High genetic differentiation and low connectivity in the coral Pocillopora damicornis type β at different spatial scales in the Southwestern ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-10

AUTHORS

Pauline Gélin, Agathe Pirog, Cécile Fauvelot, Hélène Magalon

ABSTRACT

Studying genetic connectivity in marine populations aims to understand the dispersal of an organism through the seascape and thus its gene flow. Here, we focused on one lineage of the recently revised coral Pocillopora damicornis complex, P. damicornis type β, corresponding to Primary Species Hypothesis PSH05 in Gélin et al. (Mol Phylogenet Evol 109:430–446, 2017b): it had been hypothesized that P. damicornis type β encompasses four distinct lineages, representing Secondary Species Hypotheses (SSH05a, SSH05b, SSH05c and SSH05d). The aim of the present study was to confirm this partition and to infer the genetic structuring and connectivity among 27 populations for this widespread and common scleractinian. For this, a total of 1418 colonies were hierarchically sampled from two marine provinces of the southern parts of its distribution range, which remain largely understudied: the Western Indian Ocean and the Tropical Southwestern Pacific. Using 13 microsatellite loci and assignment tests, our findings confirmed the partition into four SSHs, each SSH splitting into clusters, suggesting that P. damicornis type β may represent a complex of cryptic species. Moreover, within each SSH, clonal propagation was evidenced in almost every population, but clonal dispersal was mostly restricted to sampling site (except in Reunion Island and northern Madagascar, where clones were found in several populations approximately 50 km apart). Nevertheless, wherever the cursor of species level is placed (one or several species), populations were highly differentiated both within the Western Indian Ocean and the Tropical Southwestern Pacific, suggesting restricted gene flow at different spatial scales (marine province, ecoregions, islands/regions), leading to diverging lineages. More... »

PAGES

167

References to SciGraph publications

  • 1998-03. Mutation rates in mangroves and other plants in GENETICA
  • 2007-06. Asexual reproduction: Genetics and evolutionary aspects in CELLULAR AND MOLECULAR LIFE SCIENCES
  • 2017-04. One species for one island? Unexpected diversity and weak connectivity in a widely distributed tropical hydrozoan in HEREDITY
  • 1992-04. Evidence for broadcast spawning as well as brooding in the scleractinian coral Pocillopora damicornis in MARINE BIOLOGY
  • 2013-03. Assessing hidden species diversity in the coral Pocillopora damicornis from Eastern Australia in CORAL REEFS
  • 2017-12. The molecular basis of differential morphology and bleaching thresholds in two morphs of the coral Pocillopora acuta in SCIENTIFIC REPORTS
  • 2010-12. Discriminant analysis of principal components: a new method for the analysis of genetically structured populations in BMC GENETICS
  • 1983-11. Asexual production of planulae in the coral Pocillopora damicornis in MARINE BIOLOGY
  • 2014-03. Genetic diversity, clonality and connectivity in the scleractinian coral Pocillopora damicornis: a multi-scale analysis in an insular, fragmented reef system in MARINE BIOLOGY
  • 1984-11. Genetic differentiation amongst populations of the coral Pocillopora damicornis off southwestern Australia in CORAL REEFS
  • 2006-03. Asexual reproduction does not produce clonal populations of the brooding coral Pocillopora damicornis on the Great Barrier Reef, Australia in CORAL REEFS
  • 1998-02. Evidence of limited gene flow in three species of coral reef fishes in the lagoon of New Caledonia in MARINE BIOLOGY
  • 2009-12. Patterns of genetic structuring in the coral Pocillopora damicornis on reefs in East Africa in BMC ECOLOGY
  • Journal

    TITLE

    Marine Biology

    ISSUE

    10

    VOLUME

    165

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00227-018-3428-6

    DOI

    http://dx.doi.org/10.1007/s00227-018-3428-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107491951


