Expansion of the Bactericidal/Permeability Increasing-like (BPI-like) protein locus in cattle View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-12

AUTHORS

Thomas T Wheeler, Kylie A Hood, Nauman J Maqbool, John C McEwan, Colin D Bingle, Shaying Zhao

ABSTRACT

BACKGROUND: Cattle and other ruminants have evolved the ability to derive most of their metabolic energy requirement from otherwise indigestible plant matter through a symbiotic relationship with plant fibre degrading microbes within a specialised fermentation chamber, the rumen. The genetic changes underlying the evolution of the ruminant lifestyle are poorly understood. The BPI-like locus encodes several putative innate immune proteins, expressed predominantly in the oral cavity and airways, which are structurally related to Bactericidal/Permeability Increasing protein (BPI). We have previously reported the expression of variant BPI-like proteins in cattle (Biochim Biophys Acta 2002, 1579, 92-100). Characterisation of the BPI-like locus in cattle would lead to a better understanding of the role of the BPI-like proteins in cattle physiology RESULTS: We have sequenced and characterised a 722 kbp segment of BTA13 containing the bovine BPI-like protein locus. Nine of the 13 contiguous BPI-like genes in the locus in cattle are orthologous to genes in the human and mouse locus, and are thought to play a role in host defence. Phylogenetic analysis indicates the remaining four genes, which we have named BSP30A, BSP30B, BSP30C and BSP30D, appear to have arisen in cattle through a series of duplications. The transcripts of the four BSP30 genes are most abundant in tissues associated with the oral cavity and airways. BSP30C transcripts are also found in the abomasum. This, as well as the ratios of non-synonymous to synonymous differences between pairs of the BSP30 genes, is consistent with at least BSP30C having acquired a distinct function from the other BSP30 proteins and from its paralog in human and mouse, parotid secretory protein (PSP). CONCLUSION: The BPI-like locus in mammals appears to have evolved rapidly through multiple gene duplication events, and is thus a hot spot for genome evolution. It is possible that BSP30 gene duplication is a characteristic feature of ruminants and that the BSP30 proteins contribute to an aspect of ruminant-specific physiology. More... »

PAGES

75

References to SciGraph publications

  • 1981-02. COMPOSITION OF SALIVA IN MAMMALIA in IMMUNOLOGY AND CELL BIOLOGY
  • 2005-12. Automated generation of heuristics for biological sequence comparison in BMC BIOINFORMATICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2164-8-75

