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176 results for “Diversification pattern”
Fig. 2 in Timing and patterns of diversification in the Neotropical bat genus Pteronotus (Mormoopidae).
Fig. 2. Geographic range evolution in the genus Pteronotus. (a) Current distribution of genus Pteronotus (coloured map) with biogeographical areas scored for species presence/absence matrix. ME = Mexico; CA = Central America; CC = Caribean Coast of South America; LA = Lesser Antilles; AM = Amazon; CE = Brazilian Dry Diagonal: Cerrado and Caatinga; AF = Northern Atlantic Forest; JC = Jamaica and Cuba; HI = Hispaniola; PR = Puerto Rico. (b) Geographic range estimates with the highest marginal probabilities for Pteronotus ancestral nodes according to DIVAj model. Dashed-line borders indicate area combinations with probabilities smaller than 10% in the model, but still being the most probable state in that node among the 638 possible combinations. Curved arrows represent splits in the ancestral geographic ranges explained by vicariance; many of them were succeeded by anagenetic dispersal/extinction events, as highlighted by the linear black arrows; Dotted-line straight arrows highlight shifts in nodes geographic ranges due to dispersal jumps.
Fig. 1 in Timing and patterns of diversification in the Neotropical bat genus Pteronotus (Mormoopidae).
Fig. 1. Maximum clade credibity tree with divergence estimates in the genus Pteronotus using fossil calibration. Bars correspond to the 95% High Posterior Density (HPD) time interval of each node. Bayesian Posterior Probabilities (BPP) of all nodes were higher than 0.95.
Figure 4. Clade 3 in Host conservatism or host specialization? Patterns of fungal diversification are influenced by host plant specificity in Ophiognomonia (Gnomoniaceae: Diaporthales)
Figure 4. Clade 3 of the genus Ophiognomonia. Spatial evolutionary and ecological vicariance analysis (SEEVA) results. Divergence indices of four host plant variables: host plant order, family, genus, and species. Histograms of divergence indices (0–1) for each variable are mapped onto the maximum-likelihood tree from the GARLI analysis for 17 species of Ophiognomonia. After applying a Bonferroni correction (P ≤ 0.0034), the statistically significant divergence indices are indicated by asterisks at each node (*). Nodes are labelled as clade #:node #. The host plant families are represented as shaded boxes. The complete host–fungus associations are listed in Table 1. Patterns of host conservatism, specialization, or switching are indicated by bold arrows. Nodes 3:3, 3:4, 3:5, 3:9, 3:11, 3:12, 3:13, and 3:14 are not supported by maximum-likelihood bootstrap values of ≥ 70%.
Figure 2. Clade 1 in Host conservatism or host specialization? Patterns of fungal diversification are influenced by host plant specificity in Ophiognomonia (Gnomoniaceae: Diaporthales)
Figure 2. Clade 1 of the genus Ophiognomonia. Spatial evolutionary and ecological vicariance analysis (SEEVA) results. Divergence indices of four host plant variables: host plant order, family, genus, and species. Histograms representing divergence indices (0–1) for each variable are mapped onto the maximum-likelihood tree from the GARLI analysis for 16 species of Ophiognomonia. After applying a Bonferroni correction (P ≤ 0.0034), the statistically significant divergence indices are indicated by asterisks at each node (*). Nodes are labelled as clade #:node #. The host plant orders and families are represented as shaded boxes. The complete host–fungus associations are listed in Table 1. Patterns of host conservatism, specialization, or switching are indicated by bold arrows. Only node 1:15 is not supported by a maximumlikelihood bootstrap value of ≥ 70%.
Figure 1 in Host conservatism or host specialization? Patterns of fungal diversification are influenced by host plant specificity in Ophiognomonia (Gnomoniaceae: Diaporthales)
Figure 1. Morphology of the species Ophiognomonia alni-viridis. From the top, left to right: perithecia on an overwintered leaf of Alnus sinuata; single perithecium extracted from host tissue; single ascospore; and single ascus.
Figure 3. Clade 2 in Host conservatism or host specialization? Patterns of fungal diversification are influenced by host plant specificity in Ophiognomonia (Gnomoniaceae: Diaporthales)
Figure 3. Clade 2 of the genus Ophiognomonia. Spatial evolutionary and ecological vicariance analysis (SEEVA) results. Divergence indices of four host plant variables: host plant order, family, genus, and species. Histograms of divergence indices (0–1) for each variable are mapped onto the maximum-likelihood tree from the GARLI analysis for 14 species of Ophiognomonia. After applying a Bonferroni correction (P ≤ 0.0039), the statistically significant divergence indices are indicated by asterisks at each node (*). Nodes are labelled as clade #:node #. The host plant orders and families are represented as shaded boxes. The complete host–fungus associations are listed in Table 1. Patterns of host conservatism, specialization, or switching are indicated by bold arrows. All branches are supported by maximum-likelihood values ≥ 70%.
