ECOBREDD project. The potential of this highly diverse collection for organic buckwheat breeding was evaluated at two complementary levels: phenotypic and genetic. Here, we characterized the phenotypic and genetic diversity of a global collection of the two cultivated buckwheat species <em>Fagopyrum esculentum</em> and <em>F. tataricum</em> (190 and 51 accessions, respectively) using 37 agro-morphological traits and 24 SSR markers (Simple Sequence Repeats) (see publication and info sheet of the data).</p>
Three systems of molecular markers reveal genetic differences between varieties sabina and balkanensis in the Juniperus sabina L. range
<p>Genotypes of 94 Juniperus sabina samples from 14 populations at SNP (Jsabina_SNPs.txt) and SilicoDArT (Jsabina_SilicoDArTs.txt) loci investigated using the DArTseq technology developed by Diversity Array Technology Pty Ltd (DArT, Canberra, ACT, Australia)</p>
Fig. 1 in Problematic Biases in the Availability of Molecular Markers in Protists: The Example of the Dinoflagellates
Fig. 1. Number of species of the most speciose dinoflagellate genera (> 11 species per genus). The empty bars represented the number of described species based on Gómez (2012a). The black bars represent the number of species with, at least, one nucleotide sequence available in DDBJ/EMBL/GenBank in January 2013.
Figure 3 in A review of molecular genetic markers and analytical approaches that have been used for delimiting marine mammal subspecies and species
Figure 3. Published values of percent divergence between cetacean subspecies (black bars), species (white bars), and taxa of uncertain taxonomic status (gray bars). Values are based on mtDNA control region sequence data. Not all values represent net sequence divergence. See Table 1 for list of papers corresponding to each value. Since completing this work, Sousa species have been supported ((Mendez et al. 2013) and Inia subspecies changed.
Figure 1 in A review of molecular genetic markers and analytical approaches that have been used for delimiting marine mammal subspecies and species
Figure 1. Sample sizes used in publications of molecular genetic studies of marine mammals at different taxonomic levels. Graphs present the proportion of studies at each taxonomic level that fall into each sample size category. (A) minimum total sample size per focal taxon; (B) maximum sample size per single sampling locality. Papers were categorized as examining taxonomic questions at: species = subspecies/species boundary; subspecies = population/subspecies boundary; uncertain = taxonomic boundary uncertain (see text).
Figure 2 in A review of molecular genetic markers and analytical approaches that have been used for delimiting marine mammal subspecies and species
Figure 2. Types of molecular genetic data used in published studies examining questions at the species-level, subspecies-level, or undefined taxonomic level for marine mammals. Note that studies may have used more than one data type. Mitochondrial DNA sequence data (MtDNASeq), nuclear DNA sequence data (NuSeq), microsatellites (Msats), morphological data (Morph).
Fig. 4 in Redescription And New Host Record Of Diplostamenides Sciaenae (Monogenea, Microcotylidae) And Its Phylogenetic Status Using Molecular Markers
Fig. 4. Phylogenetic tree topology of partial 18S rRNA nucleotide sequence data for different microcotylids and outgroup as diclidophorids through NJ and ME methods. The bootstrap values for 1000 replicates are shown as in the phylogram and branch length is genetic distance between taxa.
Fig. 3 in Redescription And New Host Record Of Diplostamenides Sciaenae (Monogenea, Microcotylidae) And Its Phylogenetic Status Using Molecular Markers
Fig. 3. Phylogenetic tree topology of parital 28S rRNA nucleotide sequence data for the members of microcotytlidae and outgroup of members of diclidophoridae through NJ and ME methods. The bootstrap values for 1000 replicates are shown as in the phylogram and branch length is genetic distance between taxa.
Fig. 1 in Redescription And New Host Record Of Diplostamenides Sciaenae (Monogenea, Microcotylidae) And Its Phylogenetic Status Using Molecular Markers
Fig. 1. Diplostamenides sciaenae: A — whole mount (ventral view): OS, oral sucker; P, pharyn×; OE, oesophagus; GA, genital atrium; IC, intestinal caecum; VI, vitellarium; H, haptor; C, clamp B — reproductive system: V, vas deferens; VD, vitelline duct; O, ovary; CVD, common vitelline duct; GIC, genitointestinal canal; OD, oviduct; OT, ootype; T, testes C — genital atrium and spines: AS, atrial spines; D — clamp and associated sclerites: SMD, scleritum marginal dorsale; SMV, scleritum marginal ventrale; SM, Scleritum median; SOB, scleritum obliqum basale; ETD, extreme terminal dorsale; ETV, extreme terminal ventrale.