    DOI

    http://dx.doi.org/10.1186/1471-2164-8-75

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1048269645

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/17362520


    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": "Antimicrobial Cationic Peptides", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Blood Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Carrier Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cattle", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Evolution, Molecular", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Duplication", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Membrane Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mice", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Molecular", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phylogeny", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Alignment", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Analysis, DNA", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Homology, Nucleic Acid", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Dairy Science and Technology Section, AgResearch Ruakura, Private Bag 3123, Hamilton, New Zealand"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wheeler", 
            "givenName": "Thomas T", 
            "id": "sg:person.015506030602.33", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015506030602.33"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wakefield Hospital", 
              "id": "https://www.grid.ac/institutes/grid.416918.3", 
              "name": [
                "Dairy Science and Technology Section, AgResearch Ruakura, Private Bag 3123, Hamilton, New Zealand", 
                "Wakefield Gastroenterology Centre, Wakefield Hospital, Private Bag 7909, Wellington, New Zealand"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hood", 
            "givenName": "Kylie A", 
            "id": "sg:person.0725346273.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725346273.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Bioinformatics, Mathematics & Statistics Section, Invermay, Private Bag 50034, Mosgiel, New Zealand"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Maqbool", 
            "givenName": "Nauman J", 
            "id": "sg:person.01152237255.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152237255.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "AgResearch (New Zealand)", 
              "id": "https://www.grid.ac/institutes/grid.417738.e", 
              "name": [
                "Animal Genomics Section, AgResearch, Invermay, Private Bag 50034, Mosgiel, New Zealand"
              ], 
              "type": "Organization"
            }, 
            "familyName": "McEwan", 
            "givenName": "John C", 
            "id": "sg:person.01111543162.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01111543162.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Sheffield", 
              "id": "https://www.grid.ac/institutes/grid.11835.3e", 
              "name": [
                "Academic Unit of Respiratory Medicine, Division of Genomic Medicine, The University of Sheffield Medical School, M117, Royal Hallamshire Hospital Sheffield, S10 2JF, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bingle", 
            "givenName": "Colin D", 
            "id": "sg:person.0667373666.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667373666.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Georgia", 
              "id": "https://www.grid.ac/institutes/grid.213876.9", 
              "name": [
                "Department of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, Georgia, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhao", 
            "givenName": "Shaying", 
            "id": "sg:person.015745603421.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015745603421.36"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0167-4781(02)00508-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001013724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.97.7.3319", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002054642"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biocel.2004.05.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003694650"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0167-4781(00)00196-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004979905"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.104.031153", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005360660"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.104.031153", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005360660"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/icb.1981.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006830785", 
              "https://doi.org/10.1038/icb.1981.1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2052.1996.tb00507.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007592125"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.90.21.9935", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009368891"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/msi097", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009754204"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bbapap.2004.01.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010275415"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1110/ps.03332704", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010308863"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-31", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010551629", 
              "https://doi.org/10.1186/1471-2105-6-31"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-31", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010551629", 
              "https://doi.org/10.1186/1471-2105-6-31"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/1522-2683(200105)22:9<1795::aid-elps1795>3.0.co;2-j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010793900"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/18.12.1703", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010921709"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.it.2003.11.