Delayed access to feed early post-hatch affects the development and maturation of gastrointestinal tract microbiota in broiler chickens View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-08-24

AUTHORS

Monika Proszkowiec-Weglarz, Katarzyna B. Miska, Laura E. Ellestad, Lori L. Schreier, Stanislaw Kahl, Nadia Darwish, Philip Campos, Jonathan Shao

ABSTRACT

BackgroundThe first two weeks of post-hatch (PH) growth in broilers (meat-type birds) are critical for gut development and microbiota colonization. In the current broiler production system, chicks may not receive feed and water for 24 to 72 h due to variations in hatching time and hatchery management. Post-hatch feed delay affects body weight, feed efficiency, mortality, and gut development. The goal of this study was to investigate changes in the microbiome in broiler chickens early PH and the effect of delayed access to feed on the microbiota.ResultsChicks either received feed and water immediately after hatch or access to feed was delayed for 48 h to mimic commercial hatchery settings (treatment, TRT). Both groups were sampled (n = 6) at -48, 0, 4 h, and 1 (24 h), 2 (48 h), 3 (72 h), 4 (96 h), 6 (144 h), 8 (192 h), 10 (240 h), 12 (288 h) and 14 (336 h) days PH. Ileal (IL) and cecal (CE) epithelial scrapings (mucosal bacteria, M) and digesta (luminal bacteria, L) were collected for microbiota analysis. Microbiota was determined by sequencing the V3-V4 region of bacterial 16S rRNA and analyzed using QIIME2. The microbiota of early ileal and cecal samples were characterized by high abundance of unclassified bacteria. Among four bacterial populations (IL-L, IL-M, CE-L, CE-M), IL-M was the least affected by delayed access to feed early PH. Both alpha and beta diversities were affected by delayed access to feed PH in IL-L, CE-M and CE-L. However, the development effect was more pronounced. In all four bacterial populations, significant changes due to developmental effect (time relative to hatch) was observed in taxonomic composition, with transient changes of bacterial taxa during the first two weeks PH. Delayed access to feed has limited influence on bacterial composition with only a few genera and species affected in all four bacterial populations. Predicted function based on 16S rRNA was also affected by delayed access to feed PH with most changes in metabolic pathway richness observed in IL-L, CE-L and CE-M.ConclusionsThese results show transient changes in chicken microbiota biodiversity during the first two weeks PH and indicate that delayed access to feed affects microbiota development. Proper microbiota development could be an important factor in disease prevention and antibiotic use in broiler chickens. Moreover, significant differences in response to delayed access to feed PH between luminal and mucosal bacterial populations strongly suggests the need for separate analysis of these two populations. More... »

PAGES

206

References to SciGraph publications

  • 2018-11-27. The chicken gut metagenome and the modulatory effects of plant-derived benzylisoquinoline alkaloids in MICROBIOME
  • 2002-09-12. Spatial and Temporal Variation of the Intestinal Bacterial Community in Commercially Raised Broiler Chickens During Growth in MICROBIAL ECOLOGY
  • 2009-12-03. Exposure of different bacterial inocula to newborn chicken affects gut microbiota development and ileum gene expression in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2006. An Introduction to the Family Clostridiaceae in THE PROKARYOTES
  • 2016-10-19. Changes in the diversity and composition of gut microbiota of weaned piglets after oral administration of Lactobacillus or an antibiotic in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2020-06-01. PICRUSt2 for prediction of metagenome functions in NATURE BIOTECHNOLOGY
  • 2011-06-24. Metagenomic biomarker discovery and explanation in GENOME BIOLOGY
  • 2017-12-07. Cecal microbiome divergence of broiler chickens by sex and body weight in JOURNAL OF MICROBIOLOGY
  • 2015-05-28. Early life microbial colonization of the gut and intestinal development differ between genetically divergent broiler lines in BMC GENOMICS
  • 2013-03-25. Age-related differences in the cloacal microbiota of a wild bird species in BMC ECOLOGY AND EVOLUTION
  • 2014-03-19. Microbiota of the chicken gastrointestinal tract: influence on health, productivity and disease in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2018-07-31. Whole genome sequencing and function prediction of 133 gut anaerobes isolated from chicken caecum in pure cultures in BMC GENOMICS
  • 2019-05-02. Characterization of microbial communities in the chicken oviduct and the origin of chicken embryo gut microbiota in SCIENTIFIC REPORTS
  • 2010-02-04. Developmental microbial ecology of the crop of the folivorous hoatzin in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12866-022-02619-6

