Contrasting seasonal niche separation between rare and abundant taxa conceals the extent of protist diversity.

With the advent of molecular methods, it became clear that microbial biodiversity had been vastly underestimated. Since then, species abundance patterns were determined for several environments, but temporal changes in species composition were not studied to the same level of resolution. Using massively parallel sequencing on the 454 GS FLX platform we identified a highly dynamic turnover of the seasonal abundance of protists in the Austrian lake Fuschlsee. We show that seasonal abundance patterns of protists closely match their biogeographic distribution. The stable predominance of few highly abundant taxa, which previously led to the suggestion of a low global protist species richness, is contrasted by a highly dynamic turnover of rare species. We suggest that differential seasonality of rare and abundant protist taxa explains the--so far--conflicting evidence in the 'everything is everywhere' dispute. Consequently temporal sampling is basic for adequate diversity and species richness estimates.

Diversity in a hidden world: potential and limitation of next-generation sequencing for surveys of molecular diversity of eukaryotic microorganisms.

With the delivery of millions of sequence reads in a single experiment, next-generation sequencing (NGS) is currently revolutionizing surveys of microorganism diversity. In particular, when applied to Eukaryotes, we are still lacking a rigorous comparison of morphological and NGS-based diversity estimates. In this report, we studied the diversity and the seasonal community turnover of alveolates (Ciliophora and Dinophyceae) in an oligotrophic freshwater lake by SSU amplicon sequencing with NGS as well as by classical morphological analysis. We complemented the morphological analysis by single-cell PCR followed by Sanger sequencing to provide an unambiguous link to the NGS data. We show that NGS and morphological analyses generally capture frequency shifts of abundant taxa over our seasonal samples. The observed incongruencies are probably largely due to rDNA copy number variation among taxa and heterogeneity in the efficiency of cell lysis. Overall, NGS-based amplicon sequencing was superior in detecting rare species. We propose that in the absence of other nuclear markers less susceptible to copy number variation, rDNA-based diversity studies need to be adjusted for confounding effects of copy number variation.

Protistan community analysis: key findings of a large-scale molecular sampling.

Protists are perhaps the most lineage-rich of microbial lifeforms, but remain largely unknown. High-throughput sequencing technologies provide opportunities to screen whole habitats in depth and enable detailed comparisons of different habitats to measure, compare and map protistan diversity. Such comparisons are often limited by low sample numbers within single studies and a lack of standardisation between studies. Here, we analysed 232 samples from 10 sampling campaigns using a standardised PCR protocol and bioinformatics pipeline. We show that protistan community patterns are highly consistent within habitat types and geographic regions, provided that sample processing is standardised. Community profiles are only weakly affected by fluctuations of the abundances of the most abundant taxa and, therefore, provide a sound basis for habitat comparison beyond random short-term fluctuations in the community composition. Further, we provide evidence that distribution patterns are not solely resulting from random processes. Distinct habitat types and distinct taxonomic groups are dominated by taxa with distinct distribution patterns that reflect their ecology with respect to dispersal and habitat colonisation. However, there is no systematic shift of the distribution pattern with taxon abundance.

AmpliconDuo: A Split-Sample Filtering Protocol for High-Throughput Amplicon Sequencing of Microbial Communities.

High throughput sequencing (HTSeq) of small ribosomal subunit amplicons has the potential for a comprehensive characterization of microbial community compositions, down to rare species. However, the error-prone nature of the multi-step experimental process requires that the resulting raw sequences are subjected to quality control procedures. These procedures often involve an abundance cutoff for rare sequences or clustering of sequences, both of which limit genetic resolution. Here we propose a simple experimental protocol that retains the high genetic resolution granted by HTSeq methods while effectively removing many low abundance sequences that are likely due to PCR and sequencing errors. According to this protocol, we split samples and submit both halves to independent PCR and sequencing runs. The resulting sequence data is graphically and quantitatively characterized by the discordance between the two experimental branches, allowing for a quick identification of problematic samples. Further, we discard sequences that are not found in both branches ("AmpliconDuo filter"). We show that the majority of sequences removed in this way, mostly low abundance but also some higher abundance sequences, show features expected from random modifications of true sequences as introduced by PCR and sequencing errors. On the other hand, the filter retains many low abundance sequences observed in both branches and thus provides a more reliable census of the rare biosphere. We find that the AmpliconDuo filter increases biological resolution as it increases apparent community similarity between biologically similar communities, while it does not affect apparent community similarities between biologically dissimilar communities. The filter does not distort overall apparent community compositions. Finally, we quantitatively explain the effect of the AmpliconDuo filter by a simple mathematical model.

