68 datasets found
  1. d

    Data from: Inferring the demographic history of Drosophila subobscura from...

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Apr 19, 2025
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    Roser Pratdesaba; Carmen Segarra; Montserrat Aguadé (2025). Inferring the demographic history of Drosophila subobscura from nucleotide variation at regions not affected by chromosomal inversions [Dataset]. http://doi.org/10.5061/dryad.j126v
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    Dataset updated
    Apr 19, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Roser Pratdesaba; Carmen Segarra; Montserrat Aguadé
    Time period covered
    Mar 18, 2015
    Description

    Drosophila subobscura presents a rich and complex chromosomal inversion polymorphism. It can thus be considered a model system i) to study the mechanisms originating inversions and how inversions affect the levels and patterns of variation in the inverted regions, and ii) to study adaptation at both the single-gene and chromosomal inversion levels. It is therefore important to infer its demographic history since previous information indicated that its nucleotide variation is not at mutation-drift equilibrium. For that purpose, we sequenced 16 non-coding regions distributed across those parts of the J chromosome not affected by inversions in the studied population and possibly either by other selective events. The pattern of variation detected in these 16 regions is similar to that previously reported within different chromosomal arrangements, suggesting that the latter results would, thus, mainly reflect recent demographic events rather than the partial selective sweep imposed by the or...

  2. f

    Basic regression results.

    • plos.figshare.com
    xls
    Updated Jun 6, 2024
    + more versions
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    Mingzhi Zhang; Chao Chen; Xiangyu Zhou; Xinpei Wang; Bowen Wang; Fuying Huan; Jianxu Liu (2024). Basic regression results. [Dataset]. http://doi.org/10.1371/journal.pone.0296623.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Mingzhi Zhang; Chao Chen; Xiangyu Zhou; Xinpei Wang; Bowen Wang; Fuying Huan; Jianxu Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The demographic structure is an important factor influencing the development of the services industry. As the country with the world’s most serious aging problem, China’s service industry structure is likely to undergo profound changes in response to the rapid demographic transition. Therefore, this paper examines the effect of population aging on the development of the service industry in the context of China’s accelerating population aging. The study found that: (1) Population aging has a significant "inverted U" effect on the development of the services industry. (2) The impact of population aging on the development of the service industry has obvious regional and industry heterogeneity. The study of regional heterogeneity found that population aging in economically developed regions has a more obvious effect on the development of the service industry than in economically less developed regions. Industry heterogeneity studies found that population aging has an obvious promotional effect on the development of medical and other rigid demand industries, while the effect on other non-rigid demand industries is not significant. (3) The threshold effect test found that when the degree of population aging exceeds the threshold, the stimulating effect of population aging on the development of the services industry is no longer significant. The research in this paper provides useful insights into the likely response to changes in the industrial structure of the services industry, and offers some implications for countries with similar demographic profiles to China.

  3. f

    Population Genomics of Inversion Polymorphisms in Drosophila melanogaster

    • plos.figshare.com
    zip
    Updated Jun 1, 2023
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    Russell B. Corbett-Detig; Daniel L. Hartl (2023). Population Genomics of Inversion Polymorphisms in Drosophila melanogaster [Dataset]. http://doi.org/10.1371/journal.pgen.1003056
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    zipAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS Genetics
    Authors
    Russell B. Corbett-Detig; Daniel L. Hartl
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Chromosomal inversions have been an enduring interest of population geneticists since their discovery in Drosophila melanogaster. Numerous lines of evidence suggest powerful selective pressures govern the distributions of polymorphic inversions, and these observations have spurred the development of many explanatory models. However, due to a paucity of nucleotide data, little progress has been made towards investigating selective hypotheses or towards inferring the genealogical histories of inversions, which can inform models of inversion evolution and suggest selective mechanisms. Here, we utilize population genomic data to address persisting gaps in our knowledge of D. melanogaster's inversions. We develop a method, termed Reference-Assisted Reassembly, to assemble unbiased, highly accurate sequences near inversion breakpoints, which we use to estimate the age and the geographic origins of polymorphic inversions. We find that inversions are young, and most are African in origin, which is consistent with the demography of the species. The data suggest that inversions interact with polymorphism not only in breakpoint regions but also chromosome-wide. Inversions remain differentiated at low levels from standard haplotypes even in regions that are distant from breakpoints. Although genetic exchange appears fairly extensive, we identify numerous regions that are qualitatively consistent with selective hypotheses. Finally, we show that In(1)Be, which we estimate to be ∼60 years old (95% CI 5.9 to 372.8 years), has likely achieved high frequency via sex-ratio segregation distortion in males. With deeper sampling, it will be possible to build on our inferences of inversion histories to rigorously test selective models—particularly those that postulate that inversions achieve a selective advantage through the maintenance of co-adapted allele complexes.