    DOI

    http://dx.doi.org/10.1186/s12866-022-02619-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1150465643

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/36002800


    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/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0605", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Microbiology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animal Feed", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Bacteria", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chickens", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gastrointestinal Tract", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Microbiota", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "RNA, Ribosomal, 16S", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Water", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.417548.b", 
              "name": [
                "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Proszkowiec-Weglarz", 
            "givenName": "Monika", 
            "id": "sg:person.0677364165.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677364165.84"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.417548.b", 
              "name": [
                "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Miska", 
            "givenName": "Katarzyna B.", 
            "id": "sg:person.01147446201.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01147446201.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Poultry Science, University of Georgia, 30602, Athens, GA, USA", 
              "id": "http://www.grid.ac/institutes/grid.213876.9", 
              "name": [
                "Department of Poultry Science, University of Georgia, 30602, Athens, GA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ellestad", 
            "givenName": "Laura E.", 
            "id": "sg:person.01211226253.77", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211226253.77"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.417548.b", 
              "name": [
                "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schreier", 
            "givenName": "Lori L.", 
            "id": "sg:person.01263534114.75", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263534114.75"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.417548.b", 
              "name": [
                "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kahl", 
            "givenName": "Stanislaw", 
            "id": "sg:person.01340316700.63", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340316700.63"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Statistic Group, 20705, Beltsville, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.508984.8", 
              "name": [
                "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA", 
                "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Statistic Group, 20705, Beltsville, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Darwish", 
            "givenName": "Nadia", 
            "id": "sg:person.07745061725.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07745061725.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Statistic Group, 20705, Beltsville, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.508984.8", 
              "name": [
                "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA", 
                "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Statistic Group, 20705, Beltsville, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Campos", 
            "givenName": "Philip", 
            "id": "sg:person.07546536260.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07546536260.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Statistic Group, 20705, Beltsville, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.508984.8", 
              "name": [
                "United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Statistic Group, 20705, Beltsville, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shao", 
            "givenName": "Jonathan", 
            "id": "sg:person.0632713032.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632713032.36"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/0-387-30744-3_20", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045208267", 
              "https://doi.org/10.1007/0-387-30744-3_20"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12864-018-4959-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105932478", 
              "https://doi.org/10.1186/s12864-018-4959-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2009.128", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020093960", 
              "https://doi.org/10.1038/ismej.2009.128"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-019-43280-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1113875015", 
              "https://doi.org/10.1038/s41598-019-43280-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41587-020-0548-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1128090688", 
              "https://doi.org/10.1038/s41587-020-0548-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12275-017-7202-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099694624", 
              "https://doi.org/10.1007/s12275-017-7202-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00253-014-5646-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025403642", 
              "https://doi.org/10.1007/s00253-014-5646-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00253-016-7845-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002186251", 
              "https://doi.org/10.1007/s00253-016-7845-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1472-6785-13-11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018934601", 
              "https://doi.org/10.1186/1472-6785-13-11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2011-12-6-r60", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000243423", 
              "https://doi.org/10.1186/gb-2011-12-6-r60"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00248-002-2015-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008945211", 
              "https://doi.org/10.1007/s00248-002-2015-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12864-015-1646-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036934632", 
              "https://doi.org/10.1186/s12864-015-1646-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40168-018-0590-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110232183", 
              "https://doi.org/10.1186/s40168-018-0590-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2009.147", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053539443", 
