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Fig. 11 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 11 Rates of chatter calls in different magpie populations and individuals. a Each mark represents average chattering rate for a single bird from five populations indicated by colours. Figures are numbers for the outliers: 1, 2—jankowskii from the mixed population of Argun'; 3, 4, 5—hybrid birds from the hybridogeneous population of Kerulen. b Each mark represents average chattering rate for a series of chatterings of one selected individual representing jankowskii, leucoptera, and hybrid birds, respectively. Green mark—pair #6 jankowskii from Vladivostok; gray—pair #43 leucoptera from Tsasuchei, Transbaikalia; blue—pair #24 hybrids from Kerulen, eastern Mongolia. X-axis—number of elements per second in a total series of chattering; Y-axis— number of elements per second in a series of 5 elements of chattering

Fig. 12 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 12 Violin plot diagram of the chatter call speed (elements per second) of Eurasian magpie populations across regions. X-axis presents a set of populations; Y-axis—elements per second. Box outlines the interquantile range (25%, 75%), whiskers represent range without outliers, central bar is the median, red dot is the mean, and figure shape is the probability density. The brackets on the top denote statistically significant pairwise differences (GamesHowell test, p<0.05)

Fig. 9 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 9 Population genetic structure based on unlinked SNP markers. Scatter plots of principal component analysis (PCA) show individual variation in components one and two (a) and three and four (b). The amount of variance explained by each PC is shown in parentheses. I—leucoptera,

Fig. 7 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 7 Bayesian skyline plots (BSPs) for effective female population sizes for haplogroups, subspecies, and populations of Pica pica. a Comparison of 6 haplogroups, depicted in the network Fig. 4. b Comparison of 6 subspecies. c Comparison of 4 populations of P. p. jankowskii. d Comparison of 3 populations of P. p. leucoptera.

Fig. 6 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 6 Mismatch distribution of nucleotide differences in populations representing different haplogroups as at Figs. 4 and 5. X-axis— number of nucleotide differences; Y-axis—proportion (frequency). Solid lines—expected distributions (under expectation of population growth); dashed lines—observed distributions. a Haplogroup 1:

Fig. 5 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 5 Time-calibrated Bayesian tree based on mitochondrial control region sequences of Pica pica. Numbers at the branches indicate Bayesian posterior probability values (left) and bootstrap values of the ML analysis (right, in percent). Triangle widths are proportional to specimen numbers. Blue bars next to nodes indicate 95% credibility intervals for their age estimates. The figures in bold and the time scale below are in million years (Ma) before present

Fig. 4 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 4 Phylogenetic medianjoining network based on 256 mitochondrial control region sequences. Sizes of circles correspond to the number of birds sharing this haplotype; branch lengths are proportional to the number of substitutions and those over 2 are shown at the branches. Haplogroups 1–6 are indicated by numbers

Fig. 2 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 2 Map of sampling localities for mitochondrial DNA analysis in the zone of contact between Pica pica leucoptera and Pica pica jankowskii. Distribution of haplotypes is indicated by colours: Pica

opencc-zeroOct 2022View details →

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Is there hybridisation between diploid and tetraploid Euphrasia in a secondary contact zone?

• Premise of the study: Hybridisation between species with contrasting ploidy is usually considered rare in nature due to strong ploidy related postzygotic reproductive isolating barriers. However, genomic sequencing has revealed previously overlooked examples of natural cross-ploidy hybridisation, suggesting this phenomenon may be more common than once thought. Here, we investigate potential cross-ploidy hybridisation in British eyebrights (Euphrasia, Orobanchaceae), a group where thirteen putative cross-ploidy hybrid combinations have been reported based on morphology. • Methods: We analysed a contact zone between diploid E. rostkoviana and tetraploid E. arctica in Wales. We sequenced part of the internal transcribed spacer of nuclear ribosomal DNA (ITS1) and used Genotyping by Sequencing (GBS) to look for evidence of cross-ploidy hybridisation and introgression. • Key results: All variant sites in the ITS1 region were fixed between diploids and tetraploids, indicating a strong barrier to hybridisation. Clustering analyses of 356 SNPs generated using GBS clearly separated samples by ploidy and revealed strong genetic structure (FST = 0.44). However, the FST distribution across all SNPs was bimodal, indicating potential differential selection on loci between diploids and tetraploids. Demographic inference with dadI suggested potential gene flow – with this limited to around one or fewer migrants per generation. • Conclusions: Our results suggest recent cross-ploidy hybridisation is rare or absent in a site of secondary contact in Euphrasia. While a strong ploidy barrier prevents hybridisation over ecological time-scales, such hybrids may form in stable populations over evolutionary time-scales and may allow for cross-ploidy introgression to take place.