  4. Z

    Data: Chromosomal inversions and the demography of speciation in Drosophila...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Mar 15, 2024
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    Poikela, Noora (2024). Data: Chromosomal inversions and the demography of speciation in Drosophila montana and Drosophila flavomontana [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10635470
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    Dataset updated
    Mar 15, 2024
    Dataset authored and provided by
    Poikela, Noora
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Chromosome-level genome assemblies of Drosophila montana and Drosophila flavomontana that are associated with the publication "Chromosomal inversions and the demography of speciation in Drosophila montana and Drosophila flavomontana" by Poikela et al. (2024).

    Dmontana_chromosomes = only D. montana scaffolds assigned to chromosomes

    Dmontana_all_regions = all genomic D. montana regions

    Dflavomontana_chromosomes = only D. flavomontana scaffolds assigned to chromosomes

    Dflavomontana_all_regions = all genomic D. flavomontana regions

  5. d

    Identifying targets of selection in mosaic genomes with machine learning:...

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    • explore.openaire.eu
    • +2more
    Updated Jun 23, 2025
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    Qixin He; L. Lacey Knowles (2025). Identifying targets of selection in mosaic genomes with machine learning: applications in Anopheles gambiae for detecting sites within locally adapted chromosomal inversions [Dataset]. http://doi.org/10.5061/dryad.h0649
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    Dataset updated
    Jun 23, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Qixin He; L. Lacey Knowles
    Time period covered
    Mar 15, 2016
    Description

    Chromosomal inversions are important structural changes that may facilitate divergent selection when they capture co-adaptive loci in the face of gene flow. However, identifying selection targets within inversions can be challenging. The high degrees of differentiation between heterokaryotypes, as well as the differences in demographic histories of collinear regions compared with inverted ones, reduce the power of traditional outlier analyses for detecting selected loci. Here, we develop a new approach that uses discriminant functions informed from inversion-specific expectations to classify loci that are under selection (or drift). Analysis of RAD sequencing data we collected in a classic dipteran species with polymorphic inversion clines-Anopheles gambiae, a malaria vector species from sub-Saharan Africa-demonstrates the benefits of the approach compared with traditional outlier analyses. We focus specifically on two polymorphic inversions, the 2La and 2Rb arrangements that predominat...

  6. n

    Data from: Divergent population structure and climate associations of a...

    • data.niaid.nih.gov
    • datasetcatalog.nlm.nih.gov
    • +2more
    zip
    Updated Apr 28, 2014
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    Elen Oneal; David B. Lowry; Kevin M. Wright; Zhirui Zhu; John H. Willis (2014). Divergent population structure and climate associations of a chromosomal inversion polymorphism across the Mimulus guttatus species complex [Dataset]. http://doi.org/10.5061/dryad.g1s47
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    zipAvailable download formats
    Dataset updated
    Apr 28, 2014
    Dataset provided by
    Duke University
    Authors
    Elen Oneal; David B. Lowry; Kevin M. Wright; Zhirui Zhu; John H. Willis
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Western North America
    Description

    Chromosomal rearrangement polymorphisms are common and increasingly found to be associated with adaptive ecological divergence and speciation. Rearrangements, such as inversions, reduce recombination in heterozygous individuals and thus can protect favorable allelic combinations at linked loci, facilitating their spread in the presence of gene flow. Recently, we identified a chromosomal inversion polymorphism that contributes to ecological adaptation and reproductive isolation between annual and perennial ecotypes of the yellow monkeyflower, Mimulus guttatus. Here we evaluate the population genetic structure of this inverted region in comparison with the collinear regions of the genome across the M. guttatus species complex. We tested whether annual and perennial M. guttatus exhibit different patterns of divergence for loci in the inverted and noninverted regions of the genome. We then evaluated whether there are contrasting climate associations with these genomic regions through redundancy analysis. We found that the inversion exhibits broadly different patterns of divergence among annual and perennial M. guttatus and is associated with environmental variation across population accessions. This study is the first widespread population genetic survey of the diversity of the M. guttatus species complex. Our findings contribute to a greater understanding of morphological, ecological, and genetic evolutionary divergence across this highly diverse group of closely related ecotypes and species. Finally, understanding species relationships among M. guttatus sp. has hitherto been stymied by accumulated evidence of substantial gene flow among populations as well as designated species. Nevertheless, our results shed light on these relationships and provide insight into adaptation in life history traits within the complex.