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012165218"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/17.12.1093", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012655733"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bti310", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015580011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/bbrc.2001.5024", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020888229"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00041433-200006000-00009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021195816"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00041433-200006000-00009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021195816"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/378594", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027335487"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/378594", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027335487"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/jmbi.1997.0951", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028174721"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/bst0310815", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031050163"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/bst0310815", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031050163"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0966-842x(94)90449-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031708319"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0966-842x(94)90449-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031708319"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/path.1726", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034290222"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.81.7.1991", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034589758"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/oxfordjournals.molbev.a025808", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035839794"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/13.5.555", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036075858"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/bst0310781", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037041436"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/bst0310781", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037041436"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ygeno.2003.09.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039027098"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/11.8.937", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040534180"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/g04-075", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048271718"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0378-1119(98)00177-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048564311"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/bst0220080", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048851839"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/bst0220080", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048851839"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/oxfordjournals.molbev.a026236", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050352635"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/10635150390235520", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058369386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1061217", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062445088"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.276.5320.1861", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062557083"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074632806", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.195301", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074949085"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1079749641", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1080467858", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1159/000394196", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1080467858"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082794727", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2007-12", 
        "datePublishedReg": "2007-12-01", 
        "description": "BACKGROUND: Cattle and other ruminants have evolved the ability to derive most of their metabolic energy requirement from otherwise indigestible plant matter through a symbiotic relationship with plant fibre degrading microbes within a specialised fermentation chamber, the rumen. The genetic changes underlying the evolution of the ruminant lifestyle are poorly understood. The BPI-like locus encodes several putative innate immune proteins, expressed predominantly in the oral cavity and airways, which are structurally related to Bactericidal/Permeability Increasing protein (BPI). We have previously reported the expression of variant BPI-like proteins in cattle (Biochim Biophys Acta 2002, 1579, 92-100). Characterisation of the BPI-like locus in cattle would lead to a better understanding of the role of the BPI-like proteins in cattle physiology\nRESULTS: We have sequenced and characterised a 722 kbp segment of BTA13 containing the bovine BPI-like protein locus. Nine of the 13 contiguous BPI-like genes in the locus in cattle are orthologous to genes in the human and mouse locus, and are thought to play a role in host defence. Phylogenetic analysis indicates the remaining four genes, which we have named BSP30A, BSP30B, BSP30C and BSP30D, appear to have arisen in cattle through a series of duplications. The transcripts of the four BSP30 genes are most abundant in tissues associated with the oral cavity and airways. BSP30C transcripts are also found in the abomasum. This, as well as the ratios of non-synonymous to synonymous differences between pairs of the BSP30 genes, is consistent with at least BSP30C having acquired a distinct function from the other BSP30 proteins and from its paralog in human and mouse, parotid secretory protein (PSP).\nCONCLUSION: The BPI-like locus in mammals appears to have evolved rapidly through multiple gene duplication events, and is thus a hot spot for genome evolution. It is possible that BSP30 gene duplication is a characteristic feature of ruminants and that the BSP30 proteins contribute to an aspect of ruminant-specific physiology.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/1471-2164-8-75", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1023790", 
            "issn": [
              "1471-2164"
            ], 
            "name": "BMC Genomics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "8"
          }
        ], 
        "name": "Expansion of the Bactericidal/Permeability Increasing-like (BPI-like) protein locus in cattle", 
        "pagination": "75", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "e5f33d73cc88022dcc1de5c6773a868406bd714feabb0b1c8c30b7a1a9b1e129"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "17362520"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100965258"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/1471-2164-8-75"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1048269645"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/1471-2164-8-75", 
          "https://app.dimensions.ai/details/publication/pub.1048269645"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T01:59", 
        "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_00000508.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2F1471-2164-8-75"
      }
    ]
     

