@article{SickelAnkenbrandGrimmeretal.2015,
  author    = {Sickel, Wiebke and Ankenbrand, Markus J. and Grimmer, Gudrun and Holzschuh, Andrea and H{\"a}rtel, Stephan and Lanzen, Jonathan and Steffan-Dewenter, Ingolf and Keller, Alexander},
  title     = {Increased efficiency in identifying mixed pollen samples by meta-barcoding with a dual-indexing approach},
  series = {BMC Ecology},
  volume    = {15},
  journal   = {BMC Ecology},
  number    = {20},
  doi       = {10.1186/s12898-015-0051-y},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-125730},
  year      = {2015},
  abstract  = {Background Meta-barcoding of mixed pollen samples constitutes a suitable alternative to conventional pollen identification via light microscopy. Current approaches however have limitations in practicability due to low sample throughput and/or inefficient processing methods, e.g. separate steps for amplification and sample indexing. Results We thus developed a new primer-adapter design for high throughput sequencing with the Illumina technology that remedies these issues. It uses a dual-indexing strategy, where sample-specific combinations of forward and reverse identifiers attached to the barcode marker allow high sample throughput with a single sequencing run. It does not require further adapter ligation steps after amplification. We applied this protocol to 384 pollen samples collected by solitary bees and sequenced all samples together on a single Illumina MiSeq v2 flow cell. According to rarefaction curves, 2,000-3,000 high quality reads per sample were sufficient to assess the complete diversity of 95\% of the samples. We were able to detect 650 different plant taxa in total, of which 95\% were classified at the species level. Together with the laboratory protocol, we also present an update of the reference database used by the classifier software, which increases the total number of covered global plant species included in the database from 37,403 to 72,325 (93\% increase). Conclusions This study thus offers improvements for the laboratory and bioinformatical workflow to existing approaches regarding data quantity and quality as well as processing effort and cost-effectiveness. Although only tested for pollen samples, it is furthermore applicable to other research questions requiring plant identification in mixed and challenging samples.},
  language  = {en}
}
@article{Voulgari‐KokotaAnkenbrandGrimmeretal.2019,
  author    = {Voulgari-Kokota, Anna and Ankenbrand, Markus J. and Grimmer, Gudrun and Steffan-Dewenter, Ingolf and Keller, Alexander},
  title     = {Linking pollen foraging of megachilid bees to their nest bacterial microbiota},
  series = {Ecology and Evolution},
  volume    = {2019},
  journal   = {Ecology and Evolution},
  number    = {9},
  issn      = {00},
  doi       = {10.1002/ece3.5599},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-201749},
  pages     = {10788-10800},
  year      = {2019},
  abstract  = {Solitary bees build their nests by modifying the interior of natural cavities, and they provision them with food by importing collected pollen. As a result, the microbiota of the solitary bee nests may be highly dependent on introduced materials. In order to investigate how the collected pollen is associated with the nest microbiota, we used metabarcoding of the ITS2 rDNA and the 16S rDNA to simultaneously characterize the pollen composition and the bacterial communities of 100 solitary bee nest chambers belonging to seven megachilid species. We found a weak correlation between bacterial and pollen alpha diversity and significant associations between the composition of pollen and that of the nest microbiota, contributing to the understanding of the link between foraging and bacteria acquisition for solitary bees. Since solitary bees cannot establish bacterial transmission routes through eusociality, this link could be essential for obtaining bacterial symbionts for this group of valuable pollinators.},
  language  = {en}
}