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788 results for “genotypic data”
The genotypic data of elite European cultivar panel comprising 358 winter and 14 summer wheat varieties released from 1975 to 2007 at different marker densities
<p>This submission contains the genotpying data corresponding to the GABI-WHEAT and its subset TROST panel, at different densities i.e 35k, 90k for GABI-WHEAT and 135k for TROST panel. Additionally, the marker oligo sequences, envisioned to be used for mapping to wheat reference genome for obtaining marker phyical positions and thus assist genomic interoperability, are included. </p> <p>(35k, 135k and 90k are names given to markers originating from Affymetrix [Allen et al., 2017*; Muqaddasi et al., 2019, Muqaddasi et al., 2020**] and 90k iSELECT [Wang et al., 2014***] SNP array chips)</p> <p>*https://doi.org/10.1111/pbi.12635</p> <p>**https://doi.org/10.3835/plantgenome2018.05.0029</p> <p>***https://doi.org/10.1111/pbi.12183</p>
Microsatellite genotyping data for habitat-linked genetic structure for white-crowned sparrow (Zonotrichia leucophrys): local factors shape population genetic structure
<p>Ecological, environmental, and geographic factors all influence genetic structure. Species with broad distributions are ideal systems because they cover a range of ecological and environmental conditions allowing us to test which components predict genetic structure. This study presents a novel, broad geographic approach using molecular markers, morphology, and habitat modelling to investigate rangewide and local barriers causing contemporary genetic differentiation within the geographical range of three white-crowned sparrow (<i>Zonotrichia leucophrys</i>) subspecies: <i>Z. l. gambelii, Z. l. oriantha, </i>and <i>Z. l. pugetensis</i>. Three types of genetic markers showed geographic distance between sampling sites, elevation, and ecosystem type are key factors contributing to population genetic structure. Microsatellite markers revealed white-crowned<i> </i>sparrows<i> </i>do not group by subspecies, but instead indicated four groupings at a rangewide scale and two groupings based on coniferous and deciduous ecosystems at a local scale. Our analyses of morphological variation also revealed habitat differences; sparrows from deciduous ecosystems are larger than individuals from coniferous ecosystems based on principal component analyses. Habitat modeling showed isolation by distance was prevalent in describing genetic structure, but isolation by resistance also had a small but significant influence. Not only do these findings have implications concerning the accuracy of subspecies delineations, they also highlight the critical role of local factors such as habitat in shaping contemporary population genetic structure of species with high dispersal ability.</p>
Data from: Genotyping-in-Thousands by Sequencing panel development and application for high-resolution monitoring of introgressive hybridization within sockeye salmon
<p>Stocking programs have been widely implemented to re-establish extirpated fish species to their historical ranges; when employed in species with complex life histories, such management activities should include careful consideration of resulting hybridization dynamics with resident stocks and corresponding outcomes on recovery initiatives. Genetic monitoring can be instrumental for quantifying the extent of introgression over time, however, conventional markers typically have limited power for the identification of advanced hybrid classes, especially at the intra-specific level. Here, we demonstrate a workflow for developing, evaluating, and deploying a Genotyping-in-Thousands by Sequencing (GT-seq) SNP panel with the power to detect advanced hybrid classes to assess the extent and trajectory of intra-specific hybridization, using the sockeye salmon (<em>Oncorhynchus nerka)</em> stocking program in Skaha Lake, British Columbia, as a case study. Previous analyses detected significant levels of hybridization between the anadromous (sockeye) and freshwater resident (kokanee) forms of <em>O. nerka</em>, but were restricted to assigning individuals to pure-stock or "hybrid". Simulation analyses indicated our GT-seq panel had high accuracy, efficiency and power (> 94.5%) of assignment to pure-stock sockeye salmon/kokanee, F<sub>1</sub>, F<sub>2</sub>, and B<sub>2</sub> backcross-sockeye/kokanee. Re-analysis of 2016/2017 spawners previously analyzed using TaqMan<span> </span>assays and otolith microchemistry revealed shifts in assignment of some hybrids to adjacent pure-stock or B<sub>2</sub>-backcross classes, while new assignment of 2019 spawners revealed hybrids comprised 31% of the population, ~74% of which were B<sub>2</sub>-backcross or F<sub>2</sub>. Overall, the GT-seq panel development workflow presented here could be applied to virtually any system where genetic stock identification and intra-specific hybridization are important management parameters.</p>
Genotype by sequencing data from CHPRRU2, a panel of 282 maize inbred lines.
