Whole-genome sequences of Malawi cichlids reveal multiple radiations interconnected by gene flow View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Milan Malinsky, Hannes Svardal, Alexandra M. Tyers, Eric A. Miska, Martin J. Genner, George F. Turner, Richard Durbin

ABSTRACT

The hundreds of cichlid fish species in Lake Malawi constitute the most extensive recent vertebrate adaptive radiation. Here we characterize its genomic diversity by sequencing 134 individuals covering 73 species across all major lineages. The average sequence divergence between species pairs is only 0.1-0.25%. These divergence values overlap diversity within species, with 82% of heterozygosity shared between species. Phylogenetic analyses suggest that diversification initially proceeded by serial branching from a generalist Astatotilapia-like ancestor. However, no single species tree adequately represents all species relationships, with evidence for substantial gene flow at multiple times. Common signatures of selection on visual and oxygen transport genes shared by distantly related deep-water species point to both adaptive introgression and independent selection. These findings enhance our understanding of genomic processes underlying rapid species diversification, and provide a platform for future genetic analysis of the Malawi radiation. More... »

PAGES

1940-1955

References to SciGraph publications

  • 2015-12. Patterns of natural selection acting on the mitochondrial genome of a locally adapted fish species in GENETICS SELECTION EVOLUTION
  • 2000-05. Gene Ontology: tool for the unification of biology in NATURE GENETICS
  • 2014-09. The genomic substrate for adaptive radiation in African cichlid fish in NATURE
  • 2012-07. Ecological opportunity and sexual selection together predict adaptive radiation in NATURE
  • 2018-05. ASTRAL-III: polynomial time species tree reconstruction from partially resolved gene trees in BMC BIOINFORMATICS
  • 2012-02. A linear complexity phasing method for thousands of genomes in NATURE METHODS
  • 2015-02. Orchestrating high-throughput genomic analysis with Bioconductor in NATURE METHODS
  • 2012-11. An integrated map of genetic variation from 1,092 human genomes in NATURE
  • 2012-04-04. The genomic basis of adaptive evolution in threespine sticklebacks in NATURE
  • 1990-10. Monophyletic origin of Lake Victoria cichlid fishes suggested by mitochondrial DNA sequences in NATURE
  • 2004-04. Adaptive evolution and explosive speciation: the cichlid fish model in NATURE REVIEWS GENETICS
  • 2012-07. Butterfly genome reveals promiscuous exchange of mimicry adaptations among species in NATURE
  • 2013-12. Looking for trees in the forest: summary tree from posterior samples in BMC EVOLUTIONARY BIOLOGY
  • 2009-02. Adaptation and diversification on islands in NATURE
  • 2005-09. Initial sequence of the chimpanzee genome and comparison with the human genome in NATURE
  • 2012-12. Complex patterns of divergence among green-sensitive (RH2a) African cichlid opsins revealed by Clade model analyses in BMC EVOLUTIONARY BIOLOGY
  • 2015-02. Evolution of Darwin’s finches and their beaks revealed by genome sequencing in NATURE
  • 2017-06. Genetic sex determination in Astatotilapia calliptera, a prototype species for the Lake Malawi cichlid radiation in THE SCIENCE OF NATURE
  • 2017-02-10. Ancient hybridization fuels rapid cichlid fish adaptive radiations in NATURE COMMUNICATIONS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41559-018-0717-x

    DOI

    http://dx.doi.org/10.1038/s41559-018-0717-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1110013381

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30455444


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Basel", 
              "id": "https://www.grid.ac/institutes/grid.6612.3", 
              "name": [
                "Wellcome Sanger Institute, Cambridge, UK", 
                "Zoological Institute, University of Basel, Basel, Switzerland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Malinsky", 
            "givenName": "Milan", 
            "id": "sg:person.01254234276.28", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254234276.28"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Naturalis Biodiversity Center", 
              "id": "https://www.grid.ac/institutes/grid.425948.6", 
              "name": [
                "Wellcome Sanger Institute, Cambridge, UK", 
                "Department of Genetics, University of Cambridge, Cambridge, UK", 
                "Department of Biology, University of Antwerp, Antwerp, Belgium", 
                "Naturalis Biodiversity Center, Leiden, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Svardal", 
            "givenName": "Hannes", 
            "id": "sg:person.01354161141.77", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354161141.77"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Max Planck Institute for Biology of Ageing", 
              "id": "https://www.grid.ac/institutes/grid.419502.b", 
              "name": [
                "School of Natural Sciences, Bangor University, Bangor, UK", 
                "Max Planck Institute for Biology of Ageing, Cologne, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tyers", 
            "givenName": "Alexandra M.", 
            "id": "sg:person.0610717707.09", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610717707.09"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wellcome / CRUK Gurdon Institute", 
              "id": "https://www.grid.ac/institutes/grid.450000.1", 
              "name": [
                "Wellcome Sanger Institute, Cambridge, UK", 
                "Department of Genetics, University of Cambridge, Cambridge, UK", 
                "Gurdon Institute, University of Cambridge, Cambridge, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Miska", 
            "givenName": "Eric A.", 
            "id": "sg:person.01343400113.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343400113.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Bristol", 
              "id": "https://www.grid.ac/institutes/grid.5337.2", 
              "name": [
                "School of Biological Sciences, University of Bristol, Bristol, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Genner", 
            "givenName": "Martin J.", 
            "id": "sg:person.01204444773.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204444773.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Bangor University", 
              "id": "https://www.grid.ac/institutes/grid.7362.0", 
              "name": [
                "School of Natural Sciences, Bangor University, Bangor, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Turner", 
            "givenName": "George F.", 
            "id": "sg:person.01326037632.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326037632.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Cambridge", 
              "id": "https://www.grid.ac/institutes/grid.5335.0", 
              "name": [
                "Wellcome Sanger Institute, Cambridge, UK", 
                "Department of Genetics, University of Cambridge, Cambridge, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Durbin", 
            "givenName": "Richard", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1371/journal.pgen.1002453", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000522512"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11632", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000661742", 
              "https://doi.org/10.1038/nature11632"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.0305-0270.2003.00986.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001720223"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.0305-0270.2003.00986.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001720223"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2012.05664.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002021548"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ympev.2015.10.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002057601"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cub.2006.06.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002071316"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/mec.12023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002080271"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature14181", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002284735", 
