Comparative genomic analysis of Mycobacterium avium subspecies obtained from multiple host species View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-12

AUTHORS

Michael L Paustian, Xiaochun Zhu, Srinand Sreevatsan, Suelee Robbe-Austerman, Vivek Kapur, John P Bannantine

ABSTRACT

BACKGROUND: Mycobacterium avium (M. avium) subspecies vary widely in both pathogenicity and host specificity, but the genetic features contributing to this diversity remain unclear. RESULTS: A comparative genomic approach was used to identify large sequence polymorphisms among M. avium subspecies obtained from a variety of host animals. DNA microarrays were used as a platform for comparing mycobacterial isolates with the sequenced bovine isolate M. avium subsp. paratuberculosis (MAP) K-10. Open reading frames (ORFs) were classified as present or divergent based on the relative fluorescent intensities of the experimental samples compared to MAP K-10 DNA. Multiple large polymorphic regions were found in the genomes of MAP isolates obtained from sheep. One of these clusters encodes glycopeptidolipid biosynthesis enzymes which have not previously been identified in MAP. M. avium subsp. silvaticum isolates were observed to have a hybridization profile very similar to yet distinguishable from M. avium subsp. avium. Isolates obtained from cattle (n = 5), birds (n = 4), goats (n = 3), bison (n = 3), and humans (n = 9) were indistinguishable from cattle isolate MAP K-10. CONCLUSION: Genome diversity in M. avium subspecies appears to be mediated by large sequence polymorphisms that are commonly associated with mobile genetic elements. Subspecies and host adapted isolates of M. avium were distinguishable by the presence or absence of specific polymorphisms. More... »

