Application of a<i>nifH</i>microarray to assess the impact of environmental factors on free-living diazotrophs in a glacier forefield
Bibliographic record
Abstract
Glacier forefield environments are exposed to extreme and fluctuating climatic and nutritional conditions. The high diversity of free-living diazotrophic communities found in these environments indicates that nitrogen fixers are able to efficiently cope with such conditions. In this study, a nifH microarray was used to monitor changes in diazotrophic populations in the field over a season, in the presence or absence of plants and in 2 glacier forefields characterized by a different bedrock type (siliceous or calcareous), as well as at different temperatures (10 °C, 15 °C) and under different nitrogen fertilization regimes (0, 10, 40 kg N·ha(-1)·year(-1)) in laboratory systems. Population structures responded highly dynamically to environmental changes. Plant presence had the strongest impact, which decreased toward the end of the season and with high amounts of nitrogen fertilization. Temperature and nitrogen fertilization increases indirectly affected diazotrophic communities through their positive impact on plant growth. These results indicate strong carbon limitation in young glacier forefield soils. Phylotypes related to the genus Methylocystis strongly responded to environmental variations. These methanotrophic microorganisms, which are able to retrieve nitrogen and carbon from the atmospheric pool, are particularly adapted to the extreme nutritional conditions found in glacier forefields.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".