Comparative Analysis of Protist Communities in Oilsands Tailings Using Amplicon Sequencing and Metagenomics
Bibliographic record
Abstract
The Canadian province of Alberta contains substantial oilsands reservoirs, consisting of bitumen, clay and sand. Extracting oil involves separating bitumen from inorganic particles using hot water and chemical diluents, resulting in liquid tailings waste with ecotoxicologically significant compounds. Ongoing efforts aim to reclaim tailings-affected areas, with protist colonisation serving as one assessment method of reclamation progress. Oilsands-associated protist communities have mainly been evaluated using amplicon sequencing of the 18S rRNA V4 region; however, this barcode may overlook important protist groups. This study examined how community assessment methods between the V4 and V9 regions differ in representing protist diversity across four oilsands-associated environments. The V9 barcode identified more operational taxonomical units (OTUs) for Discoba, Metamonada and Amoebozoa compared with the V4. A comparative shotgun metagenomics approach revealed few eukaryotic contigs but did recover a complete Paramicrosporidia mitochondrial genome, only the second publicly available from microsporidians. Both V4 and V9 markers were informative for assessing community diversity in oilsands-associated environments and are most effective when combined for a comprehensive taxonomic estimate, particularly in anoxic environments.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".