PAGES

135

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2164-9-135

DOI

http://dx.doi.org/10.1186/1471-2164-9-135

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022205646

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18366709


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": "Genome, Bacterial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glycolipids", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glycopeptides", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mycobacterium avium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oligonucleotide Array Sequence Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, DNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sheep", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Species Specificity", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Agricultural Research Service", 
          "id": "https://www.grid.ac/institutes/grid.463419.d", 
          "name": [
            "National Animal Disease Center, USDA-ARS, Ames, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paustian", 
        "givenName": "Michael L", 
        "id": "sg:person.016456657547.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016456657547.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Center for Animal Health and Food Safety, University of Minnesota, St. Paul, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhu", 
        "givenName": "Xiaochun", 
        "id": "sg:person.0765321715.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765321715.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Center for Animal Health and Food Safety, University of Minnesota, St. Paul, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sreevatsan", 
        "givenName": "Srinand", 
        "id": "sg:person.01122222163.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122222163.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agricultural Research Service", 
          "id": "https://www.grid.ac/institutes/grid.463419.d", 
          "name": [
            "National Animal Disease Center, USDA-ARS, Ames, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Robbe-Austerman", 
        "givenName": "Suelee", 
        "id": "sg:person.01020215546.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020215546.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pennsylvania State University", 
          "id": "https://www.grid.ac/institutes/grid.29857.31", 
          "name": [
            "Department of Veterinary and Biomedical Sciences, Penn State University, University Park, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kapur", 
        "givenName": "Vivek", 
        "id": "sg:person.0631114411.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631114411.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agricultural Research Service", 
          "id": "https://www.grid.ac/institutes/grid.463419.d", 
          "name": [
            "National Animal Disease Center, USDA-ARS, Ames, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bannantine", 
        "givenName": "John P", 
        "id": "sg:person.01144102564.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144102564.37"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1073/pnas.0505662102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006045474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0505662102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006045474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0605728104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006939920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2958.1999.01383.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007039640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2003-4-2-r9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009465493", 
          "https://doi.org/10.1186/gb-2003-4-2-r9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tube.2005.08.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012693458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tube.2005.08.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012693458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.2134250100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014780374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.40.4.1303-1310.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015350729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.41.5.2015-2026.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015677815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015722031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/iai.71.10.6083-6087.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020127798"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.43.8.3704-3712.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021993676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.42.6.2675-2681.2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022160919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.44.3.881-887.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022376642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.186.18.6332-6334.2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022982829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0165-2427(98)00201-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023591192"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.42.4.1703-1712.2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023894978"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1989.tb03440.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024494945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1989.tb03440.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024494945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1189/jlb.1205702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024819829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mcp.2005.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025671628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mcp.2005.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025671628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tube.2006.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026918077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.188.2.711-723.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029838037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-8-60", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033579949", 
          "https://doi.org/10.1186/1471-2164-8-60"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.41.11.5215-5223.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034522602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tim.2006.03.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034735844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1991.tb04544.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035619850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1991.tb04544.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035619850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1991.tb04544.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035619850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/31159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035640914", 
          "https://doi.org/10.1038/31159"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/31159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035640914", 
          "https://doi.org/10.1038/31159"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1074-5521(02)00175-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039251860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1699-0463.1988.tb05265.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041351201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1699-0463.1988.tb05265.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041351201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.188.6.2290-2293.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042073892"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042969217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.187.7.2406-2415.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043455750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.micinf.2004.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045833687"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046553886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/25.17.3389", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047265454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1135(02)00292-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053171377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1135(02)00292-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053171377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0603179103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053199361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00207713-29-3-263", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060347329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00207713-40-3-254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060348462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00207713-52-5-1505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060350881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00221287-144-12-3413", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060369735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/mic.0.26528-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060396821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.8367727", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062654843"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074544770", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2144/03342mt01", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075245738"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078875682", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079052242", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079345446", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079345446", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079519914", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079730067", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082661893", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-12", 
    "datePublishedReg": "2008-12-01", 
    "description": "BACKGROUND: Mycobacterium avium (M. avium) subspecies vary widely in both pathogenicity and host specificity, but the genetic features contributing to this diversity remain unclear.\nRESULTS: A comparative genomic approach was used to identify large sequence polymorphisms among M. avium subspecies obtained from a variety of host animals. DNA microarrays were used as a platform for comparing mycobacterial isolates with the sequenced bovine isolate M. avium subsp. paratuberculosis (MAP) K-10. Open reading frames (ORFs) were classified as present or divergent based on the relative fluorescent intensities of the experimental samples compared to MAP K-10 DNA. Multiple large polymorphic regions were found in the genomes of MAP isolates obtained from sheep. One of these clusters encodes glycopeptidolipid biosynthesis enzymes which have not previously been identified in MAP. M. avium subsp. silvaticum isolates were observed to have a hybridization profile very similar to yet distinguishable from M. avium subsp. avium. Isolates obtained from cattle (n = 5), birds (n = 4), goats (n = 3), bison (n = 3), and humans (n = 9) were indistinguishable from cattle isolate MAP K-10.\nCONCLUSION: Genome diversity in M. avium subspecies appears to be mediated by large sequence polymorphisms that are commonly associated with mobile genetic elements. Subspecies and host adapted isolates of M. avium were distinguishable by the presence or absence of specific polymorphisms.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2164-9-135", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1023790", 
        "issn": [
          "1471-2164"
        ], 
        "name": "BMC Genomics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Comparative genomic analysis of Mycobacterium avium subspecies obtained from multiple host species", 
    "pagination": "135", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "69cb435d5c0e46eb8f45604bb9decae2570cd28c8c92210f73b76d973513903e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "18366709"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100965258"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2164-9-135"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1022205646"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2164-9-135", 
      "https://app.dimensions.ai/details/publication/pub.1022205646"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:07", 
    "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_8660_00000505.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2164-9-135"
  }
]
 

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.10.1186/1471-2164-9-135'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-9-135'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-9-135'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-9-135'


 

