Find research datasets worth reusing

FIGURE 39 in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)

FIGURE 39. Eudocima valvae (inner aspect). These preparations are lying flat on the bottom of a petri dish.

FIGURE 38 in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)

FIGURE 38. Eudocima juxtas (ventral aspect). These preparations are flattened out and mounted on slides.

FIGURE 42. A–C in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)

FIGURE 42. A–C: Eudocima uncus, tuba analis, and tegumen (lateral aspect). These preparations are on the bottom of a petri dish and the arms of the tegumen are slightly compressed due to being held in place by a piece of concave glass; D–F: Eudocima uncus and scaphium (lateral aspect).

FIGURE 33 in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)

FIGURE 33. Eudocima male genitalic capsules with hairs intact. Apparent differences in coloration are due to differences in lighting.

FIGURE 18 in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)

FIGURE 18. Neotropical Eudocima, Ferenta, Tetrisia, Graphigona; Eudocima kinabaluensis group, and E. homaena group adults (ventral aspect).

FIGURE 41 in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)

FIGURE 41. Eudocima uncus, tuba analis, and tegumen (lateral aspect). These preparations are on the bottom of a petri dish and the arms of the tegumen are slightly compressed due to being held in place by a piece of concave glass.

FIGURE 20. Eudocima cocalus, E. cajeta, E in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)

FIGURE 20. Eudocima cocalus, E. cajeta, E. sikhimensis groups and Southeast Asian Eudocima adults (ventral aspect).

FIGURE 19. Eudocima materna, E. salaminia, E in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)

FIGURE 19. Eudocima materna, E. salaminia, E. discrepans groups and African Eudocima adults (ventral aspect).

FIGURE 40 in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)

FIGURE 40. Eudocima valvae (inner aspect). These preparations are lying flat on the bottom of a petri dish.

FIGURE 36 in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)

FIGURE 36. Eudocima male genitalic capsules (lateral aspect) with hairs removed. Red lines cross the first inflexion point on the juxta.

FIGURE 28. A–O in Mitochondrial genetics of Ophiderini, with a new species from the Eudocima phalonia species group (Lepidoptera: Noctuidae: Calpinae)

FIGURE 28. A–O: Eudocima phalonia group and Calpini adults (dorsal aspect); P: Page 41, Plate 310, Figure A from Cramer (1782); Q: Page 58, Plate 12, Figure 11 from Stoll (1790).

opencc-zeroJun 2022View details →

Genetic structure and dispersal in peripheral populations of a marine fish (Pacific cod, Gadus macrocephalus) and their importance for adaptation to climate change

Small and isolated peripheral populations, which are often remnants of glacial refugia, offer an opportunity to determine the magnitude and direction of fine-scale connectivity in high gene flow marine species. When located at the equatorial edge of a species' range, these populations may also harbor genetic diversity related to survival and reproduction at higher temperatures, a critical resource for marine species facing warming ocean temperatures. Pacific cod (Gadus macrocephalus), a marine fish in the North Pacific, has already experienced major shifts in biomass and distribution linked to climate change. We estimated the magnitude and direction of connectivity between peripheral populations of Pacific cod at the southern edge of the species' range, by conducting restriction site-associated DNA (RAD) sequencing and individual assignment on fish collected around the Korean Peninsula during the spawning season. Three populations on the western, eastern, and southern Korean coasts were highly differentiated (FST =0.025 – 0.042) and relatively small (Ne = 433-1777). Ten putative dispersers and estimates of contemporary migration rates revealed asymmetrical, west-to-east movement around the Korean Peninsula, at a higher rate than predicted by indirect estimates of connectivity (FST). Allele frequencies at 87 RAD loci were decisively correlated with strong marine temperature gradients between the warmer southern coast and the cooler waters of the eastern and western coasts. Despite relatively small sample sizes, our data suggest asymmetrical dispersal and gene flow, potentially involving adaptive alleles, between peripheral populations inhabiting markedly different thermal regimes. Our study emphasizes the conservation value of peripheral populations in high gene flow marine fish species.

