Genetic structure of wild boar (Sus scrofa) populations from East Asia based on microsatellite loci analyses View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Sung Kyoung Choi, Ji-Eun Lee, Young-Jun Kim, Mi-Sook Min, Inna Voloshina, Alexander Myslenkov, Jang Geun Oh, Tae-Hun Kim, Nickolay Markov, Ivan Seryodkin, Naotaka Ishiguro, Li Yu, Ya-Ping Zhang, Hang Lee, Kyung Seok Kim

ABSTRACT

BACKGROUND: Wild boar, Sus scrofa, is an extant wild ancestor of the domestic pig as an agro-economically important mammal. Wild boar has a worldwide distribution with its geographic origin in Southeast Asia, but genetic diversity and genetic structure of wild boar in East Asia are poorly understood. To characterize the pattern and amount of genetic variation and population structure of wild boar in East Asia, we genotyped and analyzed microsatellite loci for a total of 238 wild boar specimens from ten locations across six countries in East and Southeast Asia. RESULTS: Our data indicated that wild boar populations in East Asia are genetically diverse and structured, showing a significant correlation of genetic distance with geographic distance and implying a low level of gene flow at a regional scale. Bayesian-based clustering analysis was indicative of seven inferred genetic clusters in which wild boars in East Asia are geographically structured. The level of genetic diversity was relatively high in wild boars from Southeast Asia, compared with those from Northeast Asia. This gradient pattern of genetic diversity is consistent with an assumed ancestral population of wild boar in Southeast Asia. Genetic evidences from a relationship tree and structure analysis suggest that wild boar in Jeju Island, South Korea have a distinct genetic background from those in mainland Korea. CONCLUSIONS: Our results reveal a diverse pattern of genetic diversity and the existence of genetic differentiation among wild boar populations inhabiting East Asia. This study highlights the potential contribution of genetic variation of wild boar to the high genetic diversity of local domestic pigs during domestication in East Asia. More... »

