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Figure 2 in Genetic diversity and Kdr mutations of natural Aedes (Stegomyia) aegypti (Diptera: Culicidae) populations of Brazil
Figure 2 Haplotype network of ND4 gene of Aedes aegypti populations of the six minicipalities of Paraná and others from America (Gonçalves da Silva et al., 2012). The mosquitoes referring to this analysis were renamed with PR next to the haplotype number (ex: H1PR), to differentiate from the haplotypes (H) found by Gonçalves da Silva et al. (2012). The rectangle represents the ancestral haplotype. The smaller circles connecting the identified haplotypes correspond to the non-sampled haplotypes (missing haplotypes) and classified as intermediaries.
Figure 6 in Morphometric and genetic variability among Mediterranean cereal cyst nematode (Heterodera latipons) populations in Turkey
Figure 6. Phylogenetic tree (maximum likelihood) constructed through the ITS sequence alignment from 42 populations of Heterodera latipons. Bootstrap values (more than 60%) are given for the appropriate clades. Populations are designated with the code described in Table 1.
Figure 4 in Genetic structure and population dynamics of the silver pheasant (Lophura nycthemera) in southern China
Figure 4. Bayesian tree based on mitochondrial haplotypes (1053 bp, selected model of HKY+I+G). It exhibits the phylogenetic relationships of silver pheasant, and three species (L. hatinhensis, L. leucomelanos, and L. swinhoii) are noticeable outgroups. Above branches there are numbers indicating Bayesian posterior probabilities, whereas below branches there are bootstrap values produced by ML. Each colored line represents a geographic population, while the line in black represents the shared haplotype.
Figure 3 in Genetic structure and population dynamics of the silver pheasant (Lophura nycthemera) in southern China
Figure 3. mtDNA MJN for silver pheasant. Circle size represents proportion of haplotype. Circles with single color indicate a private haplotype, whereas circles with two or more colors represent a shared haplotype.
Figure 1 in Genetic structure and population dynamics of the silver pheasant (Lophura nycthemera) in southern China
Figure 1. According to geodistance and topographic characters, we sorted sampling sites into geographic populations. The sampling sites including 7 provinces: Sichuan, Anhui, Jiangxi, Fujian, Zhejiang, Hubei, and Hunan. The abbreviation are as follows: Sichuan (SC), Anhui (AH), Jiangxi (JX), Fujian (FJ), Zhejiang (ZJ), Hubei (HB), Hunan (HN).
Figure 2 in Genetic structure and population dynamics of the silver pheasant (Lophura nycthemera) in southern China
Figure 2. Bayesian skyline plot of whole population of silver pheasant. The expansion time was computed by tau = 2µkt. The solid line means the estimated average effective population size and the dashed line represents 95% confidence interval.
Figure. Phylogram showing phylogenetic relationships estimated using maximum likelihood analysis of 16S rRNA and COXI gene revealed the grouping of Orthochirus iranus, O. farzanpay, O. stockwelli, O. zagrosensis, O. innesi (JQ514244.1 Morocco), and O. bicolor (KT716038.1 India), with the outgroup species Androctonus crassicauda (FJ217732). in A study of genetic diversity among different population of Orthochirus sp. based on cytochrome C oxidase subunit I and 16srRNA sequencing
Figure. Phylogram showing phylogenetic relationships estimated using maximum likelihood analysis of 16S rRNA and COXI gene revealed the grouping of Orthochirus iranus, O. farzanpay, O. stockwelli, O. zagrosensis, O. innesi (JQ514244.1 Morocco), and O. bicolor (KT716038.1 India), with the outgroup species Androctonus crassicauda (FJ217732).
Figure 1. Relationships among C in Genetic diversity of codling moth Cydia pomonella L. (Lepidoptera: Tortricidae) populations in Turkey
Figure 1. Relationships among C. pomonella Turkish individuals (the red label shows the 1st group and the black label shows the 2nd group).
Figure 3 in Genetic diversity of codling moth Cydia pomonella L. (Lepidoptera: Tortricidae) populations in Turkey
Figure 3. Median Joining Network based on mitochondrial COI haplotypes. Each circle shows a haplotype, and the circles are related with observed specimens. Colors within the nodes indicate C. pomonella sampling areas. Turkish populations of C. pomonella show the 2 clades.