opencc-by-4.0Jun 2022View details →

Genetic and environmental variance of semen quality in Nordic Holstein bulls

Figure S1. Plots of genetic Variance at different age (month) for the semen quality traits. Va: genetic variance, Conc= concentration; Pre= pre-cryopreservation; post= post-cryopreservation; Mot= sperm motility; Via= sperm viability; NDOS= number of doses per ejaculate. Figure S2. Permanent environment Variance at different age (month). Vpe: permanent environment variance, Conc= concentration; Pre= pre-cryopreservation; post= post-cryopreservation; Mot= sperm motility; Via= sperm viability; NDOS= number of doses per ejaculate. Figure S3. Residual Variance at different age (month). Ve= residual variance, Conc= concentration; Pre= pre-cryopreservation; post= post-cryopreservation; Mot= sperm motility; Via= sperm.

opennotspecifiedNov 2017View details →

Subspecies and Distribution. P.c.campbelliThomas,1905—C&EMongoliaandChina(WNingxia,InnerMongolia,andNHebei). P. c. crepidatus Hollister, 1912 — SE Siberia (Altai Mts, Tuva, S Buryatia, and S Zabaykalsky Krai in Russia) and NW Mongolia. A not yet formally described form based on genetic data is present in SW Mongolia. in Cricetidae

Subspecies and Distribution. P.c.campbelliThomas,1905—C&EMongoliaandChina(WNingxia,InnerMongolia,andNHebei). P. c. crepidatus Hollister, 1912 — SE Siberia (Altai Mts, Tuva, S Buryatia, and S Zabaykalsky Krai in Russia) and NW Mongolia. A not yet formally described form based on genetic data is present in SW Mongolia.

opencc-zeroNov 2015View details →

Data from: Dealing with uncertainty in landscape genetic resistance models: a case of three co-occurring marsupials

Landscape genetics lacks explicit methods for dealing with the uncertainty in landscape resistance estimation, which is particularly problematic when sample sizes of individuals are small. Unless uncertainty can be quantified, valuable but small datasets may be rendered unusable for conservation purposes. We offer a method to quantify uncertainty in landscape resistance estimates using multi-model inference as an improvement over single-model based inference. We illustrate the approach empirically using co-occurring, woodland-preferring Australian marsupials within a common study area: two arboreal gliders (Petaurus breviceps, and Petaurus norfolcensis) and one ground-dwelling Antechinus (Antechinus flavipes). First, we use maximum-likelihood and a bootstrap procedure to identify the best-supported isolation by resistance (IBR) model out of 56 models defined by linear and non-linear resistance functions. We then quantify uncertainty in resistance estimates by examining parameter selection probabilities from the bootstrapped data. The selection probabilities provide estimates of uncertainty in the parameters that drive the relationships between landscape features and resistance. We then validate our method for quantifying uncertainty using simulated genetic and landscape data showing that for most parameter combinations it provides sensible estimates of uncertainty. We conclude that small datasets can be informative in landscape genetic analyses provided uncertainty can be explicitly quantified. Being explicit about uncertainty in landscape genetic models will make results more interpretable and useful for conservation decision-making, where dealing with uncertainty is critical.

opencc-zeroDec 2011View details →

Data from: Using a reference population yardstick to calibrate and compare genetic diversity reported in different studies: an example from the brown bear.

In species with large geographic ranges, genetic diversity of different populations may be well studied, but differences in loci and sample sizes can make the results of different studies difficult to compare. Yet, such comparisons are important for assessing the status of populations of conservation concern. We propose a simple approach of using a single well-studied reference population as a "yardstick" to calibrate results of different studies to the same scale, enabling comparisons. We use a well-studied large carnivore, the brown bear (Ursus arctos), as a case study to demonstrate the approach. As a reference population, we genotyped 513 brown bears from Slovenia using 20 polymorphic microsatellite loci. We used this dataset to calibrate and compare heterozygosity and allelic richness for 30 brown bear populations from 10 different studies across the global distribution of the species. The simplicity of the reference population approach makes it useful for other species, enabling comparisons of genetic diversity estimates between previously incompatible studies and improving our understanding of how genetic diversity is distributed along a species range.

