Trace amounts of antibiotic altered metabolomic and microbial profiles of weaned pigs infected with a pathogenic E. coli View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-05-09

AUTHORS

Kwangwook Kim, Cynthia Jinno, Peng Ji, Yanhong Liu

ABSTRACT

BackgroundOur previous study has shown that supplementation of trace amounts of antibiotic exacerbated the detrimental effects of enterotoxigenic E. coli (ETEC) infection and delayed the recovery of pigs that may be associated with modified metabolites and metabolic pathways. Therefore, the objective of this study was to explore the impacts of trace levels of antibiotic (carbadox) on host metabolic profiles and colon microbiota of weaned pigs experimentally infected with ETEC F18.ResultsThe multivariate analysis highlighted a distinct metabolomic profile of serum and colon digesta between trace amounts of antibiotic (TRA; 0.5 mg/kg carbadox) and label-recommended dose antibiotic (REC; 50 mg/kg carbadox) on d 5 post-inoculation (PI). The relative abundance of metabolomic markers of amino acids, carbohydrates, and purine metabolism were significantly differentiated between the TRA and REC groups (q < 0.2). In addition, pigs in REC group had the highest (P < 0.05) relative abundance of Lactobacillaceae and tended to have increased (P < 0.10) relative abundance of Lachnospiraceae in the colon digesta on d 5 PI. On d 11 PI, pigs in REC had greater (P < 0.05) relative abundance of Clostridiaceae compared with other groups, whereas had reduced (P < 0.05) relative abundance of Prevotellaceae than pigs in control group.ConclusionsTrace amounts of antibiotic resulted in differential metabolites and metabolic pathways that may be associated with its slow responses against ETEC F18 infection. The altered gut microbiota profiles by label-recommended dose antibiotic may contribute to the promotion of disease resistance in weaned pigs. More... »

PAGES

59

References to SciGraph publications

  • 2010-04-11. QIIME allows analysis of high-throughput community sequencing data in NATURE METHODS
  • 2016-05-23. DADA2: High-resolution sample inference from Illumina amplicon data in NATURE METHODS
  • 2012-03-08. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2015-07-01. Diet shapes the gut microbiome of pigs during nursing and weaning in MICROBIOME
  • 2019-01-14. Piglet gut microbial shifts early in life: causes and effects in JOURNAL OF ANIMAL SCIENCE AND BIOTECHNOLOGY
  • 2008-01-01. Veterinary Antibiotics in Dust: Sources, Environmental Concentrations, and Possible Health Hazards in PHARMACEUTICALS IN THE ENVIRONMENT
  • 2018-05-17. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin in MICROBIOME
  • 2020-09-15. Dietary Bacillus spp. enhanced growth and disease resistance of weaned pigs by modulating intestinal microbiota and systemic immunity in JOURNAL OF ANIMAL SCIENCE AND BIOTECHNOLOGY
  • 2017-03-08. Low-dose penicillin exposure in early life decreases Th17 and the susceptibility to DSS colitis in mice through gut microbiota modification in SCIENTIFIC REPORTS
  • 2018-08-24. Characterization of bacterial microbiota compositions along the intestinal tract in pigs and their interactions and functions in SCIENTIFIC REPORTS
  • 2009-03-20. Amino acids: metabolism, functions, and nutrition in AMINO ACIDS
  • 2019-06-25. Dietary supplementation of Bacillus subtilis influenced intestinal health of weaned pigs experimentally infected with a pathogenic E. coli in JOURNAL OF ANIMAL SCIENCE AND BIOTECHNOLOGY
  • 2016-02-29. Purinergic regulation of the immune system in NATURE REVIEWS IMMUNOLOGY
  • 2017-01-18. Alteration of metabolomic markers of amino-acid metabolism in piglets with in-feed antibiotics in AMINO ACIDS
  • 2019-07-24. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 in NATURE BIOTECHNOLOGY
  • 2018-03-14. A global comparison of the microbiome compositions of three gut locations in commercial pigs with extreme feed conversion ratios in SCIENTIFIC REPORTS
  • 2018-07-30. The dynamics of the piglet gut microbiome during the weaning transition in association with health and nutrition in JOURNAL OF ANIMAL SCIENCE AND BIOTECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s40104-022-00703-5