    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.10.1186/1471-2164-8-75'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-8-75'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-8-75'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-8-75'


     

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

    308 TRIPLES      21 PREDICATES      88 URIs      37 LITERALS      25 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/1471-2164-8-75 schema:about N03ca313ccfe04ee282a3bd82e7619566
    2 N09b360991f0f4657a68203491cade5c2
    3 N0d320e934ce84f6095987aa26b6a3651
    4 N135fd996e7854fb9995c46285b88cab9
    5 N4c6892b63bec4fa19940e2f8139a3283
    6 N76588c9335294168971db74e469f15e2
    7 N79bfef1ce1c14677ae072cb163318257
    8 N7d8b5ff1b8974eea828efee1379ae56a
    9 N7f0b161cce6e4372ac9ecb2ed6f0fbdf
    10 N97b9e45be8bb47fe89157814ea167ee7
    11 N9ef3c1eeff9840689f3ef1a683af63cd
    12 Na331fa803bac40c49b279b1242e0e188
    13 Nbf822c3265524510aee953a4a5a30dcf
    14 Nc9ebeec5a0304c0ca8db5c70ec569108
    15 Nd0c27f2f99714af79c7e221df7e95f8a
    16 Ndeaf52b09bc843a2a8a53d101e919a98
    17 anzsrc-for:06
    18 anzsrc-for:0604
    19 schema:author Nf1bdd4ceffa8400b8c9f4cd34e99eb4f
    20 schema:citation sg:pub.10.1038/icb.1981.1
    21 sg:pub.10.1186/1471-2105-6-31
    22 https://app.dimensions.ai/details/publication/pub.1074632806
    23 https://app.dimensions.ai/details/publication/pub.1079749641
    24 https://app.dimensions.ai/details/publication/pub.1080467858
    25 https://app.dimensions.ai/details/publication/pub.1082794727
    26 https://doi.org/10.1002/1522-2683(200105)22:9<1795::aid-elps1795>3.0.co;2-j
    27 https://doi.org/10.1002/path.1726
    28 https://doi.org/10.1006/bbrc.2001.5024
    29 https://doi.org/10.1006/jmbi.1997.0951
    30 https://doi.org/10.1016/0966-842x(94)90449-9
    31 https://doi.org/10.1016/j.bbapap.2004.01.001
    32 https://doi.org/10.1016/j.biocel.2004.05.002
    33 https://doi.org/10.1016/j.it.2003.11.007
    34 https://doi.org/10.1016/j.ygeno.2003.09.015
    35 https://doi.org/10.1016/s0167-4781(00)00196-2
    36 https://doi.org/10.1016/s0167-4781(02)00508-0
    37 https://doi.org/10.1016/s0378-1119(98)00177-2
    38 https://doi.org/10.1042/bst0220080
    39 https://doi.org/10.1042/bst0310781
    40 https://doi.org/10.1042/bst0310815
    41 https://doi.org/10.1073/pnas.81.7.1991
    42 https://doi.org/10.1073/pnas.90.21.9935
    43 https://doi.org/10.1073/pnas.97.7.3319
    44 https://doi.org/10.1080/10635150390235520
    45 https://doi.org/10.1086/378594
    46 https://doi.org/10.1093/bioinformatics/13.5.555
    47 https://doi.org/10.1093/bioinformatics/17.12.1093
    48 https://doi.org/10.1093/bioinformatics/18.12.1703
    49 https://doi.org/10.1093/bioinformatics/bti310
    50 https://doi.org/10.1093/hmg/11.8.937
    51 https://doi.org/10.1093/molbev/msi097
    52 https://doi.org/10.1093/oxfordjournals.molbev.a025808
    53 https://doi.org/10.1093/oxfordjournals.molbev.a026236
    54 https://doi.org/10.1097/00041433-200006000-00009
    55 https://doi.org/10.1101/gr.195301
    56 https://doi.org/10.1110/ps.03332704
    57 https://doi.org/10.1111/j.1365-2052.1996.tb00507.x
    58 https://doi.org/10.1126/science.1061217
    59 https://doi.org/10.1126/science.276.5320.1861
    60 https://doi.org/10.1139/g04-075
    61 https://doi.org/10.1159/000394196
    62 https://doi.org/10.1534/genetics.104.031153
    63 schema:datePublished 2007-12
    64 schema:datePublishedReg 2007-12-01
    65 schema:description BACKGROUND: Cattle and other ruminants have evolved the ability to derive most of their metabolic energy requirement from otherwise indigestible plant matter through a symbiotic relationship with plant fibre degrading microbes within a specialised fermentation chamber, the rumen. The genetic changes underlying the evolution of the ruminant lifestyle are poorly understood. The BPI-like locus encodes several putative innate immune proteins, expressed predominantly in the oral cavity and airways, which are structurally related to Bactericidal/Permeability Increasing protein (BPI). We have previously reported the expression of variant BPI-like proteins in cattle (Biochim Biophys Acta 2002, 1579, 92-100). Characterisation of the BPI-like locus in cattle would lead to a better understanding of the role of the BPI-like proteins in cattle physiology RESULTS: We have sequenced and characterised a 722 kbp segment of BTA13 containing the bovine BPI-like protein locus. Nine of the 13 contiguous BPI-like genes in the locus in cattle are orthologous to genes in the human and mouse locus, and are thought to play a role in host defence. Phylogenetic analysis indicates the remaining four genes, which we have named BSP30A, BSP30B, BSP30C and BSP30D, appear to have arisen in cattle through a series of duplications. The transcripts of the four BSP30 genes are most abundant in tissues associated with the oral cavity and airways. BSP30C transcripts are also found in the abomasum. This, as well as the ratios of non-synonymous to synonymous differences between pairs of the BSP30 genes, is consistent with at least BSP30C having acquired a distinct function from the other BSP30 proteins and from its paralog in human and mouse, parotid secretory protein (PSP). CONCLUSION: The BPI-like locus in mammals appears to have evolved rapidly through multiple gene duplication events, and is thus a hot spot for genome evolution. It is possible that BSP30 gene duplication is a characteristic feature of ruminants and that the BSP30 proteins contribute to an aspect of ruminant-specific physiology.
