Diversity of fungal assemblages in rhizosphere and endosphere of blueberry (<i>Vaccinium</i> spp.) under field conditions revealed by culturing and culture-independent molecular methods
Bibliographic record
Abstract
Mycorrhizae are important to plants in improving nutrient absorption and stress resistance. To study mycorrhizal fungal diversity in blueberry, we combined culture method and culture-independent molecular method to analyze the root endosphere and rhizosphere fungi in three different cultivars. We obtained 212 isolates with a culture method and classified them into 40 types according to their morphological characteristics. Then, we amplified the internal transcribed spacer sequence and found rich species diversity. With high-throughput sequencing, 561 operational taxonomic units (OTUs) were annotated based on a 97% similarity level cutoff. The alpha diversity index revealed that the fungal abundance and diversity in the rhizosphere were higher than those in the endosphere. The dominant phyla were Ascomycota and Basidiomycota and the dominant genus was Oidiodendron. We also constructed the plant–fungus symbiotic system by inoculating in vitro stock shoots, which lays a theoretical foundation for further research to develop and utilize the dominant mycorrhizal fungi of blueberry.
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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".