              "https://doi.org/10.1038/nature14181"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-294x.2003.02063.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002430701"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1188021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002597304"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1188021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002597304"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1785", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002640757", 
              "https://doi.org/10.1038/nmeth.1785"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/mss212", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002912184"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1558-5646.2008.00549.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003973108"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11041", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005384848", 
              "https://doi.org/10.1038/nature11041"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1095-8649.1993.tb00399.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006431085"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/347550a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006489627", 
              "https://doi.org/10.1038/347550a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0013984", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006850384"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11144", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006927674", 
              "https://doi.org/10.1038/nature11144"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/mss086", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008642837"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0074-7696(02)17015-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009191040"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/msr183", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010034699"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/sim.4780100317", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011887051"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/msu269", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012174465"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tig.2015.07.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013085677"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1611028113", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013693343"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev-genom-031714-125740", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014676849"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/msl014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015144484"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rspb.2015.0659", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015435356"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0405302102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015906755"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pcbi.1003537", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016366927"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/039396", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018069965"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/039396", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018069965"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2013.09.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018117937"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btr330", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018404011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.159426.113", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018546572"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/519795", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019061180"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13726", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019878292", 
              "https://doi.org/10.1038/nature13726"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2427.2012.02828.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020701760"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.6761107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020807644"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev-ecolsys-120213-091804", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020840516"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/mec.12939", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021458020"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jtbi.2016.11.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022674106"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jtbi.2015.03.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022738524"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btr509", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022904685"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pbio.1001388", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024101185"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.154831.113", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024949490"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature10944", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025285736", 
              "https://doi.org/10.1038/nature10944"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2148-13-221", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025870414", 
              "https://doi.org/10.1186/1471-2148-13-221"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aac9927", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026361253"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/321275", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026846351"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tig.2012.03.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026990944"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.279.5359.2115", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028009962"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/2041-210x.12035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028479925"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0104008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028695757"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.0020190", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029170965"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/mec.13767", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029436985"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0169-5347(93)90255-n", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029584203"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rsbl.2015.0232", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031318176"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/msr048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031623883"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/g3.112.003897", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031689201"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/g3.112.003897", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031689201"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.107524.110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032096953"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07893", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033340999", 
              "https://doi.org/10.1038/nature07893"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btl140", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033741877"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1200567109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034936727"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.96.9.5107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035898408"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btq033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036892131"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btq706", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038306452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0125043", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038355834"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1460-9568.2010.07574.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038446025"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btu462", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041365517"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0025-5564(81)90043-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041640515"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1002967", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042395285"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature04072", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042676864", 