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

303 TRIPLES      21 PREDICATES      91 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2164-9-135 schema:about N0f0dda7e023441abaf5b07e167aa71d1
2 N13da89e82ec1466b98bab642ddb59e5e
3 N2c872c47fb2044aa8516d4dbde5c771e
4 N2d835b51034d4bd69e267d9c44232fe8
5 N2dd86cccfb5d4607bb385e3baf28c2b5
6 N3486709ea0744b4fb5bb21b256381b0c
7 N4404c5795c654a6ca7659ba27e603417
8 N444c4781871d47b0bf85ad1ab9e455f2
9 N5dbae780d51a4051bafa02d5da800fe8
10 N790b7a3ccde04a99a373c4de586045c5
11 N8a455e05e0e74780b6e4273427917b64
12 N95c8317bb5094b79a4315e800df5c4f3
13 anzsrc-for:06
14 anzsrc-for:0604
15 schema:author N03734c0162484407badfa9ccc1aff95b
16 schema:citation sg:pub.10.1038/31159
17 sg:pub.10.1186/1471-2164-8-60
18 sg:pub.10.1186/gb-2003-4-2-r9
19 https://app.dimensions.ai/details/publication/pub.1074544770
20 https://app.dimensions.ai/details/publication/pub.1078875682
21 https://app.dimensions.ai/details/publication/pub.1079052242
22 https://app.dimensions.ai/details/publication/pub.1079345446
23 https://app.dimensions.ai/details/publication/pub.1079519914
24 https://app.dimensions.ai/details/publication/pub.1079730067
25 https://app.dimensions.ai/details/publication/pub.1082661893
26 https://doi.org/10.1016/j.mcp.2005.06.005
27 https://doi.org/10.1016/j.micinf.2004.11.007
28 https://doi.org/10.1016/j.tim.2006.03.002
29 https://doi.org/10.1016/j.tube.2005.08.010
30 https://doi.org/10.1016/j.tube.2006.11.002
31 https://doi.org/10.1016/s0165-2427(98)00201-3
32 https://doi.org/10.1016/s0378-1135(02)00292-4
33 https://doi.org/10.1016/s1074-5521(02)00175-8
34 https://doi.org/10.1046/j.1365-2958.1999.01383.x
35 https://doi.org/10.1073/pnas.0505662102
36 https://doi.org/10.1073/pnas.0603179103
37 https://doi.org/10.1073/pnas.0605728104
38 https://doi.org/10.1073/pnas.2134250100
39 https://doi.org/10.1093/bioinformatics/bth137
40 https://doi.org/10.1093/bioinformatics/bth159
41 https://doi.org/10.1093/bioinformatics/bth349
42 https://doi.org/10.1093/nar/25.17.3389
43 https://doi.org/10.1099/00207713-29-3-263
44 https://doi.org/10.1099/00207713-40-3-254
45 https://doi.org/10.1099/00207713-52-5-1505
46 https://doi.org/10.1099/00221287-144-12-3413
47 https://doi.org/10.1099/mic.0.26528-0
48 https://doi.org/10.1111/j.1574-6968.1989.tb03440.x
49 https://doi.org/10.1111/j.1574-6968.1991.tb04544.x
50 https://doi.org/10.1111/j.1699-0463.1988.tb05265.x
51 https://doi.org/10.1126/science.8367727
52 https://doi.org/10.1128/iai.71.10.6083-6087.2003
53 https://doi.org/10.1128/jb.186.18.6332-6334.2004
54 https://doi.org/10.1128/jb.187.7.2406-2415.2005
55 https://doi.org/10.1128/jb.188.2.711-723.2006
56 https://doi.org/10.1128/jb.188.6.2290-2293.2006
57 https://doi.org/10.1128/jcm.40.4.1303-1310.2002
58 https://doi.org/10.1128/jcm.41.11.5215-5223.2003
59 https://doi.org/10.1128/jcm.41.5.2015-2026.2003
60 https://doi.org/10.1128/jcm.42.4.1703-1712.2004
61 https://doi.org/10.1128/jcm.42.6.2675-2681.2004
62 https://doi.org/10.1128/jcm.43.8.3704-3712.2005
63 https://doi.org/10.1128/jcm.44.3.881-887.2006
64 https://doi.org/10.1189/jlb.1205702
65 https://doi.org/10.2144/03342mt01
66 schema:datePublished 2008-12
67 schema:datePublishedReg 2008-12-01
68 schema:description BACKGROUND: Mycobacterium avium (M. avium) subspecies vary widely in both pathogenicity and host specificity, but the genetic features contributing to this diversity remain unclear. RESULTS: A comparative genomic approach was used to identify large sequence polymorphisms among M. avium subspecies obtained from a variety of host animals. DNA microarrays were used as a platform for comparing mycobacterial isolates with the sequenced bovine isolate M. avium subsp. paratuberculosis (MAP) K-10. Open reading frames (ORFs) were classified as present or divergent based on the relative fluorescent intensities of the experimental samples compared to MAP K-10 DNA. Multiple large polymorphic regions were found in the genomes of MAP isolates obtained from sheep. One of these clusters encodes glycopeptidolipid biosynthesis enzymes which have not previously been identified in MAP. M. avium subsp. silvaticum isolates were observed to have a hybridization profile very similar to yet distinguishable from M. avium subsp. avium. Isolates obtained from cattle (n = 5), birds (n = 4), goats (n = 3), bison (n = 3), and humans (n = 9) were indistinguishable from cattle isolate MAP K-10. CONCLUSION: Genome diversity in M. avium subspecies appears to be mediated by large sequence polymorphisms that are commonly associated with mobile genetic elements. Subspecies and host adapted isolates of M. avium were distinguishable by the presence or absence of specific polymorphisms.