              "https://doi.org/10.1038/ismej.2009.147"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-08-24", 
        "datePublishedReg": "2022-08-24", 
        "description": "BackgroundThe first two weeks of post-hatch (PH) growth in broilers (meat-type birds) are critical for gut development and microbiota colonization. In the current broiler production system, chicks may not receive feed and water for 24 to 72\u00a0h due to variations in hatching time and hatchery management. Post-hatch feed delay affects body weight, feed efficiency, mortality, and gut development. The goal of this study was to investigate changes in the microbiome in broiler chickens early PH and the effect of delayed access to feed on the microbiota.ResultsChicks either received feed and water immediately after hatch or access to feed was delayed for 48\u00a0h to mimic commercial hatchery settings (treatment, TRT). Both groups were sampled (n\u2009=\u20096) at -48, 0, 4\u00a0h, and 1 (24\u00a0h), 2 (48\u00a0h), 3 (72\u00a0h), 4 (96\u00a0h), 6 (144\u00a0h), 8 (192\u00a0h), 10 (240\u00a0h), 12 (288\u00a0h) and 14 (336\u00a0h) days PH. Ileal (IL) and cecal (CE) epithelial scrapings (mucosal bacteria, M) and digesta (luminal bacteria, L) were collected for microbiota analysis. Microbiota was determined by sequencing the V3-V4 region of bacterial 16S rRNA and analyzed using QIIME2. The microbiota of early ileal and cecal samples were characterized by high abundance of unclassified bacteria. Among four bacterial populations (IL-L, IL-M, CE-L, CE-M), IL-M was the least affected by delayed access to feed early PH. Both alpha and beta diversities were affected by delayed access to feed PH in IL-L, CE-M and CE-L. However, the development effect was more pronounced. In all four bacterial populations, significant changes due to developmental effect (time relative to hatch) was observed in taxonomic composition, with transient changes of bacterial taxa during the first two weeks PH. Delayed access to feed has limited influence on bacterial composition with only a few genera and species affected in all four bacterial populations. Predicted function based on 16S rRNA was also affected by delayed access to feed PH with most changes in metabolic pathway richness observed in IL-L, CE-L and CE-M.ConclusionsThese results show transient changes in chicken microbiota biodiversity during the first two weeks PH and indicate that delayed access to feed affects microbiota development. Proper microbiota development could be an important factor in disease prevention and antibiotic use in broiler chickens. Moreover, significant differences in response to delayed access to feed PH between luminal and mucosal bacterial populations strongly suggests the need for separate analysis of these two populations.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s12866-022-02619-6", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.9540661", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1024253", 
            "issn": [
              "1471-2180"
            ], 
            "name": "BMC Microbiology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "22"
          }
        ], 
        "keywords": [
          "bacterial populations", 
          "gut development", 
          "V3-V4 region", 
          "unclassified bacteria", 
          "beta diversity", 
          "taxonomic composition", 
          "gastrointestinal tract microbiota", 
          "bacterial taxa", 
          "post-hatch growth", 
          "microbiota development", 
          "high abundance", 
          "bacterial composition", 
          "hatchery setting", 
          "microbiota biodiversity", 
          "hatchery management", 
          "rRNA", 
          "microbiota colonization", 
          "microbiota", 
          "days PH", 
          "microbiota analysis", 
          "cecal samples", 
          "developmental effects", 
          "transient changes", 
          "taxa", 
          "biodiversity", 
          "richness", 
          "most changes", 
          "genus", 
          "population", 
          "species", 
          "chickens", 
          "diversity", 
          "QIIME2", 
          "abundance", 
          "microbiome", 
          "feed efficiency", 
          "bacteria", 
          "colonization", 
          "maturation", 
          "broiler chickens", 
          "production systems", 
          "hatch", 
          "development", 
          "feed", 
          "composition", 
          "mucosal bacterial populations", 
          "growth", 
          "changes", 
          "alpha", 
          "pH", 
          "chicks", 
          "ConclusionsThese results", 
          "important factor", 
          "region", 
          "variation", 
          "digesta", 
          "function", 
          "analysis", 
          "water", 
          "response", 
          "broiler production systems", 
          "effect", 
          "separate analysis", 
          "disease prevention", 
          "significant changes", 
          "factors", 
          "ileal", 
          "weight", 
          "broilers", 
          "study", 
          "differences", 
          "significant differences", 
          "epithelial scrapings", 
          "results", 
          "body weight", 
          "samples", 
          "system", 
          "group", 
          "mortality", 
          "development effect", 
          "scrapings", 
          "influence", 
          "efficiency", 
          "use", 
          "time", 
          "access", 
          "management", 
          "goal", 
          "prevention", 
          "need", 
          "antibiotic use", 
          "weeks", 
          "Ce", 
          "delay", 
          "setting"
        ], 
        "name": "Delayed access to feed early post-hatch affects the development and maturation of gastrointestinal tract microbiota in broiler chickens", 
        "pagination": "206", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1150465643"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12866-022-02619-6"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "36002800"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12866-022-02619-6", 
          "https://app.dimensions.ai/details/publication/pub.1150465643"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-11-24T21:08", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_951.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s12866-022-02619-6"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12866-022-02619-6'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12866-022-02619-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12866-022-02619-6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12866-022-02619-6'