              "https://doi.org/10.1038/nature04072"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature04072", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042676864", 
              "https://doi.org/10.1038/nature04072"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2012.05617.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043314754"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/msw046", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043817932"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/75556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044135237", 
              "https://doi.org/10.1038/75556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/75556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044135237", 
              "https://doi.org/10.1038/75556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1316", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045081610", 
              "https://doi.org/10.1038/nrg1316"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1316", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045081610", 
              "https://doi.org/10.1038/nrg1316"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btl446", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046470836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3252", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050075164", 
              "https://doi.org/10.1038/nmeth.3252"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12711-015-0138-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050985541", 
              "https://doi.org/10.1186/s12711-015-0138-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12711-015-0138-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050985541", 
              "https://doi.org/10.1186/s12711-015-0138-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cub.2010.11.029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051300346"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btg412", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051607942"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1512864112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051721884"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2148-12-206", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052372570", 
              "https://doi.org/10.1186/1471-2148-12-206"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ympev.2009.09.032", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052398986"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/521987", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052475645"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/dvg.22940", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052862681"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btu530", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053153257"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gde.2008.11.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053251320"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/10635150802429642", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058369815"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tcbb.2014.2361685", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061541345"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.277.5333.1808", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062558033"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aah4993", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062668421"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1446977", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069502611"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5962/bhl.part.20455", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1073566412"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1523/jneurosci.23-02-00470.2003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1075219762"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/oxfordjournals.aje.a115507", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1078620379"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/oxfordjournals.molbev.a040454", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1079752303"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms14363", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083739300", 
              "https://doi.org/10.1038/ncomms14363"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00114-017-1462-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085055278", 
              "https://doi.org/10.1007/s00114-017-1462-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00114-017-1462-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085055278", 
              "https://doi.org/10.1007/s00114-017-1462-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7554/elife.23907", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090397291"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/evl3.20", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091380254"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/sysbio/syy020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101490378"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12859-018-2129-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103875795", 
              "https://doi.org/10.1186/s12859-018-2129-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12859-018-2129-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103875795", 
              "https://doi.org/10.1186/s12859-018-2129-y"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-12", 
        "datePublishedReg": "2018-12-01", 
        "description": "The hundreds of cichlid fish species in Lake Malawi constitute the most extensive recent vertebrate adaptive radiation. Here we characterize its genomic diversity by sequencing 134 individuals covering 73 species across all major lineages. The average sequence divergence between species pairs is only 0.1-0.25%. These divergence values overlap diversity within species, with 82% of heterozygosity shared between species. Phylogenetic analyses suggest that diversification initially proceeded by serial branching from a generalist Astatotilapia-like ancestor. However, no single species tree adequately represents all species relationships, with evidence for substantial gene flow at multiple times. Common signatures of selection on visual and oxygen transport genes shared by distantly related deep-water species point to both adaptive introgression and independent selection. These findings enhance our understanding of genomic processes underlying rapid species diversification, and provide a platform for future genetic analysis of the Malawi radiation.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41559-018-0717-x", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3640527", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1284474", 
            "issn": [
              "2397-334X"
            ], 
            "name": "Nature Ecology & Evolution", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "12", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "2"
          }
        ], 
        "name": "Whole-genome sequences of Malawi cichlids reveal multiple radiations interconnected by gene flow", 
        "pagination": "1940-1955", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "d852c565a5e94a7d451cdbd7946986242711c5c2eb862ed661426b7d5d6dfa53"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30455444"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101698577"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41559-018-0717-x"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1110013381"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41559-018-0717-x", 
          "https://app.dimensions.ai/details/publication/pub.1110013381"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:48", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000371_0000000371/records_130792_00000006.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41559-018-0717-x"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41559-018-0717-x'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41559-018-0717-x'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41559-018-0717-x'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41559-018-0717-x'


     

    This table displays all metadata directly associated to this object as RDF triples.

