Nutrigenomics in honey bees: digital gene expression analysis of pollen's nutritive effects on healthy and varroa-parasitized bees View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-10-10

AUTHORS

Cédric Alaux, Christelle Dantec, Hughes Parrinello, Yves Le Conte

ABSTRACT

BackgroundMalnutrition is a major factor affecting animal health, resistance to disease and survival. In honey bees (Apis mellifera), pollen, which is the main dietary source of proteins, amino acids and lipids, is essential to adult bee physiological development while reducing their susceptibility to parasites and pathogens. However, the molecular mechanisms underlying pollen's nutritive impact on honey bee health remained to be determined. For that purpose, we investigated the influence of pollen nutrients on the transcriptome of worker bees parasitized by the mite Varroa destructor, known for suppressing immunity and decreasing lifespan. The 4 experimental groups (control bees without a pollen diet, control bees fed with pollen, varroa-parasitized bees without a pollen diet and varroa-parasitized bees fed with pollen) were analyzed by performing a digital gene expression (DGE) analysis on bee abdomens.ResultsAround 36, 000 unique tags were generated per DGE-tag library, which matched about 8, 000 genes (60% of the genes in the honey bee genome). Comparing the transcriptome of bees fed with pollen and sugar and bees restricted to a sugar diet, we found that pollen activates nutrient-sensing and metabolic pathways. In addition, those nutrients had a positive influence on genes affecting longevity and the production of some antimicrobial peptides. However, varroa parasitism caused the development of viral populations and a decrease in metabolism, specifically by inhibiting protein metabolism essential to bee health. This harmful effect was not reversed by pollen intake.ConclusionsThe DGE-tag profiling methods used in this study proved to be a powerful means for analyzing transcriptome variation related to nutrient intake in honey bees. Ultimately, with such an approach, applying genomics tools to nutrition research, nutrigenomics promises to offer a better understanding of how nutrition influences body homeostasis and may help reduce the susceptibility of bees to (less virulent) pathogens. More... »

PAGES

496

References to SciGraph publications

  • 2010-06-24. De novo characterization of a whitefly transcriptome and analysis of its gene expression during development in BMC GENOMICS
  • 2008-06-25. Differential gene expression of the honey bee Apis mellifera associated with Varroa destructor infection in BMC GENOMICS
  • 1987. EINFLUSS DER PARASITIERUNG DURCH DIE MILBE VARROA JACOBSONI OUD. AUF DAS SCHLUPFGEWICHT, DIE GEWICHTSENTWICKLUNG, DIE ENTWICKLUNG DER HYPOPHARYNXDRÜSEN UND DIE LEBENSDAUER VON APIS MELLIFERA L. in APIDOLOGIE
  • 2008-08. Tuning gene expression to changing environments: from rapid responses to evolutionary adaptation in NATURE REVIEWS GENETICS
  • 2006-10. Insights into social insects from the genome of the honeybee Apis mellifera in NATURE
  • 2000-03. Pollen nutritional content and digestibility for animals in PLANT SYSTEMATICS AND EVOLUTION
  • 2010-11-06. Digital gene expression tag profiling of bat digits provides robust candidates contributing to wing formation in BMC GENOMICS
  • 2010-01-20. Nutritional control of gene expression in Drosophila larvae via TOR, Myc and a novel cis-regulatory element in BMC MOLECULAR AND CELL BIOLOGY
  • 2004-11-26. GOToolBox: functional analysis of gene datasets based on Gene Ontology in GENOME BIOLOGY
  • 2004-07. The energy and nutritional demand of the parasitic life of the mite Varroa destructor in APIDOLOGIE
  • 1974. Pollen, Biology Biochemistry Management in NONE
  • 2010-04-21. Nutrition and health in honey bees in APIDOLOGIE
  • 2003-04. Nutrigenomics: goals and strategies in NATURE REVIEWS GENETICS
  • 2000-05. Pollen quality of fresh and 1-year-old single pollen diets for worker honey bees (Apis mellifera L.) in APIDOLOGIE
  • 2008-12-18. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources in NATURE PROTOCOLS
  • 2006-03-28. Localization of deformed wing virus infection in queen and drone Apis mellifera L in VIROLOGY JOURNAL
  • 1983-08. Influence of pollen feeding and physiological condition on pesticide sensitivity of the honey bee Apis mellifera carnica in OECOLOGIA
  • 2010-05-05. A comparison of massively parallel nucleotide sequencing with oligonucleotide microarrays for global transcription profiling in BMC GENOMICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2164-12-496

