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1,467 results for “Genetic structure”
Data from: The effect of variable frequency of sexual reproduction on the genetic structure of natural populations of a cyclical parthenogen
Cyclical parthenogens are a valuable system in which to empirically test theoretical predictions as to the genetic consequences of sexual reproduction in natural populations, particularly if the frequency of sexual relative to asexual reproduction can be quantified. In this study we utilized a series of lake populations of the cyclical parthenogen, Daphnia pulicaria, that vary consistently in their investment in sexual reproduction, to address the questions of whether the ecological variation in investment in sex is detectable at the genetic level, and if so, whether the genetic patterns seen are consistent with theoretical predictions. We show that there is variation in the genetic structure of these populations in a manner consistent with their investment in sexual reproduction. Populations engaging in a high frequency of sex were in Hardy-Weinberg and gametic phase equilibrium, and showed little genotypic differentiation across sampled years. In contrast, populations with a lower frequency of sex deviated widely from equilibrium, had reduced multi-locus clonal diversity, and showed significant temporal genotypic deviation.
Data from: Large-scale natural disturbance alters genetic population structure of the sailfin molly, Poecilia latipinna
Many inferences about contemporary rates of gene flow are based on the assumption that the observed genetic structure among populations is stable. Recent studies have uncovered several cases in which this assumption is tenuous. Most of those studies have focused on the effects that regular environmental fluctuations can have on genetic structure and gene flow patterns. Occasional catastrophic disturbances could also alter either the distribution of habitat or the spatial distribution of organisms in a way that affects population structure. However, evidence of such effects is sparse in the literature because it is difficult to obtain. Hurricanes, in particular, have the potential to exert dramatic effects on population structure of organisms found on islands or coral reefs or in near shore and coastal habitats. Here we draw on a historic genetic data set and new data to suggest that the genetic structure of sailfin molly (Poecilia latipinna) populations in north Florida was altered dramatically by an unusually large and uncommon type of storm surge associated with Hurricane Dennis in 2005. We compare the spatial pattern of genetic variation in these populations after Hurricane Dennis to the patterns described in an earlier study in this same area. We use comparable genetic data from another region of Florida, collected in the same two periods, to estimate the amount of change expected from typical temporal variation in population structure. The comparative natural history of sailfin mollies in these two regions indicates that the change in population structure produced by the storm surge is not the result of many local extinctions with recolonization from a few refugia but emerged from a pattern of mixing and redistribution.
Spatial genetic structure in a crustacean herbivore highlights the need for local considerations in Baltic Sea biodiversity management
<p>Incorporating species' eco-evolutionary responses to human-caused disturbances remains a challenge in marine management efforts. A prerequisite is knowledge of geographic structure and scale of genetic diversity and connectivity - the so-called seascape genetic patterns. The Baltic Sea is an excellent model system for studies linking seascape genetics with effects of anthropogenic stress. However, seascape genetic patterns in this area are only described for a few species and are completely unknown for invertebrate herbivores, which constitute a critical part of the ecosystem. This information is crucial for sustainable management, particularly under future scenarios of rapid environmental change. Here, we investigate the population genetic structure among 31 locations throughout the Baltic Sea, of which 45 % were located in marine protected areas, in one of the most important herbivores of this region, the isopod crustacean <i>Idotea balthica</i>, using an array of 33,774 genome-wide SNP markers derived from 2b-RAD sequencing. In addition, we generate a biophysical connectivity matrix for <i>I. balthica</i> from a combination of oceanographic current models and estimated life history traits. We find population structure on scales of hundreds of kilometers across the Baltic Sea, where genomic patterns in most cases closely match biophysical connectivity, indicating passive transport with oceanographic currents as an important mean of dispersal in this species. We also find a reduced genetic diversity in terms of heterozygosity along the main salinity gradient of the Baltic Sea, suggesting periods of low population size. Our results provide crucial information for management of a key ecosystem species under expected changes in temperature and salinity following global climate change in a marine coastal area.</p>
Data from: Spatially structured statistical network models for landscape genetics