     

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

    301 TRIPLES      21 PREDICATES      142 URIs      120 LITERALS      15 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12866-022-02619-6 schema:about N269f9448479e46389d98d4a0c7f0d5fe
    2 N333c5ffdf9394b42bcfd59600caf9a08
    3 N37292cf1582941d98265f8543161c971
    4 N685c4d98c1544ea48ba8e05456521f8b
    5 N6aff147c8aab4f67bb70040db3c65890
    6 N76cbbb2d331549ce9b5c1c0175d570be
    7 Nd4291a7afeb144329c9c02cb86d9e29a
    8 Ndaf47a38c0724d4eb614575fefba5971
    9 anzsrc-for:06
    10 anzsrc-for:0605
    11 schema:author N627893fb8f684311ad4b487af0b29fae
    12 schema:citation sg:pub.10.1007/0-387-30744-3_20
    13 sg:pub.10.1007/s00248-002-2015-y
    14 sg:pub.10.1007/s00253-014-5646-2
    15 sg:pub.10.1007/s00253-016-7845-5
    16 sg:pub.10.1007/s12275-017-7202-0
    17 sg:pub.10.1038/ismej.2009.128
    18 sg:pub.10.1038/ismej.2009.147
    19 sg:pub.10.1038/s41587-020-0548-6
    20 sg:pub.10.1038/s41598-019-43280-w
    21 sg:pub.10.1186/1472-6785-13-11
    22 sg:pub.10.1186/gb-2011-12-6-r60
    23 sg:pub.10.1186/s12864-015-1646-6
    24 sg:pub.10.1186/s12864-018-4959-4
    25 sg:pub.10.1186/s40168-018-0590-5
    26 schema:datePublished 2022-08-24
    27 schema:datePublishedReg 2022-08-24
    28 schema:description BackgroundThe first two weeks of post-hatch (PH) growth in broilers (meat-type birds) are critical for gut development and microbiota colonization. In the current broiler production system, chicks may not receive feed and water for 24 to 72 h due to variations in hatching time and hatchery management. Post-hatch feed delay affects body weight, feed efficiency, mortality, and gut development. The goal of this study was to investigate changes in the microbiome in broiler chickens early PH and the effect of delayed access to feed on the microbiota.ResultsChicks either received feed and water immediately after hatch or access to feed was delayed for 48 h to mimic commercial hatchery settings (treatment, TRT). Both groups were sampled (n = 6) at -48, 0, 4 h, and 1 (24 h), 2 (48 h), 3 (72 h), 4 (96 h), 6 (144 h), 8 (192 h), 10 (240 h), 12 (288 h) and 14 (336 h) days PH. Ileal (IL) and cecal (CE) epithelial scrapings (mucosal bacteria, M) and digesta (luminal bacteria, L) were collected for microbiota analysis. Microbiota was determined by sequencing the V3-V4 region of bacterial 16S rRNA and analyzed using QIIME2. The microbiota of early ileal and cecal samples were characterized by high abundance of unclassified bacteria. Among four bacterial populations (IL-L, IL-M, CE-L, CE-M), IL-M was the least affected by delayed access to feed early PH. Both alpha and beta diversities were affected by delayed access to feed PH in IL-L, CE-M and CE-L. However, the development effect was more pronounced. In all four bacterial populations, significant changes due to developmental effect (time relative to hatch) was observed in taxonomic composition, with transient changes of bacterial taxa during the first two weeks PH. Delayed access to feed has limited influence on bacterial composition with only a few genera and species affected in all four bacterial populations. Predicted function based on 16S rRNA was also affected by delayed access to feed PH with most changes in metabolic pathway richness observed in IL-L, CE-L and CE-M.ConclusionsThese results show transient changes in chicken microbiota biodiversity during the first two weeks PH and indicate that delayed access to feed affects microbiota development. Proper microbiota development could be an important factor in disease prevention and antibiotic use in broiler chickens. Moreover, significant differences in response to delayed access to feed PH between luminal and mucosal bacterial populations strongly suggests the need for separate analysis of these two populations.
    29 schema:genre article
    30 schema:isAccessibleForFree true
    31 schema:isPartOf N2977c4d9f0224557a1c48802aa778ee3
    32 Nee70810b5a184ae1b9eb91cb9033b9b1
