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Pyrosequencing for assessing diversity of eukaryotic microbes: analysis of data on marine planktonic ciliates and comparison with traditional methods.
The findings confirm the potential of pyrosequencing for quantifying microbial diversity, but also highlight the importance of careful evaluation of py rosequencing processing for using this method to address ecological questions.
Phylogeny of the Order Tintinnida (Ciliophora, Spirotrichea) Inferred from Small‐ and Large‐Subunit rRNA Genes
This study contributes to tintinnid phylogenetic reconstruction by increasing both the number of species and the range of genetic markers analyzed.
Unexpected biodiversity of ciliates in marine samples from below the photic zone
High‐throughput sequencing is used to analyse the spatial distribution of planktonic ciliate diversity from shallow waters to beyond the continental shelf along a 163 km transect off the coast of New England, USA, and it is observed that the ciliate communities assessed by HTS cluster by depth layer and degree of water column stratification, suggesting that community assembly is driven by environmental factors.
EukRef‐Ciliophora: a manually curated, phylogeny‐based database of small subunit rRNA gene sequences of ciliates
The approach included the inference of phylogenetic trees for every ciliate lineage and produced the largest SSU rRNA tree of the phylum Ciliophora to date, which is superior to the current SILVA database in classifying HTS reads from a global marine survey.
Updating Biodiversity Studies in Loricate Protists: The Case of the Tintinnids (Alveolata, Ciliophora, Spirotrichea)
This work suggests updated procedures for identification and, depending on the aim of the study, further steps to obtain morphological, molecular, and ecological data that is essential for generating a natural tintinnid classification and a reliable reference for environmental surveys.
Perspectives from Ten Years of Protist Studies by High‐Throughput Metabarcoding
This article summarizes key scientific and technical findings, and identifies current and future directions in protist research that uses metabarcoding.