    66 schema:genre research_article
    67 schema:inLanguage en
    68 schema:isAccessibleForFree true
    69 schema:isPartOf Na6f24e255f484a169ef3f2642f73c12a
    70 Nf916b19249f74da1bd79f5206bda57eb
    71 sg:journal.1023790
    72 schema:name Expansion of the Bactericidal/Permeability Increasing-like (BPI-like) protein locus in cattle
    73 schema:pagination 75
    74 schema:productId N055bf4211c0d412ca3715d45ef4a4450
    75 N2084e641385b489fa9af2f59604c1dcc
    76 N67bce527c2f341a09063f872f6aa6f95
    77 N867898b9dbb04e8fa9ea0f5ee229a3ee
    78 N8972ec34452743bf9a687503cbd20f17
    79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048269645
    80 https://doi.org/10.1186/1471-2164-8-75
    81 schema:sdDatePublished 2019-04-11T01:59
    82 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    83 schema:sdPublisher N0656303034754ad9a4aaececc0cbfb11
    84 schema:url http://link.springer.com/10.1186%2F1471-2164-8-75
    85 sgo:license sg:explorer/license/
    86 sgo:sdDataset articles
    87 rdf:type schema:ScholarlyArticle
    88 N03ca313ccfe04ee282a3bd82e7619566 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    89 schema:name Carrier Proteins
    90 rdf:type schema:DefinedTerm
    91 N055bf4211c0d412ca3715d45ef4a4450 schema:name readcube_id
    92 schema:value e5f33d73cc88022dcc1de5c6773a868406bd714feabb0b1c8c30b7a1a9b1e129
    93 rdf:type schema:PropertyValue
    94 N0656303034754ad9a4aaececc0cbfb11 schema:name Springer Nature - SN SciGraph project
    95 rdf:type schema:Organization
    96 N09b360991f0f4657a68203491cade5c2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    97 schema:name Gene Duplication
    98 rdf:type schema:DefinedTerm
    99 N0d320e934ce84f6095987aa26b6a3651 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    100 schema:name Phylogeny
    101 rdf:type schema:DefinedTerm
    102 N135fd996e7854fb9995c46285b88cab9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    103 schema:name Membrane Proteins
    104 rdf:type schema:DefinedTerm
    105 N199098ff02444ba1bad16ec955c50332 schema:name Dairy Science and Technology Section, AgResearch Ruakura, Private Bag 3123, Hamilton, New Zealand
    106 rdf:type schema:Organization
    107 N2084e641385b489fa9af2f59604c1dcc schema:name doi
    108 schema:value 10.1186/1471-2164-8-75
    109 rdf:type schema:PropertyValue
    110 N4c6892b63bec4fa19940e2f8139a3283 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    111 schema:name Sequence Homology, Nucleic Acid
    112 rdf:type schema:DefinedTerm
    113 N54f5d82df5924213a782305b2232ed00 rdf:first sg:person.01111543162.12
    114 rdf:rest N988ffae89c2241029e8a43e2a8df6744
    115 N67bce527c2f341a09063f872f6aa6f95 schema:name pubmed_id
    116 schema:value 17362520
    117 rdf:type schema:PropertyValue
    118 N76588c9335294168971db74e469f15e2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    119 schema:name Humans
    120 rdf:type schema:DefinedTerm
    121 N77840cc7aa7f4efda84e57b745e4a95e schema:name Bioinformatics, Mathematics & Statistics Section, Invermay, Private Bag 50034, Mosgiel, New Zealand
    122 rdf:type schema:Organization
    123 N77c815bf4e6f45978caf7a263d8d506b rdf:first sg:person.0725346273.15
    124 rdf:rest Na0ce676d416e45c3abb439e2b7ba750a
    125 N79bfef1ce1c14677ae072cb163318257 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Cattle
    127 rdf:type schema:DefinedTerm
    128 N7d8b5ff1b8974eea828efee1379ae56a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    129 schema:name Sequence Alignment
    130 rdf:type schema:DefinedTerm
    131 N7f0b161cce6e4372ac9ecb2ed6f0fbdf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Models, Molecular
    133 rdf:type schema:DefinedTerm
    134 N867898b9dbb04e8fa9ea0f5ee229a3ee schema:name nlm_unique_id
    135 schema:value 100965258
    136 rdf:type schema:PropertyValue
    137 N8972ec34452743bf9a687503cbd20f17 schema:name dimensions_id
    138 schema:value pub.1048269645
    139 rdf:type schema:PropertyValue
    140 N97b9e45be8bb47fe89157814ea167ee7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    141 schema:name Evolution, Molecular
    142 rdf:type schema:DefinedTerm
    143 N988ffae89c2241029e8a43e2a8df6744 rdf:first sg:person.0667373666.74
    144 rdf:rest Na097b8d6889b44cea8f9b9b05c7d2478
    145 N9ef3c1eeff9840689f3ef1a683af63cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    146 schema:name Mice
    147 rdf:type schema:DefinedTerm
    148 Na097b8d6889b44cea8f9b9b05c7d2478 rdf:first sg:person.015745603421.36
    149 rdf:rest rdf:nil
    150 Na0ce676d416e45c3abb439e2b7ba750a rdf:first sg:person.01152237255.12