opencc-zeroJun 2022View details →

Population genetic structure of wolves in the northwestern Dinaric-Balkan region

The Balkan Peninsula and the Dinaric Mountains possess extraordinary biodiversity and support one of the largest and most diverse wolf (Canis lupus) populations in Europe. Results obtained with diverse genetic markers show west-east substructure, also seen in various other species, despite the absence of obvious barriers to movement. However, the spatial extent of the genetic clusters remains unresolved, and our aim was to combine fine-scale sampling with population and spatial genetic analyses to improve resolution of wolf genetic clusters. We analyzed 16 autosomal microsatellites from 255 wolves sampled in Slovenia, Croatia, Bosnia and Herzegovina (BIH), and Serbia, and documented three genetic clusters. These comprised (1) Slovenia and the regions of Gorski kotar and Lika in Croatia, (2) the region of Dalmatia in southern Croatia and BIH, and (3) Serbia. When we mapped the clusters geographically, we observed west-east genetic structure across the study area, together with some specific structure in BIH – Dalmatia. We observed that cluster 1 had a smaller effective population size, consistent with earlier reports of population recovery since the 1980s. Our results provide foundation for future genomic studies that would further resolve the observed west-east population structure and its evolutionary history in wolves and other taxa in the region, and identify focal areas for habitat conservation. They also have immediate importance for conservation planning for the wolves in one of the most important parts of the species' European range.

opencc-zeroDec 2014View details →

Data from: Habitat fragmentation in coastal southern California disrupts genetic connectivity in the Cactus Wren (Campylorhynchus brunneicapillus)

Achieving long-term persistence of species in urbanized landscapes requires characterizing population genetic structure to understand and manage the effects of anthropogenic disturbance on connectivity. Urbanization over the past century in coastal southern California has caused both precipitous loss of coastal sage scrub habitat and declines in populations of the cactus wren (Campylorhynchus brunneicapillus). Using 22 microsatellite loci, we found that remnant cactus wren aggregations in coastal southern California comprised 20 populations based on strict exact tests for population differentiation, and 12 genetic clusters with hierarchical Bayesian clustering analyses. Genetic structure patterns largely mirrored underlying habitat availability, with cluster and population boundaries coinciding with fragmentation caused primarily by urbanization. Using a habitat model we developed, we detected stronger associations between habitat-based distances and genetic distances than Euclidean geographic distance. Within populations, we detected a positive association between available local habitat and allelic richness and a negative association with relatedness. Isolation-by-distance patterns varied over the study area, which we attribute to temporal differences in anthropogenic landscape development. We also found that genetic bottleneck signals were associated with wildfire frequency. These results indicate that habitat fragmentation and alterations have reduced genetic connectivity and diversity of cactus wren populations in coastal southern California. Management efforts focused on improving connectivity among remaining populations may help to ensure population persistence.

opencc-zeroDec 2011View details →

Data from: Comparative landscape genetic analyses show a Belgian motorway to be a gene flow barrier for red deer (Cervus elaphus), but not wild boars (Sus scrofa)

While motorways are often assumed to influence the movement behaviour of large mammals, there are surprisingly few studies that show an influence of these linear structures on the genetic make-up of wild ungulate populations. Here, we analyse the spatial genetic structure of red deer (Cervus elaphus) and wild boars (Sus scrofa) along a stretch of motorway in the Walloon part of Belgium. Altogether 876 red deer were genotyped at 13 microsatellite loci, and 325 wild boars at 14 loci. In the case of the red deer, different genetic clustering tools identified two genetic subpopulations whose borders matched the motorway well. Conversely, no genetic structure was identified in the case of the wild boar. Analysis of isolation-by-distance patterns of pairs of individuals on the same side and on different sides of the motorway also suggested that the road was a barrier to red deer, but not to wild boar movement. While telemetry studies seem to confirm that red deer are more affected by motorways then wild boar, the red deer sample size was also much larger than that of the wild boars. We therefore repeated the analysis of genetic structure in the red deer with randomly sub-sampled datasets of decreasing size. The power to detect the genetic structure using clustering methods decreased with decreasing sample size.