A basic understanding of how the landscape impedes, or creates resistance to, the dispersal of organisms and hence gene flow is paramount for successful conservation science and management. Spatially structured ecological networks are often used to represent spatial landscape-genetic relationships, where nodes represent individuals or populations and resistance to movement is represented using non-binary edge weights. Weights are typically assigned or estimated by the user, rather than observed, and validating such weights is challenging. We provide a synthesis of current methods used to estimate edge weights and an overview of common model types, stressing the advantages and disadvantages of each approach and their ability to model landscape-genetic data. We further explore a set of spatial-statistical methods that provide ecologists with alternative approaches for modeling spatially explicit processes that may affect genetic structure. This includes an overview of spatial autoregressive models, with a particular focus on how correlation and partial correlation are used to represent neighborhood structure with the inverse of the covariance matrix (i.e., precision matrix). We then demonstrate how to model resistance by specifying an appropriate statistical model on the nodes, conditioned on the edge weights, through the precision matrix. This integration of network ecology and spatial statistics provides a practical analytical framework for landscape-genetic studies. The results can be used to make statistical inferences about the relative importance of individual landscape characteristics, such as the vegetative cover, hillslope, or the presence of roads or rivers, on gene flow. In addition, the R code we include allows readers to explore landscape-genetic structure in their own datasets, which will potentially provide new insights into the evolutionary processes that generated ecological networks, as well as valuable information about the optimal characteristics of conservation corridors.
Data from: Contemporary genetic structure and postglacial demographic history of the black scorpionfish, Scorpaena porcus, in the Mediterranean and the Black Seas
Understanding the distribution of genetic diversity in the light of past demographic events linked with climatic shifts will help to forecast evolutionary trajectories of ecosystems within the current context of climate change. In this study, mitochondrial sequences and microsatellite loci were analysed using traditional population genetic approaches together with Bayesian dating and the more recent approximate Bayesian computation scenario testing. The genetic structure and demographic history of a commercial fish, the black scorpionfish, Scorpaena porcus, was investigated throughout the Mediterranean and Black Seas. The results suggest that the species recently underwent population expansions, in both seas, likely concomitant with the warming period following the Last Glacial Maximum, 20 000 years ago. A weak contemporaneous genetic differentiation was identified between the Black Sea and the Mediterranean Sea. However, the genetic diversity was similar for populations of the two seas, suggesting a high number of colonizers entered the Black Sea during the interglacial period and/or the presence of a refugial population in the Black Sea during the glacial period. Finally, within seas, an east/west genetic differentiation in the Adriatic seems to prevail, whereas the Black Sea does not show any structured spatial genetic pattern of its population. Overall, these results suggest that the Black Sea is not that isolated from the Mediterranean, and both seas revealed similar evolutionary patterns related to climate change and changes in sea level.
Data from: Multiple processes drive genetic structure of humpback whale (Megaptera novaeangliae) populations across spatial scales
Elucidating patterns of population structure for species with complex life histories, and disentangling the processes driving such patterns, remains a significant analytical challenge. Humpback whale (Megaptera novaeangliae) populations display complex genetic structures that have not been fully resolved at all spatial scales. We generated a data set of nuclear markers for 3,575 samples spanning the seven breeding stocks and substocks found in the South Atlantic and western and northern Indian Oceans. For the total sample, and males and females separately, we assessed genetic diversity, tested for genetic differentiation between putative populations and isolation by distance, estimated the number of genetic clusters without a priori population information, and estimated rates of gene flow using maximum likelihood and Bayesian approaches. At the ocean basin scale, structure is governed by geographic distance (IBD p<0.05) and female fidelity to breeding areas, in line with current understanding of the drivers of broad-scale population structure. Consistent with previous studies, the Arabian Sea breeding stock was highly genetically differentiated (FST 0.034-0.161; p<0.01 for all comparisons). However, the breeding stock boundary between west South Africa and east Africa was more porous than expected based on genetic differentiation, cluster, and gene flow analyses. Instances of male-fidelity to breeding areas and relatively high rates of dispersal for females were also observed between the three substocks in the western Indian Ocean. This mismatch between demographic units and current management boundaries may have ramifications for assessments of the status and continued protections of populations still in recovery from commercial whaling.
