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713 results for “population genetic structure”
Figure 1 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 1. Distribution map of the investigated populations of S. limbata (numbers indicated populations according to Table 1).
Fig. 3. The genetic distances among populations. A in Phylogeography and Genetic Structure of the Bush Cricket (Orthoptera, Tettigoniidae) in Southern China.
Fig. 3. The genetic distances among populations. A: based on Kimura's 2-parameter; B: based on Tamura 3-parameter.
Fig. 3 in Fig. 3 in Genetic Structure of the Mangrove Killifish Costa, 2011 (Cyprinodontiformes: Aplocheiloidei) Supports A Wide Connection among its Populations.
Fig. 3. Haplotype network of the Kryptolebias marmoratus species group. Maps represent the distribution of each group.
Fig. 2 in Fig. 3 in Genetic Structure of the Mangrove Killifish Costa, 2011 (Cyprinodontiformes: Aplocheiloidei) Supports A Wide Connection among its Populations.
Fig. 2. Distribution of K. hermaphroditus: Orange star indicates type locality; and Green circles indicate recorded localities for the species (Costa 2011; 2016; Sarmento-Soares et al. 2014; Lira et al. 2015; Berbel-Filho et al. 2016; Guimarães-Costa et al. 2017; Tatarenkov et al. 2017a; This study).
Fig. 1 in Fig. 3 in Genetic Structure of the Mangrove Killifish Costa, 2011 (Cyprinodontiformes: Aplocheiloidei) Supports A Wide Connection among its Populations.
Fig. 1. Kryptolebias hermaphroditus from Tutóia, Maranhão State, Delta do Parnaíba, north eastern Brazil; UFRJ12666: A: Hermaphrodite, 35.5 mm SL; B: Male, 20.3 mm SL; C: Male, 28.9 mm SL.
Fig. 2 in Genetic diversity and population structure of endangered Neofinetia falcata (Orchidaceae) in South Korea based on microsatellite analysis
Fig. 2. Structure analyses for putative genetic clusters of N. falcata. A: Graphs of ΔK values to determine the ideal number of groups present in the accessions of N. falcata. B: Estimated genetic structure of the 3 populations of brinjal based on STRUCTURE analysis K = 2 and K = 3.
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 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.
Figure 2. Bayesian posterior probability 50 in Population genetic structure and demographic history of the Chinese endemic Mongoloniscus sinensis (Dollfus, 1901) (Isopoda: Oniscidea)
Figure 2. Bayesian posterior probability 50% majority-rule consensus tree of the M. sinensis haplotypes. Out-group was Ligia occidentalis; the map showed mitochondrial haplotype clades of Porcellio gigliotose and Trachelipus semiproiectus. The numbers above joints are the bootstrap support values of MP value, ML value, and the posterior probabilities of the BI tree, respectively (MP/ML/BI).
Figure 1 in Population genetic structure and demographic history of the Chinese endemic Mongoloniscus sinensis (Dollfus, 1901) (Isopoda: Oniscidea)
Figure 1. Locations of sampled populations and geographical distribution of Mongoloniscus sinensis mtDNA clades. Mountain ranges are in green letters as follows: H—Heng Mountain, TH—Taihang Mountain, WT—Wutai Mountain, LL—Lvliang Mountain, TY–Taiyue Mountain, ZT—Zhongtiao Mountain.
Figure 3 in Population genetic structure and demographic history of the Chinese endemic Mongoloniscus sinensis (Dollfus, 1901) (Isopoda: Oniscidea)
Figure 3. Parsimonious network of M. sinensis haplotypes. Each circle represents a haplotype, with the area of the circle proportional to its frequency. The evolutionary clades C1 - C6 are shown in different colors, and median vector (mvl-mv3) is indicated in red.
Figure 4 in Genetic diversity, population structure and demographic history of Dugesia japonica in Taihang Mountains
Figure 4. Median-joining haplotype network based on mitochondrial gene COI. The four ellipses represent four clades in Figure 3, respectively. Each circle represents a haplotype, the area of the circle is proportional to the frequency of haplotypes, and black dots represent hypothetical unobserved haplotypes. Different populations are shown in different colors.
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