<p>Genotype by sequencing data from CHPRRU2, a panel of 282 maize inbred lines.</p>
Microsatellite genotype data for captive and wild Arabian leopards
<p>Genetic diversity underpins evolutionary potential that is essential for the long-term viability of wildlife populations. Captive populations harbour genetic diversity potentially lost in the wild, which could be valuable for release programs and genetic rescue. The Critically Endangered Arabian leopard (<em>Panthera pardus nimr</em>) has disappeared from most of its former range across the Arabian Peninsula, with fewer than 120 individuals left in the wild, and an additional 64 leopards in captivity. We (i) examine genetic diversity in the wild and captive populations to identify global patterns of genetic diversity and structure; (ii) estimate the size of the remaining leopard population across the Dhofar mountains of Oman using spatially explicit capture-recapture models on DNA and camera trap data, and (iii) explore the impact of genetic rescue using three complementary computer modelling approaches. We estimated a population size of 51 (95% CI: 32–79) in the Dhofar mountains and found that 8 out of 25 microsatellite alleles present in eight loci in captive leopards were undetected in the wild. This includes two alleles present only in captive founders known to have been wild-sourced from Yemen, which suggests that this captive population represents an important source for genetic rescue. We then assessed the benefits of reintroducing novel genetic diversity into the wild population, as well as the risks of elevating the genetic load through the release of captive-bred individuals. Simulations indicate that genetic rescue can improve the long-term viability of the wild population by reducing its genetic load and realised load. The model also suggests that the genetic load has been partly purged in the captive population, potentially making it a valuable source population for genetic rescue. However, the greater loss of its genetic diversity could exacerbate genomic erosion of the wild population during a rescue program, and these risks and benefits should be carefully evaluated. The next step in the recovery plan of the Arabian leopard is to empirically validate these conclusions, implement and monitor a genomics-informed management plan, and optimise a strategy for genetic rescue as a tool to recover Arabia's last big cat.</p>
Data for "Individual, but not population asymmetries, are modulated by social environment and genotype in Drosophila melanogaster"
<p>Dataset and scripts for the manuscript: "Individual, but not population asymmetries, are modulated by social environment and genotype in <em>Drosophila melanogaster". </em>We upload:</p> <p>1.Data. This directory contains the raw tracking data used for the analysis and the calibration files required by Flytracker for each strain of the Drosophila Genetic Reference Panel (RAL-69, RAL-136, RAL-338, RAL-535, RAL-796).<br> The format of the dataset consists in the output of tracking the (x,y) position and related features (e.g. velocity, distance) of flies in a circular arena using the software Flytracker - http://www.vision.caltech.edu/Tools/FlyTracker/ - For each video we have a trak.mat file and a feat.mat file. For instance, for a video in which we tracked the DGRP line RAL-136 (d338), with a pair of males (mm), trial 3 (t5) we had as outputs d338mmt5joined-feat.mat and d338mmt5joined-track.mat . You can find the description of the output here: http://www.vision.caltech.edu/Tools/FlyTracker/documentation.html</p> <p>2.Load_data _and_circling_scripts. This directory contains a MATLAB file with the instructions on how to load datasets and how to compute the circling index.</p> <p>3.Heatmap. This directory contains the instructions (readme_heatmap.txt) and scripts to (a) fix a bug in the feat files ouput by Flytracker using the calibration files and the script feat_compute_revised.m (b) plot the heatmap of the position and distance between partner flies in a dyad.</p>
Data from: Mating system of Caiman yacare (Reptilia Alligatoridae) described from microsatellite genotypes
The yacare caiman (Caiman yacare) is a reptile from South America and 1 of the 2 crocodilian species present in Argentina. The degradation of their natural habitat and strong hunting pressure led to a sharp numerical decline of wild populations. Nowadays, C. yacare is included in Appendix II of CITES, and ranching practices in some areas in Argentina are helping hatching success. In this context, it is important to better understand the population structure and mating system of the species. To do this, we amplified 10 microsatellite markers (SSRs) in 148 individuals of 13 C. yacare nests. All of the markers were polymorphic with 2–12 alleles per locus, with allelic sizes ranging between 154 and 400 bp and medium levels of polymorphism (H o = 0.152–0.551 and H e = 0.221–0.621). We were able to determine the maternal genotype in 9 out of 13 nests. In 6 of them we found more than 1 paternal genotype, with a maximum of 3 fathers for a single nest. This study is the first to provide evidence of multiple paternity behavior. These findings will be useful to improve management and conservation strategies for the species.
