Composition of aquatic microbial communities and their relation to water-column methane cycling among Mackenzie Delta lakes, western Canadian Arctic
Bibliographic record
Abstract
Seasonal dynamics of water-column microbial communities and methanotrophs were monitored in six lakes of the Mackenzie River Delta using gene sequencing of 16S rRNA gene and qPCR of the 16S rRNA and methane monooxygenase (pmoA) genes.Selected lakes varied in biogeochemistry based on annual river-to-lake connection times, which we hypothesized would impact bacterial community composition and methanotroph relative abundance.River-to-lake and seasonal influences on carbon bioavailability and quantity, nutrients, temperature and flooding correlated with seasonal changes in microbial composition.Methanotroph groups including Methylobacter and methylotrophs Candidatus methylopumilus and Candidatus methylophilaceae were detected in all lakes but at higher relative abundance in the winter and spring when lakewater methane concentrations were highest.Open-water methanotroph abundance was highest in spring.In experimental enclosures, methanogenesis was detected in oxygenated lake-water and rates varied by lake type.Nutrient enhancements altered microbial composition and increased rates of methane oxidation with increasing lake isolation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 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 source (direct Gemma or distilled Codex), 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".