Fig. 2 in Redescription And New Host Record Of Diplostamenides Sciaenae (Monogenea, Microcotylidae) And Its Phylogenetic Status Using Molecular Markers
Fig. 2. Diplostamenides sciaenae digital phototmicrographs (present study): A — whole mount; B — clamp and associated sclerites; C — gential atrium and spines; D — anterior region with oral suckers, pharyn× and oesophagus. Abbreviations are provided in figure 1.
Fig. 1 in Molecular Characterization Of Lates Niloticus (Perciformes, Latidae) Populations From Three Nigerian Waterbodies Using Random Amplified Polymorphic Dna And Microsatellite Markers
Fig. 1. Map showing the sample locations of L. niloticus (Linnaeus, 1758). Population 1 — Kainji lake, Population 2 — River Benue, Makurdi and Population 3 — Ikere-Gorge reservoir, Iseyin, Oyo state.
Fig. 4 in Fig. 1 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().
Fig. 4. Vizcainocypria viator gen. nov. sp. nov., male (MUVHNZY0011). A: A2. B: Right prehensile palp. C: Left prehensile palp. D: Hemipenis. E: Zenker organ. Scale bars: A–E = 50 µm.
Fig. 2 in Fig. 1 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().
Fig. 2. Vizcainocypria viator gen. nov. sp. nov., female (MUVHNZY0012). A: A1 (arrow pointing to apical claw on penultimate segment). B: A2. C: Md coxa. D: Md palp. E: Detail of α and β setae. F: Mxl. Scale bars: A–F = 50 µm.
Fig. 3 in Fig. 1 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().
Fig. 3. Vizcainocypria viator gen. nov. sp. nov., female (MUVHNZY0012). A: T1. B: T2. C: T3. D: CR. E: Caudal attachment. Scale bars: A–E = 50 µm.
Fig. 6 in Fig. 1 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().
Fig. 6. Male copulatory organs (hemipenes) of different species of Cyclocyprididae. A: Cyclocypris, B: Cypria, C: Physocypria, D: Dentocypria, E: Keysercypria, F: Brasilocypria, G: Claudecypria, H: Vizcainocypria. Redrawn from Almeida et al. (2023): F, G; Karanovic (2011): C (P. bullata), E; Hartmann (1959): H (V. granadae); Meisch (2000): A, B (C. exsculpta, C. ophtalmica), C (P. kraepelini); Savatenalinton (2017): D; Smith and Janz (2008): B (C. matzkeae), C (P. nipponica, P. biwaensis); Wouters (1984): B (C. subsalsa). Scale bars are shown when available: D. smithi = 46 µm; C. ovum, C. ophtalmica, C. subsalsa, P. nipponica, P. biwaensis, D. mesquitai, B. pea, B. alisonae, C. mesquitai, C. rochei, V. viator = 50 µm; C. matzkeae, P. bullata, K. affinis, K. deformis = 100 µm.
Fig. 1 in Fig. 1 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().
Fig. 1. Vizcainocypria viator gen. nov. sp. nov., female (A, C–G, I), male (B, H). A: Mature female specimen. B: Mature male specimen. C: CpL from right side (MUVHNZY0020). D: CpF (MUVHNZY0019). E: CpD (MUVHNZY0018). F: LVi (MUVHNZY0016). G: Detail of the internal tooth (MUVHNZY0016). H: RVi (MUVHNZY0011). I: Detail of the tubercles on RV margin (MUVHNZY0017). Scale bars: A–F, H = 200 µm; G = 10 µm; I = 5 µm.
Fig. 5. Maximum likelihood tree for 28S in Fig. 1 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().
Fig. 5. Maximum likelihood tree for 28S (A) and COX1 (B) genes. Red branches indicate the presence of tubercles on the RV margin.
Fig. 8. The IL-6 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().
Fig. 8. The IL-6 expression levels of Japanese eel and giant mottled eel reared in different spectra. W: white light; B: blue light; G: green light; R: red light; black: dark. Different letters indicate significant differences between different spectra groups of the same eel species (p <0.05).
Fig. 7 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().
Fig. 7. The LZM expression levels of Japanese eel and giant mottled eel reared in different spectra. W: white light; B: blue light; G: green light; R: red light; black: dark. Different letters indicate significant differences between different spectra groups of the same eel species (p <0.05).
Fig. 6 in Fig. 4 in Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels ().
Fig. 6. The SOD expression levels of Japanese eel and giant mottled eel reared in different light spectra. W: white light; B: blue light; G: green light; R: red light; black: dark. Different letters indicate significant differences between different spectra groups of the same eel species (p <0.05).
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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.