    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": {
              "name": [
                "UMR ENTROPIE (Universit\u00e9 de La R\u00e9union, IRD, CNRS), Universit\u00e9 de La R\u00e9union, Facult\u00e9 des Sciences et Technologies, 15 Bd Ren\u00e9 Cassin, CS 92003, 97744, St Denis Cedex 09, La R\u00e9union, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "G\u00e9lin", 
            "givenName": "Pauline", 
            "id": "sg:person.015212572035.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015212572035.76"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "UMR ENTROPIE (Universit\u00e9 de La R\u00e9union, IRD, CNRS), Universit\u00e9 de La R\u00e9union, Facult\u00e9 des Sciences et Technologies, 15 Bd Ren\u00e9 Cassin, CS 92003, 97744, St Denis Cedex 09, La R\u00e9union, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pirog", 
            "givenName": "Agathe", 
            "id": "sg:person.012213556755.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012213556755.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Labex Corail", 
              "id": "https://www.grid.ac/institutes/grid.452595.a", 
              "name": [
                "UMR ENTROPIE (IRD, Universit\u00e9 de La R\u00e9union, CNRS), centre IRD de Noum\u00e9a, Noum\u00e9a, New Caledonia, France", 
                "Universit\u00e9 C\u00f4te d\u2019Azur, CNRS, FRE, 3729 ECOMERS, Parc Valrose, Nice, France", 
                "Laboratoire d\u2019excellence-CORAIL, Perpignan, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fauvelot", 
            "givenName": "C\u00e9cile", 
            "id": "sg:person.01263662160.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263662160.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Labex Corail", 
              "id": "https://www.grid.ac/institutes/grid.452595.a", 
              "name": [
                "UMR ENTROPIE (Universit\u00e9 de La R\u00e9union, IRD, CNRS), Universit\u00e9 de La R\u00e9union, Facult\u00e9 des Sciences et Technologies, 15 Bd Ren\u00e9 Cassin, CS 92003, 97744, St Denis Cedex 09, La R\u00e9union, France", 
                "Laboratoire d\u2019excellence-CORAIL, Perpignan, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Magalon", 
            "givenName": "H\u00e9l\u00e8ne", 
            "id": "sg:person.011475422635.87", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011475422635.87"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00338-005-0053-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000073151", 
              "https://doi.org/10.1007/s00338-005-0053-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00338-005-0053-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000073151", 
              "https://doi.org/10.1007/s00338-005-0053-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/maec.12153", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000778080"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0998.2009.02591.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001719382"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0998.2009.02591.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001719382"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2007.03535.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003889782"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0050847", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005745445"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-294x.2004.02076.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007793643"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0107366", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008301852"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1471-8286.2004.00845.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008599649"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tree.2005.01.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009846677"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1095-8312.2003.00179.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010597002"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5343/bms.2012.1080", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010809314"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00393029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011653240", 
              "https://doi.org/10.1007/bf00393029"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00393029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011653240", 
              "https://doi.org/10.1007/bf00393029"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btn129", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011820832"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1641/b570707", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012511870"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00018-007-6515-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013920760", 
              "https://doi.org/10.1007/s00018-007-6515-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2010.04784.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015036763"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2010.04784.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015036763"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.107.072371", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015610360"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.107.072371", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015610360"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0169-5347(96)81040-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016062319"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3755/galaxea.16.11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016683996"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1471-8286.2004.00770.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017382882"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rsif.2007.0230", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018823662"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0122127", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021024582"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2156-11-94", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027835018", 
              "https://doi.org/10.1186/1471-2156-11-94"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/2041-210x.12550", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028367766"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s002270050256", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029339466", 
              "https://doi.org/10.1007/s002270050256"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/zoj.12092", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032393036"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/mec.13048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033884804"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00227-013-2355-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033950640", 
              "https://doi.org/10.1007/s00227-013-2355-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2005.02640.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034329830"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2005.02640.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034329830"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00301959", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035779494", 
              "https://doi.org/10.1007/bf00301959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00346182", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036067926", 