    465 TRIPLES      21 PREDICATES      132 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41559-018-0717-x schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author Nc58b6245b33e4d4b91561f10e14f10f3
    4 schema:citation sg:pub.10.1007/s00114-017-1462-8
    5 sg:pub.10.1038/347550a0
    6 sg:pub.10.1038/75556
    7 sg:pub.10.1038/nature04072
    8 sg:pub.10.1038/nature07893
    9 sg:pub.10.1038/nature10944
    10 sg:pub.10.1038/nature11041
    11 sg:pub.10.1038/nature11144
    12 sg:pub.10.1038/nature11632
    13 sg:pub.10.1038/nature13726
    14 sg:pub.10.1038/nature14181
    15 sg:pub.10.1038/ncomms14363
    16 sg:pub.10.1038/nmeth.1785
    17 sg:pub.10.1038/nmeth.3252
    18 sg:pub.10.1038/nrg1316
    19 sg:pub.10.1186/1471-2148-12-206
    20 sg:pub.10.1186/1471-2148-13-221
    21 sg:pub.10.1186/s12711-015-0138-0
    22 sg:pub.10.1186/s12859-018-2129-y
    23 https://doi.org/10.1002/dvg.22940
    24 https://doi.org/10.1002/evl3.20
    25 https://doi.org/10.1002/sim.4780100317
    26 https://doi.org/10.1016/0025-5564(81)90043-2
    27 https://doi.org/10.1016/0169-5347(93)90255-n
    28 https://doi.org/10.1016/j.ajhg.2013.09.002
    29 https://doi.org/10.1016/j.cub.2006.06.016
    30 https://doi.org/10.1016/j.cub.2010.11.029
    31 https://doi.org/10.1016/j.gde.2008.11.001
    32 https://doi.org/10.1016/j.jtbi.2015.03.006
    33 https://doi.org/10.1016/j.jtbi.2016.11.005
    34 https://doi.org/10.1016/j.tig.2012.03.009
    35 https://doi.org/10.1016/j.tig.2015.07.002
    36 https://doi.org/10.1016/j.ympev.2009.09.032
    37 https://doi.org/10.1016/j.ympev.2015.10.027
    38 https://doi.org/10.1016/s0074-7696(02)17015-x
    39 https://doi.org/10.1046/j.0305-0270.2003.00986.x
    40 https://doi.org/10.1046/j.1365-294x.2003.02063.x
    41 https://doi.org/10.1073/pnas.0405302102
    42 https://doi.org/10.1073/pnas.1200567109
    43 https://doi.org/10.1073/pnas.1512864112
    44 https://doi.org/10.1073/pnas.1611028113
    45 https://doi.org/10.1073/pnas.96.9.5107
    46 https://doi.org/10.1080/10635150802429642
    47 https://doi.org/10.1086/321275
    48 https://doi.org/10.1086/519795
    49 https://doi.org/10.1086/521987
    50 https://doi.org/10.1093/bioinformatics/btg412
    51 https://doi.org/10.1093/bioinformatics/btl140
    52 https://doi.org/10.1093/bioinformatics/btl446
    53 https://doi.org/10.1093/bioinformatics/btq033
    54 https://doi.org/10.1093/bioinformatics/btq706
    55 https://doi.org/10.1093/bioinformatics/btr330
    56 https://doi.org/10.1093/bioinformatics/btr509
    57 https://doi.org/10.1093/bioinformatics/btu462
    58 https://doi.org/10.1093/bioinformatics/btu530
    59 https://doi.org/10.1093/molbev/msl014
    60 https://doi.org/10.1093/molbev/msr048
    61 https://doi.org/10.1093/molbev/msr183
    62 https://doi.org/10.1093/molbev/mss086
    63 https://doi.org/10.1093/molbev/mss212
    64 https://doi.org/10.1093/molbev/msu269
    65 https://doi.org/10.1093/molbev/msw046
    66 https://doi.org/10.1093/oxfordjournals.aje.a115507
    67 https://doi.org/10.1093/oxfordjournals.molbev.a040454
    68 https://doi.org/10.1093/sysbio/syy020
    69 https://doi.org/10.1098/rsbl.2015.0232
    70 https://doi.org/10.1098/rspb.2015.0659
    71 https://doi.org/10.1101/039396
    72 https://doi.org/10.1101/gr.107524.110
    73 https://doi.org/10.1101/gr.154831.113
    74 https://doi.org/10.1101/gr.159426.113
    75 https://doi.org/10.1101/gr.6761107
    76 https://doi.org/10.1109/tcbb.2014.2361685
    77 https://doi.org/10.1111/2041-210x.12035
    78 https://doi.org/10.1111/j.1095-8649.1993.tb00399.x
    79 https://doi.org/10.1111/j.1365-2427.2012.02828.x
    80 https://doi.org/10.1111/j.1365-294x.2012.05617.x
    81 https://doi.org/10.1111/j.1365-294x.2012.05664.x
    82 https://doi.org/10.1111/j.1460-9568.2010.07574.x