Magnesiothermic conversion of the silica-mineralizing golden algae Mallomonas caudata and Synura petersenii to elemental silicon with high geometric precision.

Chrysophyceae, also known as golden algae, contain characteristic, three-dimensional biomineralized silica structures. Their chemical composition and microscopic structure was studied. By high-temperature conversion of the skeleton of Mallomonas caudata and Synura petersenii into elementary silicon by magnesium vapour, nanostructured defined replicates were produced which were clearly seen after removal of the formed magnesium oxide with acid.

Differential freshwater flagellate community response to bacterial food quality with a focus on Limnohabitans bacteria.

Different bacterial strains can have different value as food for heterotrophic nanoflagellates (HNF), thus modulating HNF growth and community composition. We examined the influence of prey food quality using four Limnohabitans strains, one Polynucleobacter strain and one freshwater actinobacterial strain on growth (growth rate, length of lag phase and growth efficiency) and community composition of a natural HNF community from a freshwater reservoir. Pyrosequencing of eukaryotic small subunit rRNA amplicons was used to assess time-course changes in HNF community composition. All four Limnohabitans strains and the Polynucleobacter strain yielded significant HNF community growth while the actinobacterial strain did not although it was detected in HNF food vacuoles. Notably, even within the Limnohabitans strains we found significant prey-related differences in HNF growth parameters, which could not be related only to size of the bacterial prey. Sequence data characterizing the HNF communities showed also that different bacterial prey items induced highly significant differences in community composition of flagellates. Generally, Stramenopiles dominated the communities and phylotypes closely related to Pedospumella (Chrysophyceae) were most abundant bacterivorous flagellates rapidly reacting to addition of the bacterial prey of high food quality.

Multigene phylogenies of clonal Spumella-like strains, a cryptic heterotrophic nanoflagellate, isolated from different geographical regions.

Many nanoflagellate morphospecies comprise an enormous variation of genotypes, probably indicating cryptic species. One of the best-investigated morphospecies with respect to molecular and ecophysiological variation are flagellates of the Spumella morphotype. Here, we have phylogenetically analysed three protein-coding genes (actin, alpha-tubulin, beta-tubulin), internal transcribed spacers (ITS1, ITS2) and the 5.8S rDNA of 17 Spumella-like strains isolated from soil, freshwater and marine samples in order to (i) test the validity of the current Spumella-like phylogenetic classification system based exclusively on small subunit (SSU) rDNA, (ii) elucidate the phylogenetic associations of SSU rDNA-unresolved strains and (iii) evaluate the validity of the assignment of ecophysiological adaptations to previously identified SSU rDNA sequence clades. All single-gene analyses show different patterns of support, are incongruent and identify a number of conflicting nodes. Likewise, a concatenation of all protein genes fails to recover specific SSU rDNA clades. However, a combined analysis of all genes confidently resolved the conflicts of the single genes and the protein-gene concatenations and resulted in a tree topology that is identical to the SSU rDNA analysis, but with enhanced phylogenetic resolution and decisively greater support. We conclude that, depending on the genes concatenated, a 'supergene' analysis minimizes artefactual effects of single genes and may be superior in its performance in phylogenetically analysing cryptic species. We confirm the validity of the SSU rDNA Spumella-like phyloclades and support the suggestion that these clades indeed seem to reflect certain ecophysiological adaptations.

