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A comparison of honey bee-collected pollen from working agricultural lands using light microscopy and ITS metabarcoding

January 9, 2017

Taxonomic identification of pollen has historically been accomplished via light microscopy but requires specialized knowledge and reference collections, particularly when identification to lower taxonomic levels is necessary. Recently, next-generation sequencing technology has been used as a cost-effective alternative for identifying bee-collected pollen; however, this novel approach has not been tested on a spatially or temporally robust number of pollen samples. Here, we compare pollen identification results derived from light microscopy and DNA sequencing techniques with samples collected from honey bee colonies embedded within a gradient of intensive agricultural landscapes in the Northern Great Plains throughout the 2010–2011 growing seasons. We demonstrate that at all taxonomic levels, DNA sequencing was able to discern a greater number of taxa, and was particularly useful for the identification of infrequently detected species. Importantly, substantial phenological overlap did occur for commonly detected taxa using either technique, suggesting that DNA sequencing is an appropriate, and enhancing, substitutive technique for accurately capturing the breadth of bee-collected species of pollen present across agricultural landscapes. We also show that honey bees located in high and low intensity agricultural settings forage on dissimilar plants, though with overlap of the most abundantly collected pollen taxa. We highlight practical applications of utilizing sequencing technology, including addressing ecological issues surrounding land use, climate change, importance of taxa relative to abundance, and evaluating the impact of conservation program habitat enhancement efforts.

Publication Year 2017
Title A comparison of honey bee-collected pollen from working agricultural lands using light microscopy and ITS metabarcoding
DOI 10.1093/ee/nvw159
Authors Matthew Smart, Robert S. Cornman, Deborah D. Iwanowicz, Margaret McDermott-Kubeczko, Jeff S Pettis, Marla S Spivak, Clint R.V. Otto
Publication Type Article
Publication Subtype Journal Article
Series Title Environmental Entomology
Index ID 70179643
Record Source USGS Publications Warehouse
USGS Organization Fort Collins Science Center; Leetown Science Center; Northern Prairie Wildlife Research Center