The potential biofertilization effect of H <sub>2</sub> is accompanied by a modest impact on the composition of microbial communities in the rhizosphere of common vetch
Bibliographic record
Abstract
Abstract N 2 -fixing nodules releases molecular hydrogen (H 2 ) in the rhizosphere of legumes. The process activates H 2 -oxidizing bacteria (HOB) in soil, leading to multiple effects on biogeochemical processes and a potential biofertilization effect. The legacy effect of the energy potential of H 2 on soil microbial community structure and the population density of HOB has received little attention. The aim of this study is to evaluate how the legacy effect of HOB, previously activated in soil microcosms exposed to elevated H 2 concentration (eH 2 ), affects biomass production yield of common vetch ( Vicia sativa ) and the abundance of HOB and the composition of microbiome in the rhizosphere. Contrasting soil displaying more than 60% difference in H 2 oxidation activity were used as growth substrate for vetch. The abundance of HOB was indistinguishable between the treatments and two phylotypes, namely Aeromicrobium spp. and Ramlibacter spp., were favored by eH 2 exposure at the activation stage. Their response was transient as no legacy effect was noticed after vetch growth. The root biomass and the root/shoot ratio were reduced in soil conditioned with eH 2 . These results provide new experimental evidence suggesting the biofertilization effect of H 2 is not universal and requires specific conditions that remain yet to be identified.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".