    33 sg:journal.1024253
    34 schema:keywords Ce
    35 ConclusionsThese results
    36 QIIME2
    37 V3-V4 region
    38 abundance
    39 access
    40 alpha
    41 analysis
    42 antibiotic use
    43 bacteria
    44 bacterial composition
    45 bacterial populations
    46 bacterial taxa
    47 beta diversity
    48 biodiversity
    49 body weight
    50 broiler chickens
    51 broiler production systems
    52 broilers
    53 cecal samples
    54 changes
    55 chickens
    56 chicks
    57 colonization
    58 composition
    59 days PH
    60 delay
    61 development
    62 development effect
    63 developmental effects
    64 differences
    65 digesta
    66 disease prevention
    67 diversity
    68 effect
    69 efficiency
    70 epithelial scrapings
    71 factors
    72 feed
    73 feed efficiency
    74 function
    75 gastrointestinal tract microbiota
    76 genus
    77 goal
    78 group
    79 growth
    80 gut development
    81 hatch
    82 hatchery management
    83 hatchery setting
    84 high abundance
    85 ileal
    86 important factor
    87 influence
    88 management
    89 maturation
    90 microbiome
    91 microbiota
    92 microbiota analysis
    93 microbiota biodiversity
    94 microbiota colonization
    95 microbiota development
    96 mortality
    97 most changes
    98 mucosal bacterial populations
    99 need
    100 pH
    101 population
    102 post-hatch growth
    103 prevention
    104 production systems
    105 rRNA
    106 region
    107 response
    108 results
    109 richness
    110 samples
    111 scrapings
    112 separate analysis
    113 setting
    114 significant changes
    115 significant differences
    116 species
    117 study
    118 system
    119 taxa
    120 taxonomic composition
    121 time
    122 transient changes
    123 unclassified bacteria
    124 use
    125 variation
    126 water
    127 weeks
    128 weight
    129 schema:name Delayed access to feed early post-hatch affects the development and maturation of gastrointestinal tract microbiota in broiler chickens
    130 schema:pagination 206
    131 schema:productId N40aa036049e2416cb8b0f11c13966e93
    132 Nb0b8622d599646928977bcadd51065df
    133 Nc09a7c071cbd44afbf831c1d9f6cec69
    134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1150465643
    135 https://doi.org/10.1186/s12866-022-02619-6
    136 schema:sdDatePublished 2022-11-24T21:08
    137 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    138 schema:sdPublisher N71e56eb0f848478bbb1e74f578df2007
    139 schema:url https://doi.org/10.1186/s12866-022-02619-6
    140 sgo:license sg:explorer/license/
    141 sgo:sdDataset articles
    142 rdf:type schema:ScholarlyArticle
    143 N0a3524cdc76a478eb42bb8469786494a rdf:first sg:person.07745061725.59
    144 rdf:rest Nc790d4f0f5bb46a7982a63b1170c1e34
    145 N269f9448479e46389d98d4a0c7f0d5fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    146 schema:name Animal Feed
    147 rdf:type schema:DefinedTerm
    148 N2977c4d9f0224557a1c48802aa778ee3 schema:issueNumber 1
    149 rdf:type schema:PublicationIssue
    150 N333c5ffdf9394b42bcfd59600caf9a08 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name Water
    152 rdf:type schema:DefinedTerm
    153 N37292cf1582941d98265f8543161c971 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    154 schema:name Gastrointestinal Tract
    155 rdf:type schema:DefinedTerm
    156 N3ec977c83b434598918d9b08bfff372e rdf:first sg:person.0632713032.36
    157 rdf:rest rdf:nil
    158 N40aa036049e2416cb8b0f11c13966e93 schema:name pubmed_id
    159 schema:value 36002800
    160 rdf:type schema:PropertyValue
    161 N435af2c2342b40319339774164252a9c rdf:first sg:person.01340316700.63
    162 rdf:rest N0a3524cdc76a478eb42bb8469786494a
    163 N627893fb8f684311ad4b487af0b29fae rdf:first sg:person.0677364165.84
    164 rdf:rest N71556813236040f4b207b0ba3ce9fad2
    165 N685c4d98c1544ea48ba8e05456521f8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    166 schema:name Chickens
