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Overcoming the Dichotomy: New Insights into the Genomic Diversity of Open and Isolated European Populations

The dataset includes autosomal data of 227 individuals of 9 Italian populations (Aosta, Benetutti, Carloforte, Lessinia Cimbrians, North Sardinia, Sappada, Sauris, Sulcis Iglesiente and Timau) genotyper with the GenoChip 2.0.

Fig. 1 in Wood Properties Of Nine Pinus Sylvestris Open-Pollinated Families Originating From Different Lithuanian Populations

Fig. 1. Field trials with open-pollinated progeny of Lithuanian Pinus sylvestris L. populations, established in 1983.

Fig 4 in Wood Properties Of Nine Pinus Sylvestris Open-Pollinated Families Originating From Different Lithuanian Populations

Fig 4. Wood ring width (total, early- and latewood) of nine Scots pine half-sib families in different field trials and forest types. Error bars indicate standard deviation.

Fig 5 in Wood Properties Of Nine Pinus Sylvestris Open-Pollinated Families Originating From Different Lithuanian Populations

Fig 5. Wood density (annual ring, early- and latewood) of nine Scots pine half-sib families in different field trials and forest types. Error bars indicate standard deviation.

Fig 3 in Wood Properties Of Nine Pinus Sylvestris Open-Pollinated Families Originating From Different Lithuanian Populations

Fig 3. Wood hardness of nine Scots pine half-sib families in different field trials and forest types. Error bars indicate standard deviation.

Fig. 1 in P H E N O T Y P I C P L A S T I C I T Y A N D N U C L E A R D N A Polymorphism Of Two Differing Pinus Sylvestris L. Open-Pollinated Families Originating From The Same Population

Fig. 1. Field trials with open-pollinated progeny of Lithuanian Pinus sylvestris L. populations, established in 1983. The tree samples for DNA analysis were taken from the labeled field trials.

Fig. 6 in P H E N O T Y P I C P L A S T I C I T Y A N D N U C L E A R D N A Polymorphism Of Two Differing Pinus Sylvestris L. Open-Pollinated Families Originating From The Same Population

Fig. 6. Distribution of genetic diversity values by Nei at 5 loci among the investigated Scots pine trials.

Fig. 4 in P H E N O T Y P I C P L A S T I C I T Y A N D N U C L E A R D N A Polymorphism Of Two Differing Pinus Sylvestris L. Open-Pollinated Families Originating From The Same Population

Fig. 4. Distribution of observed heterozygosity (HO) at 5 loci among the investigated Scots pine trials.

Fig. 8 in P H E N O T Y P I C P L A S T I C I T Y A N D N U C L E A R D N A Polymorphism Of Two Differing Pinus Sylvestris L. Open-Pollinated Families Originating From The Same Population

Fig. 8. Unweighted pair group method (UPGMA) dendrogram based on Nei's genetic distances among investigated half-sib open-pollinated families of one Lithuanian Pinus sylvestris L. population.

Figure 6 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses

Figure 6. Results of the Bayesian Analysis of Population Structure (BAPS) of the Necromys lasiurus Cytochrome b sequences compiled in the present study, showing the four genetic clades, which are color-coded. The vertical black lines separate the sample groups. Insert map shows the Brazilian biomes.

Figure 7 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses

Figure 7. Mismatch distribution of the Necromys lasiurus samples from the Rio de Janeiro state, Brazil. The observed frequencies are shown in red, and the expected frequencies, in green.

Figure 8 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses

Figure 8. Plot of the DIYABC Random Forest simulations for the five hypothetical demographic scenarios proposed for the Necromys lasiurus groups (Atlantic Forest ecoregion, Atlantic Forest domain of Rio de Janeiro state, and Arid Diagonal ecoregion), and the location of the observed data, used to validate the best scenario. In this analysis, scenario 1 received 99 "votes", scenario 2, 398 "votes", scenario 3, 229 "votes", and scenario 4, 76 "votes", with 198 "votes" for scenario 5.

Figure 4 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses

Figure 4. Haplotype network of the Necromys lasiurus Cytochrome b sequences analyzed in the present study, color-coded according to the results of the Bayesian Analysis of Population Structure (BAPS; see Fig. 6). (AF–RJ) Atlantic Forest domain of Rio de Janeiro state. Mutational steps are indicated with stripes.

Figure 5 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses

Figure 5. Haplotype network of the Necromys lasiurus Cytochrome b sequences obtained in the present study from localities in the Atlantic Forest and Pampa biomes (AF), color-coded by locality. (ARG) Argentina, (MS) Mato Grosso do Sul, (MG) Minas Gerais, (PY) Paraguay, (PR) Paraná, (RJ) Rio de Janeiro, (RS) Rio Grande do Sul, (SC) Santa Catarina, (SP) São Paulo. Mutational steps are indicated with stripes.

Figure 2 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses

Figure 2. The demographic scenarios formulated for testing in the DIYABC Random Forest analysis. Pop1 = Arid Diagonal ecoregion (AD), Pop2 = Atlantic Forest ecoregion (AF), Pop3 = Atlantic Forest of Rio de Janeiro state (AF-RJ). The scenarios tested here were: (1) AD as the ancestral population of AF, which originates AF-RJ, (2) AD as the ancestral population, which mixes with AF before originating AF-RJ, (3) AF-RJ as the ancestral population, which mixes with AF before originating AD, (4) AD as the ancestral population of AF and AF-RJ, and (5) AD as the ancestral population, mixing with AF-RJ before originating AF.

Figure 3 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses

Figure 3. Consensus phylogenetic tree produced by the Maximum Likelihood (ML) and Bayesian Inference (BI) analyses of the Cytochrome b sequences of Necromys lasiurus included in the present study. The clades are color-coded according to the results of the Bayesian Analysis of Population Structure (BAPS; see Fig. 6). The samples shaded green are from Atlantic Forest domain of Rio de Janeiro state. The circles at each branch represent the bootstrap values of the ML (left semi-circles) and the posterior probabilities of the BI (right semi-circles). In the left semi-circles, white indicates bootstrap values of 0.40–0.66, while gray represents values of 0.66–0.90, and black, values of over 0.90. In the right semi-circles, white indicates a posterior probability of less than 0.64, with gray representing posterior probabilities of 0.64–0.90, and black, values of over 0.90.