Quantitative multi-locus metabarcoding and waggle dance interpretation reveal honey bee spring foraging patterns in Midwest agroecosystems.
Identifieur interne : 000417 ( Main/Exploration ); précédent : 000416; suivant : 000418Quantitative multi-locus metabarcoding and waggle dance interpretation reveal honey bee spring foraging patterns in Midwest agroecosystems.
Auteurs : Rodney T. Richardson [États-Unis] ; Hailey R. Curtis [États-Unis] ; Emma G. Matcham [États-Unis] ; Chia-Hua Lin [États-Unis] ; Sreelakshmi Suresh [États-Unis] ; Douglas B. Sponsler [États-Unis] ; Luke E. Hearon [États-Unis] ; Reed M. Johnson [États-Unis]Source :
- Molecular ecology [ 1365-294X ] ; 2019.
Descripteurs français
- KwdFr :
- MESH :
- génétique : Pollen.
- physiologie : Abeilles.
- Animaux, Bases de données d'acides nucléiques, Codage à barres de l'ADN pour la taxonomie, Comportement animal, Comportement appétitif, Ohio, Saisons.
English descriptors
- KwdEn :
- MESH :
- geographic : Ohio.
- genetics : Pollen.
- physiology : Bees.
- Animals, Appetitive Behavior, Behavior, Animal, DNA Barcoding, Taxonomic, Databases, Nucleic Acid, Seasons.
Abstract
We explored the pollen foraging behaviour of honey bee colonies situated in the corn and soybean dominated agroecosystems of central Ohio over a month-long period using both pollen metabarcoding and waggle dance inference of spatial foraging patterns. For molecular pollen analysis, we developed simple and cost-effective laboratory and bioinformatics methods. Targeting four plant barcode loci (ITS2, rbcL, trnL and trnH), we implemented metabarcoding library preparation and dual-indexing protocols designed to minimize amplification biases and index mistagging events. We constructed comprehensive, curated reference databases for hierarchical taxonomic classification of metabarcoding data and used these databases to train the metaxa2 DNA sequence classifier. Comparisons between morphological and molecular palynology provide strong support for the quantitative potential of multi-locus metabarcoding. Results revealed consistent foraging habits between locations and show clear trends in the phenological progression of honey bee spring foraging in these agricultural areas. Our data suggest that three key taxa, woody Rosaceae such as pome fruits and hawthorns, Salix, and Trifolium provided the majority of pollen nutrition during the study. Spatially, these foraging patterns were associated with a significant preference for forests and tree lines relative to herbaceous land cover and nonflowering crop fields.
DOI: 10.1111/mec.14975
PubMed: 30549365
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<term>Appetitive Behavior (MeSH)</term>
<term>Bees (physiology)</term>
<term>Behavior, Animal (MeSH)</term>
<term>DNA Barcoding, Taxonomic (MeSH)</term>
<term>Databases, Nucleic Acid (MeSH)</term>
<term>Ohio (MeSH)</term>
<term>Pollen (genetics)</term>
<term>Seasons (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Abeilles (physiologie)</term>
<term>Animaux (MeSH)</term>
<term>Bases de données d'acides nucléiques (MeSH)</term>
<term>Codage à barres de l'ADN pour la taxonomie (MeSH)</term>
<term>Comportement animal (MeSH)</term>
<term>Comportement appétitif (MeSH)</term>
<term>Ohio (MeSH)</term>
<term>Pollen (génétique)</term>
<term>Saisons (MeSH)</term>
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<front><div type="abstract" xml:lang="en">We explored the pollen foraging behaviour of honey bee colonies situated in the corn and soybean dominated agroecosystems of central Ohio over a month-long period using both pollen metabarcoding and waggle dance inference of spatial foraging patterns. For molecular pollen analysis, we developed simple and cost-effective laboratory and bioinformatics methods. Targeting four plant barcode loci (ITS2, rbcL, trnL and trnH), we implemented metabarcoding library preparation and dual-indexing protocols designed to minimize amplification biases and index mistagging events. We constructed comprehensive, curated reference databases for hierarchical taxonomic classification of metabarcoding data and used these databases to train the metaxa2 DNA sequence classifier. Comparisons between morphological and molecular palynology provide strong support for the quantitative potential of multi-locus metabarcoding. Results revealed consistent foraging habits between locations and show clear trends in the phenological progression of honey bee spring foraging in these agricultural areas. Our data suggest that three key taxa, woody Rosaceae such as pome fruits and hawthorns, Salix, and Trifolium provided the majority of pollen nutrition during the study. Spatially, these foraging patterns were associated with a significant preference for forests and tree lines relative to herbaceous land cover and nonflowering crop fields.</div>
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<Abstract><AbstractText>We explored the pollen foraging behaviour of honey bee colonies situated in the corn and soybean dominated agroecosystems of central Ohio over a month-long period using both pollen metabarcoding and waggle dance inference of spatial foraging patterns. For molecular pollen analysis, we developed simple and cost-effective laboratory and bioinformatics methods. Targeting four plant barcode loci (ITS2, rbcL, trnL and trnH), we implemented metabarcoding library preparation and dual-indexing protocols designed to minimize amplification biases and index mistagging events. We constructed comprehensive, curated reference databases for hierarchical taxonomic classification of metabarcoding data and used these databases to train the metaxa2 DNA sequence classifier. Comparisons between morphological and molecular palynology provide strong support for the quantitative potential of multi-locus metabarcoding. Results revealed consistent foraging habits between locations and show clear trends in the phenological progression of honey bee spring foraging in these agricultural areas. Our data suggest that three key taxa, woody Rosaceae such as pome fruits and hawthorns, Salix, and Trifolium provided the majority of pollen nutrition during the study. Spatially, these foraging patterns were associated with a significant preference for forests and tree lines relative to herbaceous land cover and nonflowering crop fields.</AbstractText>
<CopyrightInformation>© 2018 John Wiley & Sons Ltd.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Richardson</LastName>
<ForeName>Rodney T</ForeName>
<Initials>RT</Initials>
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<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><Agency>Project Apis m.-Costco Honey Bee Biology Fellowship</Agency>
<Country>International</Country>
</Grant>
<Grant><Agency>Pollinator Partnership Corn Dust Research Consortium grant</Agency>
<Country>International</Country>
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<Agency>state and federal funds appropriated to The Ohio State University, Ohio Agricultural Research and Development Center</Agency>
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<Keyword MajorTopicYN="Y">molecular palynology</Keyword>
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<name sortKey="Curtis, Hailey R" sort="Curtis, Hailey R" uniqKey="Curtis H" first="Hailey R" last="Curtis">Hailey R. Curtis</name>
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<name sortKey="Johnson, Reed M" sort="Johnson, Reed M" uniqKey="Johnson R" first="Reed M" last="Johnson">Reed M. Johnson</name>
<name sortKey="Lin, Chia Hua" sort="Lin, Chia Hua" uniqKey="Lin C" first="Chia-Hua" last="Lin">Chia-Hua Lin</name>
<name sortKey="Matcham, Emma G" sort="Matcham, Emma G" uniqKey="Matcham E" first="Emma G" last="Matcham">Emma G. Matcham</name>
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<name sortKey="Suresh, Sreelakshmi" sort="Suresh, Sreelakshmi" uniqKey="Suresh S" first="Sreelakshmi" last="Suresh">Sreelakshmi Suresh</name>
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