    DOI

    http://dx.doi.org/10.1186/s40104-022-00703-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1147723618

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/35527278


    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/2008/07", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Agricultural and Veterinary Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/10", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Technology", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0702", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Animal Production", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1001", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Agricultural Biotechnology", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Animal Science, University of California, 95616, Davis, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.27860.3b", 
              "name": [
                "Department of Animal Science, University of California, 95616, Davis, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Kwangwook", 
            "id": "sg:person.01224612715.86", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224612715.86"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Animal Science, University of California, 95616, Davis, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.27860.3b", 
              "name": [
                "Department of Animal Science, University of California, 95616, Davis, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jinno", 
            "givenName": "Cynthia", 
            "id": "sg:person.016263136126.57", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016263136126.57"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Nutrition, University of California, 95616, Davis, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.27860.3b", 
              "name": [
                "Department of Nutrition, University of California, 95616, Davis, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ji", 
            "givenName": "Peng", 
            "id": "sg:person.014266526553.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014266526553.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Animal Science, University of California, 95616, Davis, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.27860.3b", 
              "name": [
                "Department of Animal Science, University of California, 95616, Davis, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Yanhong", 
            "id": "sg:person.01141166107.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141166107.45"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/ismej.2012.8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038992953", 
              "https://doi.org/10.1038/ismej.2012.8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40104-019-0364-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1117485716", 
              "https://doi.org/10.1186/s40104-019-0364-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-018-30932-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106257166", 
              "https://doi.org/10.1038/s41598-018-30932-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40104-020-00498-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1130839819", 
              "https://doi.org/10.1186/s40104-020-00498-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3869", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016631324", 
              "https://doi.org/10.1038/nmeth.3869"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00726-009-0269-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026477501", 
              "https://doi.org/10.1007/s00726-009-0269-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40168-015-0091-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049022861", 
              "https://doi.org/10.1186/s40168-015-0091-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40104-018-0269-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105056705", 
              "https://doi.org/10.1186/s40104-018-0269-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40104-018-0308-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111299354", 
              "https://doi.org/10.1186/s40104-018-0308-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41587-019-0209-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1119809350", 
              "https://doi.org/10.1038/s41587-019-0209-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00726-017-2379-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029840752", 
              "https://doi.org/10.1007/s00726-017-2379-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-74664-5_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038957704", 
              "https://doi.org/10.1007/978-3-540-74664-5_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri.2016.4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015721965", 
              "https://doi.org/10.1038/nri.2016.4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-018-22692-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101481635", 
              "https://doi.org/10.1038/s41598-018-22692-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.f.303", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009032055", 