    151 rdf:rest N54f5d82df5924213a782305b2232ed00
    152 Na331fa803bac40c49b279b1242e0e188 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Sequence Analysis, DNA
    154 rdf:type schema:DefinedTerm
    155 Na6f24e255f484a169ef3f2642f73c12a schema:issueNumber 1
    156 rdf:type schema:PublicationIssue
    157 Nbf822c3265524510aee953a4a5a30dcf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    158 schema:name Antimicrobial Cationic Peptides
    159 rdf:type schema:DefinedTerm
    160 Nc9ebeec5a0304c0ca8db5c70ec569108 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Gene Expression
    162 rdf:type schema:DefinedTerm
    163 Nd0c27f2f99714af79c7e221df7e95f8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    164 schema:name Blood Proteins
    165 rdf:type schema:DefinedTerm
    166 Ndeaf52b09bc843a2a8a53d101e919a98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    167 schema:name Animals
    168 rdf:type schema:DefinedTerm
    169 Nf1bdd4ceffa8400b8c9f4cd34e99eb4f rdf:first sg:person.015506030602.33
    170 rdf:rest N77c815bf4e6f45978caf7a263d8d506b
    171 Nf916b19249f74da1bd79f5206bda57eb schema:volumeNumber 8
    172 rdf:type schema:PublicationVolume
    173 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    174 schema:name Biological Sciences
    175 rdf:type schema:DefinedTerm
    176 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    177 schema:name Genetics
    178 rdf:type schema:DefinedTerm
    179 sg:journal.1023790 schema:issn 1471-2164
    180 schema:name BMC Genomics
    181 rdf:type schema:Periodical
    182 sg:person.01111543162.12 schema:affiliation https://www.grid.ac/institutes/grid.417738.e
    183 schema:familyName McEwan
    184 schema:givenName John C
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01111543162.12
    186 rdf:type schema:Person
    187 sg:person.01152237255.12 schema:affiliation N77840cc7aa7f4efda84e57b745e4a95e
    188 schema:familyName Maqbool
    189 schema:givenName Nauman J
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152237255.12
    191 rdf:type schema:Person
    192 sg:person.015506030602.33 schema:affiliation N199098ff02444ba1bad16ec955c50332
    193 schema:familyName Wheeler
    194 schema:givenName Thomas T
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015506030602.33
    196 rdf:type schema:Person
    197 sg:person.015745603421.36 schema:affiliation https://www.grid.ac/institutes/grid.213876.9
    198 schema:familyName Zhao
    199 schema:givenName Shaying
    200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015745603421.36
    201 rdf:type schema:Person
    202 sg:person.0667373666.74 schema:affiliation https://www.grid.ac/institutes/grid.11835.3e
    203 schema:familyName Bingle
    204 schema:givenName Colin D
    205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667373666.74
    206 rdf:type schema:Person
    207 sg:person.0725346273.15 schema:affiliation https://www.grid.ac/institutes/grid.416918.3
    208 schema:familyName Hood
    209 schema:givenName Kylie A
    210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725346273.15
    211 rdf:type schema:Person
    212 sg:pub.10.1038/icb.1981.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006830785
    213 https://doi.org/10.1038/icb.1981.1
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1186/1471-2105-6-31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010551629
    216 https://doi.org/10.1186/1471-2105-6-31
    217 rdf:type schema:CreativeWork
    218 https://app.dimensions.ai/details/publication/pub.1074632806 schema:CreativeWork
    219 https://app.dimensions.ai/details/publication/pub.1079749641 schema:CreativeWork
    220 https://app.dimensions.ai/details/publication/pub.1080467858 schema:CreativeWork
    221 https://app.dimensions.ai/details/publication/pub.1082794727 schema:CreativeWork
    222 https://doi.org/10.1002/1522-2683(200105)22:9<1795::aid-elps1795>3.0.co;2-j schema:sameAs https://app.dimensions.ai/details/publication/pub.1010793900
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.1002/path.1726 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034290222
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.1006/bbrc.2001.5024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020888229
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1006/jmbi.1997.0951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028174721
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.1016/0966-842x(94)90449-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031708319
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.1016/j.bbapap.2004.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010275415
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.1016/j.biocel.2004.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003694650
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.1016/j.it.2003.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012165218
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1016/j.ygeno.2003.09.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039027098
