A multi-parent recombinant inbred line population of C. elegans allows identification of novel QTLs for complex life history traits View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Basten L. Snoek, Rita J. M. Volkers, Harm Nijveen, Carola Petersen, Philipp Dirksen, Mark G. Sterken, Rania Nakad, Joost A. G. Riksen, Philip Rosenstiel, Jana J. Stastna, Bart P. Braeckman, Simon C. Harvey, Hinrich Schulenburg, Jan E. Kammenga

ABSTRACT

BACKGROUND: The nematode Caenorhabditis elegans has been extensively used to explore the relationships between complex traits, genotypes, and environments. Complex traits can vary across different genotypes of a species, and the genetic regulators of trait variation can be mapped on the genome using quantitative trait locus (QTL) analysis of recombinant inbred lines (RILs) derived from genetically and phenotypically divergent parents. Most RILs have been derived from crossing two parents from globally distant locations. However, the genetic diversity between local C. elegans populations can be as diverse as between global populations and could thus provide means of identifying genetic variation associated with complex traits relevant on a broader scale. RESULTS: To investigate the effect of local genetic variation on heritable traits, we developed a new RIL population derived from 4 parental wild isolates collected from 2 closely located sites in France: Orsay and Santeuil. We crossed these 4 genetically diverse parental isolates to generate a population of 200 multi-parental RILs and used RNA-seq to obtain sequence polymorphisms identifying almost 9000 SNPs variable between the 4 genotypes with an average spacing of 11 kb, doubling the mapping resolution relative to currently available RIL panels for many loci. The SNPs were used to construct a genetic map to facilitate QTL analysis. We measured life history traits such as lifespan, stress resistance, developmental speed, and population growth in different environments, and found substantial variation for most traits. We detected multiple QTLs for most traits, including novel QTLs not found in previous QTL analysis, including those for lifespan and pathogen responses. This shows that recombining genetic variation across C. elegans populations that are in geographical close proximity provides ample variation for QTL mapping. CONCLUSION: Taken together, we show that using more parents than the classical two parental genotypes to construct a RIL population facilitates the detection of QTLs and that the use of wild isolates facilitates the detection of QTLs. The use of multi-parent RIL populations can further enhance our understanding of local adaptation and life history trade-offs. More... »

PAGES

24

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12915-019-0642-8

DOI

http://dx.doi.org/10.1186/s12915-019-0642-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112739102