  7. g

    FURUKANE, Utaro, YOKOTA, Toshiaki, KAWASAKI, Ken, ODA, Toshiatsu -...

    • gimi9.com
    Updated Mar 6, 2025
    + more versions
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    (2025). FURUKANE, Utaro, YOKOTA, Toshiaki, KAWASAKI, Ken, ODA, Toshiatsu - Population Inversion in an Optically Thick Recombining Hydrogen Plasma | gimi9.com [Dataset]. https://gimi9.com/dataset/136_187_101_184_5000_dataset_oai-irdb-nii-ac-jp-01130-0006562305
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    Dataset updated
    Mar 6, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    🇯🇵 Japan

  8. g

    FURUKANE, Utaro, TSUJI, Yasumasa, ODA, Toshiatsu - Population Inversion...

    • gimi9.com
    Updated Mar 6, 2025
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    (2025). FURUKANE, Utaro, TSUJI, Yasumasa, ODA, Toshiatsu - Population Inversion between the Ground State and the First Excited State in a Recombining Hydrogen Plasma | gimi9.com [Dataset]. https://gimi9.com/dataset/136_187_101_184_5000_dataset_oai-irdb-nii-ac-jp-01130-0006562280
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    Dataset updated
    Mar 6, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    🇯🇵 일본

  9. o

    Data and Code for: Inversions in US Presidential Elections: 1836-2016

    • openicpsr.org
    delimited, stata
    Updated Oct 2, 2020
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    Michael Geruso; Dean Spears; Ishaana Talesara (2020). Data and Code for: Inversions in US Presidential Elections: 1836-2016 [Dataset]. http://doi.org/10.3886/E123381V1
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    stata, delimitedAvailable download formats
    Dataset updated
    Oct 2, 2020
    Dataset provided by
    American Economic Association
    Authors
    Michael Geruso; Dean Spears; Ishaana Talesara
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Inversions---in which the popular vote winner loses the election---have occurred in four US presidential races. We show that rather than being statistical flukes, inversions have been ex ante likely since the early 1800s. In elections yielding a popular vote margin within one point (one-eighth of presidential elections), about 40% will be inversions in expectation. We show this conditional probability is remarkably stable across historical periods---despite differences in which groups voted, which states existed, and which parties participated. Our findings imply that the US has experienced so few inversions merely because there have been so few elections (and fewer close elections).

  10. g

    ODA, Toshiatsu, FURUKANE, Utaro - Population Inversion and Threshold...

    • gimi9.com
    Updated Mar 6, 2025
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    (2025). ODA, Toshiatsu, FURUKANE, Utaro - Population Inversion and Threshold Condition for Laser Oscillation in Optically Thin and Thick Recombining Plasmas | gimi9.com [Dataset]. https://gimi9.com/dataset/136_187_101_184_5000_dataset_oai-irdb-nii-ac-jp-01130-0006562316
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    Dataset updated
    Mar 6, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    🇯🇵 Japan

  11. d

    Data from: Genomic evidence for role of inversion 3RP of Drosophila...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Mar 23, 2015
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    Rahul V. Rane; Lea Rako; Siu Fai Lee; Ary A. Hoffmann; Martin Kapun (2015). Genomic evidence for role of inversion 3RP of Drosophila melanogaster in facilitating climate change adaptation [Dataset]. http://doi.org/10.5061/dryad.5q0m8
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    zipAvailable download formats
    Dataset updated
    Mar 23, 2015
    Dataset provided by
    Dryad
    Authors
    Rahul V. Rane; Lea Rako; Siu Fai Lee; Ary A. Hoffmann; Martin Kapun
    Time period covered
    Mar 3, 2015
    Description

