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563 results for “genetic differentiation”
Fig. 2. A in Genetic differentiation in populations of Aedes aegypti (Diptera, Culicidae) dengue vector from the Brazilian state of Maranhão
Fig. 2. A priori estimate of the probable groups of populations produced by the BAPS (Bayesian Analysis of Population Structure v 6.0) program, indicating a total of two groups.
Figure 2 in Examining metrics and magnitudes of molecular genetic differentiation used to delimit cetacean subspecies based on mitochondrial DNA control region sequences
Figure 2. Relationship between ΦST and Nei's estimate of net divergence (dA) among cetacean population, subspecies, and species pairs estimated using mitochondrial DNA control region sequence data. Specific values mentioned in the text are numbered: 1 = Neophocaena species; 2 = killer whale populations. The three green squares in the left-hand side of the figure (ΦST <0.07) represent, from bottom to top, the subspecies comparisons for S. attenuata, S. longirostris, and L. obscurus, respectively.
Figure 1 in Examining metrics and magnitudes of molecular genetic differentiation used to delimit cetacean subspecies based on mitochondrial DNA control region sequences
Figure 1. Box and whisker plots showing median and 1st and 3rd quartiles, and minimum and maximum values for six metrics of genetic divergence among cetacean population, subspecies, and species pairs estimated using mitochondrial DNA control region sequence data.
Cast Away in the Adriatic: Low Degree of Parallel Genetic Differentiation in Three-Spined Sticklebacks
<p>This repository incorporates data and scripts associated with the paper "Cast Away in the Adriatic: Low Degree of Parallel Genetic Divergence in Three-Spined Sticklebacks".</p> <p>Included in the repository are the following compressed folders: </p> <ul> <li>Moments_models&data.zip: two-population demographic models and SFS to run in <em>moments.</em></li> <li>Stairwayplot.zip: blueprint files for multiple mutation rates and results for StairwayPlots.</li> <li>TreeMix.zip: pipeline to infer population splits and mixture events from allele frequency data using TreeMix, including input files.</li> <li>VCF.zip: a filtered VCF file for all three-spined stickleback samples.</li> </ul> <p>The scripts for TreeMix and demographic analyses in <em>moments</em> are also available on <a href="https://github.com/carolindahms">GitHub</a>.</p>
Fig. 6 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 6. The results of AMOVA computed on the genetic data and hierarchical ANOVA of the morphometric data. A = AMOVA of both regions together. B = AMOVA of the two regions separately. C = Hierarchical ANOVA of both regions together. D = Hierarchical ANOVA of the two regions separately. The patterns of the columns are consistent in all charts. BR: between region component of variance (dark grey); BP: variation among the populations within the regions (black); BS: variation among the samples/generations within the populations (white); WS: within sample compo-
Fig. 4 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 4. UPGMA dendrogram constructed using CAVALLI-SFORSA & EDWARDS chord distances with a Maculinea teleius sample (3tKv) as out group. Bootstrap values were obtained using 2000 replicates
Fig. 2 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 2. Measured traits on the wings of Maculinea nausithous. Forewing: anal length (a), length of the outer margin (b), apical angle (β). Hindwing: anal length (c), costal length (d), basal angle (γ), widths
Fig. 3 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 3. UPGMA dendrogram constructed using CAVALLI-SFORSA & EDWARDS chord distances (A) and UPGMA phenogram built on the basis of the Euclidean distances among the average canonical
Fig. 1 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 1. Sample sites. Őrség region (West Hungary): Kétvölgy (Kv) and Magyarszombatfa (Mfa). Transylvania (Romania): Răscruci (Ras) and Fânatele Clujului (Fan)
Fig. 7 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 7. Results of the classification of individuals. A: Bar plot of the individuals as a result of the Bayesian clustering analysis. B: Distribution of the two genetic clusters in the two regions. 1: genetic cluster 1; 2: genetic cluster 2. C: Allocation of the individuals at the regional level on the basis of their
Fig. 7 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 7. Micrographs of the outer edge of the inhalant siphon in mussels: 1 — A. cygnea (r. Derevychka); 2 — A. anatina (Lyutsymer lake); 3 — P. complanata (r. Uzh); 4 — S. woodiana (r. Danube). Рис. 7. Микрофотографии наружного края вводных сифонов у беззубок: 1 — A. cygnea (р. Деревичка); 2 — A. anatina (оз. Люцимер); 3 — P. complanata (р. Уж); 4 — S. woodiana (р. Дунай.
Fig. 5 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 5. The distribution of mussels from four species in the space of canonical variables made by conchological characters. N o t e. Еxtrapolation of specimens distribution on probability level is p <0.05. Рис. 5. Распределение особей четырёх видов беззубок в пространстве канонических переменных, построенных по конхиологическим признакам. П р и м е ч а н и е. Экстраполяция распределения особей проведена на уровне вероятности p <0,05.