PAGES

85

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2156-15-85

DOI

http://dx.doi.org/10.1186/1471-2156-15-85

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011777573

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25034725


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bayes Theorem", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Far East", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Flow", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetics, Population", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microsatellite Repeats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, DNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sus scrofa", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Sung Kyoung", 
        "id": "sg:person.01012270605.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012270605.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Ji-Eun", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Ecology", 
          "id": "https://www.grid.ac/institutes/grid.496435.9", 
          "name": [
            "National Institute of Ecology, Seocheon-gun, Chungcheongnam-do, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Young-Jun", 
        "id": "sg:person.01026066357.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026066357.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Min", 
        "givenName": "Mi-Sook", 
        "id": "sg:person.0623767475.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623767475.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Lazovsky State Nature Reserve, Lazo, Primorsky Krai, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Voloshina", 
        "givenName": "Inna", 
        "id": "sg:person.01006331275.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006331275.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Lazovsky State Nature Reserve, Lazo, Primorsky Krai, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Myslenkov", 
        "givenName": "Alexander", 
        "id": "sg:person.01142314757.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142314757.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Research Institute for Hallasan, Jeju Special Self-Governing Province, Jeju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oh", 
        "givenName": "Jang Geun", 
        "id": "sg:person.0751426614.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751426614.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Rural Development Administration", 
          "id": "https://www.grid.ac/institutes/grid.420186.9", 
          "name": [
            "Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration, Suwon, Gyeonggi-do, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Tae-Hun", 
        "id": "sg:person.0670451025.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670451025.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ural Branch of the Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.426536.0", 
          "name": [
            "Institute of Plant and Animal Ecology Urals Branch of Russian Academy of Sciences, Yekaterinburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Markov", 
        "givenName": "Nickolay", 
        "id": "sg:person.01065655214.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065655214.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pacific Institute of Geography, Far Eastern Branch of the Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.465394.9", 
          "name": [
            "Pacific Geographical Institute Far Eastern Branch of Russian Academy of Sciences, Vladivostok, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Seryodkin", 
        "givenName": "Ivan", 
        "id": "sg:person.012314101114.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012314101114.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gifu University", 
          "id": "https://www.grid.ac/institutes/grid.256342.4", 
          "name": [
            "Laboratory of Food and Environmental Hygiene, Veterinary Medicine, Gifu University, Gifu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ishiguro", 
        "givenName": "Naotaka", 
        "id": "sg:person.012165504271.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012165504271.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yunnan University", 
          "id": "https://www.grid.ac/institutes/grid.440773.3", 
          "name": [
            "Laboratory for Conservation and Utilization of Bio-resource and Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "Li", 
        "id": "sg:person.01214775665.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214775665.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kunming Institute of Zoology", 
          "id": "https://www.grid.ac/institutes/grid.419010.d", 
          "name": [
            "State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Ya-Ping", 
        "id": "sg:person.0714217763.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714217763.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Hang", 
        "id": "sg:person.01324656557.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324656557.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Iowa State University", 
          "id": "https://www.grid.ac/institutes/grid.34421.30", 
          "name": [
            "College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea", 
            "Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Kyung Seok", 
        "id": "sg:person.01131570355.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131570355.58"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10059-009-0139-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007996939", 
          "https://doi.org/10.1007/s10059-009-0139-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10059-009-0139-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007996939", 
          "https://doi.org/10.1007/s10059-009-0139-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10059-009-0139-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007996939", 
          "https://doi.org/10.1007/s10059-009-0139-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ee/37.2.293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010728504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/jbi.12268", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012468288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1603/0046-225x(2008)37[293:acsomm]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013564879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2007-8-11-r245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015276280", 
          "https://doi.org/10.1186/gb-2007-8-11-r245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02300753", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015443395", 
          "https://doi.org/10.1007/bf02300753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02300753", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015443395", 
          "https://doi.org/10.1007/bf02300753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2699.2011.02636.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016449190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2008.03703.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016476934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jhev.1999.0390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017702193"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2052.2010.02074.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021074270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0055891", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023063450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0026416", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024013123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ympev.2009.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024662881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bts460", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026432648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jhered/esq121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026745377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5141/jefb.2006.29.3.253", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031771862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/wr94075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032435325"
        ], 
        "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/10.1093/molbev/msp118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045146870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msp118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045146870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2013-14-9-r107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046245701", 
          "https://doi.org/10.1186/gb-2013-14-9-r107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0912264107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048693923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2005.01155.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052284706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2005.01155.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052284706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1106927", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062451356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2108/zsj.19.1329", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068909297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1934145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069658363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2409177", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069918127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074616182", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074647594", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077357050", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a040454", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079752303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.jhered.a111627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083620598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1079/9781845937560.0014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1089213307"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "BACKGROUND: Wild boar, Sus scrofa, is an extant wild ancestor of the domestic pig as an agro-economically important mammal. Wild boar has a worldwide distribution with its geographic origin in Southeast Asia, but genetic diversity and genetic structure of wild boar in East Asia are poorly understood. To characterize the pattern and amount of genetic variation and population structure of wild boar in East Asia, we genotyped and analyzed microsatellite loci for a total of 238 wild boar specimens from ten locations across six countries in East and Southeast Asia.\nRESULTS: Our data indicated that wild boar populations in East Asia are genetically diverse and structured, showing a significant correlation of genetic distance with geographic distance and implying a low level of gene flow at a regional scale. Bayesian-based clustering analysis was indicative of seven inferred genetic clusters in which wild boars in East Asia are geographically structured. The level of genetic diversity was relatively high in wild boars from Southeast Asia, compared with those from Northeast Asia. This gradient pattern of genetic diversity is consistent with an assumed ancestral population of wild boar in Southeast Asia. Genetic evidences from a relationship tree and structure analysis suggest that wild boar in Jeju Island, South Korea have a distinct genetic background from those in mainland Korea.\nCONCLUSIONS: Our results reveal a diverse pattern of genetic diversity and the existence of genetic differentiation among wild boar populations inhabiting East Asia. This study highlights the potential contribution of genetic variation of wild boar to the high genetic diversity of local domestic pigs during domestication in East Asia.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2156-15-85", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7445081", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1024251", 
        "issn": [
          "1471-2156"
        ], 
        "name": "BMC Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Genetic structure of wild boar (Sus scrofa) populations from East Asia based on microsatellite loci analyses", 
    "pagination": "85", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "381d5e65ea37335980ba0708adef6c62660ec2ab3b0def63ebee2d73fe1c08b5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25034725"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100966978"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2156-15-85"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011777573"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2156-15-85", 
      "https://app.dimensions.ai/details/publication/pub.1011777573"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:58", 
    "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_8700_00000504.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2156-15-85"
  }
]
 