Phylogeography and population genetic structure of the cardinal tetra (Paracheirodon axelrodi) in the Orinoco basin and Negro River (Amazon basin): evaluating connectivity and historical patterns of diversification
<p class="MsoNormal"><span class="Fuentedeprrafopredeter1"><span>The Neotropics contain one of the most diverse assemblages of freshwater fishes worldwide. Part of this diversity is shared between the Orinoco and Amazon basins. These basins have been separated for a long time due to the Vaupes Arch, rising between 10 - 11 Ma. T</span></span><span class="Fuentedeprrafopredeter1"><span>oday, there is only one permanent connection between the Orinoco and Negro </span></span><span class="Fuentedeprrafopredeter1"><span>(Amazon) </span></span><span class="Fuentedeprrafopredeter1"><span>basins, known as the Casiquiare Canal</span></span><span class="Fuentedeprrafopredeter1"><span>. </span></span><span class="Fuentedeprrafopredeter1"><span>However, alternative corridors allowing fish dispersion between both basins have been proposed. The cardinal tetra (<em>Paracheirodon axelrodi),</em> the most important fish in the ornamental world market, is distributed in both basins. Here we investigated </span></span><span class="Fuentedeprrafopredeter1"><em><span>P. axelrodi </span></em></span><span class="Fuentedeprrafopredeter1"><span>phylogeography, population structure, and potential routes of migration and connectivity between the two basins. A total of 468 bp of the mitochondrial gene (COI), 555 bp of the nuclear gene fragment (MYH6), and 8 microsatellite loci were analyzed. </span></span><span class="Fuentedeprrafopredeter1"><span>As a result, we found two major genetic clusters as the most likely scenario (K=2), but they were not discreetly distributed between basins. A gradient of genetic admixture was observed in Cucui and </span></span><span class="Fuentedeprrafopredeter1"><span>São</span></span><span class="Fuentedeprrafopredeter1"><span> Gabriel da Cachoeira, between the upper Negro River and the upper Orinoco. Samples from the middle-lower Negro River were highly structured. </span></span><span class="Fuentedeprrafopredeter1"><span>Cucui (Negro basin) was more similar to the Orinoco than to the rest of the Negro basin populations. </span></span><span class="Fuentedeprrafopredeter1"><span>However, substructure was also observed by the discriminant analysis, fixation indices and other hierarchichal structure analyses (K=3-6), showing three major geographic clusters: Orinoco, Cucui, and the remaining of the Negro basin. </span></span><span class="Fuentedeprrafopredeter1"><span>Unidirectional migration patterns were detected between basins: via Cucui toward Orinoco and via the remaining of the Negro basin toward Orinoco. Results from the Relaxed Random Walk analysis support a very recent origin of this species in the headwater Orinoco basin (Western Guiana Shield, at late Pleistocene) with a later rapid colonization of the remaining Orinoco basin and almost simultaneously the Negro River via Cucui, between 0.115 until about 0.001 Ma. Historical biogeography and population genetic patterns observed here for Cardinal tetra, seem to be better explained by river capture, physical, or ecological barriers than due to the geographic distance.</span></span></p>
Data from: Out of the Andes: patterns of diversification in clearwing butterflies
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RAD-seq reveals patterns of diversification, hybridization, and the accumulation of reproductive isolation in a clade of partially sympatric, tropical island trees
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Data from: Sex-specific patterns of morphological diversification: evolution of reaction norms and static allometries in neriid flies
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Data from: Microhabitat and climatic niche change explain patterns of diversification among frog families
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Data from: Diversification patterns in the CES clade (Brassicaceae tribes Cremolobeae, Eudemeae, Schizopetaleae) in Andean South America
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Data from: Glacial refugia, recolonisation patterns, and diversification forces in Alpine-endemic Megabunus harvestmen
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Data from: Time explains regional richness patterns within clades more often than diversification rates or area
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Data from: The incidence and pattern of co-pollinator diversification in dioecious and monoecious figs
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Phylogeography and population genetic structure of the cardinal tetra (Paracheirodon axelrodi) in the Orinoco basin and Negro River (Amazon basin): evaluating connectivity and historical patterns of diversification
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Data from: Patterns of local community composition are linked to large-scale diversification and dispersal of clades
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GARD 1.5 range shapefiles used in: Global diversity patterns are explained by diversification rates at ancient, not shallow, timescales
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Data from: Phenotypic integration in flowers of neotropical lianas: diversification of form with stasis of underlying patterns
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Data from: Coevolutionary patterns and diversification of ant-fungus associations in the asexual fungus-farming ant Mycocepurus smithii in Panama
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