Metabolic profiles of microorganisms associated with the halophyte<i>Salicornia europaea</i>in soils with different levels of salinity
Bibliographic record
Abstract
Plants have evolved a wide range of adaptation mechanisms that enable them to grow and develop in environments of high soil salinity. We examine the plant—microbial interactions of Salicornia europaea (Herbaceae) as potential mechanisms responsible for the high tolerance of halophytes to saline conditions. We evaluated the impact of different NaCl concentrations on microorganisms associated with S. europaea growing at 2 saline sites in central Poland: a salty meadow in the vicinity of a soda factory (anthropogenic salinity) and an area affected by natural brine (landscape park). The community-level physiological profiles of microorganisms associated with the plant were determined for endophytes from the roots, rhizosphere, and salt-affected soil. The highest total microbial metabolic activity, irrespective of the test site, was always in the rhizosphere, while the activity of endophytic and soil populations depended on salinity. In general, a higher total metabolic activity was observed at the test site exhibiting higher salt concentration. We propose that increased metabolic activity of microbial populations under increased salt stress can significantly contribute to the site adaptation of halophytes to saline conditions.
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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 | 0.000 | 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 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".