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30866929


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": "Utrecht University", 
          "id": "https://www.grid.ac/institutes/grid.5477.1", 
          "name": [
            "Laboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands", 
            "Theoretical Biology and Bioinformatics, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Snoek", 
        "givenName": "Basten L.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Laboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Volkers", 
        "givenName": "Rita J. M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Bioinformatics Group, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nijveen", 
        "givenName": "Harm", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kiel University", 
          "id": "https://www.grid.ac/institutes/grid.9764.c", 
          "name": [
            "Zoological Institute, University of Kiel, 24098, Kiel, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Petersen", 
        "givenName": "Carola", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kiel University", 
          "id": "https://www.grid.ac/institutes/grid.9764.c", 
          "name": [
            "Zoological Institute, University of Kiel, 24098, Kiel, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dirksen", 
        "givenName": "Philipp", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Laboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sterken", 
        "givenName": "Mark G.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kiel University", 
          "id": "https://www.grid.ac/institutes/grid.9764.c", 
          "name": [
            "Zoological Institute, University of Kiel, 24098, Kiel, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakad", 
        "givenName": "Rania", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Laboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Riksen", 
        "givenName": "Joost A. G.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kiel University", 
          "id": "https://www.grid.ac/institutes/grid.9764.c", 
          "name": [
            "Institute for Clinical Molecular Biology, University of Kiel, 24098, Kiel, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rosenstiel", 
        "givenName": "Philip", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Canterbury Christ Church University", 
          "id": "https://www.grid.ac/institutes/grid.127050.1", 
          "name": [
            "Biomolecular Research Group, School of Human and Life Sciences, Canterbury Christ Church University, North Holmes Road, CT1 1QU, Canterbury, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stastna", 
        "givenName": "Jana J.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ghent University", 
          "id": "https://www.grid.ac/institutes/grid.5342.0", 
          "name": [
            "Department of Biology, Ghent University, K. L. Ledeganckstraat 35, B-9000, Ghent, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Braeckman", 
        "givenName": "Bart P.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Canterbury Christ Church University", 
          "id": "https://www.grid.ac/institutes/grid.127050.1", 
          "name": [
            "Biomolecular Research Group, School of Human and Life Sciences, Canterbury Christ Church University, North Holmes Road, CT1 1QU, Canterbury, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Harvey", 
        "givenName": "Simon C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max Planck Institute for Evolutionary Biology", 
          "id": "https://www.grid.ac/institutes/grid.419520.b", 
          "name": [
            "Zoological Institute, University of Kiel, 24098, Kiel, Germany", 
            "Max Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, 24306, Pl\u00f6n, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schulenburg", 
        "givenName": "Hinrich", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Laboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kammenga", 
        "givenName": "Jan E.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1017/s0016672310000601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000110453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.102160.109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003872481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2015.09.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004081174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2015.09.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004081174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1004156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004287611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.134031.111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005761097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/g3.115.017178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007437655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/g3.115.017178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007437655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09821", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008309034", 
          "https://doi.org/10.1038/nature09821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.2013.50", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009883436", 
          "https://doi.org/10.1038/hdy.2013.50"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12915-016-0258-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010060690", 
          "https://doi.org/10.1186/s12915-016-0258-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.1050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010262159", 
          "https://doi.org/10.1038/ng.1050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.1001230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010449916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.110.119677", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012179911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.110.119677", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012179911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.106.067223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012195842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.106.067223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012195842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012425816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015553927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7554/elife.00994", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017055548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1741-7007-11-93", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018004675", 
          "https://doi.org/10.1186/1741-7007-11-93"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12859-016-0956-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018816738", 
          "https://doi.org/10.1186/s12859-016-0956-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.115.175950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018963000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.115.175950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018963000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.0030034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019657678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkp528", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019740089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep03912", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020367630", 
          "https://doi.org/10.1038/srep03912"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.0020222", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020448410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msh264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021708745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep17303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022544322", 
          "https://doi.org/10.1038/srep17303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023014918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msg072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024165525"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7554/elife.21454", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024415250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1006219", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024672112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.1001115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026901091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2009.02.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027721144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep04926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028252682", 
          "https://doi.org/10.1038/srep04926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep16259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029097599", 
          "https://doi.org/10.1038/srep16259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature10378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030882213", 
          "https://doi.org/10.1038/nature10378"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.112.142877", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031608361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.112.142877", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031608361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-12-510", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032596842", 
          "https://doi.org/10.1186/1471-2164-12-510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1214318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034903351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2612", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035008603", 
          "https://doi.org/10.1038/nrg2612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2612", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035008603", 
          "https://doi.org/10.1038/nrg2612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.exger.2006.06.047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037064804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2005.06.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037189872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ece3.1605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038791297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.exger.2012.05.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039501266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1089370", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039610056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature07633", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040163049", 
