ArticleApplied and environmental microbiology2009
Defining DNA-based operational taxonomic units for microbial-eukaryote ecology.
Article in Applied and environmental microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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Who cites it
55 citing papers in PubMed.
- Article
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- Long-Read Sequencing Analysis Revealed the Impact of Forest Conversion on Soil Fungal Diversity in Limu Mountain, Hainan.Microbial ecology · 2023Article
- Ostreopsis Schmidt and Coolia Meunier (Dinophyceae, Gonyaulacales) from Cook Islands and Niue (South Pacific Ocean), including description of Ostreopsis tairoto sp. nov.Scientific reports · 2023Article
- Evaluation of theFrontiers in microbiology · 2023Article
- Exploring the taxonomic and functional diversity of marineSaudi journal of biological sciences · 2022Article
- Emergent "core communities" of microbes, meiofauna and macrofauna at hydrothermal vents.ISME communications · 2021Article
- Overview of the Diversity, Phylogeny and Biogeography of Strombidiid Oligotrich Ciliates (Protista, Ciliophora), With a Brief Revision and a Key to the Known Genera.Frontiers in microbiology · 2021Article
- Microbial Eukaryotes Associated With Sediments in Deep-Sea Cold Seeps.Frontiers in microbiology · 2021Article
- Microbiota - The Unseen Players in Adult Asthmatic Airways.Turkish thoracic journal · 2021Review
- Comparative Studies on the Polymorphism and Copy Number Variation of mtSSU rDNA in Ciliates (Protista, Ciliophora): Implications for Phylogenetic, Environmental, and Ecological Research.Microorganisms · 2020Article
- Combining morphology, behaviour and genomics to understand the evolution and ecology of microbial eukaryotes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
- Bark coverage shifts assembly processes of microbial decomposer communities in dead wood.Proceedings. Biological sciences · 2019Article
- Protist Diversity and Seasonal Dynamics in Skagerrak Plankton Communities as Revealed by Metabarcoding and Microscopy.The Journal of eukaryotic microbiology · 2019Article
- Metabarcoding Insights Into the Trophic Behavior and Identity of Intertidal Benthic Foraminifera.Frontiers in microbiology · 2019Article
- Molecular characterization of eukaryotic algal communities in the tropical phyllosphere based on real-time sequencing of the 18S rDNA gene.BMC plant biology · 2018Article
- Molecular Detection of Eukaryotic Diets and Gut Mycobiomes in Two Marine Sediment-Dwelling Worms, Sipunculus nudus and Urechis unicinctus.Microbes and environments · 2018Article
- Temporal dynamics of eukaryotic microbial diversity at a coastal Pacific site.The ISME journal · 2018Article
- Heterogeneity of interactions of microbial communities in regions of Taihu Lake with different nutrient loadings: A network analysis.Scientific reports · 2018Article
- Article
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Authors and funding
9 authors.
Funding
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Abstract
DNA sequence information has increasingly been used in ecological research on microbial eukaryotes. Sequence-based approaches have included studies of the total diversity of selected ecosystems, studies of the autecology of ecologically relevant species, and identification and enumeration of species of interest for human health. It is still uncommon, however, to delineate protistan species based on their genetic signatures. The reluctance to assign species-level designations based on DNA sequences is in part a consequence of the limited amount of sequence information presently available for many free-living microbial eukaryotes and in part a consequence of the problematic nature of and debate surrounding the microbial species concept. Despite the difficulties inherent in assigning species names to DNA sequences, there is a growing need to attach meaning to the burgeoning amount of sequence information entering the literature, and there is a growing desire to apply this information in ecological studies. We describe a computer-based tool that assigns DNA sequences from environmental databases to operational taxonomic units at approximately species-level distinctions. This approach provides a practical method for ecological studies of microbial eukaryotes (primarily protists) by enabling semiautomated analysis of large numbers of samples spanning great taxonomic breadth. Derivation of the algorithm was based on an analysis of complete small-subunit (18S) rRNA gene sequences and partial gene sequences obtained from the GenBank database for morphologically described protistan species. The program was tested using environmental 18S rRNA data sets for two oceanic ecosystems. A total of 388 operational taxonomic units were observed for 2,207 sequences obtained from samples collected in the western North Atlantic and eastern North Pacific oceans.
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