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.10.1186/1471-2156-15-85'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2156-15-85'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2156-15-85'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2156-15-85'


 

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

335 TRIPLES      21 PREDICATES      71 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2156-15-85 schema:about N06717e69b50643b8b236c314a23cdaed
2 N078f08def0f44d8ab99ae9d95f29d051
3 N0bc7144b9c6549daa51d63b0a491555e
4 N1220ecb8fccf4dfbbe45ab94f5f953c8
5 N53b92ecb60dd4ef4bd85921ff79c636f
6 N7e5ca922e5c14f8092ae5fba8b99cf17
7 Nb7534da8caf74b859d424249e6615273
8 Nc923ccd69fa4497299c65826d191c951
9 Nd195f24c2192432c86088fde135a9b95
10 Nf5e8c973170649888f7d126919642a6f
11 anzsrc-for:06
12 anzsrc-for:0604
13 schema:author N8d68ae5c0f654be39983c8e6de8eabcc
14 schema:citation sg:pub.10.1007/bf02300753
15 sg:pub.10.1007/s10059-009-0139-3
16 sg:pub.10.1186/gb-2007-8-11-r245
17 sg:pub.10.1186/gb-2013-14-9-r107
18 https://app.dimensions.ai/details/publication/pub.1074616182
19 https://app.dimensions.ai/details/publication/pub.1074647594
20 https://app.dimensions.ai/details/publication/pub.1077357050
21 https://doi.org/10.1006/jhev.1999.0390
22 https://doi.org/10.1016/j.ympev.2009.11.004
23 https://doi.org/10.1071/wr94075
24 https://doi.org/10.1073/pnas.0912264107
25 https://doi.org/10.1079/9781845937560.0014
26 https://doi.org/10.1093/bioinformatics/bts460
27 https://doi.org/10.1093/ee/37.2.293
28 https://doi.org/10.1093/jhered/esq121
29 https://doi.org/10.1093/molbev/msp118
30 https://doi.org/10.1093/oxfordjournals.jhered.a111627
31 https://doi.org/10.1093/oxfordjournals.molbev.a040454
32 https://doi.org/10.1111/j.1365-2052.2010.02074.x
33 https://doi.org/10.1111/j.1365-2699.2011.02636.x
34 https://doi.org/10.1111/j.1365-294x.2005.02553.x
35 https://doi.org/10.1111/j.1365-294x.2008.03703.x
36 https://doi.org/10.1111/j.1471-8286.2005.01155.x
37 https://doi.org/10.1111/jbi.12268
38 https://doi.org/10.1126/science.1106927
39 https://doi.org/10.1371/journal.pone.0026416
40 https://doi.org/10.1371/journal.pone.0055891
41 https://doi.org/10.1603/0046-225x(2008)37[293:acsomm]2.0.co;2
42 https://doi.org/10.2108/zsj.19.1329
43 https://doi.org/10.2307/1934145
44 https://doi.org/10.2307/2409177
45 https://doi.org/10.5141/jefb.2006.29.3.253
46 schema:datePublished 2014-12
47 schema:datePublishedReg 2014-12-01
48 schema:description BACKGROUND: Wild boar, Sus scrofa, is an extant wild ancestor of the domestic pig as an agro-economically important mammal. Wild boar has a worldwide distribution with its geographic origin in Southeast Asia, but genetic diversity and genetic structure of wild boar in East Asia are poorly understood. To characterize the pattern and amount of genetic variation and population structure of wild boar in East Asia, we genotyped and analyzed microsatellite loci for a total of 238 wild boar specimens from ten locations across six countries in East and Southeast Asia. RESULTS: Our data indicated that wild boar populations in East Asia are genetically diverse and structured, showing a significant correlation of genetic distance with geographic distance and implying a low level of gene flow at a regional scale. Bayesian-based clustering analysis was indicative of seven inferred genetic clusters in which wild boars in East Asia are geographically structured. The level of genetic diversity was relatively high in wild boars from Southeast Asia, compared with those from Northeast Asia. This gradient pattern of genetic diversity is consistent with an assumed ancestral population of wild boar in Southeast Asia. Genetic evidences from a relationship tree and structure analysis suggest that wild boar in Jeju Island, South Korea have a distinct genetic background from those in mainland Korea. CONCLUSIONS: Our results reveal a diverse pattern of genetic diversity and the existence of genetic differentiation among wild boar populations inhabiting East Asia. This study highlights the potential contribution of genetic variation of wild boar to the high genetic diversity of local domestic pigs during domestication in East Asia.
