Temperature affects substrate-associated bacterial composition during <i>Ganoderma lucidum</i> hyphal growth
Bibliographic record
Abstract
The growth of the well-known fungus Ganoderma lucidum is influenced by temperature, which has an impact on the associated microbial structure in the substrate. In this study, we analyzed the bacterial diversity of the substrate at different temperatures using next-generation sequencing technology. A total of 513 733 sequences from 15 samples were assigned to 19 bacterial phyla. The samples were dominated by Proteobacteria, followed by Firmicutes; the 2 phyla exhibited opposite changes with elevated temperature. Bacterial genera showed different abundances at different temperatures, in which Sediminibacterium maintained a stable abundance below 40 °C, while Ochrobactrum and Rhodococcus were enriched with elevated temperature and both showed their highest abundances at 40 °C. Functional prediction uncovered 39 identified KEGG pathways, and bacterial genes involved in the membrane transport pathway exhibited the highest abundance subject to heat (40 °C) during the growth of G. lucidum. In general, our findings illustrated the influence of temperatures on G. lucidum mycelial morphology and the bacterial community in the substrate, and the results will facilitate cultivation of this fungus.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 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".