    83 https://doi.org/10.1111/j.1558-5646.2008.00549.x
    84 https://doi.org/10.1111/mec.12023
    85 https://doi.org/10.1111/mec.12939
    86 https://doi.org/10.1111/mec.13767
    87 https://doi.org/10.1126/science.1188021
    88 https://doi.org/10.1126/science.277.5333.1808
    89 https://doi.org/10.1126/science.279.5359.2115
    90 https://doi.org/10.1126/science.aac9927
    91 https://doi.org/10.1126/science.aah4993
    92 https://doi.org/10.1146/annurev-ecolsys-120213-091804
    93 https://doi.org/10.1146/annurev-genom-031714-125740
    94 https://doi.org/10.1371/journal.pbio.1001388
    95 https://doi.org/10.1371/journal.pcbi.1003537
    96 https://doi.org/10.1371/journal.pgen.0020190
    97 https://doi.org/10.1371/journal.pgen.1002453
    98 https://doi.org/10.1371/journal.pgen.1002967
    99 https://doi.org/10.1371/journal.pone.0013984
    100 https://doi.org/10.1371/journal.pone.0104008
    101 https://doi.org/10.1371/journal.pone.0125043
    102 https://doi.org/10.1523/jneurosci.23-02-00470.2003
    103 https://doi.org/10.1534/g3.112.003897
    104 https://doi.org/10.2307/1446977
    105 https://doi.org/10.5962/bhl.part.20455
    106 https://doi.org/10.7554/elife.23907
    107 schema:datePublished 2018-12
    108 schema:datePublishedReg 2018-12-01
    109 schema:description The hundreds of cichlid fish species in Lake Malawi constitute the most extensive recent vertebrate adaptive radiation. Here we characterize its genomic diversity by sequencing 134 individuals covering 73 species across all major lineages. The average sequence divergence between species pairs is only 0.1-0.25%. These divergence values overlap diversity within species, with 82% of heterozygosity shared between species. Phylogenetic analyses suggest that diversification initially proceeded by serial branching from a generalist Astatotilapia-like ancestor. However, no single species tree adequately represents all species relationships, with evidence for substantial gene flow at multiple times. Common signatures of selection on visual and oxygen transport genes shared by distantly related deep-water species point to both adaptive introgression and independent selection. These findings enhance our understanding of genomic processes underlying rapid species diversification, and provide a platform for future genetic analysis of the Malawi radiation.
    110 schema:genre research_article
    111 schema:inLanguage en
    112 schema:isAccessibleForFree true
    113 schema:isPartOf N25016ddb20eb4a27b9e2eb49fd6a4370
    114 N509d8a21cfc3464598adfce04941f049
    115 sg:journal.1284474
    116 schema:name Whole-genome sequences of Malawi cichlids reveal multiple radiations interconnected by gene flow
    117 schema:pagination 1940-1955
    118 schema:productId N210200dda639476daffdd89c90429da3
    119 N7d0c9a174bd54f578dbe3477fc406739
    120 N9912fd90935b4b338ade7f8a59b252c0
    121 Na7dc5caf879540a7b34f6fdcdf51265c
    122 Nfa1897c76da442b0a3dff75583f52c4b
    123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110013381
    124 https://doi.org/10.1038/s41559-018-0717-x
    125 schema:sdDatePublished 2019-04-11T13:48
    126 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    127 schema:sdPublisher N41e414a606fd4625a4c8d1bff8b0a8b0
    128 schema:url https://www.nature.com/articles/s41559-018-0717-x
    129 sgo:license sg:explorer/license/
    130 sgo:sdDataset articles
    131 rdf:type schema:ScholarlyArticle
    132 N182f5475356549a5bbc7d8ce67338db1 rdf:first Nb897856a19d24c2e81dd4e27aa36cfe5
    133 rdf:rest rdf:nil
    134 N210200dda639476daffdd89c90429da3 schema:name nlm_unique_id
    135 schema:value 101698577
    136 rdf:type schema:PropertyValue
    137 N25016ddb20eb4a27b9e2eb49fd6a4370 schema:volumeNumber 2
    138 rdf:type schema:PublicationVolume
