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15,277 results for “GENETICS”
Figure 1 in Genetic data to describe the hybrid zone between Bufo bufo (Linnaeus, 1758) and Bufo verrucosissimus (Pallas, 1814) in northeastern Türkiye
Figure 1. Admixture proportions of each population as illustrated by pie charts on the map of the study area (a) according to STRUCTURE results (b), with information on mtDNA haplotypes observed in each population displayed over the STRUCTURE barplot. The inset map, modified from Özdemir et al. (2020), represents the geographic range of the Bufo bufo species group, with arrows pinpointing the western hybrid zone between Bufo spinosus (Iberian Common Toad, in red) and Bufo bufo (Common Toad, in blue) and potential contact areas between Bufo bufo and Bufo verrucosissimus (Caucasian Toad, in yellow) in Türkiye. The scatterplots of PCA (c) and DAPC (d) represent three groups (Bb: Bufo bufo; Bv: Bufo verrucosissimus; Hybrid: YAY population). Green dashed lines: Rize borders; Ruby red dashed lines: Artvin borders; Cyan line: Çoruh River along Artvin.
Supporting molecular genetic data for a publication on Juvenile Paget Disease
Open the record for dataset details and reuse information.
Fig. 4 A in DNA barcoding and genetic variability of earthworms (Clitellata: Oligochaeta) with new records from Mizoram, India
Fig. 4 A MP tree showing 145 COI barcodes with Drawida japon- ▸ ica as out-group. Figure 4B BI tree with 145 COI barcodes with D. japonica as out-group
Fig. 3 in DNA barcoding and genetic variability of earthworms (Clitellata: Oligochaeta) with new records from Mizoram, India
Fig. 3 Barcode gap results: a ABGD analysis showing percentage of intra and interspecific divergence with 10–12% barcode gap; b BGA analysis shows percentage of interspecific divergence
Fig. 5 in DNA barcoding and genetic variability of earthworms (Clitellata: Oligochaeta) with new records from Mizoram, India
Fig. 5 Haplotype networking of 20 earthworm species of Mizoram, NER. In the network, each haplotype is represented by a circle, and the size of the circle is directly proportional to the number of homozygous haplotypes. The undetected haplotypes are indicated in small red circles, while the different colors indicate different haplotypes of 20 earthworm species. The out-group D. japonica is represented in a black circle (for more information, see Table 4)
FIGURE 1 in Combining morphology and population genetic analysis uncover species delimitation in the widespread African tree genus Santiria (Burseraceae)
FIGURE 1. Genetic clusters (GC) detected in Santiria samples from western Central Africa. Bayesian clustering analyses were performed on 479 individuals genotyped at 10 microsatellites loci. A. Variation in means of Ln (likelihood) of the data as a function of the number of hypothetical genetic clusters (K), showing a plateau at K=3. B. Histogram of genetic assignment of the 481 individuals at K = 3. C. Distribution of the three genetic clusters in western Central Africa, and delimitation of the distribution of each genetic cluster (dotted line: GC1, solid line: GC2, dashed line: GC3). We extended the distribution ranges of GC2 and GC3 because morphotypes of both genetic clusters were observed in the south of the Republic of the Congo. Note: Interm. GCx and GCy = intermediate individuals between GCx and GCy.
FIGURE 2 in Combining morphology and population genetic analysis uncover species delimitation in the widespread African tree genus Santiria (Burseraceae)
FIGURE 2. Extended Principal Component Analysis (the Hill-Smith ordination) of quantitative and qualitative traits assessed in 103 Santiria herbarium samples assigned to GC1 (N = 46, open circles), GC2 (N = 21, stars) and GC3 (N = 36, open triangles). Note: NL = number of leaflets per leaf; LL = length of leaves; LP = length of petiole; WP = width of petiole; LP/WP = ratio between LP and WP; TPeL = terminal petiolule length; TLL = terminal leaflet length; TLW = terminal leaflet width; TLL/TLW = ratio between TLL and TLW; TLWe = terminal leaflet weight dry portion; AL = apex length; GD = glandular dots; Le = lenticels.
FIGURE 1 in Genetic barcoding resolves the historically known red alga Champia parvula from southern New England, USA, as C. farlowii sp. nov. (Champiaceae, Rhodymeniales)
FIGURE 1. Distance analysis of the COI-5P barcode region using UPGMA for Champia species. Sequences other than C. farlowii and C. parvula are collapsed based on the automated barcode gap analysis. The arrow shows the gap in the distance histogram that was used to collapse nodes.
