Soil microbial communities of three major Chinese truffles in southwest China
Bibliographic record
Abstract
Tuber pseudoexcavatum, Tuber sinoaestivum, and Tuber indicum are the 3 most important truffles growing in southeast China; however, their cultivation is still inefficient owing to the lack of understanding regarding the composition and function of the bacterial and fungal communities from the soils around the fruit bodies and the ectomycorrhiza of these truffles. The aim of this study was to disclose the microbial communities in truffle-producing soils in Huidong County, Sichuan, China, by using barcoded pyrosequencing. Approximately 350 000 quality-controlled sequences were obtained and grouped into 14 025 bacterial operational taxonomic units (OTUs) and 4385 fungal OTUs, which included 29 bacterial and 7 fungal phyla, respectively. The bacterial genus Acidobacterium and fungal genera Modicella, Pseudogymnoascus, and Mortierella were significantly more abundant in the control soils than in the truffle-producing soils (P < 0.05), while the bacterial genus Sphingomonas (Alphaproteobacteria) and arbuscular mycorrhizal fungal genus Glomus were significantly enriched in truffle-producing soil than in the control (P < 0.05), indicating their different roles within truffle grounds. Notably, some nonfungal organisms detected by 18S rDNA pyrosequencing were of high abundance, among which Cercozoa and Ochrophyta were significantly (P < 0.05) more abundant in truffle soils than in control soils, indicating their interactions with truffles.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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".