    167 rdf:type schema:DefinedTerm
    168 N6aff147c8aab4f67bb70040db3c65890 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    169 schema:name Animals
    170 rdf:type schema:DefinedTerm
    171 N71556813236040f4b207b0ba3ce9fad2 rdf:first sg:person.01147446201.13
    172 rdf:rest Ne02f99b35f42424dbce6f3b5b1581428
    173 N71e56eb0f848478bbb1e74f578df2007 schema:name Springer Nature - SN SciGraph project
    174 rdf:type schema:Organization
    175 N76cbbb2d331549ce9b5c1c0175d570be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    176 schema:name Microbiota
    177 rdf:type schema:DefinedTerm
    178 N995b1b0e62184e5fa0934dbb72c37eb7 rdf:first sg:person.01263534114.75
    179 rdf:rest N435af2c2342b40319339774164252a9c
    180 Nb0b8622d599646928977bcadd51065df schema:name doi
    181 schema:value 10.1186/s12866-022-02619-6
    182 rdf:type schema:PropertyValue
    183 Nc09a7c071cbd44afbf831c1d9f6cec69 schema:name dimensions_id
    184 schema:value pub.1150465643
    185 rdf:type schema:PropertyValue
    186 Nc790d4f0f5bb46a7982a63b1170c1e34 rdf:first sg:person.07546536260.31
    187 rdf:rest N3ec977c83b434598918d9b08bfff372e
    188 Nd4291a7afeb144329c9c02cb86d9e29a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    189 schema:name RNA, Ribosomal, 16S
    190 rdf:type schema:DefinedTerm
    191 Ndaf47a38c0724d4eb614575fefba5971 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    192 schema:name Bacteria
    193 rdf:type schema:DefinedTerm
    194 Ne02f99b35f42424dbce6f3b5b1581428 rdf:first sg:person.01211226253.77
    195 rdf:rest N995b1b0e62184e5fa0934dbb72c37eb7
    196 Nee70810b5a184ae1b9eb91cb9033b9b1 schema:volumeNumber 22
    197 rdf:type schema:PublicationVolume
    198 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    199 schema:name Biological Sciences
    200 rdf:type schema:DefinedTerm
    201 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
    202 schema:name Microbiology
    203 rdf:type schema:DefinedTerm
    204 sg:grant.9540661 http://pending.schema.org/fundedItem sg:pub.10.1186/s12866-022-02619-6
    205 rdf:type schema:MonetaryGrant
    206 sg:journal.1024253 schema:issn 1471-2180
    207 schema:name BMC Microbiology
    208 schema:publisher Springer Nature
    209 rdf:type schema:Periodical
    210 sg:person.01147446201.13 schema:affiliation grid-institutes:grid.417548.b
    211 schema:familyName Miska
    212 schema:givenName Katarzyna B.
    213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01147446201.13
    214 rdf:type schema:Person
    215 sg:person.01211226253.77 schema:affiliation grid-institutes:grid.213876.9
    216 schema:familyName Ellestad
    217 schema:givenName Laura E.
    218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211226253.77
    219 rdf:type schema:Person
    220 sg:person.01263534114.75 schema:affiliation grid-institutes:grid.417548.b
    221 schema:familyName Schreier
    222 schema:givenName Lori L.
    223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263534114.75
    224 rdf:type schema:Person
    225 sg:person.01340316700.63 schema:affiliation grid-institutes:grid.417548.b
    226 schema:familyName Kahl
    227 schema:givenName Stanislaw
    228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340316700.63
    229 rdf:type schema:Person
    230 sg:person.0632713032.36 schema:affiliation grid-institutes:grid.508984.8
    231 schema:familyName Shao
    232 schema:givenName Jonathan
    233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632713032.36
    234 rdf:type schema:Person
    235 sg:person.0677364165.84 schema:affiliation grid-institutes:grid.417548.b
    236 schema:familyName Proszkowiec-Weglarz
    237 schema:givenName Monika
    238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677364165.84
    239 rdf:type schema:Person
    240 sg:person.07546536260.31 schema:affiliation grid-institutes:grid.508984.8
    241 schema:familyName Campos
    242 schema:givenName Philip
    243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07546536260.31