              "https://doi.org/10.1007/bf00346182"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-2745.2001.00558.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036952129"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/mec.12335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038631835"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0169692", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039048982"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.crvi.2007.12.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041166919"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/mec.12540", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041240264"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1755-0998.12290", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041622394"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00338-012-0959-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042339103", 
              "https://doi.org/10.1007/s00338-012-0959-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1017026907407", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044744455", 
              "https://doi.org/10.1023/a:1017026907407"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2005.02553.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045105386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2005.02553.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045105386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.2008.03887.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047228818"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1472-6785-9-19", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047235987", 
              "https://doi.org/10.1186/1472-6785-9-19"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1471-8286.2006.01522.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047590501"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/mec.12539", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051308901"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/jbi.12110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052052757"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ece3.1981", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052572523"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/07924259.2002.9652756", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052776224"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/2409987", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069918872"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/meps007207", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071164594"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/meps023153", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071165119"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/meps159175", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071174355"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074647594", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1075335900", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077356368", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/hdy.2016.126", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083734009", 
              "https://doi.org/10.1038/hdy.2016.126"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ympev.2017.01.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083851631"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/mec.14165", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085169227"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1558-5646.1984.tb05657.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085737796"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ece3.3285", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091207171"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-10560-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091344624", 
              "https://doi.org/10.1038/s41598-017-10560-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-10560-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091344624", 
              "https://doi.org/10.1038/s41598-017-10560-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ece3.3236", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091503509"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4159/harvard.9780674865327", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099304422"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ece3.3747", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100090985"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-10", 
        "datePublishedReg": "2018-10-01", 
        "description": "Studying genetic connectivity in marine populations aims to understand the dispersal of an organism through the seascape and thus its gene flow. Here, we focused on one lineage of the recently revised coral Pocillopora damicornis complex, P. damicornis type \u03b2, corresponding to Primary Species Hypothesis PSH05 in G\u00e9lin et al. (Mol Phylogenet Evol 109:430\u2013446, 2017b): it had been hypothesized that P. damicornis type \u03b2 encompasses four distinct lineages, representing Secondary Species Hypotheses (SSH05a, SSH05b, SSH05c and SSH05d). The aim of the present study was to confirm this partition and to infer the genetic structuring and connectivity among 27 populations for this widespread and common scleractinian. For this, a total of 1418 colonies were hierarchically sampled from two marine provinces of the southern parts of its distribution range, which remain largely understudied: the Western Indian Ocean and the Tropical Southwestern Pacific. Using 13 microsatellite loci and assignment tests, our findings confirmed the partition into four SSHs, each SSH splitting into clusters, suggesting that P. damicornis type \u03b2 may represent a complex of cryptic species. Moreover, within each SSH, clonal propagation was evidenced in almost every population, but clonal dispersal was mostly restricted to sampling site (except in Reunion Island and northern Madagascar, where clones were found in several populations approximately 50 km apart). Nevertheless, wherever the cursor of species level is placed (one or several species), populations were highly differentiated both within the Western Indian Ocean and the Tropical Southwestern Pacific, suggesting restricted gene flow at different spatial scales (marine province, ecoregions, islands/regions), leading to diverging lineages.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00227-018-3428-6", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1327717", 
            "issn": [
              "0025-3162", 
              "1432-1793"
            ], 
            "name": "Marine Biology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "10", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "165"
          }
        ], 
        "name": "High genetic differentiation and low connectivity in the coral Pocillopora damicornis type \u03b2 at different spatial scales in the Southwestern Indian Ocean and the Tropical Southwestern Pacific", 
        "pagination": "167", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "0355d7384c70e7366c11d016a4cfc8abc8d68692276607f726cd4202e13bcdf8"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00227-018-3428-6"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1107491951"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00227-018-3428-6", 
          "https://app.dimensions.ai/details/publication/pub.1107491951"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T22:41", 
        "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/v90/0000000001_0000000264/records_8690_00000567.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs00227-018-3428-6"
      }
    ]
     