Data from: Genotypic covariance between the performance of a resident species and community assembly in the field
1.Genetic variation in resident species can influence the assembly and dynamics of communities, but the potential for these genetic effects to persist across generations is largely unresolved. In principle, persistent, directional changes in communities are only predicted when community properties covary genetically with the fitness of resident species. 2.Estimates of genetic covariance between the fitness of a resident species and its community are therefore necessary to 'close the eco-evolutionary loop' in studies of community genetics, but such estimates are rare. Emulating community genetics experiments in plants, we used clonal replicates of 21 genotypes of a resident species (the encrusting bryozoan, Hippopodina) to investigate the magnitude of genotypic variance contributing to assembly of a marine benthic community. 3.Genotypes explained up to 35% of variation in community assembly. Critically, the performance of Hippopodina genotypes covaried both with the evenness of communities, and with the abundances of some individual species, representing an indirect genetic effect that creates the potential for multigenerational interactions between Hippopodina and co-existing species. Our results suggest that different genotypes will associate with different community members consistently across generations, and such non-random associations can give rise to specialization. Further interactions between species other than Hippopodina itself may also be altered by effects of genetic variation in the focal species. 4.Furthermore, species in the community other than Hippopodina itself will interact more commonly in the presence of some genotypes over others. 5.Our results support the potential for genetic variation in one species to have deterministic effects on the dynamics of ecological communities.
Data from: Paralogs are revealed by proportion of heterozygotes and deviations in read ratios in genotyping by sequencing data from natural populations
Whole genome duplications have occurred in the recent ancestors of many plants, fish, and amphibians, resulting in a pervasiveness of paralogous loci and the potential for both disomic and tetrasomic inheritance in the same genome. Paralogs can be difficult to reliably genotype and are often excluded from genotyping-by-sequencing (GBS) analyses; however, removal requires paralogs to be identified which is difficult without a reference genome. We present a method for identifying paralogs in natural populations by combining two properties of duplicated loci: 1) the expected frequency of heterozygotes exceeds that for singleton loci, and 2) within heterozygotes, observed read ratios for each allele in GBS data will deviate from the 1:1 expected for singleton (diploid) loci. These deviations are often not apparent within individuals, particularly when sequence coverage is low; but, we postulated that summing allele reads for each locus over all heterozygous individuals in a population would provide sufficient power to detect deviations at those loci. We identified paralogous loci in three species: Chinook salmon (Oncorhynchus tshawytscha) which retains regions with ongoing residual tetrasomy on eight chromosome arms following a recent whole genome duplication, mountain barberry (Berberis alpina) which has a large proportion of paralogs that arose through an unknown mechanism, and dusky parrotfish (Scarus niger) which has largely re-diploidized following an ancient whole genome duplication. Importantly, this approach only requires the genotype and allele-specific read counts for each individual, information which is readily obtained from most GBS analysis pipelines.
Data from: The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster
Here we present a statistically rigorous approach to quantifying microarray expression data that allows the relative effects of multiple classes of treatment to be compared and incorporates analytical methods that are common to quantitative genetics. From the magnitude of gene effects and contributions of variance components, we find that gene expression in adult flies is affected most strongly by sex, less so by genotype and only weakly by age (for 1- and 6-wk flies); in addition, sex x genotype interactions may be present for as much as 10% of the Drosophila transcriptome. This interpretation is compromised to some extent by statistical issues relating to power and experimental design. Nevertheless, we show that changes in expression as small as 1.2-fold can be highly significant. Genotypic contributions to transcriptional variance may be of a similar magnitude to those relating to some quantitative phenotypes and should be considered when assessing the significance of experimental treatments.