Data from: Genetic structure in village dogs reveals a Central Asian domestication origin
Dogs were the first domesticated species, originating at least 15,000 y ago from Eurasian gray wolves. Dogs today consist primarily of two specialized groups—a diverse set of nearly 400 pure breeds and a far more populous group of free-ranging animals adapted to a human commensal lifestyle (village dogs). Village dogs are more genetically diverse and geographically widespread than purebred dogs making them vital for unraveling dog population history. Using a semicustom 185,805-marker genotyping array, we conducted a large-scale survey of autosomal, mitochondrial, and Y chromosome diversity in 4,676 purebred dogs from 161 breeds and 549 village dogs from 38 countries. Geographic structure shows both isolation and gene flow have shaped genetic diversity in village dog populations. Some populations (notably those in the Neotropics and the South Pacific) are almost completely derived from European stock, whereas others are clearly admixed between indigenous and European dogs. Importantly, many populations—including those of Vietnam, India, and Egypt—show minimal evidence of European admixture. These populations exhibit a clear gradient of short-range linkage disequilibrium consistent with a Central Asian domestication origin.
Data from: Inconsistent use of multiple comparison corrections in studies of population genetic structure: are some type I errors more tolerable than others?
Studies of genetic population structure often involve numerous tests of Hardy-Weinberg equilibrium (HWE), linkage disequilibrium (LD), and genetic differentiation. Tests of HWE or LD are important precursors to population structure assessments. When conducting multiple related statistical tests, type 1 error increases, e.g., familywise error rate (FWER) inflation. FWER inflation can alter the results of statistical tests and thus the conclusions. Authors are aware of the need to control for FWER inflation, but there has been low consistency of use. Furthermore, there is a potential for the choice of correction methods to be exploited to selectively use FWER corrections to avoid data exclusion or to result in increased the rejection of null hypotheses. We surveyed literature from 2011-2013 to determine if studies of population structure assess LD and HWE and if FWER corrections were applied consistently across different types of genetic differentiation, linkage disequilibrium, and Hardy-Weinberg equilibrium tests. We found a lack of documentation of FWER corrections in studies, and we advocate for authors to be more cognizant in reporting their corrections. We also found significantly inconsistent FWER corrections, with a bias towards less restrictive correction on genetic differentiation and more restrictive corrections with LD and HWE. While varied adjustments of FWER for different types of analyses might be justified, papers with inconsistent usage across tests of HWE, LD and genetic differentiation did not present rationale for their FWER corrections. We also found a lack of documentation of HWE, LD and FWER corrections in studies. We encourage authors to report statistical tests and related FWER corrections, use FWER corrections consistently or justify their different methods in the same study.
Data from: Genetic structure and diversity among historic and modern populations of the Sumatran rhinoceros (Dicerorhinus sumatrensis)
The Sumatran rhinoceros (Dicerorhinus sumatrensis), once widespread across Southeast Asia, now consists of as few as 30 individuals within Sumatra and Borneo. To aid in conservation planning, we sequenced 218 bp of control region mitochondrial (mt) DNA, identifying 17 distinct mitochondrial haplotypes across modern (N = 13) and museum (N = 26) samples. Museum specimens from Laos and Myanmar had divergent mtDNA, consistent with the placement of western mainland rhinos into the distinct subspecies D. s. lasiotis (presumed extinct). Haplotypes from Bornean rhinos were highly diverse, but dissimilar from those of other regions, supporting the distinctiveness of the subspecies D. s. harrissoni. Rhinos from Sumatra and Peninsular Malaysia shared mtDNA haplotypes, consistent with their traditional placement into a single subspecies D. s sumatrensis. Modern samples of D. s. sumatrensis were genotyped at 18 microsatellite loci. Rhinos within Sumatra formed two sub-populations, likely separated by the Barisan Mountains, though with only modest genetic differentiation between them. There are so few remaining Sumatran rhinoceros that separate management strategies for subspecies or subpopulations may not be viable, while each surviving rhino pedigree is likely to retain alleles found in no other individuals. Given the low population size and low reproductive potential of Sumatran rhinos, rapid genetic erosion is inevitable, while an under-appreciated concern is the potential for fixation of harmful genetic variants. Both concerns underscore two overriding priorities for the species: (1) translocation of wild rhinos to ex situ facilities, and (2) collection and storage of gametes and cell lines from every surviving captive and wild individual.