Fig. 2 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 2. UPGMA phenogram of genetic distances (Nei, 1972) between mussel species and populations. N o t e. Aa — A. anatina, Ac — A. cygnea, Pc — P. complanata, Sw — S. woodiana. Riwer systems: 1 — Danube, 2 — r. Tysa, 3 — Upper Dniester, 4 — Lower Dniester, 5 — r. Ingul, 6 — r. Western Bug, 7 — r. Prypyat, 8 — Upper Dnipro, 9 — r. Ros, 10 — r. Psel, 11 — r. Siversky Donets, 12 — r. Salgyr.
Fig. 1 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 1. Main places of material collection: 1 — r. Danube, 2 — r. Tysa, 3 — Upper Dniester, 4 — Lower Dniester, 5 — r. Ingul, 6 — r. Western Bug, 7 — r. Prypyat, 8 — Upper Dnipro, 9 — r. Ros, 10 — r. Psel, 11 — r. Siversky Donets, 12 — r. Salgyr.
Fig. 4 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 4. UPGMA phenogram of genetic distances (Tamura et al., 2004, 2011) between specimens of four Anodontinae species made by homologous sequences of two homologous loci (COI and 16S). Рис. 4. UPGMA фенограмма генетических дистанций (Tamura et al., 2004, 2011), построенная по гомологичным последовательностям двух локусов (COI и 16S) между отдельными особями четырёх видов Anоdontinae.
Fig. 3 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 3. Geographic variation of Mdh-1 locus in P. complanata populations in Ukraine (Mdh-1110 — filled with black, Mdh-1120 — filled with grey).
Fig. 6 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 6. The umbonal structure of the shell in molluscs from subfamily Anodontinae: 1 — A. cygnea; 2 — A. anatina; 3 — P. complanata; 4 — S. woodiana. Рис. 6. Структура вершины раковины моллюсков подсемейства Anodontinae: 1 — A. cygnea; 2 — A. anatina; 3 — P. complanata; 4 — S. woodiana.
Рис. 3. Географическая изменчивость локуса Mdh-1 в популяциях P. complanata в пределах Украины (Mdh-1110 — заполнение чёрным цветом, Mdh-1120 — серым). in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Рис. 3. Географическая изменчивость локуса Mdh-1 в популяциях P. complanata в пределах Украины (Mdh-1110 — заполнение чёрным цветом, Mdh-1120 — серым).
Рис. 2. UPGMA — фенограма генетических дистанций (Nei, 1972) между видами и популяциями двустворчатых моллюсков. П р и м е ч а н и е. Aa — A. anatina, Ac — A. cygnea, Pc — P. complanata, Sw — S. woodiana. Речные системы: 1 — Дунай, 2 — р. Тиса, 3 — Верхний Днестр, 4 — Нижний Днестр, 5 — р. Ингул, 6 — р. Западный Буг, 7 — р. Припять, 8 — р. Верхний Днепр, 9 — р. Рось, 10 — р. Псёл, 11 — р. Северский Донец, 12 — р. Салгир. in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Рис. 2. UPGMA — фенограма генетических дистанций (Nei, 1972) между видами и популяциями двустворчатых моллюсков. П р и м е ч а н и е. Aa — A. anatina, Ac — A. cygnea, Pc — P. complanata, Sw — S. woodiana. Речные системы: 1 — Дунай, 2 — р. Тиса, 3 — Верхний Днестр, 4 — Нижний Днестр, 5 — р. Ингул, 6 — р. Западный Буг, 7 — р. Припять, 8 — р. Верхний Днепр, 9 — р. Рось, 10 — р. Псёл, 11 — р. Северский Донец, 12 — р. Салгир.
Climate adaptation and genetic differentiation in the mosquito species Culex tarsalis
<p>The increasing prevalence of vector-borne diseases around the world highlights the pressing need for an in-depth exploration of the genetic and environmental factors that shape the adaptability and widespread distribution of mosquito populations. This research focuses on <em>Culex tarsalis</em>, a principal vector for various viral diseases including West Nile Virus (WNV). Through the development of a new reference genome and the examination of Restriction-Site Associated DNA sequencing (RAD-seq) data from over 300 individuals and 28 locations, we demonstrate that variables such as temperature, evaporation rates, and the density of vegetation significantly impact the genetic makeup of <em>Cx. tarsalis</em> populations. Among the alleles most strongly associated with environmental factors is a nonsynonymous mutation in a key gene related to circadian rhythms. These results offer new insights into the mechanisms of spread and adaptation in a key North American vector species, which is poised to become a growing health threat to both humans and animals in the face of ongoing climate change.</p>
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