          "https://doi.org/10.1038/nature07633"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6800929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040264627", 
          "https://doi.org/10.1038/sj.hdy.6800929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6800929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040264627", 
          "https://doi.org/10.1038/sj.hdy.6800929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0035811", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041192930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tig.2015.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042631775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1607183113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042890615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1005236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043080942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1474-9726.2009.00533.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044707742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1474-9726.2009.00533.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044707742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.2007.00118.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044989996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1194208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045231488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0149418", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045369165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0149418", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045369165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12864-016-2603-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047102486", 
          "https://doi.org/10.1186/s12864-016-2603-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0085024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047209905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tig.2014.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047450192"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/g3.114.013151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047922258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/g3.114.013151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047922258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7554/elife.05849", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048681045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1003157", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048938597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.116.191148", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049832105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.116.191148", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049832105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051775267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.2975", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051988047", 
          "https://doi.org/10.1038/nn.2975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2148-8-15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052369487", 
          "https://doi.org/10.1186/1471-2148-8-15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1151107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062457177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1166527", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062459094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.116.195511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085335150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.116.195511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085335150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.116.195511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085335150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.115.186288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085921861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.115.186288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085921861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.115.186288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085921861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.117.203265", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085921875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.117.203265", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085921875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.117.203265", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085921875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12864-017-3899-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090298381", 
          "https://doi.org/10.1186/s12864-017-3899-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12864-017-3899-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090298381", 
          "https://doi.org/10.1186/s12864-017-3899-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/g3.117.1120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090917814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/g3.117.1120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090917814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-017-00386-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091119424", 
          "https://doi.org/10.1038/s41467-017-00386-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.117.300406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092358472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1007046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092509061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fgene.2017.00201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093167506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0189445", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099647504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.117.300564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099667088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.117.300564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099667088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ece3.4128", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103851399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2018.05.091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105967075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.232322.117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106149860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.118.301311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107731705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.118.301311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107731705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.118.301311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107731705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.118.301311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107731705"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: The nematode Caenorhabditis elegans has been extensively used to explore the relationships between complex traits, genotypes, and environments. Complex traits can vary across different genotypes of a species, and the genetic regulators of trait variation can be mapped on the genome using quantitative trait locus (QTL) analysis of recombinant inbred lines (RILs) derived from genetically and phenotypically divergent parents. Most RILs have been derived from crossing two parents from globally distant locations. However, the genetic diversity between local C. elegans populations can be as diverse as between global populations and could thus provide means of identifying genetic variation associated with complex traits relevant on a broader scale.\nRESULTS: To investigate the effect of local genetic variation on heritable traits, we developed a new RIL population derived from 4 parental wild isolates collected from 2 closely located sites in France: Orsay and Santeuil. We crossed these 4 genetically diverse parental isolates to generate a population of 200 multi-parental RILs and used RNA-seq to obtain sequence polymorphisms identifying almost 9000 SNPs variable between the 4 genotypes with an average spacing of 11\u00a0kb, doubling the mapping resolution relative to currently available RIL panels for many loci. The SNPs were used to construct a genetic map to facilitate QTL analysis. We measured life history traits such as lifespan, stress resistance, developmental speed, and population growth in different environments, and found substantial variation for most traits. We detected multiple QTLs for most traits, including novel QTLs not found in previous QTL analysis, including those for lifespan and pathogen responses. This shows that recombining genetic variation across C. elegans populations that are in geographical close proximity provides ample variation for QTL mapping.\nCONCLUSION: Taken together, we show that using more parents than the classical two parental genotypes to construct a RIL population facilitates the detection of QTLs and that the use of wild isolates facilitates the detection of QTLs. The use of multi-parent RIL populations can further enhance our understanding of local adaptation and life history trade-offs.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12915-019-0642-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4138928", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1032884", 
        "issn": [
          "1478-5854", 
          "1741-7007"
        ], 
        "name": "BMC Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "A multi-parent recombinant inbred line population of C. elegans allows identification of novel QTLs for complex life history traits", 
    "pagination": "24", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "055b9b910a417a215b391aabe8c6e25d1eaa0176969b28af8ca6716d10068363"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30866929"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101190720"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12915-019-0642-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112739102"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12915-019-0642-8", 
      "https://app.dimensions.ai/details/publication/pub.1112739102"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:19", 
    "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/v90/0000000368_0000000368/records_78950_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12915-019-0642-8"
  }
]
 

