Resilience and adjustments of surface sediment bacterial communities in an enclosed shallow coastal lagoon, Magdalen Islands, Gulf of St. Lawrence, Canada
Bibliographic record
Abstract
Bacteria regulate global biogeochemical cycles and much of this activity occurs in shallow coastal sediments; however, little is known of the seasonality or how changes in environmental conditions influence the active sediment bacterial communities. Havre-aux-Maisons (Magdalen Islands, Canada), a relatively pristine enclosed shallow coastal lagoon, is of particular biological interest since it has no inflowing rivers and provides an opportunity to investigate non-estuarine shallow marine sediments. Potentially active taxa in surface sediments were identified over a 15-month period using high-throughput rRNA amplicon sequencing. Sediment bacterial communities were diverse at the species level, with high Beta diversity. Throughout most of the sampling period, communities consisted of taxa that were closely related to each other, suggesting that specific environmental conditions at a given time point favored taxa with similar ecological traits. However, bacterial phyla and proteobacterial classes were remarkably similar over time with a predominantly sulfur cycling community composed of sulfur-oxidizing Gammaproteobacteria and sulfate-reducing Deltaproteobacteria persisting over much of the sampling period, despite the oxygenated water column. This community was disrupted after a storm and less common phyla became relatively more abundant. Following this disruption, a high proportion of benthic Cyanobacteria colonized the sediment before the reestablishment of the sulfur-cycle-dominated community.
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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 | 0.001 | 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) | 0.001 | 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".