    DOI

    http://dx.doi.org/10.1186/1471-2164-12-496

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1028013194

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21985689


    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/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0608", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Zoology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Abdomen", 
            "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": "Bees", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Carbohydrates", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Longevity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Nutrigenomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Pollen", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Signal Transduction", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "TOR Serine-Threonine Kinases", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Transcriptome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Varroidae", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "INRA, UMR 406 Abeilles et Environnement, Domaine Saint-Paul, 84914, Avignon, France", 
              "id": "http://www.grid.ac/institutes/grid.507621.7", 
              "name": [
                "INRA, UMR 406 Abeilles et Environnement, Domaine Saint-Paul, 84914, Avignon, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Alaux", 
            "givenName": "C\u00e9dric", 
            "id": "sg:person.01170206413.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170206413.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institut de G\u00e9nomique Fonctionnelle, UMR5203 CNRS, U661 INSERM, Universit\u00e9s Montpellier 1 & 2, 34094, Montpellier Cedex 05, France", 
              "id": "http://www.grid.ac/institutes/grid.461890.2", 
              "name": [
                "Institut de G\u00e9nomique Fonctionnelle, UMR5203 CNRS, U661 INSERM, Universit\u00e9s Montpellier 1 & 2, 34094, Montpellier Cedex 05, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dantec", 
            "givenName": "Christelle", 
            "id": "sg:person.0760330007.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760330007.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institut de G\u00e9nomique Fonctionnelle, UMR5203 CNRS, U661 INSERM, Universit\u00e9s Montpellier 1 & 2, 34094, Montpellier Cedex 05, France", 
              "id": "http://www.grid.ac/institutes/grid.461890.2", 
              "name": [
                "Institut de G\u00e9nomique Fonctionnelle, UMR5203 CNRS, U661 INSERM, Universit\u00e9s Montpellier 1 & 2, 34094, Montpellier Cedex 05, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Parrinello", 
            "givenName": "Hughes", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "INRA, UMR 406 Abeilles et Environnement, Domaine Saint-Paul, 84914, Avignon, France", 
              "id": "http://www.grid.ac/institutes/grid.507621.7", 
              "name": [
                "INRA, UMR 406 Abeilles et Environnement, Domaine Saint-Paul, 84914, Avignon, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Le Conte", 
            "givenName": "Yves", 
            "id": "sg:person.01223471277.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223471277.66"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/gb-2004-5-12-r101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030306020", 
              "https://doi.org/10.1186/gb-2004-5-12-r101"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2121-11-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021125853", 
              "https://doi.org/10.1186/1471-2121-11-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1051/apido/2010012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056950440", 
              "https://doi.org/10.1051/apido/2010012"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-11-619", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032358187", 
              "https://doi.org/10.1186/1471-2164-11-619"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00984102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015011951", 
              "https://doi.org/10.1007/bf00984102"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-11-400", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024648987", 
              "https://doi.org/10.1186/1471-2164-11-400"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1051/apido:2000130", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029739042", 
              "https://doi.org/10.1051/apido:2000130"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-65905-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004601752", 
              "https://doi.org/10.1007/978-3-642-65905-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00388082", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006108869", 
              "https://doi.org/10.1007/bf00388082"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1051/apido:2004032", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029395057", 
              "https://doi.org/10.1051/apido:2004032"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1743-422x-3-16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048185877", 
              "https://doi.org/10.1186/1743-422x-3-16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-9-301", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005018602", 
              "https://doi.org/10.1186/1471-2164-9-301"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1047", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024231775", 
              "https://doi.org/10.1038/nrg1047"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature05260", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033687011", 
              "https://doi.org/10.1038/nature05260"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-11-282", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008198713", 
              "https://doi.org/10.1186/1471-2164-11-282"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2398", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022799441", 