49 schema:genre research_article
50 schema:inLanguage en
51 schema:isAccessibleForFree true
52 schema:isPartOf N583cc64c9b5e43f681ed4d71347be6fb
53 N6eef0804783b432dad037a49c874367c
54 sg:journal.1024251
55 schema:name Genetic structure of wild boar (Sus scrofa) populations from East Asia based on microsatellite loci analyses
56 schema:pagination 85
57 schema:productId N7508aaceddad4ac7a88eb502d96ead3b
58 N845d550137494abbb4a261bc63d46331
59 N89618daa08374864b9b51dd261198a63
60 Na115fad9f9174bc1b3c6398c35d4c736
61 Nb28dbf4a2f114507aebdd42d45e67082
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011777573
63 https://doi.org/10.1186/1471-2156-15-85
64 schema:sdDatePublished 2019-04-11T01:58
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher N42e6f04601b448d5b2b447bea38a6f50
67 schema:url http://link.springer.com/10.1186%2F1471-2156-15-85
68 sgo:license sg:explorer/license/
69 sgo:sdDataset articles
70 rdf:type schema:ScholarlyArticle
71 N06717e69b50643b8b236c314a23cdaed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Sus scrofa
73 rdf:type schema:DefinedTerm
74 N078f08def0f44d8ab99ae9d95f29d051 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Sequence Analysis, DNA
76 rdf:type schema:DefinedTerm
77 N0b5053d0b0364528bdf54040882c5000 rdf:first sg:person.012165504271.46
78 rdf:rest N9361fe3d0770430a9b0f85337c9f490c
79 N0bc7144b9c6549daa51d63b0a491555e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Genetic Variation
81 rdf:type schema:DefinedTerm
82 N1220ecb8fccf4dfbbe45ab94f5f953c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Cluster Analysis
84 rdf:type schema:DefinedTerm
85 N24667ce5e2d8471f97dfe026e69189e0 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
86 schema:familyName Lee
87 schema:givenName Ji-Eun
88 rdf:type schema:Person
89 N288828198a0944fc83c4eb36e59ece91 rdf:first sg:person.01131570355.58
90 rdf:rest rdf:nil
91 N42e6f04601b448d5b2b447bea38a6f50 schema:name Springer Nature - SN SciGraph project
92 rdf:type schema:Organization
93 N441c4d57619144779d315daddc739617 schema:name Lazovsky State Nature Reserve, Lazo, Primorsky Krai, Russia
94 rdf:type schema:Organization
95 N5222e6942ffd4c64b97fa0b9e20b7f56 schema:name Lazovsky State Nature Reserve, Lazo, Primorsky Krai, Russia
96 rdf:type schema:Organization
97 N53b92ecb60dd4ef4bd85921ff79c636f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Genetics, Population
99 rdf:type schema:DefinedTerm
100 N55ab2b862e814a46ba159d18d4684a6e rdf:first sg:person.01006331275.02
101 rdf:rest N8969052482d844f2b8e2a9b131d04e70
102 N583cc64c9b5e43f681ed4d71347be6fb schema:volumeNumber 15
103 rdf:type schema:PublicationVolume
104 N6eef0804783b432dad037a49c874367c schema:issueNumber 1
105 rdf:type schema:PublicationIssue
106 N7508aaceddad4ac7a88eb502d96ead3b schema:name readcube_id
107 schema:value 381d5e65ea37335980ba0708adef6c62660ec2ab3b0def63ebee2d73fe1c08b5
108 rdf:type schema:PropertyValue
109 N7d77ed81055348989497b5198968b735 schema:name Research Institute for Hallasan, Jeju Special Self-Governing Province, Jeju, Republic of Korea
110 rdf:type schema:Organization
111 N7e5ca922e5c14f8092ae5fba8b99cf17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Bayes Theorem
113 rdf:type schema:DefinedTerm
114 N845d550137494abbb4a261bc63d46331 schema:name nlm_unique_id
115 schema:value 100966978
116 rdf:type schema:PropertyValue
117 N89618daa08374864b9b51dd261198a63 schema:name pubmed_id
118 schema:value 25034725
119 rdf:type schema:PropertyValue
120 N8969052482d844f2b8e2a9b131d04e70 rdf:first sg:person.01142314757.76
121 rdf:rest Ne883d92ecbe643fab996ad438641c76e
122 N8a8a9515ffc24d06bedf7cfd09d9e421 rdf:first sg:person.01324656557.55
123 rdf:rest N288828198a0944fc83c4eb36e59ece91
124 N8d68ae5c0f654be39983c8e6de8eabcc rdf:first sg:person.01012270605.93
125 rdf:rest Nc4b826b59fa043eb9c2a566e3b0fb7bc
126 N9361fe3d0770430a9b0f85337c9f490c rdf:first sg:person.01214775665.53
127 rdf:rest Nec6e64052d0f4591b2e24b175b6ec56c