    244 rdf:type schema:Person
    245 sg:person.07745061725.59 schema:affiliation grid-institutes:grid.508984.8
    246 schema:familyName Darwish
    247 schema:givenName Nadia
    248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07745061725.59
    249 rdf:type schema:Person
    250 sg:pub.10.1007/0-387-30744-3_20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045208267
    251 https://doi.org/10.1007/0-387-30744-3_20
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1007/s00248-002-2015-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1008945211
    254 https://doi.org/10.1007/s00248-002-2015-y
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1007/s00253-014-5646-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025403642
    257 https://doi.org/10.1007/s00253-014-5646-2
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1007/s00253-016-7845-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002186251
    260 https://doi.org/10.1007/s00253-016-7845-5
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1007/s12275-017-7202-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099694624
    263 https://doi.org/10.1007/s12275-017-7202-0
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1038/ismej.2009.128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020093960
    266 https://doi.org/10.1038/ismej.2009.128
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1038/ismej.2009.147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053539443
    269 https://doi.org/10.1038/ismej.2009.147
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1038/s41587-020-0548-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1128090688
    272 https://doi.org/10.1038/s41587-020-0548-6
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1038/s41598-019-43280-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1113875015
    275 https://doi.org/10.1038/s41598-019-43280-w
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1186/1472-6785-13-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018934601
    278 https://doi.org/10.1186/1472-6785-13-11
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1186/gb-2011-12-6-r60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000243423
    281 https://doi.org/10.1186/gb-2011-12-6-r60
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1186/s12864-015-1646-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036934632
    284 https://doi.org/10.1186/s12864-015-1646-6
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1186/s12864-018-4959-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105932478
    287 https://doi.org/10.1186/s12864-018-4959-4
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1186/s40168-018-0590-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110232183
    290 https://doi.org/10.1186/s40168-018-0590-5
    291 rdf:type schema:CreativeWork
    292 grid-institutes:grid.213876.9 schema:alternateName Department of Poultry Science, University of Georgia, 30602, Athens, GA, USA
    293 schema:name Department of Poultry Science, University of Georgia, 30602, Athens, GA, USA
    294 rdf:type schema:Organization
    295 grid-institutes:grid.417548.b schema:alternateName United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA
    296 schema:name United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA
    297 rdf:type schema:Organization
    298 grid-institutes:grid.508984.8 schema:alternateName United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Statistic Group, 20705, Beltsville, MD, USA
    299 schema:name United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Animal Biosciences and Biotechnology Laboratory (ABBL), Beltsville, 10300 Baltimore Avenue, B-200, Rm. 100B, BARC-East, 20705, Beltsville, MD, USA
    300 United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Northeast Area (NEA), Statistic Group, 20705, Beltsville, MD, USA
    301 rdf:type schema:Organization
     




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


    ...