Cold-temperate climate: a factor for selection of ammonia oxidizers in upland soil?
Bibliographic record
Abstract
Ammonia-oxidizing bacteria in various upland soils show a rather large diversity with respect to their amoA genes (coding for a subunit of the ammonium monooxygenase). It is known that the community structure of ammonia-oxidizing bacteria in upland soils is influenced by different selective factors, such as pH, gravimetric water content, fertilizer treatment, and temperature. The question, from an ecological point of view, is whether a particular ecophysiological factor, such as temperature, could select for a particular community structure of ammonia oxidizers in upland soils that would be represented by distinct clusters of the amoA gene (AmoA cluster). Studying the literature, including recent publications and our own unpublished results, we found that AmoA clusters 3a, 3b, and 9-12 apparently exhibited no preference for either subtropical/tropical soils (i.e., warm regions) or temperate cold soils. However, AmoA clusters 1 and 4 (and perhaps cluster 2) seem to occur predominantly in soils from cold-temperate regions. Here we review the evidence for a temperature effect on the global distribution of amoA genes in warm- and cold-temperate soils.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 teacher head, 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".