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Is there hybridisation between diploid and tetraploid Euphrasia in a secondary contact zone?

Open the record for dataset details and reuse information.

publicOct 2022View details →

opencc-zeroAug 2020View details →

Secondary contact zones of closely-related Erebia butterflies overlap with narrow phenotypic and parasitic clines

Zones of secondary contact between closely related taxa are a common legacy of the Quaternary ice ages. Despite their abundance, the factors that keep species apart and prevent hybridisation are often unknown. Here we study a very narrow contact zone between three closely related butterfly species of the Erebia tyndarus species complex. Using genomic data, we first determined if gene flow occurs and then assessed whether it might be hampered by differences in chromosome number between some species. We found interspecific gene flow between sibling species that differ in karyotype by one chromosome. Conversely, only F1 hybrids occurred between two species that have the same karyotype, forming a steep genomic cline. In a second step, we fitted clines to phenotypic, ecological and parasitic data to identify the factors associated with the genetic cline. We found clines for phenotypic data and the prevalence of the endosymbiont parasite Wolbachia to overlap with the genetic cline, suggesting that they might be drivers for separating the two species. Overall our results highlight that some gene flow is possible between closely-related species despite different chromosome numbers, but that other barriers restrict such gene flow.

opencc-zeroSep 2020View details →

Parasite turnover zone at secondary contact: a new pattern in host-parasite population genetics

We introduce a new pattern of population genetic structure in a host-parasite system that can arise after secondary contact of previously isolated populations. Due to different generation time and therefore different tempo of molecular evolution the host and parasite populations reach different degrees of genetic differentiation during their separation (e.g. in refugia). Consequently, during the secondary contact the host populations are able to re-establish a single panmictic population across the area of contact, while the parasite populations stop their dispersal at the secondary contact zone and create a narrow hybrid zone. From the host's perspective, the parasite's hybrid zone functions on a microevolutionary scale as a "parasite turnover zone": while the hosts are passing from area A to area B, their parasites turn genetically from the area A genotypes to the area B genotypes. We demonstrate this novel pattern on a model composed of Apodemus mice and Polyplax lice by comparing maternally inherited markers (complete mitochondrial genomes, and complete genomes of vertically transmitted symbiont Legionella polyplacis) with SNPs derived from the louse genomic data. We discuss circumstances that may lead to this pattern and possible reasons why it has been overlooked in the studies on host parasite population genetics.

opencc-zeroDec 2015View details →

Data from: Does competitive interaction drive species recognition in a house mouse secondary contact zone?

Miscommunication may induce a high risk of unnecessary escalated fights between competitors (populations to species), resulting in selection favoring signal divergence through agonistic character displacement (ACD). When signals allowing discrimination between competitors are also involved in mate recognition, ACD could explain reproductive character displacement (RCD). We tested interference competition between males as a potential driver of RCD (here, subspecies recognition) in a secondary contact zone between two mouse subspecies (Mus musculus musculus and Mus musculus domesticus) displaying asymmetric dominance. Since such asymmetry could create a conflict between subspecies (compatibility) and quality (dominance) recognition in the contact zone, we tested for geographic variation in female preference for dominant males in the subordinate subspecies, musculus. We assessed competition between males and tested ACD during dyadic encounters comparing behavior displayed during trials between heterosubspecifics originating from populations close to the secondary contact ("contact") and further away ("allopatric"). We also compared behavior of contact versus allopatric males during homosubspecific versus heterosubspecific trials to test whether subspecies discrimination evolved under competitive interference. Although domesticus dominated most heterosubspecific trials regardless of geographic origin, agonistic behavior was more marked (i.e., lower attack latencies) during contact than allopatric encounters, suggesting that ACD occurred. Comparing behavior during homosubspecific and heterosubspecific encounters, only allopatric musculus displayed differences, that is, higher attack latencies toward heterosubspecifics, indicating that discrimination between competitors did not evolve with ACD. Finally, although allopatric musculus females seemed to prefer dominant males, their contact counterparts did not, suggesting that "compatibility" may have outweighed "quality" under a risk of hybridization.

opennotspecifiedSep 2006View details →

FIGURE 4. a in Characterization of a secondary contact zone of the Great Tit Parus major and the Japanese Tit P. minor (Aves: Passeriformes) in Far Eastern Siberia with DNA markers.