              "https://doi.org/10.1038/nrg2398"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1051/apido:19870108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035551617", 
              "https://doi.org/10.1051/apido:19870108"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2008.211", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039987283", 
              "https://doi.org/10.1038/nprot.2008.211"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011-10-10", 
        "datePublishedReg": "2011-10-10", 
        "description": "BackgroundMalnutrition is a major factor affecting animal health, resistance to disease and survival. In honey bees (Apis mellifera), pollen, which is the main dietary source of proteins, amino acids and lipids, is essential to adult bee physiological development while reducing their susceptibility to parasites and pathogens. However, the molecular mechanisms underlying pollen's nutritive impact on honey bee health remained to be determined. For that purpose, we investigated the influence of pollen nutrients on the transcriptome of worker bees parasitized by the mite Varroa destructor, known for suppressing immunity and decreasing lifespan. The 4 experimental groups (control bees without a pollen diet, control bees fed with pollen, varroa-parasitized bees without a pollen diet and varroa-parasitized bees fed with pollen) were analyzed by performing a digital gene expression (DGE) analysis on bee abdomens.ResultsAround 36, 000 unique tags were generated per DGE-tag library, which matched about 8, 000 genes (60% of the genes in the honey bee genome). Comparing the transcriptome of bees fed with pollen and sugar and bees restricted to a sugar diet, we found that pollen activates nutrient-sensing and metabolic pathways. In addition, those nutrients had a positive influence on genes affecting longevity and the production of some antimicrobial peptides. However, varroa parasitism caused the development of viral populations and a decrease in metabolism, specifically by inhibiting protein metabolism essential to bee health. This harmful effect was not reversed by pollen intake.ConclusionsThe DGE-tag profiling methods used in this study proved to be a powerful means for analyzing transcriptome variation related to nutrient intake in honey bees. Ultimately, with such an approach, applying genomics tools to nutrition research, nutrigenomics promises to offer a better understanding of how nutrition influences body homeostasis and may help reduce the susceptibility of bees to (less virulent) pathogens.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/1471-2164-12-496", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1023790", 
            "issn": [
              "1471-2164"
            ], 
            "name": "BMC Genomics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "12"
          }
        ], 
        "keywords": [
          "digital gene expression analysis", 
          "gene expression analysis", 
          "honey bees", 
          "bee health", 
          "expression analysis", 
          "susceptibility of bees", 
          "honey bee health", 
          "mite Varroa destructor", 
          "Varroa parasitism", 
          "transcriptome variation", 
          "genomic tools", 
          "pollen nutrients", 
          "pollen intake", 
          "worker bees", 
          "Varroa destructor", 
          "bee abdomens", 
          "molecular mechanisms", 
          "nutritive effects", 
          "bees", 
          "unique tags", 
          "metabolic pathways", 
          "amino acids", 
          "viral populations", 
          "transcriptome", 
          "antimicrobial peptides", 
          "protein metabolism", 
          "physiological development", 
          "body homeostasis", 
          "genes", 
          "profiling method", 
          "pollen", 
          "animal health", 
          "nutrigenomics", 
          "pathogens", 
          "nutrients", 
          "metabolism", 
          "sugar diet", 
          "parasitism", 
          "powerful means", 
          "nutrition research", 
          "dietary sources", 
          "destructor", 
          "protein", 
          "homeostasis", 
          "main dietary source", 
          "parasites", 
          "better understanding", 
          "pathway", 
          "tags", 
          "susceptibility", 
          "longevity", 
          "lifespan", 
          "abdomens", 
          "major factor", 
          "lipids", 
          "peptides", 
          "sugars", 
          "harmful effects", 
          "library", 
          "acid", 
          "development", 
          "mechanism", 
          "population", 
          "production", 
          "immunity", 
          "survival", 
          "variation", 
          "analysis", 
          "resistance", 
          "understanding", 
          "diet", 
          "effect", 
          "factors", 
          "addition", 
          "disease", 
          "health", 
          "positive influence", 
          "tool", 
          "decrease", 
          "source", 
          "study", 
          "influence", 
          "nutrient intake", 
          "impact", 
          "group", 
          "approach", 
          "intake", 
          "research", 
          "means", 
          "method", 
          "experimental group", 
          "purpose", 
          "BackgroundMalnutrition"
        ], 
        "name": "Nutrigenomics in honey bees: digital gene expression analysis of pollen's nutritive effects on healthy and varroa-parasitized bees", 
        "pagination": "496", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1028013194"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/1471-2164-12-496"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "21985689"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/1471-2164-12-496", 
          "https://app.dimensions.ai/details/publication/pub.1028013194"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-10-01T06:36", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_537.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/1471-2164-12-496"
      }
    ]
     

