Rhizosphere bacteria and fungi are differentially structured by host plants, soil mineralogy, and ectomycorrhizal communities in the Alaskan Tundra
Bibliographic record
Abstract
Abstract The rhizosphere contains a diverse group of bacteria and fungi living near plant roots whose composition and function are key drivers of ecosystem and biogeochemical processes. Despite rich literature on rhizosphere communities, surprisingly few studies have examined the drivers of rhizosphere community structures in natural settings. We collected 513 root samples from 141 individual plants representing six plant species and three mycorrhizal association types across four glacial drifts in the North Slope of Alaska. Glacial drifts ranged from 11,000 to 4.5 million years since deglaciation representing a gradient in glacial history and mineralogical weathering. We found that glacial history, a strong proxy for soil mineralogy, explained most of the captured variation in rhizosphere bacterial communities (13.3%) and ectomycorrhizal fungal communities (10.2%) while interactions between glacial history and host plants explained the most variation in fungal rhizosphere communities (11.6%). We analyzed ectomycorrhizal fungal communities from the shrub Betula nana across spatial scales and sites and found a large correlation between ectomycorrhizal and rhizosphere communities, and that ectomycorrhizal composition was most similar among root fragments belonging to the same plant, followed by plants at the same site, and were most dissimilar for plants at different sites.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".