FIGURE 4. a) Proportion of minor phenotypes plotted against geographic distances between the populations (with parameters, a = 1.0166, b = 0.1534, x = 5.7334, y = 0.0114, R2 = 0.9934), b) 0 0 proportion of minor mitochondrial haplotypes plotted against geographic distances (a = 1.0049, b = 0.1551, x = 0.5749, y = 0.0319, R2 = 0.9843) and c) proportion of individuals being assigned to 0 0 minor based on microsatellites plotted against geographic distances (a = 0.9616, b = 0.2167, x0 = 5.2785, y = 0.0166, R2 = 0.9928).

opennotspecifiedSep 2006View details →

FIGURE 3 in Characterization of a secondary contact zone of the Great Tit Parus major and the Japanese Tit P. minor (Aves: Passeriformes) in Far Eastern Siberia with DNA markers.

FIGURE 3. Assignment probabilities for each individual to belong to major or minor cluster. Phenotypes of the individuals are shown above the graph. Individuals in bold are first generation migrants detected by GeneClass.

opennotspecifiedSep 2006View details →

FIGURE 2 in Characterization of a secondary contact zone of the Great Tit Parus major and the Japanese Tit P. minor (Aves: Passeriformes) in Far Eastern Siberia with DNA markers.

FIGURE 2. Relative frequencies of alleles at the nine studied microsatellite loci for each population.

opennotspecifiedAug 2018View details →

Fig. 1 in Morphological specificities of vendace (Salmoniformes: Salmonidae: Coregoninae: Coregonus albula) population in Lake Pleshcheyevo (the Volga River basin): relationships of two phylogenetic lineages in a new zone of secondary contact

Fig. 1 Map of European north of Russia marking the selected sampling location. 1, 2—Lake Goreloye [16] and Lake Bol'shoye Krasnoye [35] (Bol'shoy Solovetsky Island); 3—Lake Beloye [16]; 4—Lake Pleshcheyevo: lineages E [44] and ALBP2 [29]; 5—Lake Vishtynetskoye (Kaliningrad region) [28]. In square brackets, the sample size is shown

opennotspecifiedAug 2018View details →

Fig. 3 in Morphological specificities of vendace (Salmoniformes: Salmonidae: Coregoninae: Coregonus albula) population in Lake Pleshcheyevo (the Volga River basin): relationships of two phylogenetic lineages in a new zone of secondary contact

Fig. 3 Plots of scores for the first two discriminant functions for size-free morphometric data for six vendace (C. albula) groups. 1—Lake Pleshcheyevo, lineage E; 2—Lake Pleshcheyevo, lineage ALBP2; 3—Lake Goreloye; 4—Lake Bol'shoye Krasnoye; 5—Lake Vishtynetskoye; 6—Lake Beloye. 95% confidence ellipses are shown

opencc-zeroDec 2018View details →

Data from: Phylogeography of the Neotropical epiphytic orchid, Brassavola nodosa: evidence for a secondary contact zone in northwestern Costa Rica

Spatial patterns of genetic variation can reveal otherwise cryptic evolutionary and landscape processes. In northwestern Costa Rica, an approximately concordant genetic discontinuity occurs among populations of several plant species. We conducted phylogeographic analyses of an epiphytic orchid, Brassavola nodosa, to test for genetic discontinuity and to explore its underlying causes. We genotyped 18 populations with 19 nuclear loci and two non-coding chloroplast sequence regions. We estimated genetic diversity and structure, relative importance of pollen and seed dispersal, and divergence time to understand how genetic diversity was spatially partitioned. Nuclear genetic diversity was high with little differentiation among populations (GSTn = 0.065). In contrast, chloroplast haplotypes were highly structured (GSTc = 0.570) and reveal a discontinuity between northwestern and southeastern populations within Costa Rica. Haplotype differences suggest two formerly isolated lineages that diverged approximately 10,000-100,000 YBP. Haplotype mixing and greater genetic diversity occur in an intermediate transition zone. Patterns of nuclear and chloroplast data were consistent. Different levels of genetic differentiation for the two genomes reflect the relative effectiveness of biotic versus abiotic dispersers of pollen and seeds. Isolation of the two lineages likely resulted from the complex environmental and geophysical history of the region. Our results suggest a recent cryptic seed dispersal barrier and/or zone of secondary contact. We hypothesize that powerful northeasterly trade winds hinder movement of wind-borne seeds between the two regions, while the multi-directional dispersal of pollen by strong-flying sphinx moths resulted in lower differentiation of nuclear loci.