    Scripts and manual for bioinformatic analysesRVR_pipeline.shChr 3L -> Population - Is [Alignment Files]3LIs_crams.tar.bz2Chr 3L -> Population - Ys [Alignment Files]3LYs_crams.tar.bz2Chr 3L -> Population - Ii [Alignment Files]3LIi_crams.tar.bz2Chr 3R -> Population - Is [Alignment Files]3RIs_crams.tar.bz2Chr 3R -> Population - Ys [Alignment Files]3RYs_crams.tar.bz2Chr 3R -> Population - Ii [Alignment Files]3RIi_crams.tar.bz2Imputed and combined variant call filesVCF files for 3 populations after data imputation3L-3R_Imputed_Merged_Variant_calls.tar.gzRaw variant calls from alignment filesVCF files created using GATK UnifiedGenotyper from alignment files3L-3R_Raw_variant_calls.tar.gzFst calculationsFST calculations for all comparisons per SNP and in 200kb windows sliding every 20kb, using VCFTOOLSFst_calculations_VCFTOOLS.tar.gz

  12. d

    Data from: Individual inversions or their combinations: which is the main...

    • datadryad.org
    • data.niaid.nih.gov
    • +2more
    zip
    Updated Nov 24, 2015
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    Goran Zivanovic; Concepció Arenas; Francesc Mestres (2015). Individual inversions or their combinations: which is the main selective target in a natural population of Drosophila subobscura? [Dataset]. http://doi.org/10.5061/dryad.1h7gr
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    zipAvailable download formats
    Dataset updated
    Nov 24, 2015
    Dataset provided by
    Dryad
    Authors
    Goran Zivanovic; Concepció Arenas; Francesc Mestres
    Time period covered
    Nov 23, 2015
    Area covered
    Serbia, Avala Mountain
    Description

    Drosophila subobscura karyotypesData on D. subobscura karyotypes from Mt. Avala. Jun-July 2014Zivanovic et al. Karyotypes.xlsxDrosophila subobscura polymorphismData on Drosophila subobscura polymorphism for the whole chromosomal set. Data are from Mt. Avala, Serbia.Zivanovic et al. Polymorphism.xlsx

  13. d

    Data from: Sexually-selected differences in warbler plumage are related to a...

    • search.dataone.org
    Updated Aug 29, 2024
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    Peter Dunn; Nicholas Sly; Corey Freeman-Gallant; Amberleigh Henschen; Christen Bossu; Kristen Ruegg; Piotr Minias; Linda Whittingham (2024). Sexually-selected differences in warbler plumage are related to a putative inversion on the Z chromosome [Dataset]. http://doi.org/10.5061/dryad.g1jwstqxd
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    Dataset updated
    Aug 29, 2024
    Dataset provided by
    Dryad Digital Repository
    Authors
    Peter Dunn; Nicholas Sly; Corey Freeman-Gallant; Amberleigh Henschen; Christen Bossu; Kristen Ruegg; Piotr Minias; Linda Whittingham
    Time period covered
    Jan 1, 2023
    Description

    Large structural variants in the genome, such as inversions, may play an important role in producing population structure and local adaptation to the environment through suppression of recombination. However, relatively few studies have linked inversions to phenotypic traits that are sexually selected and may play a role in reproductive isolation. Here we found that geographic differences in the sexually-selected plumage of a warbler, the common yellowthroat (Geothlypis trichas), are largely due to differences on the Z (sex) chromosome (males are ZZ), which contains at least one putative inversion spanning 40% (31/77 Mb) of its length. The inversions on the Z chromosome vary dramatically east and west of the Appalachian mountains, which provides evidence of cryptic population structure within the range of the most widespread eastern subspecies (G. t. trichas). In an eastern (New York) and western (Wisconsin) population of this subspecies, female prefer different male ornaments; larger ..., , , # Data from: Sexually-selected differences in warbler plumage are related to a putative inversion on the Z chromosome

    https://doi.org/10.5061/dryad.g1jwstqxd

    Description of the data and file structure

    Files and variables

    Files on Dryad

    1. Table S1.doc – A copy of this MSWord file is also on the publisher’s website. The file contains a summary of sample sizes and type of sequence data for each yellowthroat population.
    2. Supporting Data Table S1_WINY_20kb_Fst_Autosome_Genes.xls (807 rows, 11 columns). -- Outlier genes (top 1% of Fst in 20kb windows) between NY (New York) and WI (Wisconsin) populations on the autosomes from pool-seq samples (based on analysis of VCF pool-seq files; see #5 below). The pooled sequences are at Bioproject PRJNA734331 and the reference genome is Genbank Assembly GCA_009764595.1. There were 763 annotated genes and 43 with unknown function. Empty cells under Gene Symbol and Pigment indicate that ...
  14. f