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1016/s0167-4781(00)00196-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004979905
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1016/s0167-4781(02)00508-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001013724
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1016/s0378-1119(98)00177-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048564311
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1042/bst0220080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048851839
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1042/bst0310781 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037041436
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1042/bst0310815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031050163
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1073/pnas.81.7.1991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034589758
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1073/pnas.90.21.9935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009368891
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1073/pnas.97.7.3319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002054642
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1080/10635150390235520 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058369386
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1086/378594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027335487
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1093/bioinformatics/13.5.555 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036075858
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1093/bioinformatics/17.12.1093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012655733
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1093/bioinformatics/18.12.1703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010921709
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1093/bioinformatics/bti310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015580011
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1093/hmg/11.8.937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040534180
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1093/molbev/msi097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009754204
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1093/oxfordjournals.molbev.a025808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035839794
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1093/oxfordjournals.molbev.a026236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050352635
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1097/00041433-200006000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021195816
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1101/gr.195301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074949085
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1110/ps.03332704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010308863
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1111/j.1365-2052.1996.tb00507.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007592125
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1126/science.1061217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062445088
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1126/science.276.5320.1861 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062557083
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1139/g04-075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048271718
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1159/000394196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080467858
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1534/genetics.104.031153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005360660
    295 rdf:type schema:CreativeWork
    296 https://www.grid.ac/institutes/grid.11835.3e schema:alternateName University of Sheffield
    297 schema:name Academic Unit of Respiratory Medicine, Division of Genomic Medicine, The University of Sheffield Medical School, M117, Royal Hallamshire Hospital Sheffield, S10 2JF, UK
    298 rdf:type schema:Organization
    299 https://www.grid.ac/institutes/grid.213876.9 schema:alternateName University of Georgia
    300 schema:name Department of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, Georgia, USA
    301 rdf:type schema:Organization
    302 https://www.grid.ac/institutes/grid.416918.3 schema:alternateName Wakefield Hospital
    303 schema:name Dairy Science and Technology Section, AgResearch Ruakura, Private Bag 3123, Hamilton, New Zealand
    304 Wakefield Gastroenterology Centre, Wakefield Hospital, Private Bag 7909, Wellington, New Zealand
    305 rdf:type schema:Organization
    306 https://www.grid.ac/institutes/grid.417738.e schema:alternateName AgResearch (New Zealand)
    307 schema:name Animal Genomics Section, AgResearch, Invermay, Private Bag 50034, Mosgiel, New Zealand
    308 rdf:type schema:Organization
     




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


    ...