    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.10.1186/1471-2164-12-496'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-12-496'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-12-496'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-12-496'


     

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

    300 TRIPLES      21 PREDICATES      149 URIs      122 LITERALS      19 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/1471-2164-12-496 schema:about N0854157472c146b7a8497767cc8fdee2
    2 N109e36724cac4e4ea1a7b7aa60efdac3
    3 N6f1f09173769483f80a5ea93264453eb
    4 N76ab88e7741c4de3885d40ee475c3e6a
    5 N8166c58ac61c4fda9893d5cb62b395a9
    6 N8d67830328fb4f11a737450a1dc6f076
    7 N8ecf0df6fce746fcb392d614f0c95f7e
    8 N93078ed6af30462abeb367922d29a1fb
    9 Nb6d3270491aa4813bcb3260477b0b211
    10 Nb6fc559fbed841879816de14200c1524
    11 Nc5fd3cf1d6b146bc9a8115360013fe6e
    12 Nd8b018d2af924a50ad9f2a3785ba6bbd
    13 anzsrc-for:06
    14 anzsrc-for:0604
    15 anzsrc-for:0608
    16 schema:author Nb93e3621ec284cf5a62516e00e129d8f
    17 schema:citation sg:pub.10.1007/978-3-642-65905-8
    18 sg:pub.10.1007/bf00388082
    19 sg:pub.10.1007/bf00984102
    20 sg:pub.10.1038/nature05260
    21 sg:pub.10.1038/nprot.2008.211
    22 sg:pub.10.1038/nrg1047
    23 sg:pub.10.1038/nrg2398
    24 sg:pub.10.1051/apido/2010012
    25 sg:pub.10.1051/apido:19870108
    26 sg:pub.10.1051/apido:2000130
    27 sg:pub.10.1051/apido:2004032
    28 sg:pub.10.1186/1471-2121-11-7
    29 sg:pub.10.1186/1471-2164-11-282
    30 sg:pub.10.1186/1471-2164-11-400
    31 sg:pub.10.1186/1471-2164-11-619
    32 sg:pub.10.1186/1471-2164-9-301
    33 sg:pub.10.1186/1743-422x-3-16
    34 sg:pub.10.1186/gb-2004-5-12-r101
    35 schema:datePublished 2011-10-10
    36 schema:datePublishedReg 2011-10-10
    37 schema:description BackgroundMalnutrition is a major factor affecting animal health, resistance to disease and survival. In honey bees (Apis mellifera), pollen, which is the main dietary source of proteins, amino acids and lipids, is essential to adult bee physiological development while reducing their susceptibility to parasites and pathogens. However, the molecular mechanisms underlying pollen's nutritive impact on honey bee health remained to be determined. For that purpose, we investigated the influence of pollen nutrients on the transcriptome of worker bees parasitized by the mite Varroa destructor, known for suppressing immunity and decreasing lifespan. The 4 experimental groups (control bees without a pollen diet, control bees fed with pollen, varroa-parasitized bees without a pollen diet and varroa-parasitized bees fed with pollen) were analyzed by performing a digital gene expression (DGE) analysis on bee abdomens.ResultsAround 36, 000 unique tags were generated per DGE-tag library, which matched about 8, 000 genes (60% of the genes in the honey bee genome). Comparing the transcriptome of bees fed with pollen and sugar and bees restricted to a sugar diet, we found that pollen activates nutrient-sensing and metabolic pathways. In addition, those nutrients had a positive influence on genes affecting longevity and the production of some antimicrobial peptides. However, varroa parasitism caused the development of viral populations and a decrease in metabolism, specifically by inhibiting protein metabolism essential to bee health. This harmful effect was not reversed by pollen intake.ConclusionsThe DGE-tag profiling methods used in this study proved to be a powerful means for analyzing transcriptome variation related to nutrient intake in honey bees. Ultimately, with such an approach, applying genomics tools to nutrition research, nutrigenomics promises to offer a better understanding of how nutrition influences body homeostasis and may help reduce the susceptibility of bees to (less virulent) pathogens.