    Demographic distribution of the individuals in the study*.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Bahram Namjou; Yizhao Ni; Isaac T. W. Harley; Iouri Chepelev; Beth Cobb; Leah C. Kottyan; Patrick M. Gaffney; Joel M. Guthridge; Kenneth Kaufman; John B. Harley (2023). Demographic distribution of the individuals in the study*. [Dataset]. http://doi.org/10.1371/journal.pone.0115614.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bahram Namjou; Yizhao Ni; Isaac T. W. Harley; Iouri Chepelev; Beth Cobb; Leah C. Kottyan; Patrick M. Gaffney; Joel M. Guthridge; Kenneth Kaufman; John B. Harley
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description
    • Values are the number of patients/number of controls.Demographic distribution of the individuals in the study*.
  15. f

    Robustness test.

    • plos.figshare.com
    xls
    Updated Jun 6, 2024
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    Mingzhi Zhang; Chao Chen; Xiangyu Zhou; Xinpei Wang; Bowen Wang; Fuying Huan; Jianxu Liu (2024). Robustness test. [Dataset]. http://doi.org/10.1371/journal.pone.0296623.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Mingzhi Zhang; Chao Chen; Xiangyu Zhou; Xinpei Wang; Bowen Wang; Fuying Huan; Jianxu Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The demographic structure is an important factor influencing the development of the services industry. As the country with the world’s most serious aging problem, China’s service industry structure is likely to undergo profound changes in response to the rapid demographic transition. Therefore, this paper examines the effect of population aging on the development of the service industry in the context of China’s accelerating population aging. The study found that: (1) Population aging has a significant "inverted U" effect on the development of the services industry. (2) The impact of population aging on the development of the service industry has obvious regional and industry heterogeneity. The study of regional heterogeneity found that population aging in economically developed regions has a more obvious effect on the development of the service industry than in economically less developed regions. Industry heterogeneity studies found that population aging has an obvious promotional effect on the development of medical and other rigid demand industries, while the effect on other non-rigid demand industries is not significant. (3) The threshold effect test found that when the degree of population aging exceeds the threshold, the stimulating effect of population aging on the development of the services industry is no longer significant. The research in this paper provides useful insights into the likely response to changes in the industrial structure of the services industry, and offers some implications for countries with similar demographic profiles to China.

  16. g

    ODA, Toshiatsu, FURUKANE, Utaro - Population Inversion in a Recombining...

    • gimi9.com
    Updated Mar 6, 2025
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    (2025). ODA, Toshiatsu, FURUKANE, Utaro - Population Inversion in a Recombining Hydrogen Plasma Interacting with a Helium Gas | gimi9.com [Dataset]. https://gimi9.com/dataset/136_187_101_184_5000_dataset_oai-irdb-nii-ac-jp-01130-0006595608
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    Dataset updated
    Mar 6, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    🇯🇵 일본

  17. d

    Data from: Multiple forms of balancing selection maintain inversion...

    • datadryad.org
    zip
    Updated Jul 17, 2025
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    Thomas Flatt; Margot Paris; Esra Durmaz Mitchell; Envel Kerdaffrec; Doriane Rubin; Cécile Spichtig; Felicitas Zurbriggen; Joël Becker; Hannah Augustijnen; Harshavardhan Thyagarajan; Eliane Zinn; Fanny Gagliardi; Elliot Gobet; Tristan Rey; Yvan Rime; Sofia Ribeiro Machado; Jeremias Bachmann; Noemi Sgammeglia; Paul Schmidt (2025). Multiple forms of balancing selection maintain inversion polymorphism [Dataset]. http://doi.org/10.5061/dryad.bvq83bkn7
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    zipAvailable download formats
    Dataset updated
    Jul 17, 2025
    Dataset provided by
    Dryad
    Authors
    Thomas Flatt; Margot Paris; Esra Durmaz Mitchell; Envel Kerdaffrec; Doriane Rubin; Cécile Spichtig; Felicitas Zurbriggen; Joël Becker; Hannah Augustijnen; Harshavardhan Thyagarajan; Eliane Zinn; Fanny Gagliardi; Elliot Gobet; Tristan Rey; Yvan Rime; Sofia Ribeiro Machado; Jeremias Bachmann; Noemi Sgammeglia; Paul Schmidt
    Time period covered
    Jun 28, 2025
    Description