    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.10.1007/s00227-018-3428-6'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00227-018-3428-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00227-018-3428-6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00227-018-3428-6'


     

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

    288 TRIPLES      21 PREDICATES      90 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00227-018-3428-6 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author Na1c728f478d74368af019eb16e08b66b
    4 schema:citation sg:pub.10.1007/bf00301959
    5 sg:pub.10.1007/bf00346182
    6 sg:pub.10.1007/bf00393029
    7 sg:pub.10.1007/s00018-007-6515-2
    8 sg:pub.10.1007/s00227-013-2355-9
    9 sg:pub.10.1007/s002270050256
    10 sg:pub.10.1007/s00338-005-0053-x
    11 sg:pub.10.1007/s00338-012-0959-z
    12 sg:pub.10.1023/a:1017026907407
    13 sg:pub.10.1038/hdy.2016.126
    14 sg:pub.10.1038/s41598-017-10560-2
    15 sg:pub.10.1186/1471-2156-11-94
    16 sg:pub.10.1186/1472-6785-9-19
    17 https://app.dimensions.ai/details/publication/pub.1074647594
    18 https://app.dimensions.ai/details/publication/pub.1075335900
    19 https://app.dimensions.ai/details/publication/pub.1077356368
    20 https://doi.org/10.1002/ece3.1981
    21 https://doi.org/10.1002/ece3.3236
    22 https://doi.org/10.1002/ece3.3285
    23 https://doi.org/10.1002/ece3.3747
    24 https://doi.org/10.1016/0169-5347(96)81040-8
    25 https://doi.org/10.1016/j.crvi.2007.12.003
    26 https://doi.org/10.1016/j.tree.2005.01.001
    27 https://doi.org/10.1016/j.ympev.2017.01.018
    28 https://doi.org/10.1046/j.1095-8312.2003.00179.x
    29 https://doi.org/10.1046/j.1365-2745.2001.00558.x
    30 https://doi.org/10.1046/j.1365-294x.2004.02076.x
    31 https://doi.org/10.1080/07924259.2002.9652756
    32 https://doi.org/10.1093/bioinformatics/btn129
    33 https://doi.org/10.1098/rsif.2007.0230
    34 https://doi.org/10.1111/1755-0998.12290
    35 https://doi.org/10.1111/2041-210x.12550
    36 https://doi.org/10.1111/j.1365-294x.2005.02553.x
    37 https://doi.org/10.1111/j.1365-294x.2005.02640.x
    38 https://doi.org/10.1111/j.1365-294x.2007.03535.x
    39 https://doi.org/10.1111/j.1365-294x.2008.03887.x
    40 https://doi.org/10.1111/j.1365-294x.2010.04784.x
    41 https://doi.org/10.1111/j.1471-8286.2004.00770.x
    42 https://doi.org/10.1111/j.1471-8286.2004.00845.x
    43 https://doi.org/10.1111/j.1471-8286.2006.01522.x
    44 https://doi.org/10.1111/j.1558-5646.1984.tb05657.x
    45 https://doi.org/10.1111/j.1755-0998.2009.02591.x
    46 https://doi.org/10.1111/jbi.12110
    47 https://doi.org/10.1111/maec.12153
    48 https://doi.org/10.1111/mec.12335
    49 https://doi.org/10.1111/mec.12539
    50 https://doi.org/10.1111/mec.12540
    51 https://doi.org/10.1111/mec.13048
    52 https://doi.org/10.1111/mec.14165
    53 https://doi.org/10.1111/zoj.12092
    54 https://doi.org/10.1371/journal.pone.0050847
    55 https://doi.org/10.1371/journal.pone.0107366
    56 https://doi.org/10.1371/journal.pone.0122127
    57 https://doi.org/10.1371/journal.pone.0169692
    58 https://doi.org/10.1534/genetics.107.072371
    59 https://doi.org/10.1641/b570707
    60 https://doi.org/10.2307/2409987
    61 https://doi.org/10.3354/meps007207
    62 https://doi.org/10.3354/meps023153
    63 https://doi.org/10.3354/meps159175
    64 https://doi.org/10.3755/galaxea.16.11
    65 https://doi.org/10.4159/harvard.9780674865327
    66 https://doi.org/10.5343/bms.2012.1080
    67 schema:datePublished 2018-10
    68 schema:datePublishedReg 2018-10-01
    69 schema:description Studying genetic connectivity in marine populations aims to understand the dispersal of an organism through the seascape and thus its gene flow. Here, we focused on one lineage of the recently revised coral Pocillopora damicornis complex, P. damicornis type β, corresponding to Primary Species Hypothesis PSH05 in Gélin et al. (Mol Phylogenet Evol 109:430–446, 2017b): it had been hypothesized that P. damicornis type β encompasses four distinct lineages, representing Secondary Species Hypotheses (SSH05a, SSH05b, SSH05c and SSH05d). The aim of the present study was to confirm this partition and to infer the genetic structuring and connectivity among 27 populations for this widespread and common scleractinian. For this, a total of 1418 colonies were hierarchically sampled from two marine provinces of the southern parts of its distribution range, which remain largely understudied: the Western Indian Ocean and the Tropical Southwestern Pacific. Using 13 microsatellite loci and assignment tests, our findings confirmed the partition into four SSHs, each SSH splitting into clusters, suggesting that P. damicornis type β may represent a complex of cryptic species. Moreover, within each SSH, clonal propagation was evidenced in almost every population, but clonal dispersal was mostly restricted to sampling site (except in Reunion Island and northern Madagascar, where clones were found in several populations approximately 50 km apart). Nevertheless, wherever the cursor of species level is placed (one or several species), populations were highly differentiated both within the Western Indian Ocean and the Tropical Southwestern Pacific, suggesting restricted gene flow at different spatial scales (marine province, ecoregions, islands/regions), leading to diverging lineages.