Differential thermal adaptation of clonal strains of a protist morphospecies originating from different climatic zones.

Eco-physiological variation and local adaptation are key issues in microbial ecology. Here, we investigated the thermal adaptation of 19 strains of the same Spumella morphospecies (Chrysophyceae, Heterokonta). In order to test for local adaptation and the existence of specific ecotypes we analysed growth rates of these strains, which originated from different climate regions. We applied temperature-adaptation as an eco-physiological marker and analysed growth rates of the different Spumella strains at temperatures between 0 degrees C and 35 degrees C. The temperatures allowing for maximal growth of strains from temperate and warm climatic zones ranged between 19.9 degrees C and 33.4 degrees C. Phylogenetically, most of these 'warm'-adapted strains fall into two different previously defined 18S rDNA Spumella clusters, one of them consisting of mostly soil organisms and the other one being a freshwater cluster. As a rule, the 'warm'-adapted strains of the soil cluster grew slower than the 'warm'-adapted isolates within the freshwater cluster. This difference most probably reflect different strategies, i.e. the formation of cysts at the expense of lower growth rates in soil organisms. In contrast, as expected, all isolates from Antarctica were cold-adapted and grew already around melting point of freshwater. Surprisingly, optimum temperature for these strains was between 11.8 degrees C and 17.7 degrees C and maximum temperature tolerated was between 14.6 degrees C and 23.5 degrees C. Our data indicate that despite the relatively high optimal temperature of most Antarctic strains, they may have a relative advantage below 5-10 degrees C only. Based on the thermal adaptation of the flagellate strains the Antarctic strains were clearly separated from the other investigated strains. This may indicate a limited dispersal of flagellates to and from Antarctica. Even if the latter assumption needs support from more data, we argue that the high levels of eco-physiological and molecular microdiversity indicate that the current species concepts do not sufficiently reflect protist eco-physiological differentiation.

Three-coordinated aminotroponiminate and aminotroponate complexes of gold(I).

Potassium N-isopropyl-2-(isopropylamino)troponiminate, K{(iPr)2ATI}, and potassium N-cyclohexyl-2-(cyclohexylamino)troponiminate, K{(Cy)2ATI}, were synthesized by treatment of the neutral ligands with an excess of KH in THF. Reaction of the potassium reagents with [AuClPPh3] resulted in the gold complexes [Au{(iPr)2ATI}PPh3] and [Au{(Cy)2ATI}PPh3]. The solid-state structures of both compounds, in which the ligands are arranged in plane, show distorted trigonal planar coordinated gold atoms. Potassium 2-(isopropylamino)troponate (K(iPrAT)) and the cyclohexyl analogue (K(CyAT)) were obtained by deprotonation of corresponding aminotropones with KH. In an analogous fashion the gold complexes of composition [Au(iPrAT)PPh3] and [Au(CyAT)PPh3] were prepared by reaction of K(iPrAT) and K(CyAT) with [AuClPPh3], respectively.

7Li and 13C solid-state NMR spectra of lithium cuprates.

7Li and 13C solid-state MAS NMR spectra of three lithium cuprates with known X-ray structures--lithium([12]crown-4)2 dimethyl and diphenyl cuprate (1,2) and lithium(thf)4-[tris(trimethylsilyl) methyl]2 cuprate (3)--have been measured and analysed with respect to the quadrupolar coupling constants of lithium-7, chi(7Li), and the asymmetry parameters of the quadrupolar interactions, eta(7Li), as well as the 6, 7Li and 13C chemical shifts. The chi(7Li) values of 23, 30, and 18 kHz for 1, 2 and 3, respectively, are in line with the high symmetry around the lithium nucleus in the solvent-separated structures and may be used as reference data for this structural motif. Calculations based on charges derived from ab initio 6-31 G* HF computations using the point charge model (PCM) and the program GAMESS support the experimental findings.