    139 N41e414a606fd4625a4c8d1bff8b0a8b0 schema:name Springer Nature - SN SciGraph project
    140 rdf:type schema:Organization
    141 N474bcc7b97a9467ca4987c3572a391a6 rdf:first sg:person.01354161141.77
    142 rdf:rest N690d4db2c8354da084892c16ca4b8df9
    143 N4fa5098fb8f347a3b14638a57dafd472 rdf:first sg:person.01326037632.20
    144 rdf:rest N182f5475356549a5bbc7d8ce67338db1
    145 N509d8a21cfc3464598adfce04941f049 schema:issueNumber 12
    146 rdf:type schema:PublicationIssue
    147 N54c1961acc9e46e2aeeeb076c97cff26 rdf:first sg:person.01343400113.94
    148 rdf:rest N57ba11bd0d274313845dfda183e0ce4b
    149 N57ba11bd0d274313845dfda183e0ce4b rdf:first sg:person.01204444773.46
    150 rdf:rest N4fa5098fb8f347a3b14638a57dafd472
    151 N690d4db2c8354da084892c16ca4b8df9 rdf:first sg:person.0610717707.09
    152 rdf:rest N54c1961acc9e46e2aeeeb076c97cff26
    153 N7d0c9a174bd54f578dbe3477fc406739 schema:name pubmed_id
    154 schema:value 30455444
    155 rdf:type schema:PropertyValue
    156 N9912fd90935b4b338ade7f8a59b252c0 schema:name doi
    157 schema:value 10.1038/s41559-018-0717-x
    158 rdf:type schema:PropertyValue
    159 Na7dc5caf879540a7b34f6fdcdf51265c schema:name dimensions_id
    160 schema:value pub.1110013381
    161 rdf:type schema:PropertyValue
    162 Nb897856a19d24c2e81dd4e27aa36cfe5 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
    163 schema:familyName Durbin
    164 schema:givenName Richard
    165 rdf:type schema:Person
    166 Nc58b6245b33e4d4b91561f10e14f10f3 rdf:first sg:person.01254234276.28
    167 rdf:rest N474bcc7b97a9467ca4987c3572a391a6
    168 Nfa1897c76da442b0a3dff75583f52c4b schema:name readcube_id
    169 schema:value d852c565a5e94a7d451cdbd7946986242711c5c2eb862ed661426b7d5d6dfa53
    170 rdf:type schema:PropertyValue
    171 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    172 schema:name Biological Sciences
    173 rdf:type schema:DefinedTerm
    174 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    175 schema:name Genetics
    176 rdf:type schema:DefinedTerm
    177 sg:grant.3640527 http://pending.schema.org/fundedItem sg:pub.10.1038/s41559-018-0717-x
    178 rdf:type schema:MonetaryGrant
    179 sg:journal.1284474 schema:issn 2397-334X
    180 schema:name Nature Ecology & Evolution
    181 rdf:type schema:Periodical
    182 sg:person.01204444773.46 schema:affiliation https://www.grid.ac/institutes/grid.5337.2
    183 schema:familyName Genner
    184 schema:givenName Martin J.
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204444773.46
    186 rdf:type schema:Person
    187 sg:person.01254234276.28 schema:affiliation https://www.grid.ac/institutes/grid.6612.3
    188 schema:familyName Malinsky
    189 schema:givenName Milan
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254234276.28
    191 rdf:type schema:Person
    192 sg:person.01326037632.20 schema:affiliation https://www.grid.ac/institutes/grid.7362.0
    193 schema:familyName Turner
    194 schema:givenName George F.
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326037632.20
    196 rdf:type schema:Person
    197 sg:person.01343400113.94 schema:affiliation https://www.grid.ac/institutes/grid.450000.1
    198 schema:familyName Miska
    199 schema:givenName Eric A.
    200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343400113.94
    201 rdf:type schema:Person
    202 sg:person.01354161141.77 schema:affiliation https://www.grid.ac/institutes/grid.425948.6
    203 schema:familyName Svardal
    204 schema:givenName Hannes
    205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354161141.77
    206 rdf:type schema:Person
    207 sg:person.0610717707.09 schema:affiliation https://www.grid.ac/institutes/grid.419502.b
    208 schema:familyName Tyers
    209 schema:givenName Alexandra M.