Data from: Strong population genetic structure in a broadcast-spawning Antarctic marine invertebrate
Although studies of population genetic structure are commonplace, a strong bias exists towards species from low latitudes and with relatively poor dispersal capabilities. Consequently, we used 280 Amplified Fragment Length Polymorphism (AFLP) bands to explore patterns of genetic differentiation among eight populations of a high latitude broadcast-spawning marine mollusc, the Antarctic limpet Nacella concinna. Over three hundred individuals were sampled along a latitudinal gradient spanning the Antarctic Peninsula from Adelaide Island to King George Island (67º–62º S), then to Signy Island (60ºS) and South Georgia (54ºS). Populations from the Antarctic Peninsula exhibited little genetic structure, but were themselves strongly differentiated from both Signy and South Georgia. This finding was analytically highly robust and implies the presence of significant oceanographic barriers to gene flow in a species long regarded as a classic example of a widely-dispersing broadcast-spawner.
FIGURES 1-2. 1 in Taxonomic diagnosis of Dicyrtomina ornata and D. saundersi (Collembola: Dicyrtomidae) and analysis of their population genetic structure
FIGURES 1-2. 1, Dicyrtomina ornata, habitus; 2, Dicyrtomina saundersi, habitus.
FIGURE 3 in Morphological diversity and genetic structure within Lerista kalumburu Storr, 1976 (Squamata: Scincomorpha: Sphenomorphidae) — taxonomic implications
FIGURE 3. Lerista kalumburu in life. Specimen from Theda Station. Photo courtesy of H. Cook.
Data from: Habitat diversification associated with urban development has a little effect on genetic structure in the annual native plant Commelina communis in an East Asian megacity
<p>Basic statistics for each population and genetic and landscape data between populations.</p>
SNP matrices and vcf files for phylogenetic, genetic structure and historical demographic analyses of Podocarpus from Hispaniola
<p><b>Aim</b><span>: </span>Hispaniola is the second largest island in the Caribbean and a hotspot of biodiversity. The island was formed by the fusion of a northern and southern palaeo-islands during the mid-Miocene (15 Ma). The historical split of Hispaniola together with repeated marine incursions during the Pleistocene are known to have influenced lineage divergence and genetic structure in a few birds and mammals, but the effect on vascular plants is less understood. The conifer genus <i>Podocarpus </i>has two species, <i>P. hispaniolensis </i>and <i>P. buchii, </i>that are endemic to the mountains of Hispaniola and are IUCN endangered. The former occurs in the mountains of the north, and the latter in the south, with a region of sympatry in the Central Cordillera. Here we evaluate the historical split of the two palaeo-islands, and repeated marine incursions as dispersal barriers to the geographical distribution of genetic diversity, genetic structure, divergence patterns, and the historical demography of the two species.</p> <p><b><span>Location</span></b><span>: Hispaniola island, Caribbean.</span></p> <p><b><span>Methods</span></b><span>: </span>Using Genotyping by Sequencing in 47 <i>Podocarpus</i> samples we identified two sets of single nucleotide polymorphisms for our analyses (74,260 and 22,657 SNPs).</p> <p><b><span>Results</span></b><span>: </span>The results show a population genetic structure that corresponds to the geographic distribution of the species in mountainous areas. <i>Podocarpus </i>in Hispaniola followed a stepping-stone colonization pattern with bottlenecks at each mountain colonization event.</p> <p><b><span>Main conclusions</span></b><span>:</span> The historical events in question did not seem to have influenced the genetic structure, diversity, or demography of <i>Podocarpus</i>, instead the current geographic barriers imposed by lowland xeric valleys did. The clear divergence between species together with the elevated within-population genetic diversity and significant genetic structure call for a multi-population <i>in situ</i> conservation of each species.</p>
FIGURE 4 in Phylogeography and Genetic Structure in the California Giant Salamander (Dicamptodon ensatus): Impacts of current and historic landscape features
FIGURE 4. Bayesian inference skyline plot of the mtDNA control region of D. ensatus.