Figure 4 in Microsatellite based genetic diversity of Mediterranean fruit fly (Ceratitis capitata, Diptera: Tephritidae) populations from Southwest Turkey
Figure 4. ΔK distribution along with different values of clusters (K) for 7 populations depending on Evanno's method (Evanno et al. 2005) using Structure Harvester application.
Figure 2 in Microsatellite based genetic diversity of Mediterranean fruit fly (Ceratitis capitata, Diptera: Tephritidae) populations from Southwest Turkey
Figure 2. Unrooted Neighboor-Joinning (NJ) tree of 7 C. capitata populations using 8 polymorphic microsatellite markers.
Figure 2 in Population Genetic Structure of Testudo hermanni boettgeri (Hermann's Tortoise) in Türkiye
Figure 2.UPGMA distance tree created using the Reynolds (1983) weighted model (the node values are bootstrap values estimated with 1000 permutations).
Figure 1 in Population Genetic Structure of Testudo hermanni boettgeri (Hermann's Tortoise) in Türkiye
Figure 1. Sampling localities of T. h. boettgeri (Loc 1: Malkara, Loc 2: Orhaniye, Loc 3: Hanlıyenice, Loc 4: Adasarhan, Loc 5: Balabanlı, Loc 6: İpsala, Loc 7: Hacılar, Loc 8: Şeytanderesi, Loc 9: Meriç, Loc10: Taşlısekban, Loc 11: Kırklareli, Loc 12: Çöpköy, Loc 13: Demirköy, Loc 14: Erikler, and Loc 15: Keşan; the colorations symbolize the clusters).
Figure 3 in Population Genetic Structure of Testudo hermanni boettgeri (Hermann's Tortoise) in Türkiye
Figure 3. Population assignment test performed with Structure. (A) Barplots that estimated membership coefficients of the analyzed individuals in each locality. (B) Barplot, K = 2, clusters for 8 groups in the UPGMA distance tree. (C) Graph of ∆K as a function of the number of groups K, (Evanno's method) (the numbers on the barplots symbolize the sampling localities).
Figure 4 in Population Genetic Structure of Testudo hermanni boettgeri (Hermann's Tortoise) in Türkiye
Figure 4. Maps of the population clusters (K) identified by GENELAND. (A) Map spatial distribution of each group defined, K = 2. (B) Map of the posterior probability defined, K = 2 (the numbers symbolize the sampling localities, the colors in A and B symbolize the clusters inferred in STRUCTURE).
Fig. 2 in Impacts of a highway on the population genetic structure of a threatened freshwater turtle (Glyptemys insculpta)
Fig. 2. Estimate of short-term gene flow among populations north and south of Interstate Highway 88 (gray bar) and the Susquehanna River (dashed line) shown with 95% confidence intervals. Circle size reflects relative sample size. Values inside of circles represent the contribution of gene flow from within populations.
Fig. 1. Study area. Interstate Highway 88 in Impacts of a highway on the population genetic structure of a threatened freshwater turtle (Glyptemys insculpta)
Fig. 1. Study area. Interstate Highway 88 (I-88) and the Susquehanna River (Susq.) bisect Otsego and Delaware Counties, New York, USA.
Fig. 1 in An assessment of ectoparasites across highland and lowland populations of Leadbeater's possum (Gymnobelideus leadbeateri): Implications for genetic rescue translocations
Fig. 1. Fleas detected on the Leadbeater's possum (Gymnobelideus leadbeateri); Stephanocircus domrowi (panel A), Choristopsylla tristis (panel B), Wurunjerria warnekei (panel C), Acanthopsylla rothschildii rothschildii (panel D).
FIGURE 2 in Development of microsatellite loci and population genetics of the catfish Pimelodus yuma (Siluriformes: Pimelodidae)
FIGURE 2 | Discriminant analysis of principal components for nine microsatellite loci and 138 individuals of Pimelodus yuma in three sections (S4/5, S6 and S7/8) of the Cauca River.
FIGURE 1 in Development of microsatellite loci and population genetics of the catfish Pimelodus yuma (Siluriformes: Pimelodidae)
FIGURE 1 | Studied sampling sites of Pimelodus yuma along the lower sections (S4–S8) of the Cauca River. The pentagons indicate sampling sites in floodplain lakes and the stars indicate sites along the main channel of the river.
ScienceDex guides
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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.