    Multiple forms of balancing selection maintain inversion polymorphism

    Dataset DOI: 10.5061/dryad.bvq83bkn7

    Description of the data and file structure

    The main aim of our study (Paris et al. 2025) was to investigate the effects of the In(3R)Payne inversion polymorphism on a suite of fitness-related traits in the vinegar fly, Drosophila melanogaster. Here we present the raw data of our study (see: Paris_et_al_2025_Heredity_raw_data.xlsx). For further details see our paper Paris et al. 2025, entitled "Multiple Forms of Balancing Selection Maintain Inversion Polymorphism", published in Heredity. For additional details please contact the first author, Margot Paris (margot.paris@unifr.ch), or the corresponding author, Thomas Flatt (thomas.flatt@unifr.ch).

    Files and variables

    File: Paris_et_al_2025_Heredity_raw_data.xlsx

    Description: Each tab of the excel file provides t...

  18. n

    Data from: Linkage disequilibrium network analysis (LDna) gives a global...

    • data.niaid.nih.gov
    • search.dataone.org
    • +2more
    zip
    Updated Jan 16, 2015
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    Petri Kemppainen; Christopher G. Knight; Devojit K. Sarma; Thaung Hlaing; Anil Prakash; Yan Naung Maung Maung; Pradya Somboon; Jagadish Mahanta; Catherine Walton (2015). Linkage disequilibrium network analysis (LDna) gives a global view of chromosomal inversions, local adaptation and geographic structure [Dataset]. http://doi.org/10.5061/dryad.2t764
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    zipAvailable download formats
    Dataset updated
    Jan 16, 2015
    Dataset provided by
    Regional Medical Research Centre
    University of Manchester
    Czech Academy of Sciences, Institute of Vertebrate Biology
    Chiang Mai University
    Authors
    Petri Kemppainen; Christopher G. Knight; Devojit K. Sarma; Thaung Hlaing; Anil Prakash; Yan Naung Maung Maung; Pradya Somboon; Jagadish Mahanta; Catherine Walton
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Recent advances in sequencing allow population-genomic data to be generated for virtually any species. However, approaches to analyse such data lag behind the ability to generate it, particularly in nonmodel species. Linkage disequilibrium (LD, the nonrandom association of alleles from different loci) is a highly sensitive indicator of many evolutionary phenomena including chromosomal inversions, local adaptation and geographical structure. Here, we present linkage disequilibrium network analysis (LDna), which accesses information on LD shared between multiple loci genomewide. In LD networks, vertices represent loci, and connections between vertices represent the LD between them. We analysed such networks in two test cases: a new restriction-site-associated DNA sequence (RAD-seq) data set for Anopheles baimaii, a Southeast Asian malaria vector; and a well-characterized single nucleotide polymorphism (SNP) data set from 21 three-spined stickleback individuals. In each case, we readily identified five distinct LD network clusters (single-outlier clusters, SOCs), each comprising many loci connected by high LD. In A. baimaii, further population-genetic analyses supported the inference that each SOC corresponds to a large inversion, consistent with previous cytological studies. For sticklebacks, we inferred that each SOC was associated with a distinct evolutionary phenomenon: two chromosomal inversions, local adaptation, population-demographic history and geographic structure. LDna is thus a useful exploratory tool, able to give a global overview of LD associated with diverse evolutionary phenomena and identify loci potentially involved. LDna does not require a linkage map or reference genome, so it is applicable to any population-genomic data set, making it especially valuable for nonmodel species.

  19. f

    Adaptive Role of Inversion Polymorphism of Drosophila subobscura in Lead...

    • figshare.com
    docx
    Updated May 30, 2023
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    Bojan Kenig; Zorana Kurbalija Novičić; Aleksandra Patenković; Marina Stamenković-Radak; Marko Anđelković (2023). Adaptive Role of Inversion Polymorphism of Drosophila subobscura in Lead Stressed Environment [Dataset]. http://doi.org/10.1371/journal.pone.0131270
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bojan Kenig; Zorana Kurbalija Novičić; Aleksandra Patenković; Marina Stamenković-Radak; Marko Anđelković
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Local adaptation to environmental stress at different levels of genetic polymorphism in various plants and animals has been documented through evolution of heavy metal tolerance. We used samples of Drosophila subobscura populations from two differently polluted environments to analyze the change of chromosomal inversion polymorphism as genetic marker during laboratory exposure to lead. Exposure to environmental contamination can affect the genetic content within a particular inversion and produce targets for selection in populations from different environments. The aims were to discover whether the inversion polymorphism is shaped by the local natural environments, and if lead as a selection pressure would cause adaptive divergence of two populations during the multigenerational laboratory experiment. The results showed that populations retain signatures from past contamination events, and that heavy metal pollution can cause adaptive changes in population. Differences in inversion polymorphism between the two populations increased over generations under lead contamination in the laboratory. The inversion polymorphism of population originating from the more polluted natural environment was more stable during the experiment, both under conditions with and without lead. Therefore, results showed that inversion polymorphism as a genetic marker reflects a strong signature of adaptation to the local environment, and that historical demographic events and selection are important for both prediction of evolutionary potential and long-term viability of natural populations.