    38 schema:genre article
    39 schema:isAccessibleForFree true
    40 schema:isPartOf N36e9800026c24729a4443480a22d704b
    41 N826d8daba21d4915945027fc371941bf
    42 sg:journal.1023790
    43 schema:keywords BackgroundMalnutrition
    44 Varroa destructor
    45 Varroa parasitism
    46 abdomens
    47 acid
    48 addition
    49 amino acids
    50 analysis
    51 animal health
    52 antimicrobial peptides
    53 approach
    54 bee abdomens
    55 bee health
    56 bees
    57 better understanding
    58 body homeostasis
    59 decrease
    60 destructor
    61 development
    62 diet
    63 dietary sources
    64 digital gene expression analysis
    65 disease
    66 effect
    67 experimental group
    68 expression analysis
    69 factors
    70 gene expression analysis
    71 genes
    72 genomic tools
    73 group
    74 harmful effects
    75 health
    76 homeostasis
    77 honey bee health
    78 honey bees
    79 immunity
    80 impact
    81 influence
    82 intake
    83 library
    84 lifespan
    85 lipids
    86 longevity
    87 main dietary source
    88 major factor
    89 means
    90 mechanism
    91 metabolic pathways
    92 metabolism
    93 method
    94 mite Varroa destructor
    95 molecular mechanisms
    96 nutrient intake
    97 nutrients
    98 nutrigenomics
    99 nutrition research
    100 nutritive effects
    101 parasites
    102 parasitism
    103 pathogens
    104 pathway
    105 peptides
    106 physiological development
    107 pollen
    108 pollen intake
    109 pollen nutrients
    110 population
    111 positive influence
    112 powerful means
    113 production
    114 profiling method
    115 protein
    116 protein metabolism
    117 purpose
    118 research
    119 resistance
    120 source
    121 study
    122 sugar diet
    123 sugars
    124 survival
    125 susceptibility
    126 susceptibility of bees
    127 tags
    128 tool
    129 transcriptome
    130 transcriptome variation
    131 understanding
    132 unique tags
    133 variation
    134 viral populations
    135 worker bees
    136 schema:name Nutrigenomics in honey bees: digital gene expression analysis of pollen's nutritive effects on healthy and varroa-parasitized bees
    137 schema:pagination 496
    138 schema:productId N5f793d73fcbc4ecea28a32fb4ea95961
    139 Nda11f67284374ea9931dd845a45de7cd
    140 Nf26fc76e4b724bd99145b9deaa491fa7
    141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028013194
    142 https://doi.org/10.1186/1471-2164-12-496
    143 schema:sdDatePublished 2022-10-01T06:36
    144 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    145 schema:sdPublisher N4b1ddbc052204f2092274d3df0b0b269
    146 schema:url https://doi.org/10.1186/1471-2164-12-496
    147 sgo:license sg:explorer/license/
    148 sgo:sdDataset articles
    149 rdf:type schema:ScholarlyArticle
    150 N0854157472c146b7a8497767cc8fdee2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name Nutrigenomics
    152 rdf:type schema:DefinedTerm
    153 N109e36724cac4e4ea1a7b7aa60efdac3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    154 schema:name TOR Serine-Threonine Kinases
    155 rdf:type schema:DefinedTerm
    156 N36e9800026c24729a4443480a22d704b schema:issueNumber 1
    157 rdf:type schema:PublicationIssue
    158 N3dba292fa5e745df8e765d36db485b67 rdf:first Na999219d13c942338b835aed562443f4
    159 rdf:rest Nfabdd7ac961c48908244d6d58d16b613
    160 N444a55952f1d48a6b6bc5b8ad7f72d54 rdf:first sg:person.0760330007.08
    161 rdf:rest N3dba292fa5e745df8e765d36db485b67
    162 N4b1ddbc052204f2092274d3df0b0b269 schema:name Springer Nature - SN SciGraph project
    163 rdf:type schema:Organization
    164 N5f793d73fcbc4ecea28a32fb4ea95961 schema:name dimensions_id
    165 schema:value pub.1028013194
    166 rdf:type schema:PropertyValue