              "https://doi.org/10.1038/nmeth.f.303"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40168-018-0470-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104049103", 
              "https://doi.org/10.1186/s40168-018-0470-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep43662", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084131571", 
              "https://doi.org/10.1038/srep43662"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-05-09", 
        "datePublishedReg": "2022-05-09", 
        "description": "BackgroundOur previous study has shown that supplementation of trace amounts of antibiotic exacerbated the detrimental effects of enterotoxigenic E. coli (ETEC) infection and delayed the recovery of pigs that may be associated with modified metabolites and metabolic pathways. Therefore, the objective of this study was to explore the impacts of trace levels of antibiotic (carbadox) on host metabolic profiles and colon microbiota of weaned pigs experimentally infected with ETEC F18.ResultsThe multivariate analysis highlighted a distinct metabolomic profile of serum and colon digesta between trace amounts of antibiotic (TRA; 0.5\u2009mg/kg carbadox) and label-recommended dose antibiotic (REC; 50\u2009mg/kg carbadox) on d 5 post-inoculation (PI). The relative abundance of metabolomic markers of amino acids, carbohydrates, and purine metabolism were significantly differentiated between the TRA and REC groups (q\u2009<\u20090.2). In addition, pigs in REC group had the highest (P\u2009<\u20090.05) relative abundance of Lactobacillaceae and tended to have increased (P\u2009<\u20090.10) relative abundance of Lachnospiraceae in the colon digesta on d 5 PI. On d 11 PI, pigs in REC had greater (P\u2009<\u20090.05) relative abundance of Clostridiaceae compared with other groups, whereas had reduced (P\u2009<\u20090.05) relative abundance of Prevotellaceae than pigs in control group.ConclusionsTrace amounts of antibiotic resulted in differential metabolites and metabolic pathways that may be associated with its slow responses against ETEC F18 infection. The altered gut microbiota profiles by label-recommended dose antibiotic may contribute to the promotion of disease resistance in weaned pigs.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s40104-022-00703-5", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.8825586", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.8752904", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1046697", 
            "issn": [
              "1674-9782", 
              "2049-1891"
            ], 
            "name": "Journal of Animal Science and Biotechnology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "13"
          }
        ], 
        "keywords": [
          "REC group", 
          "altered gut microbiota profile", 
          "enterotoxigenic E. coli infection", 
          "gut microbiota profile", 
          "colon digesta", 
          "E. coli infection", 
          "host metabolic profiles", 
          "recovery of pigs", 
          "distinct metabolomic profiles", 
          "pathogenic E. coli", 
          "coli infection", 
          "microbiota profiles", 
          "control group", 
          "multivariate analysis", 
          "metabolomic markers", 
          "colon microbiota", 
          "metabolic profile", 
          "differential metabolites", 
          "metabolomic profiles", 
          "metabolic pathways", 
          "purine metabolism", 
          "weaned pigs", 
          "pigs", 
          "infection", 
          "microbial profiles", 
          "dose", 
          "group", 
          "detrimental effects", 
          "metabolites", 
          "previous studies", 
          "digesta", 
          "pathway", 
          "supplementation", 
          "serum", 
          "E. coli", 
          "microbiota", 
          "Prevotellaceae", 
          "amino acids", 
          "Lachnospiraceae", 
          "profile", 
          "markers", 
          "study", 
          "metabolism", 
          "Lactobacillaceae", 
          "slow response", 
          "relative abundance", 
          "response", 
          "levels", 
          "PI", 
          "recovery", 
          "TRA", 
          "promotion", 
          "carbohydrates", 
          "effect", 
          "Clostridiaceae", 
          "resistance", 
          "acid", 
          "objective", 
          "amount", 
          "trace amounts", 
          "coli", 
          "addition", 
          "disease resistance", 
          "impact", 
          "analysis", 
          "REC", 
          "abundance", 
          "trace levels"
        ], 
        "name": "Trace amounts of antibiotic altered metabolomic and microbial profiles of weaned pigs infected with a pathogenic E. coli", 
        "pagination": "59", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1147723618"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s40104-022-00703-5"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "35527278"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s40104-022-00703-5", 
          "https://app.dimensions.ai/details/publication/pub.1147723618"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:44", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_931.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s40104-022-00703-5"
      }
    ]
     

