Spatial variability of bacterial community compositions in the Mariana Trench
Bibliographic record
Abstract
Hadal microorganisms play an important role in the biogeochemical processes in marine ecosystems and act as a valuable resource for industrial applications. This paper presents the bacterial community analysis of samples taken from the Challenger Deep within the Mariana Trench, which is the deepest site in the ocean. High-throughput 16S rRNA gene amplicon sequencing was used to reveal that the vertically sampled bacterial populations at eight stations varied at the surface to 10 km depth. The surface water samples harbored a distinct bacterial assemblage, while the mesopelagic and bathyal samples manifested different bacterial community composition, which was not consistent with previous studies. Gammaproteobacteria was the most abundant bacteria in the bathyal and hadal waters. The hadal bacterial community consisted mostly of Alteromonadales and Oceanospirillales. The former was widely spread in the water column, which might suggest habitat partitioning at the genus and operational taxonomic unit levels, while the latter might represent hadal-enriched hydrocarbon degraders. The present work complements the current knowledge and understanding of the bathyal and hadal bacterial communities of the Mariana Trench.
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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 | 0.001 |
| 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 | 0.000 |
| 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".