    167 N6f1f09173769483f80a5ea93264453eb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    168 schema:name Pollen
    169 rdf:type schema:DefinedTerm
    170 N76ab88e7741c4de3885d40ee475c3e6a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    171 schema:name Bees
    172 rdf:type schema:DefinedTerm
    173 N8166c58ac61c4fda9893d5cb62b395a9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    174 schema:name Carbohydrates
    175 rdf:type schema:DefinedTerm
    176 N826d8daba21d4915945027fc371941bf schema:volumeNumber 12
    177 rdf:type schema:PublicationVolume
    178 N8d67830328fb4f11a737450a1dc6f076 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    179 schema:name Abdomen
    180 rdf:type schema:DefinedTerm
    181 N8ecf0df6fce746fcb392d614f0c95f7e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    182 schema:name Transcriptome
    183 rdf:type schema:DefinedTerm
    184 N93078ed6af30462abeb367922d29a1fb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    185 schema:name Antimicrobial Cationic Peptides
    186 rdf:type schema:DefinedTerm
    187 Na999219d13c942338b835aed562443f4 schema:affiliation grid-institutes:grid.461890.2
    188 schema:familyName Parrinello
    189 schema:givenName Hughes
    190 rdf:type schema:Person
    191 Nb6d3270491aa4813bcb3260477b0b211 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    192 schema:name Varroidae
    193 rdf:type schema:DefinedTerm
    194 Nb6fc559fbed841879816de14200c1524 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    195 schema:name Signal Transduction
    196 rdf:type schema:DefinedTerm
    197 Nb93e3621ec284cf5a62516e00e129d8f rdf:first sg:person.01170206413.18
    198 rdf:rest N444a55952f1d48a6b6bc5b8ad7f72d54
    199 Nc5fd3cf1d6b146bc9a8115360013fe6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    200 schema:name Animals
    201 rdf:type schema:DefinedTerm
    202 Nd8b018d2af924a50ad9f2a3785ba6bbd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    203 schema:name Longevity
    204 rdf:type schema:DefinedTerm
    205 Nda11f67284374ea9931dd845a45de7cd schema:name pubmed_id
    206 schema:value 21985689
    207 rdf:type schema:PropertyValue
    208 Nf26fc76e4b724bd99145b9deaa491fa7 schema:name doi
    209 schema:value 10.1186/1471-2164-12-496
    210 rdf:type schema:PropertyValue
    211 Nfabdd7ac961c48908244d6d58d16b613 rdf:first sg:person.01223471277.66
    212 rdf:rest rdf:nil
    213 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    214 schema:name Biological Sciences
    215 rdf:type schema:DefinedTerm
    216 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    217 schema:name Genetics
    218 rdf:type schema:DefinedTerm
    219 anzsrc-for:0608 schema:inDefinedTermSet anzsrc-for:
    220 schema:name Zoology
    221 rdf:type schema:DefinedTerm
    222 sg:journal.1023790 schema:issn 1471-2164
    223 schema:name BMC Genomics
    224 schema:publisher Springer Nature
    225 rdf:type schema:Periodical
    226 sg:person.01170206413.18 schema:affiliation grid-institutes:grid.507621.7
    227 schema:familyName Alaux
    228 schema:givenName Cédric
    229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170206413.18
    230 rdf:type schema:Person
    231 sg:person.01223471277.66 schema:affiliation grid-institutes:grid.507621.7
    232 schema:familyName Le Conte
    233 schema:givenName Yves
    234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223471277.66
    235 rdf:type schema:Person
    236 sg:person.0760330007.08 schema:affiliation grid-institutes:grid.461890.2
    237 schema:familyName Dantec
    238 schema:givenName Christelle
    239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760330007.08
    240 rdf:type schema:Person
    241 sg:pub.10.1007/978-3-642-65905-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004601752