    70 schema:genre research_article
    71 schema:inLanguage en
    72 schema:isAccessibleForFree false
    73 schema:isPartOf N560f0b94bd1143c0869151a33e9a9c49
    74 N60ed84948f494af5bbc41105a8ebb54c
    75 sg:journal.1327717
    76 schema:name High genetic differentiation and low connectivity in the coral Pocillopora damicornis type β at different spatial scales in the Southwestern Indian Ocean and the Tropical Southwestern Pacific
    77 schema:pagination 167
    78 schema:productId N55da506f4e83440c922f5dd6bf7852b0
    79 N573029e6d2a243c6badeb66f926e40de
    80 Nf3b9809acabc49429ec0105b524e2992
    81 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107491951
    82 https://doi.org/10.1007/s00227-018-3428-6
    83 schema:sdDatePublished 2019-04-10T22:41
    84 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    85 schema:sdPublisher Na88bbc9d4dfb4672a4e3edd88a11700f
    86 schema:url https://link.springer.com/10.1007%2Fs00227-018-3428-6
    87 sgo:license sg:explorer/license/
    88 sgo:sdDataset articles
    89 rdf:type schema:ScholarlyArticle
    90 N27880b89ec144e31ab7387475586a0f8 schema:name UMR ENTROPIE (Université de La Réunion, IRD, CNRS), Université de La Réunion, Faculté des Sciences et Technologies, 15 Bd René Cassin, CS 92003, 97744, St Denis Cedex 09, La Réunion, France
    91 rdf:type schema:Organization
    92 N3a887fafc58f457b9ecae361e99d175b schema:name UMR ENTROPIE (Université de La Réunion, IRD, CNRS), Université de La Réunion, Faculté des Sciences et Technologies, 15 Bd René Cassin, CS 92003, 97744, St Denis Cedex 09, La Réunion, France
    93 rdf:type schema:Organization
    94 N55da506f4e83440c922f5dd6bf7852b0 schema:name doi
    95 schema:value 10.1007/s00227-018-3428-6
    96 rdf:type schema:PropertyValue
    97 N560f0b94bd1143c0869151a33e9a9c49 schema:issueNumber 10
    98 rdf:type schema:PublicationIssue
    99 N573029e6d2a243c6badeb66f926e40de schema:name readcube_id
    100 schema:value 0355d7384c70e7366c11d016a4cfc8abc8d68692276607f726cd4202e13bcdf8
    101 rdf:type schema:PropertyValue
    102 N60ed84948f494af5bbc41105a8ebb54c schema:volumeNumber 165
    103 rdf:type schema:PublicationVolume
    104 N6792125679ec411fb4aa1ebe605a7b28 rdf:first sg:person.011475422635.87
    105 rdf:rest rdf:nil
    106 N800a1025775b4243add2c29753ea09e9 rdf:first sg:person.012213556755.06
    107 rdf:rest N911bfedb637c4b3889209c0b3e053c89
    108 N911bfedb637c4b3889209c0b3e053c89 rdf:first sg:person.01263662160.08
    109 rdf:rest N6792125679ec411fb4aa1ebe605a7b28
    110 Na1c728f478d74368af019eb16e08b66b rdf:first sg:person.015212572035.76
    111 rdf:rest N800a1025775b4243add2c29753ea09e9
    112 Na88bbc9d4dfb4672a4e3edd88a11700f schema:name Springer Nature - SN SciGraph project
    113 rdf:type schema:Organization
    114 Nf3b9809acabc49429ec0105b524e2992 schema:name dimensions_id
    115 schema:value pub.1107491951
    116 rdf:type schema:PropertyValue
    117 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    118 schema:name Biological Sciences
    119 rdf:type schema:DefinedTerm
    120 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    121 schema:name Genetics
    122 rdf:type schema:DefinedTerm
    123 sg:journal.1327717 schema:issn 0025-3162
    124 1432-1793
    125 schema:name Marine Biology
    126 rdf:type schema:Periodical
    127 sg:person.011475422635.87 schema:affiliation https://www.grid.ac/institutes/grid.452595.a
    128 schema:familyName Magalon
    129 schema:givenName Hélène
    130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011475422635.87
    131 rdf:type schema:Person
    132 sg:person.012213556755.06 schema:affiliation N27880b89ec144e31ab7387475586a0f8
    133 schema:familyName Pirog
    134 schema:givenName Agathe
    135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012213556755.06
    136 rdf:type schema:Person
    137 sg:person.01263662160.08 schema:affiliation https://www.grid.ac/institutes/grid.452595.a
    138 schema:familyName Fauvelot
    139 schema:givenName Cécile
    140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263662160.08
    141 rdf:type schema:Person
    142 sg:person.015212572035.76 schema:affiliation N3a887fafc58f457b9ecae361e99d175b
    143 schema:familyName Gélin
    144 schema:givenName Pauline
    145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015212572035.76