128 N9cb3138d4a854398889a47ec61b3939c rdf:first sg:person.0623767475.79
129 rdf:rest N55ab2b862e814a46ba159d18d4684a6e
130 Na115fad9f9174bc1b3c6398c35d4c736 schema:name dimensions_id
131 schema:value pub.1011777573
132 rdf:type schema:PropertyValue
133 Nb28dbf4a2f114507aebdd42d45e67082 schema:name doi
134 schema:value 10.1186/1471-2156-15-85
135 rdf:type schema:PropertyValue
136 Nb7534da8caf74b859d424249e6615273 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Microsatellite Repeats
138 rdf:type schema:DefinedTerm
139 Nbf1717e985c94b4b9d87d3e7c08651d6 rdf:first sg:person.01065655214.94
140 rdf:rest Ne6199d5f82f54a42b2f5c872aac7a3ca
141 Nc291e12dd6164e13a1cd21ca8f3a7866 rdf:first sg:person.01026066357.14
142 rdf:rest N9cb3138d4a854398889a47ec61b3939c
143 Nc4b826b59fa043eb9c2a566e3b0fb7bc rdf:first N24667ce5e2d8471f97dfe026e69189e0
144 rdf:rest Nc291e12dd6164e13a1cd21ca8f3a7866
145 Nc923ccd69fa4497299c65826d191c951 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Far East
147 rdf:type schema:DefinedTerm
148 Ncba5bb3ad5b34ec2b2daa14656a2bd83 rdf:first sg:person.0670451025.63
149 rdf:rest Nbf1717e985c94b4b9d87d3e7c08651d6
150 Nd195f24c2192432c86088fde135a9b95 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Animals
152 rdf:type schema:DefinedTerm
153 Ne6199d5f82f54a42b2f5c872aac7a3ca rdf:first sg:person.012314101114.25
154 rdf:rest N0b5053d0b0364528bdf54040882c5000
155 Ne883d92ecbe643fab996ad438641c76e rdf:first sg:person.0751426614.23
156 rdf:rest Ncba5bb3ad5b34ec2b2daa14656a2bd83
157 Nec6e64052d0f4591b2e24b175b6ec56c rdf:first sg:person.0714217763.14
158 rdf:rest N8a8a9515ffc24d06bedf7cfd09d9e421
159 Nf5e8c973170649888f7d126919642a6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Gene Flow
161 rdf:type schema:DefinedTerm
162 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
163 schema:name Biological Sciences
164 rdf:type schema:DefinedTerm
165 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
166 schema:name Genetics
167 rdf:type schema:DefinedTerm
168 sg:grant.7445081 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2156-15-85
169 rdf:type schema:MonetaryGrant
170 sg:journal.1024251 schema:issn 1471-2156
171 schema:name BMC Genetics
172 rdf:type schema:Periodical
173 sg:person.01006331275.02 schema:affiliation N5222e6942ffd4c64b97fa0b9e20b7f56
174 schema:familyName Voloshina
175 schema:givenName Inna
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006331275.02
177 rdf:type schema:Person
178 sg:person.01012270605.93 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
179 schema:familyName Choi
180 schema:givenName Sung Kyoung
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012270605.93
182 rdf:type schema:Person
183 sg:person.01026066357.14 schema:affiliation https://www.grid.ac/institutes/grid.496435.9
184 schema:familyName Kim
185 schema:givenName Young-Jun
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026066357.14
187 rdf:type schema:Person
188 sg:person.01065655214.94 schema:affiliation https://www.grid.ac/institutes/grid.426536.0
189 schema:familyName Markov
190 schema:givenName Nickolay
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065655214.94
192 rdf:type schema:Person
193 sg:person.01131570355.58 schema:affiliation https://www.grid.ac/institutes/grid.34421.30
194 schema:familyName Kim
195 schema:givenName Kyung Seok
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131570355.58
197 rdf:type schema:Person
198 sg:person.01142314757.76 schema:affiliation N441c4d57619144779d315daddc739617
199 schema:familyName Myslenkov
200 schema:givenName Alexander
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142314757.76
202 rdf:type schema:Person
203 sg:person.01214775665.53 schema:affiliation https://www.grid.ac/institutes/grid.440773.3
204 schema:familyName Yu
205 schema:givenName Li
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214775665.53
207 rdf:type schema:Person
208 sg:person.012165504271.46 schema:affiliation https://www.grid.ac/institutes/grid.256342.4
209 schema:familyName Ishiguro
210 schema:givenName Naotaka
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012165504271.46