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.10.1186/s12915-019-0642-8'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12915-019-0642-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12915-019-0642-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12915-019-0642-8'


 

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

427 TRIPLES      21 PREDICATES      109 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12915-019-0642-8 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author Nf9547e9c23cd4671ab1feca041ed4b54
4 schema:citation sg:pub.10.1038/hdy.2013.50
5 sg:pub.10.1038/nature07633
6 sg:pub.10.1038/nature09821
7 sg:pub.10.1038/nature10378
8 sg:pub.10.1038/ng.1050
9 sg:pub.10.1038/nn.2975
10 sg:pub.10.1038/nrg2612
11 sg:pub.10.1038/s41467-017-00386-x
12 sg:pub.10.1038/sj.hdy.6800929
13 sg:pub.10.1038/srep03912
14 sg:pub.10.1038/srep04926
15 sg:pub.10.1038/srep16259
16 sg:pub.10.1038/srep17303
17 sg:pub.10.1186/1471-2148-8-15
18 sg:pub.10.1186/1471-2164-12-510
19 sg:pub.10.1186/1741-7007-11-93
20 sg:pub.10.1186/s12859-016-0956-2
21 sg:pub.10.1186/s12864-016-2603-8
22 sg:pub.10.1186/s12864-017-3899-8
23 sg:pub.10.1186/s12915-016-0258-1
24 https://doi.org/10.1002/ece3.1605
25 https://doi.org/10.1002/ece3.4128
26 https://doi.org/10.1016/j.cub.2005.06.022
27 https://doi.org/10.1016/j.cub.2015.09.019
28 https://doi.org/10.1016/j.cub.2018.05.091
29 https://doi.org/10.1016/j.exger.2006.06.047
30 https://doi.org/10.1016/j.exger.2012.05.005
31 https://doi.org/10.1016/j.neuron.2009.02.012
32 https://doi.org/10.1016/j.tig.2014.12.001
33 https://doi.org/10.1016/j.tig.2015.02.009
34 https://doi.org/10.1017/s0016672310000601
35 https://doi.org/10.1073/pnas.1607183113
36 https://doi.org/10.1093/bioinformatics/btp120
37 https://doi.org/10.1093/bioinformatics/btp352
38 https://doi.org/10.1093/molbev/msg072
39 https://doi.org/10.1093/molbev/msh264
40 https://doi.org/10.1093/nar/gkp528
41 https://doi.org/10.1101/gr.102160.109
42 https://doi.org/10.1101/gr.134031.111
43 https://doi.org/10.1101/gr.232322.117
44 https://doi.org/10.1111/j.1474-9726.2009.00533.x
45 https://doi.org/10.1111/j.1558-5646.2007.00118.x
46 https://doi.org/10.1126/science.1089370
47 https://doi.org/10.1126/science.1151107
48 https://doi.org/10.1126/science.1166527
49 https://doi.org/10.1126/science.1194208
50 https://doi.org/10.1126/science.1214318
51 https://doi.org/10.1371/journal.pbio.1001115
52 https://doi.org/10.1371/journal.pbio.1001230
53 https://doi.org/10.1371/journal.pgen.0020222
54 https://doi.org/10.1371/journal.pgen.0030034
55 https://doi.org/10.1371/journal.pgen.1000419
56 https://doi.org/10.1371/journal.pgen.1000551
57 https://doi.org/10.1371/journal.pgen.1003157
58 https://doi.org/10.1371/journal.pgen.1004156
59 https://doi.org/10.1371/journal.pgen.1005236
60 https://doi.org/10.1371/journal.pgen.1006219
61 https://doi.org/10.1371/journal.pgen.1007046
62 https://doi.org/10.1371/journal.pone.0035811
63 https://doi.org/10.1371/journal.pone.0085024
64 https://doi.org/10.1371/journal.pone.0149418
65 https://doi.org/10.1371/journal.pone.0189445
66 https://doi.org/10.1534/g3.114.013151
67 https://doi.org/10.1534/g3.115.017178
68 https://doi.org/10.1534/g3.117.1120
69 https://doi.org/10.1534/genetics.106.067223
70 https://doi.org/10.1534/genetics.110.119677
71 https://doi.org/10.1534/genetics.112.142877
72 https://doi.org/10.1534/genetics.115.175950
73 https://doi.org/10.1534/genetics.115.186288
74 https://doi.org/10.1534/genetics.116.191148
75 https://doi.org/10.1534/genetics.116.195511
76 https://doi.org/10.1534/genetics.117.203265
77 https://doi.org/10.1534/genetics.117.300406
78 https://doi.org/10.1534/genetics.117.300564
79 https://doi.org/10.1534/genetics.118.301311
80 https://doi.org/10.3389/fgene.2017.00201
81 https://doi.org/10.7554/elife.00994
82 https://doi.org/10.7554/elife.05849
83 https://doi.org/10.7554/elife.21454
84 schema:datePublished 2019-12
85 schema:datePublishedReg 2019-12-01
86 schema:description BACKGROUND: The nematode Caenorhabditis elegans has been extensively used to explore the relationships between complex traits, genotypes, and environments. Complex traits can vary across different genotypes of a species, and the genetic regulators of trait variation can be mapped on the genome using quantitative trait locus (QTL) analysis of recombinant inbred lines (RILs) derived from genetically and phenotypically divergent parents. Most RILs have been derived from crossing two parents from globally distant locations. However, the genetic diversity between local C. elegans populations can be as diverse as between global populations and could thus provide means of identifying genetic variation associated with complex traits relevant on a broader scale. RESULTS: To investigate the effect of local genetic variation on heritable traits, we developed a new RIL population derived from 4 parental wild isolates collected from 2 closely located sites in France: Orsay and Santeuil. We crossed these 4 genetically diverse parental isolates to generate a population of 200 multi-parental RILs and used RNA-seq to obtain sequence polymorphisms identifying almost 9000 SNPs variable between the 4 genotypes with an average spacing of 11 kb, doubling the mapping resolution relative to currently available RIL panels for many loci. The SNPs