    146 rdf:type schema:Person
    147 sg:pub.10.1007/bf00301959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035779494
    148 https://doi.org/10.1007/bf00301959
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1007/bf00346182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036067926
    151 https://doi.org/10.1007/bf00346182
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1007/bf00393029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011653240
    154 https://doi.org/10.1007/bf00393029
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/s00018-007-6515-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013920760
    157 https://doi.org/10.1007/s00018-007-6515-2
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/s00227-013-2355-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033950640
    160 https://doi.org/10.1007/s00227-013-2355-9
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/s002270050256 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029339466
    163 https://doi.org/10.1007/s002270050256
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1007/s00338-005-0053-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000073151
    166 https://doi.org/10.1007/s00338-005-0053-x
    167 rdf:type schema:CreativeWork
    168 sg:pub.10.1007/s00338-012-0959-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1042339103
    169 https://doi.org/10.1007/s00338-012-0959-z
    170 rdf:type schema:CreativeWork
    171 sg:pub.10.1023/a:1017026907407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044744455
    172 https://doi.org/10.1023/a:1017026907407
    173 rdf:type schema:CreativeWork
    174 sg:pub.10.1038/hdy.2016.126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083734009
    175 https://doi.org/10.1038/hdy.2016.126
    176 rdf:type schema:CreativeWork
    177 sg:pub.10.1038/s41598-017-10560-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091344624
    178 https://doi.org/10.1038/s41598-017-10560-2
    179 rdf:type schema:CreativeWork
    180 sg:pub.10.1186/1471-2156-11-94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027835018
    181 https://doi.org/10.1186/1471-2156-11-94
    182 rdf:type schema:CreativeWork
    183 sg:pub.10.1186/1472-6785-9-19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047235987
    184 https://doi.org/10.1186/1472-6785-9-19
    185 rdf:type schema:CreativeWork
    186 https://app.dimensions.ai/details/publication/pub.1074647594 schema:CreativeWork
    187 https://app.dimensions.ai/details/publication/pub.1075335900 schema:CreativeWork
    188 https://app.dimensions.ai/details/publication/pub.1077356368 schema:CreativeWork
    189 https://doi.org/10.1002/ece3.1981 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052572523
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1002/ece3.3236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091503509
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1002/ece3.3285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091207171
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1002/ece3.3747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100090985
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1016/0169-5347(96)81040-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016062319
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1016/j.crvi.2007.12.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041166919
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1016/j.tree.2005.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009846677
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1016/j.ympev.2017.01.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083851631
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1046/j.1095-8312.2003.00179.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010597002
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1046/j.1365-2745.2001.00558.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036952129
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1046/j.1365-294x.2004.02076.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007793643
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1080/07924259.2002.9652756 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052776224
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1093/bioinformatics/btn129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011820832
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1098/rsif.2007.0230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018823662
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1111/1755-0998.12290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041622394
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1111/2041-210x.12550 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028367766