212 rdf:type schema:Person
213 sg:person.012314101114.25 schema:affiliation https://www.grid.ac/institutes/grid.465394.9
214 schema:familyName Seryodkin
215 schema:givenName Ivan
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012314101114.25
217 rdf:type schema:Person
218 sg:person.01324656557.55 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
219 schema:familyName Lee
220 schema:givenName Hang
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324656557.55
222 rdf:type schema:Person
223 sg:person.0623767475.79 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
224 schema:familyName Min
225 schema:givenName Mi-Sook
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623767475.79
227 rdf:type schema:Person
228 sg:person.0670451025.63 schema:affiliation https://www.grid.ac/institutes/grid.420186.9
229 schema:familyName Kim
230 schema:givenName Tae-Hun
231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670451025.63
232 rdf:type schema:Person
233 sg:person.0714217763.14 schema:affiliation https://www.grid.ac/institutes/grid.419010.d
234 schema:familyName Zhang
235 schema:givenName Ya-Ping
236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714217763.14
237 rdf:type schema:Person
238 sg:person.0751426614.23 schema:affiliation N7d77ed81055348989497b5198968b735
239 schema:familyName Oh
240 schema:givenName Jang Geun
241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751426614.23
242 rdf:type schema:Person
243 sg:pub.10.1007/bf02300753 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015443395
244 https://doi.org/10.1007/bf02300753
245 rdf:type schema:CreativeWork
246 sg:pub.10.1007/s10059-009-0139-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007996939
247 https://doi.org/10.1007/s10059-009-0139-3
248 rdf:type schema:CreativeWork
249 sg:pub.10.1186/gb-2007-8-11-r245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015276280
250 https://doi.org/10.1186/gb-2007-8-11-r245
251 rdf:type schema:CreativeWork
252 sg:pub.10.1186/gb-2013-14-9-r107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046245701
253 https://doi.org/10.1186/gb-2013-14-9-r107
254 rdf:type schema:CreativeWork
255 https://app.dimensions.ai/details/publication/pub.1074616182 schema:CreativeWork
256 https://app.dimensions.ai/details/publication/pub.1074647594 schema:CreativeWork
257 https://app.dimensions.ai/details/publication/pub.1077357050 schema:CreativeWork
258 https://doi.org/10.1006/jhev.1999.0390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017702193
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1016/j.ympev.2009.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024662881
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1071/wr94075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032435325
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1073/pnas.0912264107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048693923
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1079/9781845937560.0014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089213307
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1093/bioinformatics/bts460 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026432648
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1093/ee/37.2.293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010728504
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1093/jhered/esq121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026745377
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1093/molbev/msp118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045146870
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1093/oxfordjournals.jhered.a111627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083620598
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1093/oxfordjournals.molbev.a040454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079752303
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1111/j.1365-2052.2010.02074.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021074270