Figure 5 from: Zhao L, Wang S, Qu F, Liu Z, Gao T (2022) A genetic assessment of the population structure and demographic history of Odontamblyopus lacepedii (Perciformes, Amblyopinae) from the northwestern Pacific. ZooKeys 1088: 1-15. https://doi.org/10.3897/zookeys.1088.70860
Figure 5 Bayesian Skyline Plots based on the mtDNA partial control region sequences of Odontamblyopus lacepedii.
Figure 2 from: Zhao L, Wang S, Qu F, Liu Z, Gao T (2022) A genetic assessment of the population structure and demographic history of Odontamblyopus lacepedii (Perciformes, Amblyopinae) from the northwestern Pacific. ZooKeys 1088: 1-15. https://doi.org/10.3897/zookeys.1088.70860
Figure 2 Maximum Likelihood tree is shown based on the control region haplotypes of Odontamblyopus lacepedii. The species of O. rebecca was used as the outgroup.
Figure 4 from: Zhao L, Wang S, Qu F, Liu Z, Gao T (2022) A genetic assessment of the population structure and demographic history of Odontamblyopus lacepedii (Perciformes, Amblyopinae) from the northwestern Pacific. ZooKeys 1088: 1-15. https://doi.org/10.3897/zookeys.1088.70860
Figure 4 Mismatch distribution for demographic expansion based on mtDNA partial control region sequences of Odontamblyopus lacepedii.
Micro-endemic species of snails and amphipods show population genetic structure across very small geographic ranges
<p class="MsoNormal"><span>Understanding variation in population genetic structure, even across small distances and for species with extremely limited ranges, is critical for conservation planning and the development of effective management strategies for imperiled species. Organisms that occupy the same geographic extent can maintain different population structures, ranging from highly diverged to panmictic. Such differences can result from differences in biological characteristics such as dispersal ability or demographic history. We used microsatellite loci to evaluate population genetic structure and variation of four desert spring invertebrates having high to low dispersal ability: the lung snail <em>Physa acuta</em>, two species of gilled snails (<em>Juturnia kosteri</em> and <em>Pyrgulopsis roswellensis</em>; family Hydrobiidae) and the amphipod <em>Gammarus desperatus</em>. The study location represents entire species ranges for the micro-endemic hydrobiids and <em>G. desperatus</em>, while <em>P. acuta</em> is ubiquitous throughout much of North America. We found little evidence of significant population genetic structure for <em>P. acuta</em><span> and </span><em>J. kosteri</em><span>,</span></span><em><span> </span></em><span>but much more for</span><em><span> </span></em><em><span>P. roswellensis </span></em><span>and </span><em><span>G. desperatus.</span></em><span> Our results demonstrate differences in habitat preference and/or dispersal ability between the species. While significant isolation-by-distance was detected in the two hydrobiids, dispersal is likely more limited in <em>P. roswellensis</em> than <em>J. kosteri</em>. This information provides insight into how gene flow shapes varying population genetic structure between species across small spatial scales (<100 km<sup>2</sup>). Most importantly, our results suggest that conservation agencies should not consider these microendemic species to be composed of single populations, but rather, that management plans for such species should account for population genetic variation across the species' ranges.</span></p>
Supplementary material 1 from: Jaun A, Wymann H-P, Lucek K (2022) Lack of genetic structure suggests high connectivity of Parnassius phoebus between nearby valleys in the Alps. Alpine Entomology 6: 1-6. https://doi.org/10.3897/alpento.6.80405
Table S1
ScienceDex guides
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.