Arbuscular mycorrhizal fungal succession in a long-lived perennial
Bibliographic record
Abstract
It is difficult to understand why arbuscular mycorrhizal (AM) fungal communities change over time. The role of host identity confounds our understanding of successional changes in AM fungal communities because hosts exert strong selective pressure on their root-associated microbes. In this study we looked at the AM fungi associated with a long-lived perennial breadfruit (Artocarpus altilis (Parkinson) Fosberg) to see how AM communities change over the life span of a single, long-lived host. Using 454 high-throughput sequencing, we found evidence that older trees had more AM fungal taxa than younger trees and were associated with different AM fungal communities, but these differences were not apparent early in the life cycle. Older trees were dominated by species of Rhizophagus, whereas younger trees and genets were dominated by species of Glomus. Some taxa were only detected in older trees (e.g., Funneliformis) or genets (e.g., Racocetra and Scutellospora), indicating that certain AM fungal taxa may serve as “indicators” of the successional age of the fungal community. These results provide important information about a poorly studied system and give insight into how AM communities change over longer time scales.
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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 | 0.000 |
| 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".