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1111/j.1365-2699.2011.02636.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016449190
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1111/j.1365-294x.2005.02553.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045105386
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1111/j.1365-294x.2008.03703.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016476934
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1111/j.1471-8286.2005.01155.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052284706
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1111/jbi.12268 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012468288
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1126/science.1106927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062451356
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1371/journal.pone.0026416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024013123
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1371/journal.pone.0055891 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023063450
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1603/0046-225x(2008)37[293:acsomm]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013564879
299 rdf:type schema:CreativeWork
300 https://doi.org/10.2108/zsj.19.1329 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068909297
301 rdf:type schema:CreativeWork
302 https://doi.org/10.2307/1934145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069658363
303 rdf:type schema:CreativeWork
304 https://doi.org/10.2307/2409177 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069918127
305 rdf:type schema:CreativeWork
306 https://doi.org/10.5141/jefb.2006.29.3.253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031771862
307 rdf:type schema:CreativeWork
308 https://www.grid.ac/institutes/grid.256342.4 schema:alternateName Gifu University
309 schema:name Laboratory of Food and Environmental Hygiene, Veterinary Medicine, Gifu University, Gifu, Japan
310 rdf:type schema:Organization
311 https://www.grid.ac/institutes/grid.31501.36 schema:alternateName Seoul National University
312 schema:name College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea
313 rdf:type schema:Organization
314 https://www.grid.ac/institutes/grid.34421.30 schema:alternateName Iowa State University
315 schema:name College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea
316 Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA
317 rdf:type schema:Organization
318 https://www.grid.ac/institutes/grid.419010.d schema:alternateName Kunming Institute of Zoology
319 schema:name State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
320 rdf:type schema:Organization
321 https://www.grid.ac/institutes/grid.420186.9 schema:alternateName Rural Development Administration
322 schema:name Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration, Suwon, Gyeonggi-do, Republic of Korea
323 rdf:type schema:Organization
324 https://www.grid.ac/institutes/grid.426536.0 schema:alternateName Ural Branch of the Russian Academy of Sciences
325 schema:name Institute of Plant and Animal Ecology Urals Branch of Russian Academy of Sciences, Yekaterinburg, Russia
326 rdf:type schema:Organization
327 https://www.grid.ac/institutes/grid.440773.3 schema:alternateName Yunnan University
328 schema:name Laboratory for Conservation and Utilization of Bio-resource and Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming, China
329 rdf:type schema:Organization
330 https://www.grid.ac/institutes/grid.465394.9 schema:alternateName Pacific Institute of Geography, Far Eastern Branch of the Russian Academy of Sciences
331 schema:name Pacific Geographical Institute Far Eastern Branch of Russian Academy of Sciences, Vladivostok, Russia
332 rdf:type schema:Organization
333 https://www.grid.ac/institutes/grid.496435.9 schema:alternateName National Institute of Ecology
334 schema:name National Institute of Ecology, Seocheon-gun, Chungcheongnam-do, Republic of Korea
335 rdf:type schema:Organization
 




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


...