    242 https://doi.org/10.1007/978-3-642-65905-8
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1007/bf00388082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006108869
    245 https://doi.org/10.1007/bf00388082
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1007/bf00984102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015011951
    248 https://doi.org/10.1007/bf00984102
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1038/nature05260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033687011
    251 https://doi.org/10.1038/nature05260
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1038/nprot.2008.211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039987283
    254 https://doi.org/10.1038/nprot.2008.211
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1038/nrg1047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024231775
    257 https://doi.org/10.1038/nrg1047
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1038/nrg2398 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022799441
    260 https://doi.org/10.1038/nrg2398
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1051/apido/2010012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056950440
    263 https://doi.org/10.1051/apido/2010012
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1051/apido:19870108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035551617
    266 https://doi.org/10.1051/apido:19870108
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1051/apido:2000130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029739042
    269 https://doi.org/10.1051/apido:2000130
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1051/apido:2004032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029395057
    272 https://doi.org/10.1051/apido:2004032
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1186/1471-2121-11-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021125853
    275 https://doi.org/10.1186/1471-2121-11-7
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1186/1471-2164-11-282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008198713
    278 https://doi.org/10.1186/1471-2164-11-282
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1186/1471-2164-11-400 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024648987
    281 https://doi.org/10.1186/1471-2164-11-400
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1186/1471-2164-11-619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032358187
    284 https://doi.org/10.1186/1471-2164-11-619
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1186/1471-2164-9-301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005018602
    287 https://doi.org/10.1186/1471-2164-9-301
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1186/1743-422x-3-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048185877
    290 https://doi.org/10.1186/1743-422x-3-16
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1186/gb-2004-5-12-r101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030306020
    293 https://doi.org/10.1186/gb-2004-5-12-r101
    294 rdf:type schema:CreativeWork
    295 grid-institutes:grid.461890.2 schema:alternateName Institut de Génomique Fonctionnelle, UMR5203 CNRS, U661 INSERM, Universités Montpellier 1 & 2, 34094, Montpellier Cedex 05, France
    296 schema:name Institut de Génomique Fonctionnelle, UMR5203 CNRS, U661 INSERM, Universités Montpellier 1 & 2, 34094, Montpellier Cedex 05, France
    297 rdf:type schema:Organization
    298 grid-institutes:grid.507621.7 schema:alternateName INRA, UMR 406 Abeilles et Environnement, Domaine Saint-Paul, 84914, Avignon, France
    299 schema:name INRA, UMR 406 Abeilles et Environnement, Domaine Saint-Paul, 84914, Avignon, France
    300 rdf:type schema:Organization
     




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


    ...