Journal article
Application of plant metabarcoding to identify diverse honeybee pollen forage along an urban–agricultural gradient
MOLECULAR ECOLOGY, v 30(1), pp 310-323
Jan 2021
PMID: 33098151
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Understanding animal foraging ecology requires large sample sizes spanning broad environmental and temporal gradients. For pollinators, this has been hampered by the laborious nature of morphologically identifying pollen. Identifying pollen from urban environments is particularly difficult due to the presence of diverse ornamental species associated with consumer horticulture. Metagenetic pollen analysis represents a potential solution to this issue. Building upon prior laboratory and bioinformatic methods, we applied quantitative multilocus metabarcoding to characterize the foraging ecology of honeybee colonies situated in urban, suburban, mixed suburban-agricultural and rural agricultural sites in central Ohio, USA. In cross-validating a subset of our metabarcoding results using microscopic palynology, we find strong concordance between the molecular and microscopic methods. Our results suggest that forage from the agricultural site exhibited decreased taxonomic diversity and temporal turnover relative to the urban and suburban sites, though the generalization of this observation will require replication across additional sites and cities. Our work demonstrates the power of honeybees as environmental samplers of floral community composition at large spatial scales, aiding in the distinction of taxa characteristically associated with urban or agricultural land use from those distributed ubiquitously across the sampled landscapes. Observed patterns of high forage diversity and compositional turnover in our more urban sites are likely reflective of the fine-grain heterogeneity and high beta diversity of urban floral landscapes at the scale of honeybee foraging. This provides guidance for future studies investigating how relationships between urbanization and measures of pollinator health are mediated by variation in floral resource dynamics across landscapes.
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Details
- Title
- Application of plant metabarcoding to identify diverse honeybee pollen forage along an urban–agricultural gradient
- Creators
- Rodney T. Richardson - University of Maryland Center for Environmental ScienceTyler D. Eaton - The Ohio State UniversityChia‐Hua Lin - The Ohio State UniversityGarrett Cherry - The Ohio State UniversityReed M. Johnson - The Ohio State UniversityDouglas B. Sponsler - Drexel University
- Publication Details
- MOLECULAR ECOLOGY, v 30(1), pp 310-323
- Publisher
- WILEY; HOBOKEN
- Number of pages
- 13
- Grant note
- Pollinator Partnership Corn Dust Research Consortium; state and federal funds appropriated to The Ohio State University, Ohio Agricultural Research and Development Center, Grant/Award Number: OHO01277 and OHO01355-MRF; Project Apis m.-Costco honeybee Biology Fellowship; OARDC SEEDS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Academy of Natural Sciences of Drexel University
- Web of Science ID
- WOS:000587922100001
- Scopus ID
- 2-s2.0-85096768477
- Other Identifier
- 991021860756104721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Biochemistry & Molecular Biology
- Ecology
- Evolutionary Biology