    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/s40104-022-00703-5'

    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/s40104-022-00703-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40104-022-00703-5'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40104-022-00703-5'


     

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

    232 TRIPLES      21 PREDICATES      112 URIs      85 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s40104-022-00703-5 schema:about anzsrc-for:07
    2 anzsrc-for:0702
    3 anzsrc-for:10
    4 anzsrc-for:1001
    5 schema:author Nb325a9657afa4c6399df2c4f9da0b722
    6 schema:citation sg:pub.10.1007/978-3-540-74664-5_7
    7 sg:pub.10.1007/s00726-009-0269-0
    8 sg:pub.10.1007/s00726-017-2379-4
    9 sg:pub.10.1038/ismej.2012.8
    10 sg:pub.10.1038/nmeth.3869
    11 sg:pub.10.1038/nmeth.f.303
    12 sg:pub.10.1038/nri.2016.4
    13 sg:pub.10.1038/s41587-019-0209-9
    14 sg:pub.10.1038/s41598-018-22692-0
    15 sg:pub.10.1038/s41598-018-30932-6
    16 sg:pub.10.1038/srep43662
    17 sg:pub.10.1186/s40104-018-0269-6
    18 sg:pub.10.1186/s40104-018-0308-3
    19 sg:pub.10.1186/s40104-019-0364-3
    20 sg:pub.10.1186/s40104-020-00498-3
    21 sg:pub.10.1186/s40168-015-0091-8
    22 sg:pub.10.1186/s40168-018-0470-z
    23 schema:datePublished 2022-05-09
    24 schema:datePublishedReg 2022-05-09
    25 schema:description BackgroundOur previous study has shown that supplementation of trace amounts of antibiotic exacerbated the detrimental effects of enterotoxigenic E. coli (ETEC) infection and delayed the recovery of pigs that may be associated with modified metabolites and metabolic pathways. Therefore, the objective of this study was to explore the impacts of trace levels of antibiotic (carbadox) on host metabolic profiles and colon microbiota of weaned pigs experimentally infected with ETEC F18.ResultsThe multivariate analysis highlighted a distinct metabolomic profile of serum and colon digesta between trace amounts of antibiotic (TRA; 0.5 mg/kg carbadox) and label-recommended dose antibiotic (REC; 50 mg/kg carbadox) on d 5 post-inoculation (PI). The relative abundance of metabolomic markers of amino acids, carbohydrates, and purine metabolism were significantly differentiated between the TRA and REC groups (q < 0.2). In addition, pigs in REC group had the highest (P < 0.05) relative abundance of Lactobacillaceae and tended to have increased (P < 0.10) relative abundance of Lachnospiraceae in the colon digesta on d 5 PI. On d 11 PI, pigs in REC had greater (P < 0.05) relative abundance of Clostridiaceae compared with other groups, whereas had reduced (P < 0.05) relative abundance of Prevotellaceae than pigs in control group.ConclusionsTrace amounts of antibiotic resulted in differential metabolites and metabolic pathways that may be associated with its slow responses against ETEC F18 infection. The altered gut microbiota profiles by label-recommended dose antibiotic may contribute to the promotion of disease resistance in weaned pigs.
    26 schema:genre article
    27 schema:isAccessibleForFree true
    28 schema:isPartOf N10442dfb47244a7c8cc7f4e3723dd7e6
    29 Ncc096d17a2954dd8907304035e79394c
    30 sg:journal.1046697
    31 schema:keywords Clostridiaceae
    32 E. coli
    33 E. coli infection
    34 Lachnospiraceae
    35 Lactobacillaceae
    36 PI
    37 Prevotellaceae
    38 REC
    39 REC group
    40 TRA
    41 abundance
    42 acid
    43 addition
    44 altered gut microbiota profile
    45 amino acids
    46 amount
    47 analysis
    48 carbohydrates
    49 coli
    50 coli infection
    51 colon digesta
    52 colon microbiota
    53 control group
    54 detrimental effects
    55 differential metabolites
    56 digesta
    57 disease resistance
    58 distinct metabolomic profiles
    59 dose
    60 effect
    61 enterotoxigenic E. coli infection
    62 group
    63 gut microbiota profile
    64 host metabolic profiles
    65 impact
    66 infection
    67 levels
    68 markers
    69 metabolic pathways
    70 metabolic profile
    71 metabolism
    72 metabolites