69 schema:genre research_article
70 schema:inLanguage en
71 schema:isAccessibleForFree true
72 schema:isPartOf N1a607ee25b094e48a5d23e871031f082
73 Ncf7073a7ed0642fe8f332569f86b90a7
74 sg:journal.1023790
75 schema:name Comparative genomic analysis of Mycobacterium avium subspecies obtained from multiple host species
76 schema:pagination 135
77 schema:productId N12572f827ee446b185282d8eae2fc32b
78 N23ffdfc94fe44be69f02f77612350f9c
79 N8c570761b3294269a2564350a3708a89
80 Ndff47d9cd4fa4936a60ea0bd3bb71558
81 Nfe9d0dba140f4a13a7bd58813c863717
82 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022205646
83 https://doi.org/10.1186/1471-2164-9-135
84 schema:sdDatePublished 2019-04-10T14:07
85 schema:sdLicense https://scigraph.springernature.com/explorer/license/
86 schema:sdPublisher N4f25409bd9204c45b5aa59b46eeccbb3
87 schema:url http://link.springer.com/10.1186%2F1471-2164-9-135
88 sgo:license sg:explorer/license/
89 sgo:sdDataset articles
90 rdf:type schema:ScholarlyArticle
91 N03734c0162484407badfa9ccc1aff95b rdf:first sg:person.016456657547.45
92 rdf:rest Nec14d7da461e47cbbe6d8e59ed0c9497
93 N0f0dda7e023441abaf5b07e167aa71d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Animals
95 rdf:type schema:DefinedTerm
96 N12572f827ee446b185282d8eae2fc32b schema:name readcube_id
97 schema:value 69cb435d5c0e46eb8f45604bb9decae2570cd28c8c92210f73b76d973513903e
98 rdf:type schema:PropertyValue
99 N13da89e82ec1466b98bab642ddb59e5e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Glycopeptides
101 rdf:type schema:DefinedTerm
102 N1a607ee25b094e48a5d23e871031f082 schema:issueNumber 1
103 rdf:type schema:PublicationIssue
104 N23ffdfc94fe44be69f02f77612350f9c schema:name nlm_unique_id
105 schema:value 100965258
106 rdf:type schema:PropertyValue
107 N2c872c47fb2044aa8516d4dbde5c771e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Humans
109 rdf:type schema:DefinedTerm
110 N2d835b51034d4bd69e267d9c44232fe8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Mycobacterium avium
112 rdf:type schema:DefinedTerm
113 N2dd86cccfb5d4607bb385e3baf28c2b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Genome, Bacterial
115 rdf:type schema:DefinedTerm
116 N3486709ea0744b4fb5bb21b256381b0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Species Specificity
118 rdf:type schema:DefinedTerm
119 N3bf47af6f82b435fb572752f1feb1b94 rdf:first sg:person.0631114411.35
120 rdf:rest N79e3371285cd4aad9e1ca4d0ba7719f6
121 N4404c5795c654a6ca7659ba27e603417 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Glycolipids
123 rdf:type schema:DefinedTerm
124 N444c4781871d47b0bf85ad1ab9e455f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Oligonucleotide Array Sequence Analysis
126 rdf:type schema:DefinedTerm
127 N4f25409bd9204c45b5aa59b46eeccbb3 schema:name Springer Nature - SN SciGraph project
128 rdf:type schema:Organization
129 N5dbae780d51a4051bafa02d5da800fe8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Genomics
131 rdf:type schema:DefinedTerm
132 N790b7a3ccde04a99a373c4de586045c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Sheep
134 rdf:type schema:DefinedTerm
135 N79e3371285cd4aad9e1ca4d0ba7719f6 rdf:first sg:person.01144102564.37
136 rdf:rest rdf:nil
137 N8a455e05e0e74780b6e4273427917b64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Sequence Analysis, DNA
139 rdf:type schema:DefinedTerm
140 N8c570761b3294269a2564350a3708a89 schema:name dimensions_id
141 schema:value pub.1022205646
142 rdf:type schema:PropertyValue
143 N95c8317bb5094b79a4315e800df5c4f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Polymorphism, Genetic
145 rdf:type schema:DefinedTerm
146 N9e2c23cf53bf4115b7821dca1ab4c83f rdf:first sg:person.01122222163.99
147 rdf:rest Na34809333fd64cb697e18a49edabd128
148 Na34809333fd64cb697e18a49edabd128 rdf:first sg:person.01020215546.40
149 rdf:rest N3bf47af6f82b435fb572752f1feb1b94
150 Ncf7073a7ed0642fe8f332569f86b90a7 schema:volumeNumber 9
151 rdf:type schema:PublicationVolume
152 Ndff47d9cd4fa4936a60ea0bd3bb71558 schema:name doi
153 schema:value 10.1186/1471-2164-9-135
154 rdf:type schema:PropertyValue
155 Nec14d7da461e47cbbe6d8e59ed0c9497 rdf:first sg:person.0765321715.23
156 rdf:rest N9e2c23cf53bf4115b7821dca1ab4c83f
157 Nfe9d0dba140f4a13a7bd58813c863717 schema:name pubmed_id
158 schema:value 18366709
159 rdf:type schema:PropertyValue
160 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