were used to construct a genetic map to facilitate QTL analysis. We measured life history traits such as lifespan, stress resistance, developmental speed, and population growth in different environments, and found substantial variation for most traits. We detected multiple QTLs for most traits, including novel QTLs not found in previous QTL analysis, including those for lifespan and pathogen responses. This shows that recombining genetic variation across C. elegans populations that are in geographical close proximity provides ample variation for QTL mapping. CONCLUSION: Taken together, we show that using more parents than the classical two parental genotypes to construct a RIL population facilitates the detection of QTLs and that the use of wild isolates facilitates the detection of QTLs. The use of multi-parent RIL populations can further enhance our understanding of local adaptation and life history trade-offs.
87 schema:genre research_article
88 schema:inLanguage en
89 schema:isAccessibleForFree true
90 schema:isPartOf N373c93d76dde4597ab3d8d812a4f97a8
91 N8787fb7d5b2c4c2f876d05d0cb7a9116
92 sg:journal.1032884
93 schema:name A multi-parent recombinant inbred line population of C. elegans allows identification of novel QTLs for complex life history traits
94 schema:pagination 24
95 schema:productId N72adc20e13da4014b7bd6838008f1275
96 N77b1cd4f6f884da98903033eb43cc8ee
97 N7da9dd345933492fbb4e7d74d37e6fdb
98 N94e828d9c4e143e79f56f9e4ef781615
99 Nf0cd362ab48748a389cd973cf27b6fda
100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112739102
101 https://doi.org/10.1186/s12915-019-0642-8
102 schema:sdDatePublished 2019-04-11T13:19
103 schema:sdLicense https://scigraph.springernature.com/explorer/license/
104 schema:sdPublisher Na1e341672f4041e4af55848940acd1f1
105 schema:url https://link.springer.com/10.1186%2Fs12915-019-0642-8
106 sgo:license sg:explorer/license/
107 sgo:sdDataset articles
108 rdf:type schema:ScholarlyArticle
109 N04c25ff1423b4705ad74949952b055db schema:affiliation https://www.grid.ac/institutes/grid.4818.5
110 schema:familyName Sterken
111 schema:givenName Mark G.
112 rdf:type schema:Person
113 N0f5fb3e9cf054b828a4ab148c0dfdecb rdf:first N9ac0b0f76509456790a65c83874a2af4
114 rdf:rest N9d75a0fc59064f95883a3af4410cf23d
115 N26e80f389b744ca19d1991a2e05cebf4 rdf:first Ncc1d7bf4a1fa4625aa15f7c59a2067fc
116 rdf:rest N898240d7566644afb9925a40b8a356a7
117 N300f42af54ed4639935e73a353b77270 schema:affiliation https://www.grid.ac/institutes/grid.9764.c
118 schema:familyName Dirksen
119 schema:givenName Philipp
120 rdf:type schema:Person
121 N336ae96c072d4fc297d3b880568bc76e rdf:first N983dbd1dd47f4e29a03129d4f2e77afb
122 rdf:rest N4f4ef1ce9c6a4123a6785daa77b17dcd
123 N373c93d76dde4597ab3d8d812a4f97a8 schema:issueNumber 1
124 rdf:type schema:PublicationIssue
125 N3f52044642b24579b941bc9a3d0a1591 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
126 schema:familyName Kammenga
127 schema:givenName Jan E.
128 rdf:type schema:Person
129 N449385d9db944b8db6ec899a79198a2f rdf:first N3f52044642b24579b941bc9a3d0a1591
130 rdf:rest rdf:nil
131 N4b4f7f4ebf85480b8b300d65d1b80f0a schema:affiliation https://www.grid.ac/institutes/grid.9764.c
132 schema:familyName Petersen
133 schema:givenName Carola
134 rdf:type schema:Person
135 N4f4ef1ce9c6a4123a6785daa77b17dcd rdf:first Nc4fe4a03b0624828bc0cd7dc55e4cfbe
136 rdf:rest Nae8fc332209b4c3aae5496d8ff1d6171
137 N6b50c8fbf13e44188ddaf0b5d890e98f rdf:first N300f42af54ed4639935e73a353b77270
138 rdf:rest Naf9b83ab7da343d5a82e8ef05c03537b
139 N72adc20e13da4014b7bd6838008f1275 schema:name readcube_id
140 schema:value 055b9b910a417a215b391aabe8c6e25d1eaa0176969b28af8ca6716d10068363
141 rdf:type schema:PropertyValue
142 N77b1cd4f6f884da98903033eb43cc8ee schema:name doi
143 schema:value 10.1186/s12915-019-0642-8
144 rdf:type schema:PropertyValue
145 N7da9dd345933492fbb4e7d74d37e6fdb schema:name pubmed_id
146 schema:value 30866929
147 rdf:type schema:PropertyValue
148 N8787fb7d5b2c4c2f876d05d0cb7a9116 schema:volumeNumber 17
149 rdf:type schema:PublicationVolume
150 N898240d7566644afb9925a40b8a356a7 rdf:first Nbcb12ead710941de838de7db092ab657
151 rdf:rest N99dae88f3d1747d38d5912f79089aeb4
152 N89837bf2388d45669aba971ad8217b06 schema:affiliation https://www.grid.ac/institutes/grid.5477.1
153 schema:familyName Snoek
154 schema:givenName Basten L.
155 rdf:type schema:Person
156 N8d3bc4cf845a471ba17fc77cd5a6e4cd schema:affiliation https://www.grid.ac/institutes/grid.9764.c
157 schema:familyName Rosenstiel
158 schema:givenName Philip
159 rdf:type schema:Person
160 N94e828d9c4e143e79f56f9e4ef781615 schema:name dimensions_id
161 schema:value pub.1112739102
162 rdf:type schema:PropertyValue
163 N983dbd1dd47f4e29a03129d4f2e77afb schema:affiliation https://www.grid.ac/institutes/grid.5342.0
164 schema:familyName Braeckman
165 schema:givenName Bart P.
166 rdf:type schema:Person
167 N99dae88f3d1747d38d5912f79089aeb4 rdf:first N8d3bc4cf845a471ba17fc77cd5a6e4cd
168 rdf:rest Nb2ca291466e944e19bf7a6b0a57bfb9a
169 N9ac0b0f76509456790a65c83874a2af4 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
170 schema:familyName Volkers
171 schema:givenName Rita J. M.
172 rdf:type schema:Person
173 N9d75a0fc59064f95883a3af4410cf23d rdf:first Na397e02a2a0748dc88805a97a1eedd90
174 rdf:rest Nf0ef3d02a6184416a9dd738b54bb13d3