    73 metabolomic markers
    74 metabolomic profiles
    75 microbial profiles
    76 microbiota
    77 microbiota profiles
    78 multivariate analysis
    79 objective
    80 pathogenic E. coli
    81 pathway
    82 pigs
    83 previous studies
    84 profile
    85 promotion
    86 purine metabolism
    87 recovery
    88 recovery of pigs
    89 relative abundance
    90 resistance
    91 response
    92 serum
    93 slow response
    94 study
    95 supplementation
    96 trace amounts
    97 trace levels
    98 weaned pigs
    99 schema:name Trace amounts of antibiotic altered metabolomic and microbial profiles of weaned pigs infected with a pathogenic E. coli
    100 schema:pagination 59
    101 schema:productId N499cc04f771341649ef1ced0f00b2785
    102 N853a7f8d7d58481bb8eb35c2ba46fae3
    103 Nffb3ae69b24e44baa6901fc9994876f1
    104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1147723618
    105 https://doi.org/10.1186/s40104-022-00703-5
    106 schema:sdDatePublished 2022-12-01T06:44
    107 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    108 schema:sdPublisher N19ee92e84f26494c815d82f754714dc1
    109 schema:url https://doi.org/10.1186/s40104-022-00703-5
    110 sgo:license sg:explorer/license/
    111 sgo:sdDataset articles
    112 rdf:type schema:ScholarlyArticle
    113 N0c54f009a91147c4a9e733e07d0c33f2 rdf:first sg:person.014266526553.01
    114 rdf:rest N7cb909c829c944ceb40022f8b87e8cdf
    115 N10442dfb47244a7c8cc7f4e3723dd7e6 schema:issueNumber 1
    116 rdf:type schema:PublicationIssue
    117 N19ee92e84f26494c815d82f754714dc1 schema:name Springer Nature - SN SciGraph project
    118 rdf:type schema:Organization
    119 N499cc04f771341649ef1ced0f00b2785 schema:name pubmed_id
    120 schema:value 35527278
    121 rdf:type schema:PropertyValue
    122 N7cb909c829c944ceb40022f8b87e8cdf rdf:first sg:person.01141166107.45
    123 rdf:rest rdf:nil
    124 N853a7f8d7d58481bb8eb35c2ba46fae3 schema:name dimensions_id
    125 schema:value pub.1147723618
    126 rdf:type schema:PropertyValue
    127 Naa77b05db04c4059acf89c897148378a rdf:first sg:person.016263136126.57
    128 rdf:rest N0c54f009a91147c4a9e733e07d0c33f2
    129 Nb325a9657afa4c6399df2c4f9da0b722 rdf:first sg:person.01224612715.86
    130 rdf:rest Naa77b05db04c4059acf89c897148378a
    131 Ncc096d17a2954dd8907304035e79394c schema:volumeNumber 13
    132 rdf:type schema:PublicationVolume
    133 Nffb3ae69b24e44baa6901fc9994876f1 schema:name doi
    134 schema:value 10.1186/s40104-022-00703-5
    135 rdf:type schema:PropertyValue
    136 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
    137 schema:name Agricultural and Veterinary Sciences
    138 rdf:type schema:DefinedTerm
    139 anzsrc-for:0702 schema:inDefinedTermSet anzsrc-for:
    140 schema:name Animal Production
    141 rdf:type schema:DefinedTerm
    142 anzsrc-for:10 schema:inDefinedTermSet anzsrc-for:
    143 schema:name Technology
    144 rdf:type schema:DefinedTerm
    145 anzsrc-for:1001 schema:inDefinedTermSet anzsrc-for:
    146 schema:name Agricultural Biotechnology
    147 rdf:type schema:DefinedTerm
    148 sg:grant.8752904 http://pending.schema.org/fundedItem sg:pub.10.1186/s40104-022-00703-5
    149 rdf:type schema:MonetaryGrant
    150 sg:grant.8825586 http://pending.schema.org/fundedItem sg:pub.10.1186/s40104-022-00703-5
    151 rdf:type schema:MonetaryGrant
    152 sg:journal.1046697 schema:issn 1674-9782
    153 2049-1891
    154 schema:name Journal of Animal Science and Biotechnology
    155 schema:publisher Springer Nature
    156 rdf:type schema:Periodical
    157 sg:person.01141166107.45 schema:affiliation grid-institutes:grid.27860.3b
    158 schema:familyName Liu
    159 schema:givenName Yanhong
    160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141166107.45
    161 rdf:type schema:Person
    162 sg:person.01224612715.86 schema:affiliation grid-institutes:grid.27860.3b
    163 schema:familyName Kim
    164 schema:givenName Kwangwook
    165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224612715.86
    166 rdf:type schema:Person