    210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610717707.09
    211 rdf:type schema:Person
    212 sg:pub.10.1007/s00114-017-1462-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085055278
    213 https://doi.org/10.1007/s00114-017-1462-8
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1038/347550a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006489627
    216 https://doi.org/10.1038/347550a0
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1038/75556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044135237
    219 https://doi.org/10.1038/75556
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1038/nature04072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042676864
    222 https://doi.org/10.1038/nature04072
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1038/nature07893 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033340999
    225 https://doi.org/10.1038/nature07893
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1038/nature10944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025285736
    228 https://doi.org/10.1038/nature10944
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1038/nature11041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005384848
    231 https://doi.org/10.1038/nature11041
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1038/nature11144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006927674
    234 https://doi.org/10.1038/nature11144
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1038/nature11632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000661742
    237 https://doi.org/10.1038/nature11632
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1038/nature13726 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019878292
    240 https://doi.org/10.1038/nature13726
    241 rdf:type schema:CreativeWork
    242 sg:pub.10.1038/nature14181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002284735
    243 https://doi.org/10.1038/nature14181
    244 rdf:type schema:CreativeWork
    245 sg:pub.10.1038/ncomms14363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083739300
    246 https://doi.org/10.1038/ncomms14363
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1038/nmeth.1785 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002640757
    249 https://doi.org/10.1038/nmeth.1785
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1038/nmeth.3252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050075164
    252 https://doi.org/10.1038/nmeth.3252
    253 rdf:type schema:CreativeWork
    254 sg:pub.10.1038/nrg1316 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045081610
    255 https://doi.org/10.1038/nrg1316
    256 rdf:type schema:CreativeWork
    257 sg:pub.10.1186/1471-2148-12-206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052372570
    258 https://doi.org/10.1186/1471-2148-12-206
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1186/1471-2148-13-221 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025870414
    261 https://doi.org/10.1186/1471-2148-13-221
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1186/s12711-015-0138-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050985541
    264 https://doi.org/10.1186/s12711-015-0138-0
    265 rdf:type schema:CreativeWork
    266 sg:pub.10.1186/s12859-018-2129-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1103875795
    267 https://doi.org/10.1186/s12859-018-2129-y
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1002/dvg.22940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052862681
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1002/evl3.20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091380254
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1002/sim.4780100317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011887051
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1016/0025-5564(81)90043-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041640515
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1016/0169-5347(93)90255-n schema:sameAs https://app.dimensions.ai/details/publication/pub.1029584203
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1016/j.ajhg.2013.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018117937
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1016/j.cub.2006.06.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002071316
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1016/j.cub.2010.11.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051300346
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1016/j.gde.2008.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053251320
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1016/j.jtbi.2015.03.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022738524
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1016/j.jtbi.2016.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022674106
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1016/j.tig.2012.03.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026990944
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1016/j.tig.2015.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013085677
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1016/j.ympev.2009.09.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052398986
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1016/j.ympev.2015.10.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002057601
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1016/s0074-7696(02)17015-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009191040
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1046/j.0305-0270.2003.00986.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001720223
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1046/j.1365-294x.2003.02063.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002430701
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1073/pnas.0405302102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015906755
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1073/pnas.1200567109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034936727
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1073/pnas.1512864112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051721884
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1073/pnas.1611028113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013693343
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1073/pnas.96.9.5107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035898408
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1080/10635150802429642 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058369815
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1086/321275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026846351
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1086/519795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019061180
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1086/521987 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052475645
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1093/bioinformatics/btg412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051607942
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1093/bioinformatics/btl140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033741877
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1093/bioinformatics/btl446 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046470836
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1093/bioinformatics/btq033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036892131
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1093/bioinformatics/btq706 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038306452
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1093/bioinformatics/btr330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018404011
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1093/bioinformatics/btr509 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022904685
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1093/bioinformatics/btu462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041365517
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1093/bioinformatics/btu530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053153257
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1093/molbev/msl014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015144484
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1093/molbev/msr048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031623883