FIGURES 3–10 in Genetic barcoding resolves the historically known red alga Champia parvula from southern New England, USA, as C. farlowii sp. nov. (Champiaceae, Rhodymeniales)
FIGURES 3–10. Champia farlowii sp. nov. 3. P.B.-A. no. 592, as Champia parvula, from Massachusetts (Collins et al., 1899). Scale bar = 4 cm. 4. Holotype specimen [EC059] from Charleston, Rhode Island. Scale bar = 2 cm. 5. Apex of branch in longitudinal section showing single-layered septa between nodes, and longitudinal filaments bearing a gland cell (arrow) [CWS 94-3-5]. Scale bar = 200 μm. 6. Cortex of node showing complete lower layer and incomplete outer layer [CWS 09-39-7]. Scale bar = 50 μm. 7. Axial view showing branch originating in internode (arrow) [CWS 1318]. Scale bar = 100 μm. 8. Surface view showing tetrahedral sporangia in outer cortex [CWS 1318]. Scale bar = 50 μm. 9. Nodes showing one and many clustered cystocarps [CWS 1029]. Scale bar = 500 μm. 10. Longitudinal section of cystocarp demonstrating the 'tela arachnoidea' formed between carposporophyte (not shown) and pericarp wall [CWS 1029]. Scale bar = 500 μm.
FIGURE 2 in Genetic barcoding resolves the historically known red alga Champia parvula from southern New England, USA, as C. farlowii sp. nov. (Champiaceae, Rhodymeniales)
FIGURE 2. Phylogeny of the Champiaceae based on maximum-likelihood (ML) analysis of rbcL sequences with bootstrap values (1000 replicates). Champia farlowii is distinct from C. parvula from near the type locality (Spain) and a re-examination of C. parvula in the Caribbean Sea and Gulf of Mexico is warranted.
FIGURE9 in Population genetic study in Juglans regia L. (Persian walnut) and its taxonomic status within the genus Juglans L.
FIGURE9. Maximum Parsimony tree of Juglans regia species based on ITS sequences (Populations 1–7 are according to Table 1). Values above branches are bootstrap value.
FIGURE 8 in Population genetic study in Juglans regia L. (Persian walnut) and its taxonomic status within the genus Juglans L.
FIGURE 8. TCS Network of Juglans regia cultivars based on nrDNA ITS sequences (Populations 1–7 are according to Table 1). Culivars of Iran (Red colored) are differentiated from Italian cultivars (blue colored).
FIGURE7 in Population genetic study in Juglans regia L. (Persian walnut) and its taxonomic status within the genus Juglans L.
FIGURE7. UPGMA tree of Juglans regia cultivars based on nrDNA ITS sequences (Populations 1–7 are according to Table 1).
FIGURE6 in Population genetic study in Juglans regia L. (Persian walnut) and its taxonomic status within the genus Juglans L.
FIGURE6. PCoA of SRAP data after 1000 times permutation in the studied Persian walnut populations (Populations 1–7 are according to Table 1).
FIGURE5 in Population genetic study in Juglans regia L. (Persian walnut) and its taxonomic status within the genus Juglans L.
FIGURE5. STRUCTURE plot of the studied Persian walnut populations based on k = 2 (Populations 1–7 are according to Table 1).
FIGURE4 in Population genetic study in Juglans regia L. (Persian walnut) and its taxonomic status within the genus Juglans L.
FIGURE4. UPGMA plot of ISSR data in Persian walnut populations (Populations 1–7 are according to Table 1).
FIGURE3 in Population genetic study in Juglans regia L. (Persian walnut) and its taxonomic status within the genus Juglans L.
FIGURE3. PCA biplot of morphological characters in Persian walnut populations studied (Populations 1–7 are according to Table 1)
FIGURE2 in Population genetic study in Juglans regia L. (Persian walnut) and its taxonomic status within the genus Juglans L.
FIGURE2. UPGMA dendrogram of morphological characters in Persian walnut populations studied (Populations 1–7 are according to Table 1).
FIGURE1 in Population genetic study in Juglans regia L. (Persian walnut) and its taxonomic status within the genus Juglans L.
FIGURE1. Distribution map of the studied J. regia wild and cultivated populations (Populations code are according table1).
FIGURE 1. STRUCTURE analysis using microsatellite data shows that Sphagnum incundum form a separate genetic group from S. subnitens and S in Sphagnum incundum a new species in Sphagnum subg. Acutifolia (Sphagnaceae) from boreal and arctic regions of North America
FIGURE 1. STRUCTURE analysis using microsatellite data shows that Sphagnum incundum form a separate genetic group from S. subnitens and S. subfulvum. Sphagnum flavicomans seems to be a mixture of the recognized genetic groups. The upper panel shows data separated in two genetic groups, the middel panel shows the data separated in three genetic groups, and the lower one show the data separated in four genetic groups.
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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.