  20. Data from: Genomic analyses of three malaria vectors reveals extensive...

    • zenodo.org
    • data.niaid.nih.gov
    • +2more
    txt
    Updated May 28, 2022
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    S. M. O'Loughlin; S. Magesa; C. Mbogo; F. Mosha; J. Midega; S. Lomas; A. Burt; S. M. O'Loughlin; S. Magesa; C. Mbogo; F. Mosha; J. Midega; S. Lomas; A. Burt (2022). Data from: Genomic analyses of three malaria vectors reveals extensive shared polymorphism but contrasting population histories [Dataset]. http://doi.org/10.5061/dryad.hm6tt
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    txtAvailable download formats
    Dataset updated
    May 28, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    S. M. O'Loughlin; S. Magesa; C. Mbogo; F. Mosha; J. Midega; S. Lomas; A. Burt; S. M. O'Loughlin; S. Magesa; C. Mbogo; F. Mosha; J. Midega; S. Lomas; A. Burt
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Anopheles gambiae s.l. are important malaria vectors, but little is known about their genomic variation in the wild. Here we present inter- and intra- species analysis of genome-wide RADseq data, in three Anopheles gambiae s.l. species collected from East Africa. The mosquitoes fall into three genotypic clusters representing described species (An. gambiae, An. arabiensis, and An. merus) with no evidence of cryptic breeding units. An. merus is the most divergent of the three species, supporting a recent new phylogeny based on chromosomal inversions. Even though the species clusters are well separated, there is extensive shared polymorphism, particularly between An. gambiae and An. arabiensis. Divergence between An. gambiae and An. arabiensis does not vary across the autosomes, but is higher in X-linked inversions than elsewhere on X or on the autosomes, consistent with the suggestion that this inversion (or a gene within it) is important in reproductive isolation between the species. The 2La/2L+a inversion shows no more evidence of introgression between An. gambiae and An. arabiensis than the rest of the autosomes. Population differentiation within An. gambiae and An. arabiensis is weak over ~190-270km, implying no strong barriers to dispersal. Analysis of Tajima's D and the allele frequency spectrum is consistent with modest population increases in An. arabiensis and An. merus, but a more complex demographic history of expansion followed by contraction in An. gambiae. Although they are less than 200km apart, the two An. gambiae populations show evidence of different demographic histories.

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Roser Pratdesaba; Carmen Segarra; Montserrat Aguadé (2025). Inferring the demographic history of Drosophila subobscura from nucleotide variation at regions not affected by chromosomal inversions [Dataset]. http://doi.org/10.5061/dryad.j126v

Data from: Inferring the demographic history of Drosophila subobscura from nucleotide variation at regions not affected by chromosomal inversions

Related Article
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Dataset updated
Apr 19, 2025
Dataset provided by
Dryad Digital Repository
Authors
Roser Pratdesaba; Carmen Segarra; Montserrat Aguadé
Time period covered
Mar 18, 2015
Description

Drosophila subobscura presents a rich and complex chromosomal inversion polymorphism. It can thus be considered a model system i) to study the mechanisms originating inversions and how inversions affect the levels and patterns of variation in the inverted regions, and ii) to study adaptation at both the single-gene and chromosomal inversion levels. It is therefore important to infer its demographic history since previous information indicated that its nucleotide variation is not at mutation-drift equilibrium. For that purpose, we sequenced 16 non-coding regions distributed across those parts of the J chromosome not affected by inversions in the studied population and possibly either by other selective events. The pattern of variation detected in these 16 regions is similar to that previously reported within different chromosomal arrangements, suggesting that the latter results would, thus, mainly reflect recent demographic events rather than the partial selective sweep imposed by the or...

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