High‐throughput environmental sequencing reveals high diversity of litter and moss associated protist communities along a gradient of drainage and tree productivity
Bibliographic record
Abstract
Although previous studies, mostly based on microscopy analyses of a few groups of protists, have suggested that protists are abundant and diverse in litter and moss habitats, the overall diversity of moss and litter associated protists remains elusive. Here, high-throughput environmental sequencing was used to characterize the diversity and community structure of litter- and moss-associated protists along a gradient of soil drainage and forest primary productivity in a temperate rainforest in British Columbia. We identified 3262 distinct protist OTUs from 36 sites. Protists were strongly structured along the landscape gradient, with a significant increase in alpha diversity from the blanket bog ecosystem to the zonal forest ecosystem. Among all investigated environmental variables, calcium content was the most strongly associated with the community composition of protists, but substrate composition, plant cover and other edaphic factors were also significantly correlated with these communities. Furthermore, a detailed phylogenetic analysis of unicellular opisthokonts identified OTUs covering most lineages, including novel OTUs branching with Discicristoidea, the sister group of Fungi, and with Filasterea, one of the closest unicellular relatives to animals. Altogether, this study provides unprecedented insight into the community composition of moss- and litter-associated protists.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".