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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).

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Fig. 4 in Pattern Of Genetic Variation Of Bottlenose Dolphins In Chinese Waters

Fig. 4. Plylogenetic reconstruction of Turisops mitochondrial control region haplotypes and some haplotypes of striped dolphin Stenella coeruleoalba and common dolphin Delphinus delphis, reconstructed using the neighbor joining algorithm with short-finned pilot whale Globicephala macrorhynchu as outgroup. Bootstrap values from 500 iterations are indicated near branches. Haplotype codes correspond to the codes in figure 1.

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Fig. 1 in Pattern Of Genetic Variation Of Bottlenose Dolphins In Chinese Waters

Fig. 1. Locations where bottlenose dolphins were sampled. Numerals within the square and circle symbols represent the sample size for truncatus-type and aduncus-type, respectively. QD, Qingdao, LYG, Lianyungang, ZS, Zhoushan, XM, Xiamen, DS, Dongshan, TS, Taiwan Strait, BH, Beihai

Fig. 7 in Genetic and morphological variation of metacercariae of Microphallus piriformes (Trematoda, Microphallidae): Effects of paraxenia and geographic location

Fig. 7. Variability of metacercarial body shape within hemipopulations and infrapopulations of M. piriformes. A: Absolute and relative morphological disparity (MD) of metacercariae within hosts of the same species. B: Distribution of morphological disparity (MD) within individual snails grouped by host species and sampling location.

Fig. 4 in Genetic and morphological variation of metacercariae of Microphallus piriformes (Trematoda, Microphallidae): Effects of paraxenia and geographic location

Fig. 4. Haplotype networks, COI sequence (369 bp); TCS algorithm; dashes correspond to mutations. A: color reflects sampling location. B: color reflects host species.

Fig. 5 in Genetic and morphological variation of metacercariae of Microphallus piriformes (Trematoda, Microphallidae): Effects of paraxenia and geographic location

Fig. 5. PCA-ordination of individual M. piriformes metacercariae body shapes grouped by host species. PC1 can be interpreted as a deepness of a "waist" between locomotory and generative body parts; PC2 can be interpreted as a width of locomotory body part. B: Pairwise post-hoc comparison; significant value are shown as bold (considering Holmes correction for multiple comparison); host species: sax – L. saxatilis; obt – L. obtusata; sampling site: Kib - Barents Sea, Kiberg; Kor – White Sea, Korga-Islet; Zel – Barents Sea, Dalnie Zelentsy.

Fig. 1 in Genetic and morphological variation of metacercariae of Microphallus piriformes (Trematoda, Microphallidae): Effects of paraxenia and geographic location

Fig. 1. The map of the study region (image: TerraMetrics, map data: Google). Sample collection sites (Tromsø city, Kiberg settlement, Dalnie Zelentsy settlement, Sredny Island) are shown.

Fig. 8 in Genetic and morphological variation of metacercariae of Microphallus piriformes (Trematoda, Microphallidae): Effects of paraxenia and geographic location

Fig. 8. Body size of M. piriformes metacercariae from different host species and sampling locations. Mean centroid size and 95% confidence interval obtained via bootstrap.

Fig. 3 in Genetic and morphological variation of metacercariae of Microphallus piriformes (Trematoda, Microphallidae): Effects of paraxenia and geographic location

Fig. 3. Bayesian inference based on COI sequence (369 bp); 15000000 generation; GTR + I + G substitution model; A posteriori probabilities are indicated by node shapes; sample name includes parasite species (pir – M. piriformes, pyg – M. pygmaeus, tri – M. triangulatus, sim – M. similis), sample number, geographic region and location (WSk – White Sea, Korga-Islet; WSy – White Sea, Yakovleva; DZe – Barents Sea, Dalnie Zelentsy; Kib - Barents Sea, Kiberg; Tro - Norwegian Sea, Tromsø), host species (sax – L. saxatilis; arc – L. arcana; comp – L. compressa; obt – L. obtusata; fab – L. fabalis). Identical haplotypes and the FST-value of differentiation between populations (Weir, and Cockerham, 1984) are shown in Supplementary Table 1. Branch color reflects geographic region.

Fig. 5 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation

Fig. 5. Decision tree used for specimens euthanized to obtain tissue. Blue indicates steps in the decision tree. Green indicates procedures that will lead to preservation of tissues for genetic study. Purple indicates procedures that lead to achieving multiple goals, including cell culture and obtaining gametes for current or future ARTs. NOTE: Breeding and IVF can result in offspring that can be used for genetic purposes, thereby achieving multiple goals.

Fig. 6 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation

Fig. 6. Decision tree used to obtain tissue from live animals. Blue indicates steps in the decision tree. Green indicates procedures that will lead to preservation of tissues for genetic study. Purple indicates procedures that lead to achieving multiple goals, including obtaining gametes for current or future ARTs. NOTE: Breeding and IVF can result in offspring that can be used for genetic purposes, thereby achieving multiple goals.

Fig. 4 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation

Fig. 4. Length of time from cell culture initiation to freezing for amphibian cell lines in San Diego Zoo's Frozen Zoo®. Low = 19 days; high = 596 days; average = 154 days.

Fig. 3 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation

Fig. 3. The "tissue piecing" protocol used to preserve viable cells for establishment of cell lines in the future. A) Tissue is cut into long, thin strips. B) Tissue is diced into 1 mm3 fragments before adding medium containing 10% DMSO as a cryoprotectant. C) Prepared tissue is stored in LN2 until future cell culture is possible; those without cell culture capability can transport samples using a dry shipper to maintain cold-chain.

Fig. 2 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation

Fig. 2. Procedures used to obtain amphibian eggs or sperm for use in ARTs. A) Gravid female Leopard Frog (Lithobates sp.) after gonadotropic hormone injection. B) Expressing eggs into container by pressing on abdomen and pushing thumb toward cloaca; eggs can be fertilized (i.e., IVF) by fresh or cryopreserved sperm. Sperm can similarly be released from males by pushing towards the cloaca and releasing sperm naturally (in season) or after injection of gonadotropic hormones (e.g., HIS).

Fig. 1 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation

Fig. 1. Role of genetic resource collections in the research and conservation of amphibians. Green indicates the storage of tissues in biobanks. Purple indicates procedures associated with ARTs that lead to achieving multiple goals in amphibian research and conservation. Asterisk (*) denotes tissue or methodologies that are not currently used in ARTs but may be possible in the future. NOTE: For a more complete list of ARTs reference Clulow et al. (2014).

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Fig. 2 in Genetic and chemical profiling of Solenopsis spp. (Hymenoptera: Formicidae) intercepted in Hawaii

Fig. 2. The Gas Chromatography-Mass Spectrometry (GC-MS), total ion chro- matogram (TIC) of a methanol extract of a gaster from a single ant intercepted in 2019 at a port in Hawaii. The reported major venom alkaloids from Solenopsis geminata and Solenopsis xyloni are cis-2-methyl-6-undecyl-piperidine (peak 1) and trans-2-methyl-6-undecyl-piperidine (peak 3). This intercepted Solenopsis geminata worker has 2-methyl-6-undecyl-pyridine (peak 2) as its major component. The areas under peaks 1, 2, and 3 are proportional to their quantity. This is expressed on the graph as the percent composition of the 3 identified peaks. This is the first time that the pyridine (peak 2) has been reported as a major venom component of Solenopsis geminata. Components 1 and 3 have been identified in previous literature.