Sediment eDNA metabarcoding reveals the endemism in benthic foraminifera from Arctic methane cold seepages
Bibliographic record
Abstract
Benthic foraminifera are one of the major groups of eukaryotes living at cold seeps on the Arctic seafloor. However, their distribution and endemicity in these habitats have been largely debated. It is still unclear whether foraminiferal species commonly found in cold seeps differ genetically from those in deep-sea environments, and to what extent the seep community is distinct. To address these questions, we analyzed sediment DNA metabarcoding data specifically targeting foraminifera in different deep-water cold seep microhabitats (microbial mats, siboglinid tubeworms field) and reference sites within and outside the seep. Our results revealed microhabitat specificity among benthic foraminifera species. Microbial mats were dominated by a unique type of rDNA sequences assigned to a new lineage of monothalamid (single-chambered) foraminifera not previously reported from any other Arctic location. Other foraminiferal species were found across both seeps and reference stations. This study shows the presence of an endemic benthic foraminiferal species at cold seeps and confirms the existence of many common opportunistic species.
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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 | 0.000 | 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) | 0.001 | 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".