Data from: Mitochondrial genotype and phenotypic plasticity of gene expression in response to cold acclimation in killifish
Adjustments of aerobic metabolic processes are critical components of organismal responses to environmental change that require tight co-ordination between the nuclear and mitochondrial genomes. Intraspecific differences in mitochondrial genotype can affect gene transcription in both genomes. Thus, variation in mitochondrial genotype may be associated with differences in the plasticity of gene expression when organisms are faced with changes in environmental conditions. Cold acclimation is known to result in metabolic responses involving increases in mitochondrial amount and capacity, suggesting that low temperatures may pose a particular challenge when co-ordinating the functions of the nuclear and mitochondrial genomes. In this study, we utilized RNA-seq to assess transcriptome-wide gene expression in the muscle of Atlantic killifish (Fundulus heteroclitus) from a population that contains segregating variation in mitochondrial genotype. We examined gene expression plasticity in response to 5°C acclimation and the effects of mitochondrial genotype on this plasticity. Cold acclimation resulted in changes in gene expression consistent with up-regulation of genes involved in many cellular functions, including spliceosomal and proteasomal processes, and with down-regulation of genes involved in extracellular matrix, muscle contraction and oxidative phosphorylation functions. There were few differences in gene expression between killifish with different mitochondrial genotypes: 14 genes demonstrated significant interactions between mitochondrial genotype and acclimation temperature and 3 genes demonstrated effects of mitochondrial genotype alone. These results indicate that variation in mitochondrial genotype has modest effects on gene expression; the majority of which are revealed as differences in plasticity as a result of environmental change.
Data from: High-throughput genotyping of green algal mutants reveals random distribution of mutagenic insertion sites and endonucleolytic cleavage of transforming DNA
A high-throughput genetic screening platform in a single-celled photosynthetic eukaryote would be a transformative addition to the plant biology toolbox. Here, we present ChlaMmeSeq (Chlamydomonas MmeI-based insertion site Sequencing), a tool for simultaneous mapping of tens of thousands of mutagenic insertion sites in the eukaryotic unicellular green alga Chlamydomonas reinhardtii. We first validated ChlaMmeSeq by in-depth characterization of individual insertion sites. We then applied ChlaMmeSeq to a mutant pool and mapped 11,478 insertions, covering 39% of annotated protein coding genes. We observe that insertions are distributed in a manner largely indistinguishable from random, indicating that mutants in nearly all genes can be obtained efficiently. The data reveal that sequence-specific endonucleolytic activities cleave the transforming DNA and allow us to propose a simple model to explain the origin of the poorly understood exogenous sequences that sometimes surround insertion sites. ChlaMmeSeq is quantitatively reproducible, enabling its use for pooled enrichment screens and for the generation of indexed mutant libraries. Additionally, ChlaMmeSeq allows genotyping of hits from Chlamydomonas screens on an unprecedented scale, opening the door to comprehensive identification of genes with roles in photosynthesis, algal lipid metabolism, the algal carbon-concentrating mechanism, phototaxis, the biogenesis and function of cilia, and other processes for which C. reinhardtii is a leading model system.
Data from: Genotyping-by-sequencing provides the first well-resolved phylogeny for coffee (Coffea) and insights into the evolution of caffeine content in its species: GBS coffee phylogeny and the evolution of caffeine content
A comprehensive and meaningful phylogenetic hypothesis for the commercially important coffee genus (Coffea) has long been a key objective for coffee researchers. For molecular studies, progress has been limited by low levels of sequence divergence, leading to insufficient topological resolution and statistical support in phylogenetic trees, particularly for the major lineages and for the numerous species occurring in Madagascar. We report here the first almost fully resolved, broadly sampled phylogenetic hypothesis for coffee, the result of combining genotyping-by-sequencing (GBS) technology with a newly developed, lab-based workflow to integrate short read next-generation sequencing for low numbers of additional samples. Biogeographic patterns indicate either Africa or Asia (or possibly the Arabian Peninsula) as the most likely ancestral locality for the origin of the coffee genus, with independent radiations across Africa, Asia, and the Western Indian Ocean Islands (including Madagascar and Mauritius). The evolution of caffeine, an important trait for commerce and society, was evaluated in light of our phylogeny. High and consistent caffeine content is found only in species from the equatorial, fully humid environments of West and Central Africa, possibly as an adaptive response to increased levels of pest predation. Moderate caffeine production, however, evolved at least one additional time recently (between 2 and 4 Mya) in a Madagascan lineage, which suggests that either the biosynthetic pathway was already in place during the early evolutionary history of coffee, or that caffeine synthesis within the genus is subject to convergent evolution, as is also the case for caffeine synthesis in coffee versus tea and chocolate.