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1093/molbev/msr183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010034699
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1093/molbev/mss086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008642837
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1093/molbev/mss212 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002912184
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1093/molbev/msu269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012174465
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1093/molbev/msw046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043817932
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1093/oxfordjournals.aje.a115507 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078620379
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1093/oxfordjournals.molbev.a040454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079752303
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1093/sysbio/syy020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101490378
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1098/rsbl.2015.0232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031318176
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1098/rspb.2015.0659 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015435356
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1101/039396 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018069965
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.1101/gr.107524.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032096953
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.1101/gr.154831.113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024949490
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.1101/gr.159426.113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018546572
    372 rdf:type schema:CreativeWork
    373 https://doi.org/10.1101/gr.6761107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020807644
    374 rdf:type schema:CreativeWork
    375 https://doi.org/10.1109/tcbb.2014.2361685 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061541345
    376 rdf:type schema:CreativeWork
    377 https://doi.org/10.1111/2041-210x.12035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028479925
    378 rdf:type schema:CreativeWork
    379 https://doi.org/10.1111/j.1095-8649.1993.tb00399.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006431085
    380 rdf:type schema:CreativeWork
    381 https://doi.org/10.1111/j.1365-2427.2012.02828.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020701760
    382 rdf:type schema:CreativeWork
    383 https://doi.org/10.1111/j.1365-294x.2012.05617.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043314754
    384 rdf:type schema:CreativeWork
    385 https://doi.org/10.1111/j.1365-294x.2012.05664.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002021548
    386 rdf:type schema:CreativeWork
    387 https://doi.org/10.1111/j.1460-9568.2010.07574.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1038446025
    388 rdf:type schema:CreativeWork
    389 https://doi.org/10.1111/j.1558-5646.2008.00549.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003973108
    390 rdf:type schema:CreativeWork
    391 https://doi.org/10.1111/mec.12023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002080271
    392 rdf:type schema:CreativeWork
    393 https://doi.org/10.1111/mec.12939 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021458020
    394 rdf:type schema:CreativeWork
    395 https://doi.org/10.1111/mec.13767 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029436985
    396 rdf:type schema:CreativeWork
    397 https://doi.org/10.1126/science.1188021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002597304
    398 rdf:type schema:CreativeWork
    399 https://doi.org/10.1126/science.277.5333.1808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062558033
    400 rdf:type schema:CreativeWork
    401 https://doi.org/10.1126/science.279.5359.2115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028009962
    402 rdf:type schema:CreativeWork
    403 https://doi.org/10.1126/science.aac9927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026361253
    404 rdf:type schema:CreativeWork
    405 https://doi.org/10.1126/science.aah4993 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062668421
    406 rdf:type schema:CreativeWork
    407 https://doi.org/10.1146/annurev-ecolsys-120213-091804 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020840516
    408 rdf:type schema:CreativeWork
    409 https://doi.org/10.1146/annurev-genom-031714-125740 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014676849
    410 rdf:type schema:CreativeWork
    411 https://doi.org/10.1371/journal.pbio.1001388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024101185
    412 rdf:type schema:CreativeWork
    413 https://doi.org/10.1371/journal.pcbi.1003537 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016366927
    414 rdf:type schema:CreativeWork
    415 https://doi.org/10.1371/journal.pgen.0020190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029170965
    416 rdf:type schema:CreativeWork
    417 https://doi.org/10.1371/journal.pgen.1002453 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000522512
    418 rdf:type schema:CreativeWork
    419 https://doi.org/10.1371/journal.pgen.1002967 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042395285
    420 rdf:type schema:CreativeWork
    421 https://doi.org/10.1371/journal.pone.0013984 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006850384
    422 rdf:type schema:CreativeWork
    423 https://doi.org/10.1371/journal.pone.0104008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028695757
    424 rdf:type schema:CreativeWork
    425 https://doi.org/10.1371/journal.pone.0125043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038355834
    426 rdf:type schema:CreativeWork
    427 https://doi.org/10.1523/jneurosci.23-02-00470.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075219762
    428 rdf:type schema:CreativeWork
    429 https://doi.org/10.1534/g3.112.003897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031689201
    430 rdf:type schema:CreativeWork
    431 https://doi.org/10.2307/1446977 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069502611
    432 rdf:type schema:CreativeWork
    433 https://doi.org/10.5962/bhl.part.20455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073566412
    434 rdf:type schema:CreativeWork
    435 https://doi.org/10.7554/elife.23907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090397291
    436 rdf:type schema:CreativeWork
    437 https://www.grid.ac/institutes/grid.419502.b schema:alternateName Max Planck Institute for Biology of Ageing
    438 schema:name Max Planck Institute for Biology of Ageing, Cologne, Germany
    439 School of Natural Sciences, Bangor University, Bangor, UK
    440 rdf:type schema:Organization
    441 https://www.grid.ac/institutes/grid.425948.6 schema:alternateName Naturalis Biodiversity Center
    442 schema:name Department of Biology, University of Antwerp, Antwerp, Belgium
    443 Department of Genetics, University of Cambridge, Cambridge, UK
    444 Naturalis Biodiversity Center, Leiden, The Netherlands
    445 Wellcome Sanger Institute, Cambridge, UK
    446 rdf:type schema:Organization
    447 https://www.grid.ac/institutes/grid.450000.1 schema:alternateName Wellcome / CRUK Gurdon Institute
    448 schema:name Department of Genetics, University of Cambridge, Cambridge, UK
    449 Gurdon Institute, University of Cambridge, Cambridge, UK
    450 Wellcome Sanger Institute, Cambridge, UK
    451 rdf:type schema:Organization
    452 https://www.grid.ac/institutes/grid.5335.0 schema:alternateName University of Cambridge
    453 schema:name Department of Genetics, University of Cambridge, Cambridge, UK
    454 Wellcome Sanger Institute, Cambridge, UK
    455 rdf:type schema:Organization
    456 https://www.grid.ac/institutes/grid.5337.2 schema:alternateName University of Bristol
    457 schema:name School of Biological Sciences, University of Bristol, Bristol, UK
    458 rdf:type schema:Organization
    459 https://www.grid.ac/institutes/grid.6612.3 schema:alternateName University of Basel
    460 schema:name Wellcome Sanger Institute, Cambridge, UK
    461 Zoological Institute, University of Basel, Basel, Switzerland
    462 rdf:type schema:Organization
    463 https://www.grid.ac/institutes/grid.7362.0 schema:alternateName Bangor University
    464 schema:name School of Natural Sciences, Bangor University, Bangor, UK
    465 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...