175 Na1e341672f4041e4af55848940acd1f1 schema:name Springer Nature - SN SciGraph project
176 rdf:type schema:Organization
177 Na397e02a2a0748dc88805a97a1eedd90 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
178 schema:familyName Nijveen
179 schema:givenName Harm
180 rdf:type schema:Person
181 Nae8fc332209b4c3aae5496d8ff1d6171 rdf:first Nbe9ef120ef18423e86ea1dc3e4c18b82
182 rdf:rest N449385d9db944b8db6ec899a79198a2f
183 Naf9b83ab7da343d5a82e8ef05c03537b rdf:first N04c25ff1423b4705ad74949952b055db
184 rdf:rest N26e80f389b744ca19d1991a2e05cebf4
185 Nb2ca291466e944e19bf7a6b0a57bfb9a rdf:first Nf8447ed7ff6e4cd486b12b35cef3b7e6
186 rdf:rest N336ae96c072d4fc297d3b880568bc76e
187 Nbcb12ead710941de838de7db092ab657 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
188 schema:familyName Riksen
189 schema:givenName Joost A. G.
190 rdf:type schema:Person
191 Nbe9ef120ef18423e86ea1dc3e4c18b82 schema:affiliation https://www.grid.ac/institutes/grid.419520.b
192 schema:familyName Schulenburg
193 schema:givenName Hinrich
194 rdf:type schema:Person
195 Nc4fe4a03b0624828bc0cd7dc55e4cfbe schema:affiliation https://www.grid.ac/institutes/grid.127050.1
196 schema:familyName Harvey
197 schema:givenName Simon C.
198 rdf:type schema:Person
199 Ncc1d7bf4a1fa4625aa15f7c59a2067fc schema:affiliation https://www.grid.ac/institutes/grid.9764.c
200 schema:familyName Nakad
201 schema:givenName Rania
202 rdf:type schema:Person
203 Nf0cd362ab48748a389cd973cf27b6fda schema:name nlm_unique_id
204 schema:value 101190720
205 rdf:type schema:PropertyValue
206 Nf0ef3d02a6184416a9dd738b54bb13d3 rdf:first N4b4f7f4ebf85480b8b300d65d1b80f0a
207 rdf:rest N6b50c8fbf13e44188ddaf0b5d890e98f
208 Nf8447ed7ff6e4cd486b12b35cef3b7e6 schema:affiliation https://www.grid.ac/institutes/grid.127050.1
209 schema:familyName Stastna
210 schema:givenName Jana J.
211 rdf:type schema:Person
212 Nf9547e9c23cd4671ab1feca041ed4b54 rdf:first N89837bf2388d45669aba971ad8217b06
213 rdf:rest N0f5fb3e9cf054b828a4ab148c0dfdecb
214 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
215 schema:name Biological Sciences
216 rdf:type schema:DefinedTerm
217 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
218 schema:name Genetics
219 rdf:type schema:DefinedTerm
220 sg:grant.4138928 http://pending.schema.org/fundedItem sg:pub.10.1186/s12915-019-0642-8
221 rdf:type schema:MonetaryGrant
222 sg:journal.1032884 schema:issn 1478-5854
223 1741-7007
224 schema:name BMC Biology
225 rdf:type schema:Periodical
226 sg:pub.10.1038/hdy.2013.50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009883436
227 https://doi.org/10.1038/hdy.2013.50
228 rdf:type schema:CreativeWork
229 sg:pub.10.1038/nature07633 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040163049
230 https://doi.org/10.1038/nature07633
231 rdf:type schema:CreativeWork
232 sg:pub.10.1038/nature09821 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008309034
233 https://doi.org/10.1038/nature09821
234 rdf:type schema:CreativeWork
235 sg:pub.10.1038/nature10378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030882213
236 https://doi.org/10.1038/nature10378
237 rdf:type schema:CreativeWork
238 sg:pub.10.1038/ng.1050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010262159
239 https://doi.org/10.1038/ng.1050
240 rdf:type schema:CreativeWork
241 sg:pub.10.1038/nn.2975 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051988047
242 https://doi.org/10.1038/nn.2975
243 rdf:type schema:CreativeWork
244 sg:pub.10.1038/nrg2612 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035008603
245 https://doi.org/10.1038/nrg2612
246 rdf:type schema:CreativeWork
247 sg:pub.10.1038/s41467-017-00386-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1091119424
248 https://doi.org/10.1038/s41467-017-00386-x
249 rdf:type schema:CreativeWork
250 sg:pub.10.1038/sj.hdy.6800929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040264627
251 https://doi.org/10.1038/sj.hdy.6800929
252 rdf:type schema:CreativeWork
253 sg:pub.10.1038/srep03912 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020367630
254 https://doi.org/10.1038/srep03912
255 rdf:type schema:CreativeWork
256 sg:pub.10.1038/srep04926 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028252682
257 https://doi.org/10.1038/srep04926
258 rdf:type schema:CreativeWork
259 sg:pub.10.1038/srep16259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029097599
260 https://doi.org/10.1038/srep16259
261 rdf:type schema:CreativeWork
262 sg:pub.10.1038/srep17303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022544322
263 https://doi.org/10.1038/srep17303
264 rdf:type schema:CreativeWork
265 sg:pub.10.1186/1471-2148-8-15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052369487
266 https://doi.org/10.1186/1471-2148-8-15
267 rdf:type schema:CreativeWork
268 sg:pub.10.1186/1471-2164-12-510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032596842
269 https://doi.org/10.1186/1471-2164-12-510
270 rdf:type schema:CreativeWork
271 sg:pub.10.1186/1741-7007-11-93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018004675
272 https://doi.org/10.1186/1741-7007-11-93
273 rdf:type schema:CreativeWork
274 sg:pub.10.1186/s12859-016-0956-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018816738
275 https://doi.org/10.1186/s12859-016-0956-2
276 rdf:type schema:CreativeWork