161 schema:name Biological Sciences
162 rdf:type schema:DefinedTerm
163 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
164 schema:name Genetics
165 rdf:type schema:DefinedTerm
166 sg:journal.1023790 schema:issn 1471-2164
167 schema:name BMC Genomics
168 rdf:type schema:Periodical
169 sg:person.01020215546.40 schema:affiliation https://www.grid.ac/institutes/grid.463419.d
170 schema:familyName Robbe-Austerman
171 schema:givenName Suelee
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020215546.40
173 rdf:type schema:Person
174 sg:person.01122222163.99 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
175 schema:familyName Sreevatsan
176 schema:givenName Srinand
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122222163.99
178 rdf:type schema:Person
179 sg:person.01144102564.37 schema:affiliation https://www.grid.ac/institutes/grid.463419.d
180 schema:familyName Bannantine
181 schema:givenName John P
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144102564.37
183 rdf:type schema:Person
184 sg:person.016456657547.45 schema:affiliation https://www.grid.ac/institutes/grid.463419.d
185 schema:familyName Paustian
186 schema:givenName Michael L
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016456657547.45
188 rdf:type schema:Person
189 sg:person.0631114411.35 schema:affiliation https://www.grid.ac/institutes/grid.29857.31
190 schema:familyName Kapur
191 schema:givenName Vivek
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631114411.35
193 rdf:type schema:Person
194 sg:person.0765321715.23 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
195 schema:familyName Zhu
196 schema:givenName Xiaochun
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765321715.23
198 rdf:type schema:Person
199 sg:pub.10.1038/31159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035640914
200 https://doi.org/10.1038/31159
201 rdf:type schema:CreativeWork
202 sg:pub.10.1186/1471-2164-8-60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033579949
203 https://doi.org/10.1186/1471-2164-8-60
204 rdf:type schema:CreativeWork
205 sg:pub.10.1186/gb-2003-4-2-r9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009465493
206 https://doi.org/10.1186/gb-2003-4-2-r9
207 rdf:type schema:CreativeWork
208 https://app.dimensions.ai/details/publication/pub.1074544770 schema:CreativeWork
209 https://app.dimensions.ai/details/publication/pub.1078875682 schema:CreativeWork
210 https://app.dimensions.ai/details/publication/pub.1079052242 schema:CreativeWork
211 https://app.dimensions.ai/details/publication/pub.1079345446 schema:CreativeWork
212 https://app.dimensions.ai/details/publication/pub.1079519914 schema:CreativeWork
213 https://app.dimensions.ai/details/publication/pub.1079730067 schema:CreativeWork
214 https://app.dimensions.ai/details/publication/pub.1082661893 schema:CreativeWork
215 https://doi.org/10.1016/j.mcp.2005.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025671628
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/j.micinf.2004.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045833687
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/j.tim.2006.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034735844
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/j.tube.2005.08.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012693458
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/j.tube.2006.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026918077
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/s0165-2427(98)00201-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023591192
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/s0378-1135(02)00292-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053171377
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/s1074-5521(02)00175-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039251860
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1046/j.1365-2958.1999.01383.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007039640
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1073/pnas.0505662102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006045474
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1073/pnas.0603179103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053199361
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1073/pnas.0605728104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006939920
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1073/pnas.2134250100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014780374
