Description: Arctic regions have experienced pronounced biological and biophysical transformations as a result of global change processes over the last several decades. Current hypotheses propose an elevated impact of those environmental changes on the biodiversity, community composition and metabolic processes of species. The effects on ecosystem function and services, particularly when invasive or toxigenic harmful species become dominant, can be expressed over a wide range of temporal and spatial scales in plankton communities. Our study focused on the comparison of molecular biodiversity of three size-fractions (micro-, nano-, picoplankton) in the coastal pelagic zone of West Greenland and their association with environmental parameters. Molecular diversity was assessed via parallel amplicon sequencing the 28S rRNA hypervariable D1/D2 region. We showed that biodiversity distribution within the area of Uummannaq Fjord, Vaigat Strait and Disko Bay differed markedly within and among size-fractions. In general, we observed a higher diversity within the picoplankton size fraction compared to the nano- and microplankton. In multidimensional scaling analysis, community composition of all three size fractions correlated with cell size, silicate and phosphate, chlorophyll a (chl a) and dinophysistoxin (DTX). Individually, each size fraction community composition also correlated with other different environmental parameters, i.e. temperature and nitrate. We observed a more homogeneous community of the picoplankton across all stations compared to the larger size classes, despite different prevailing environmental conditions of the sampling areas. This suggests that habitat niche occupation for larger-celled species may lead to higher functional trait plasticity expressed as an enhanced range of phenotypes, whereas smaller organisms may compensate for lower potential plasticity with higher diversity. The presence of recently identified toxigenic harmful algal bloom (HAB) species (such as Alexandrium fundyense and A. ostenfeldii) in the area points out the potential risk for this vulnerable ecosystem in a changing world.

Description: Seventeen surface plankton tow samples were collected from piers at thirteen localities in Upper Bavaria (Germany) in April 2017 using a plankton net (mesh size 20µm). The localities included eleven lakes (one lake was sampled at two sites) and one subsidiary river, to cover standing and flowing bodies of water as well. Four sites had been sampled twice. Environmental DNA was extracted using the Genomic DNA from Soil kit (Machery-Nagel; Düren, Germany) following the manufacturer's protocol. The small subunit (SSU or 18S) of the ribosomal RNA (rRNA) operon V4 region (~410 bp) was the amplification target. Due to PCR biases or PCR errors that may artificially increase diversity, each PCR reaction was performed in triplicates. Forward and reverse primers were those used by Xiao et al. (2017) (DOI: 10.1007/s12010-016-2358-3). DNA amplification (PCR) for subsequent Illumina amplicon sequencing (Illumina; San Diego, USA-CA) was carried out using 5ng/µl template DNA, 1 µM of each primer and 2x KAPA Hifi HotStart Ready Mix (Roche; Penzberg, Germany). Resulting PCR products were visualised in 1% agarose gels and were purified using AMPure XP Beads (Beckman Coulter; Brea, USA-CA). Dual indices and Illumina sequence adapters were attached by means of an Index PCR using the Nextera XT Index Kit (Illumina), and final PCR products were again purified using AMPure XP Beads. The library was validated using an Agilent 2100 Bioanalyzer Software and a DNA 1000 Chip (Agilent Technologies; Santa Clara, USA-CA) to verify the size of the resulting fragments. The final DNA libraries were equimolarly pooled and run in a MiSeq System (Illumina) after combining the denatured PhiX control library (15%) and the denatured amplicon library. Some 6.5 million 2 x 300 bp paired-end reads were produced and demultiplexed into seventeen samples from thirteen sites. Using Trimmomatic (v0.38), 3'-ends of the reads were trimmed based on read quality information. PEAR (v0.9.10) with default settings was used to merge the paired-end reads. Sequences, which could not be merged, were discarded. Primer-matching sequence segments were truncated from the amplicons by cutadapt (v1.9) and amplicons were only kept in the sequence pool, if both, the segment of the forward and of the reverse primer could be found. Remaining sequences were filtered for further quality features by vsearch (v2.3.0). Sequences were discarded, if they were outside a 50 bp radius above or below the median length of the primer-truncated amplicon (~387 bp), if they carry any ambiguity or if the expected number of miscalled bases of a sequence (sum of all base error probabilities of a sequence) was above 1. Chimera were predicted also by vsearch utilising the UCHIME algorithm with default settings in de-novo mode for each sample separately and removed from the sample files. About 4 million sequences passed all filtering steps and were used as input for the OTU-clustering, which was done by the tool Swarm (v2.1.8) with default settings. The most abundant amplicon of each OTU-cluster was used as an OTU representative. These sequences were annotated by the RDP classifier implemented in mothur (v1.38.1) using the Ref_NR99 version of release 128 of the SILVA SSU sequence set using a reference with a confidence cutoff of 90. The annotation of each representative sequence was used as annotation of the OTU cluster as well and added to the corresponding line of the OTU table.

Description: In the course of polyphasic taxonomic work in the dinophytes, we became aware of a fundamental misapplication of the name Glenodinium triquetrum (now represented conceptually by a species of Kryptoperidinium), when Stein assigned it to Heterocapsa. Possible solutions involve a conflict between retaining Ehrenberg’s epithet in its correct application in the interest of priority and preserving current usage of Heterocapsa. However, we do not achieve a consensus on how to disentangle this Gordian knot, underlining that this is not a regular case of taxonomic confusion. We intend to stimulate a more general discussion about best practices in such cases, balancing between the interest of nomenclatural practicability and the respectful acknowledgement of scientific work, even if it was conducted many years ago.

Description: 1. Reliable determination of organisms is a prerequisite to explore their spatial and temporal occurrence and to study their evolution, ecology, and dispersal. In Europe, Bavaria (Germany) provides an excellent study system for research on the origin and diversification of freshwater organisms including dinophytes, due to the presence of extensive lake districts and ice age river valleys. Bavarian freshwater environments are ecologically diverse and range from deep nutrient‐poor mountain lakes to shallow nutrient‐rich lakes and ponds. 2. We obtained amplicon sequence data (V4 region of small subunit‐rRNA, c. 410 bp long) from environmental samples collected at 11 sites in Upper Bavaria. We found 186 operational taxonomic units (OTUs) associated with Dinophyceae that were further classified by means of a phylogenetic placement approach. 3. The maximum likelihood tree inferred from a well‐curated reference alignment comprised a systematically representative set of 251 dinophytes, covering the currently known molecular diversity and OTUs linked to type material if possible. Environmental OTUs were scattered across the reference tree, but accumulated mostly in freshwater lineages, with 79% of OTUs placed in either Apocalathium, Ceratium, or Peridinium, the most frequently encountered taxa in Bavaria based on morphology. 4. Twenty‐one Bavarian OTUs showed identical sequences to already known and vouchered accessions, two of which are linked to type material, namely Palatinus apiculatus and Theleodinium calcisporum. Particularly within Peridiniaceae, delimitation of Peridinium species was based on the intraspecific sequence variation. 5. Our approach indicates that high‐throughput sequencing of environmental samples is effective for reliable determination of dinophyte species in Bavarian lakes. We further discuss the importance of well‐curated reference databases that remain to be developed in the future.