Diversity and distribution of the prokaryotic community in near-surface permafrost sediments in the Tianshan Mountains, China
Bibliographic record
Abstract
The community structures and diversity of bacteria and archaea were investigated at 4 depths (1.5, 2.0, 2.5, and 3.0 m) in permafrost sediments in the Tianshan Mountains, using denaturing gradient gel electrophoresis of 16S rRNA gene amplified by polymerase chain reaction. Phylogenetic analysis of the dominant bands sequenced revealed the presence of rich diversity of bacteria, which could be related to the Proteobacteria, Actinobacteria, Acidobacteria, Gemmatimonadetes, Bacteroidetes, Firmicutes, and Chloroflexi. The Proteobacteria, consisting of the alpha, beta, gamma and epsilon subdivisions, were clearly the dominant group at all depths studied. Archaeal diversity was relatively low and archaeal 16S rRNA gene sequences were grouped into 3 phylogenetic clusters within the 2 kingdoms Euryarchaeota and Crenarchaeota. Within the Euryarchaeota, methanogen-related group II was most abundant at shallow depth (1.5 m), whereas halobacterium-related group I dominated at greater depths. The low-temperature Crenarchaeota group was detected only at 2.5 and 3.0 m. Specific-depth distribution of methanogen-related Euryarchaeota group II and denitrifying bacteria of the genus Pseudomonas dominated at 1.5 m depth, accompanied by a distinct peak in the ratio of NH4-N to NO3/NO2-N, implying the potential capacity of these organisms in near-surface permafrost to release the greenhouse gases N2O and CH4.
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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 | 0.002 | 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) | 0.000 | 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".