277 sg:pub.10.1186/s12864-016-2603-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047102486
278 https://doi.org/10.1186/s12864-016-2603-8
279 rdf:type schema:CreativeWork
280 sg:pub.10.1186/s12864-017-3899-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090298381
281 https://doi.org/10.1186/s12864-017-3899-8
282 rdf:type schema:CreativeWork
283 sg:pub.10.1186/s12915-016-0258-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010060690
284 https://doi.org/10.1186/s12915-016-0258-1
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1002/ece3.1605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038791297
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1002/ece3.4128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103851399
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1016/j.cub.2005.06.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037189872
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1016/j.cub.2015.09.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004081174
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1016/j.cub.2018.05.091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105967075
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1016/j.exger.2006.06.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037064804
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1016/j.exger.2012.05.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039501266
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1016/j.neuron.2009.02.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027721144
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1016/j.tig.2014.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047450192
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1016/j.tig.2015.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042631775
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1017/s0016672310000601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000110453
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1073/pnas.1607183113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042890615
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1093/bioinformatics/btp120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012425816
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1093/bioinformatics/btp352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023014918
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1093/molbev/msg072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024165525
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1093/molbev/msh264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021708745
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1093/nar/gkp528 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019740089
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1101/gr.102160.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003872481
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1101/gr.134031.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005761097
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1101/gr.232322.117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106149860
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1111/j.1474-9726.2009.00533.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044707742
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1111/j.1558-5646.2007.00118.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044989996
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1126/science.1089370 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039610056
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1126/science.1151107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062457177
333 rdf:type schema:CreativeWork
334 https://doi.org/10.1126/science.1166527 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062459094
335 rdf:type schema:CreativeWork
336 https://doi.org/10.1126/science.1194208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045231488
337 rdf:type schema:CreativeWork
338 https://doi.org/10.1126/science.1214318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034903351
339 rdf:type schema:CreativeWork
340 https://doi.org/10.1371/journal.pbio.1001115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026901091
341 rdf:type schema:CreativeWork
342 https://doi.org/10.1371/journal.pbio.1001230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010449916
343 rdf:type schema:CreativeWork
344 https://doi.org/10.1371/journal.pgen.0020222 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020448410
345 rdf:type schema:CreativeWork
346 https://doi.org/10.1371/journal.pgen.0030034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019657678
347 rdf:type schema:CreativeWork
348 https://doi.org/10.1371/journal.pgen.1000419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015553927
349 rdf:type schema:CreativeWork
350 https://doi.org/10.1371/journal.pgen.1000551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051775267
351 rdf:type schema:CreativeWork
352 https://doi.org/10.1371/journal.pgen.1003157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048938597
353 rdf:type schema:CreativeWork
354 https://doi.org/10.1371/journal.pgen.1004156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004287611
355 rdf:type schema:CreativeWork