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1093/bioinformatics/bth137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046553886
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1093/bioinformatics/bth159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042969217
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1093/bioinformatics/bth349 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015722031
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1093/nar/25.17.3389 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047265454
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1099/00207713-29-3-263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060347329
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1099/00207713-40-3-254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060348462
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1099/00207713-52-5-1505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060350881
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1099/00221287-144-12-3413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060369735
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1099/mic.0.26528-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060396821
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1111/j.1574-6968.1989.tb03440.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024494945
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1111/j.1574-6968.1991.tb04544.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035619850
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1111/j.1699-0463.1988.tb05265.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041351201
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1126/science.8367727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062654843
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1128/iai.71.10.6083-6087.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020127798
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1128/jb.186.18.6332-6334.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022982829
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1128/jb.187.7.2406-2415.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043455750
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1128/jb.188.2.711-723.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029838037
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1128/jb.188.6.2290-2293.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042073892
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1128/jcm.40.4.1303-1310.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015350729
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1128/jcm.41.11.5215-5223.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034522602
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1128/jcm.41.5.2015-2026.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015677815
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1128/jcm.42.4.1703-1712.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023894978
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1128/jcm.42.6.2675-2681.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022160919
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1128/jcm.43.8.3704-3712.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021993676
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1128/jcm.44.3.881-887.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022376642
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1189/jlb.1205702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024819829
292 rdf:type schema:CreativeWork
293 https://doi.org/10.2144/03342mt01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075245738
294 rdf:type schema:CreativeWork
295 https://www.grid.ac/institutes/grid.17635.36 schema:alternateName University of Minnesota
296 schema:name Center for Animal Health and Food Safety, University of Minnesota, St. Paul, USA
297 rdf:type schema:Organization
298 https://www.grid.ac/institutes/grid.29857.31 schema:alternateName Pennsylvania State University
299 schema:name Department of Veterinary and Biomedical Sciences, Penn State University, University Park, USA
300 rdf:type schema:Organization
301 https://www.grid.ac/institutes/grid.463419.d schema:alternateName Agricultural Research Service
302 schema:name National Animal Disease Center, USDA-ARS, Ames, USA
303 rdf:type schema:Organization
 




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


...