Rank-Based Characterization of Pollen Assemblages Collected by Honey Bees Using a Multi-Locus Metabarcoding Approach
Rodney T. Richardson, Chia-Hua Lin, Juan O. Quijia, Natalia S. Riusech, Karen Goodell, and Reed M. Johnson. 2015. Applications in Plant Sciences 3(11):1500043. doi: http://dx.doi.org/10.3732/apps.1500043.
Difficulties inherent in microscopic pollen identification have resulted in limited implementation for large-scale studies. Metabarcoding, a relatively novel approach, could make pollen analysis less onerous; however, improved understanding of the quantitative capacity of various plant metabarcode regions and primer sets is needed to ensure that such applications are accurate and precise. We applied metabarcoding, targeting the ITS2, matK, and rbcL loci, to characterize six samples of pollen collected by honey bees, Apis mellifera. Additionally, samples were analyzed by light microscopy. We found significant rank-based associations between the relative abundance of pollen types within our samples as inferred by the two methods. Our findings suggest metabarcoding data from plastid loci, as opposed to the ribosomal locus, are more reliable for quantitative characterization of pollen assemblages. Furthermore, multilocus metabarcoding of pollen may be more reliable than single-locus analyses, underscoring the need for discovering novel barcodes and barcode combinations optimized for molecular palynology.
A new species of myrmecophile mite of the genus Oplitis (Acari: Mesostigmata: Oplitidae) from Brazil
Juliana Mendonça dos Santos Lopes, Anibal Ramadan Oliveira, Jacques Hubert Charles Delabie & Hans Klompen. 2015. International Journal of Acarology. DOI:10.1080/01647954.2015.1096960.
Oplitis apicalis sp. nov. (Uropodina: Oplitidae) is described from three related species of ants in the genus Neoponera Emery, 1901 (Formicidae: Ponerinae) from the state of Bahia, northeastern Brazil.