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1111/j.1365-294x.2005.02553.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045105386
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1111/j.1365-294x.2005.02640.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034329830
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1111/j.1365-294x.2007.03535.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003889782
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1111/j.1365-294x.2008.03887.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047228818
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1111/j.1365-294x.2010.04784.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015036763
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1111/j.1471-8286.2004.00770.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017382882
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1111/j.1471-8286.2004.00845.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008599649
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1111/j.1471-8286.2006.01522.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047590501
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1111/j.1558-5646.1984.tb05657.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085737796
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1111/j.1755-0998.2009.02591.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001719382
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1111/jbi.12110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052052757
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1111/maec.12153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000778080
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1111/mec.12335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038631835
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1111/mec.12539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051308901
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1111/mec.12540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041240264
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1111/mec.13048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033884804
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1111/mec.14165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085169227
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1111/zoj.12092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032393036
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1371/journal.pone.0050847 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005745445
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1371/journal.pone.0107366 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008301852
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.1371/journal.pone.0122127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021024582
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.1371/journal.pone.0169692 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039048982
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.1534/genetics.107.072371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015610360
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.1641/b570707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012511870
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.2307/2409987 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069918872
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.3354/meps007207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071164594
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.3354/meps023153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071165119
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.3354/meps159175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071174355
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.3755/galaxea.16.11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016683996
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.4159/harvard.9780674865327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099304422
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.5343/bms.2012.1080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010809314
    282 rdf:type schema:CreativeWork
    283 https://www.grid.ac/institutes/grid.452595.a schema:alternateName Labex Corail
    284 schema:name Laboratoire d’excellence-CORAIL, Perpignan, France
    285 UMR ENTROPIE (IRD, Université de La Réunion, CNRS), centre IRD de Nouméa, Nouméa, New Caledonia, France
    286 UMR ENTROPIE (Université de La Réunion, IRD, CNRS), Université de La Réunion, Faculté des Sciences et Technologies, 15 Bd René Cassin, CS 92003, 97744, St Denis Cedex 09, La Réunion, France
    287 Université Côte d’Azur, CNRS, FRE, 3729 ECOMERS, Parc Valrose, Nice, France
    288 rdf:type schema:Organization
     




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


    ...