    167 sg:person.014266526553.01 schema:affiliation grid-institutes:grid.27860.3b
    168 schema:familyName Ji
    169 schema:givenName Peng
    170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014266526553.01
    171 rdf:type schema:Person
    172 sg:person.016263136126.57 schema:affiliation grid-institutes:grid.27860.3b
    173 schema:familyName Jinno
    174 schema:givenName Cynthia
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016263136126.57
    176 rdf:type schema:Person
    177 sg:pub.10.1007/978-3-540-74664-5_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038957704
    178 https://doi.org/10.1007/978-3-540-74664-5_7
    179 rdf:type schema:CreativeWork
    180 sg:pub.10.1007/s00726-009-0269-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026477501
    181 https://doi.org/10.1007/s00726-009-0269-0
    182 rdf:type schema:CreativeWork
    183 sg:pub.10.1007/s00726-017-2379-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029840752
    184 https://doi.org/10.1007/s00726-017-2379-4
    185 rdf:type schema:CreativeWork
    186 sg:pub.10.1038/ismej.2012.8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038992953
    187 https://doi.org/10.1038/ismej.2012.8
    188 rdf:type schema:CreativeWork
    189 sg:pub.10.1038/nmeth.3869 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016631324
    190 https://doi.org/10.1038/nmeth.3869
    191 rdf:type schema:CreativeWork
    192 sg:pub.10.1038/nmeth.f.303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009032055
    193 https://doi.org/10.1038/nmeth.f.303
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1038/nri.2016.4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015721965
    196 https://doi.org/10.1038/nri.2016.4
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1038/s41587-019-0209-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1119809350
    199 https://doi.org/10.1038/s41587-019-0209-9
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1038/s41598-018-22692-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101481635
    202 https://doi.org/10.1038/s41598-018-22692-0
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1038/s41598-018-30932-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106257166
    205 https://doi.org/10.1038/s41598-018-30932-6
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1038/srep43662 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084131571
    208 https://doi.org/10.1038/srep43662
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1186/s40104-018-0269-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105056705
    211 https://doi.org/10.1186/s40104-018-0269-6
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1186/s40104-018-0308-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111299354
    214 https://doi.org/10.1186/s40104-018-0308-3
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1186/s40104-019-0364-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1117485716
    217 https://doi.org/10.1186/s40104-019-0364-3
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1186/s40104-020-00498-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1130839819
    220 https://doi.org/10.1186/s40104-020-00498-3
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1186/s40168-015-0091-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049022861
    223 https://doi.org/10.1186/s40168-015-0091-8
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1186/s40168-018-0470-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1104049103
    226 https://doi.org/10.1186/s40168-018-0470-z
    227 rdf:type schema:CreativeWork
    228 grid-institutes:grid.27860.3b schema:alternateName Department of Animal Science, University of California, 95616, Davis, CA, USA
    229 Department of Nutrition, University of California, 95616, Davis, CA, USA
    230 schema:name Department of Animal Science, University of California, 95616, Davis, CA, USA
    231 Department of Nutrition, University of California, 95616, Davis, CA, USA
    232 rdf:type schema:Organization
     




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


    ...