Data from: Genotype-by-environment interactions for cuticular hydrocarbon expression in Drosophila simulans
Genotype-by-environment interactions (G x Es) describe genetic variation for phenotypic plasticity. Recent interest in the role of these interactions in sexual selection has identified G x Es across a diverse range of species and sexual traits. Additionally, theoretical work predicts that G x Es in sexual traits could help to maintain genetic variation, but could also disrupt the reliability of these traits as signals of mate quality. However, empirical tests of these theoretical predictions are scarce. We reared iso-female lines of Drosophila simulans across two axes of environmental variation (diet and temperature) in a fully factorial design and tested for G x Es in the expression of cuticular hydrocarbons (CHCs), a multivariate sexual trait in this species. We find sex-specific environmental, genetic and G x E effects on CHC expression, with G x Es for diet in both male and female CHC profile and a G x E for temperature in females. We also find some evidence for ecological crossover in these G x Es, and by quantifying variance components, genetic correlations and heritabilities, we show the potential for these G x Es to help maintain genetic variation and cause sexual signal unreliability in D. simulans CHC profiles.
Genotype and individual data for genetic structure in Louisiana Iris species reveals patterns of recent and historical admixture
<p><b><span>Premise: </span></b><span>When divergent lineages come into secondary contact reproductive isolation may be incomplete, thus providing an opportunity to investigate how speciation is manifested in the genome. The Louisiana Irises (<i>Iris</i>, series <i>Hexagonae</i>) comprise a group of three or more ecologically and reproductively divergent lineages that can produce hybrids where they come into contact. In this study we sought to estimate standing genetic variation to understand the current distribution of population structure in the Louisiana Irises.</span></p> <p><b><span>Methods:</span></b><span> We used genotyping-by-sequencing techniques to sample the genomes of Louisiana Iris species across their ranges. Twenty populations were sampled (total n=632) across 11,249 loci. Population genetic data were assessed using ENTROPY and PCA models. </span></p> <p><b><span>Results: </span></b><span>We discovered evidence for interspecific gene flow in parts of the range and revealed patterns of population structure at odds with widely accepted nominal taxonomy. Undescribed hybrid populations were discovered that were designated as belonging to the <i>I. brevicaulis</i> lineage. <i>Iris nelsonii </i>shared significant ancestry with only one of the purported parent species, <i>I. fulva, </i>evidence inconsistent with a hybrid origin.</span></p> <p><b><span>Conclusions: </span></b><span>This study provides several key findings important to the investigation of standing genetic variation in the Louisiana Iris species complex. <i>Iris brevicaulis</i> has a large amount of genetic diversity within it relative to the other nominal species. In addition, this study has discovered a previously unknown hybrid zone between <i>I. brevicaulis </i>and <i>I. hexagona</i> along the Texas coast. Finally, <i>I. nelsonii</i> does not appear to have mixed ancestry from three parental taxa as has been the longstanding hypothesis. </span></p>
SNP data for Syringa vulgaris genotypes
<p><span>Common lilac (<em>Syringa</em> <em>vulgaris</em> L.) is a popular landscaping plant. In the present study, its genotypes were investigated using genotyping-by-sequencing (GBS) methodology. Our aim was to obtain a large set of SNP markers, to reveal the precise identities of the investigated <em>S. vulgaris</em> accessions, and to discover genetic relationships among them. The studied plant material included local Finnish, previously unidentified accessions, known reference cultivars, and so-called historical accessions i.e., old shrubs growing in historic cultural landscapes. We intended to verify cultivar names for some valuable local common lilac accessions and to provide insights into the history of common lilac cultivation in Finland. In the analyses, we used a set of 15,007 SNP markers.</span> <span>First, polymorphic information contents (PIC) were calculated (mean 0.190, range 0.012–0.500 per marker). Then, to investigate genetic relationships among genotypes, a phylogenetic tree was constructed, and a principal coordinate analysis (PCoA) was conducted. A Bayesian analysis of population structure was carried out to determine the number and distribution of genetic clusters among samples. Genetic marker data combined with existing historical and phenotypic knowledge revealed novel information on the unidentified cultivars and on the genetic relationships among studied accessions, and solved the arrival and early history of common lilac in Finland. Overall, such comprehensive genomic characterization and deep understanding of genetic relationships of <em>S. vulgaris</em> can be used when utilizing present cultivars and developing new ones in future breeding programs.</span></p>
Data from: Single nucleotide polymorphism discovery via genotyping by sequencing to assess population genetic structure and recurrent polyploidization in Andropogon gerardii
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Data from: Influence of hepatitis C virus and IL28B genotypes on liver stiffness
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Data from: Susceptibility of Macrosiphum euphorbiae to the parasitoid Aphidius ervi: larval development depends on host aphid genotype
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Data from: A 34K SNP genotyping array for Populus trichocarpa: Design, application to the study of natural populations and transferability to other Populus species
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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