356 https://doi.org/10.1371/journal.pgen.1005236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043080942
357 rdf:type schema:CreativeWork
358 https://doi.org/10.1371/journal.pgen.1006219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024672112
359 rdf:type schema:CreativeWork
360 https://doi.org/10.1371/journal.pgen.1007046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092509061
361 rdf:type schema:CreativeWork
362 https://doi.org/10.1371/journal.pone.0035811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041192930
363 rdf:type schema:CreativeWork
364 https://doi.org/10.1371/journal.pone.0085024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047209905
365 rdf:type schema:CreativeWork
366 https://doi.org/10.1371/journal.pone.0149418 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045369165
367 rdf:type schema:CreativeWork
368 https://doi.org/10.1371/journal.pone.0189445 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099647504
369 rdf:type schema:CreativeWork
370 https://doi.org/10.1534/g3.114.013151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047922258
371 rdf:type schema:CreativeWork
372 https://doi.org/10.1534/g3.115.017178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007437655
373 rdf:type schema:CreativeWork
374 https://doi.org/10.1534/g3.117.1120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090917814
375 rdf:type schema:CreativeWork
376 https://doi.org/10.1534/genetics.106.067223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012195842
377 rdf:type schema:CreativeWork
378 https://doi.org/10.1534/genetics.110.119677 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012179911
379 rdf:type schema:CreativeWork
380 https://doi.org/10.1534/genetics.112.142877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031608361
381 rdf:type schema:CreativeWork
382 https://doi.org/10.1534/genetics.115.175950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018963000
383 rdf:type schema:CreativeWork
384 https://doi.org/10.1534/genetics.115.186288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085921861
385 rdf:type schema:CreativeWork
386 https://doi.org/10.1534/genetics.116.191148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049832105
387 rdf:type schema:CreativeWork
388 https://doi.org/10.1534/genetics.116.195511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085335150
389 rdf:type schema:CreativeWork
390 https://doi.org/10.1534/genetics.117.203265 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085921875
391 rdf:type schema:CreativeWork
392 https://doi.org/10.1534/genetics.117.300406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092358472
393 rdf:type schema:CreativeWork
394 https://doi.org/10.1534/genetics.117.300564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099667088
395 rdf:type schema:CreativeWork
396 https://doi.org/10.1534/genetics.118.301311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107731705
397 rdf:type schema:CreativeWork
398 https://doi.org/10.3389/fgene.2017.00201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093167506
399 rdf:type schema:CreativeWork
400 https://doi.org/10.7554/elife.00994 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017055548
401 rdf:type schema:CreativeWork
402 https://doi.org/10.7554/elife.05849 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048681045
403 rdf:type schema:CreativeWork
404 https://doi.org/10.7554/elife.21454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024415250
405 rdf:type schema:CreativeWork
406 https://www.grid.ac/institutes/grid.127050.1 schema:alternateName Canterbury Christ Church University
407 schema:name Biomolecular Research Group, School of Human and Life Sciences, Canterbury Christ Church University, North Holmes Road, CT1 1QU, Canterbury, UK
408 rdf:type schema:Organization
409 https://www.grid.ac/institutes/grid.419520.b schema:alternateName Max Planck Institute for Evolutionary Biology
410 schema:name Max Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, 24306, Plön, Germany
411 Zoological Institute, University of Kiel, 24098, Kiel, Germany
412 rdf:type schema:Organization
413 https://www.grid.ac/institutes/grid.4818.5 schema:alternateName Wageningen University & Research
414 schema:name Bioinformatics Group, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands
415 Laboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands
416 rdf:type schema:Organization
417 https://www.grid.ac/institutes/grid.5342.0 schema:alternateName Ghent University
418 schema:name Department of Biology, Ghent University, K. L. Ledeganckstraat 35, B-9000, Ghent, Belgium
419 rdf:type schema:Organization
420 https://www.grid.ac/institutes/grid.5477.1 schema:alternateName Utrecht University
421 schema:name Laboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands
422 Theoretical Biology and Bioinformatics, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands
423 rdf:type schema:Organization
424 https://www.grid.ac/institutes/grid.9764.c schema:alternateName Kiel University
425 schema:name Institute for Clinical Molecular Biology, University of Kiel, 24098, Kiel, Germany
426 Zoological Institute, University of Kiel, 24098, Kiel, Germany
427 rdf:type schema:Organization
 




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


...