Plant compartments and regional variations shape the community structures and functional composition of endophytic fungi of Citrus aurantium
Bibliographic record
Abstract
Although Citrus aurantium has enormous medicinal and ecological value in southern China, little research has been conducted into the composition and functions of endophytic fungi in it. To better explore the characteristics of the endophytic fungal community in C. aurantium, ITS rRNA gene analyses were used to characterise the endophytic fungal microbiome across 3 plant compartments and 3 regions. The results shown that a total of 12109 OTUs were obtained and further divided into 15 phyla and 768 genera. Ascomycota was the dominant phylum. Fusarium, Alternaria, Mortierella, Plectosphaerella, Cladosporium, Colletotrichum, Trichomerium, Botryotrichum, and Aspergillus were the dominant genera. The endemic and dominant genera of endophytic fungi in C. aurantium exhibited plant compartment specificity. The assembly of endophytic fungal communities was dominated by homogeneous selection of deterministic processes. The endophytic fungal genera of C. aurantium predominantly exhibited positive interactions (with a proportion > 99%). The dominant functions of endophytic fungi in C. aurantium were pathotroph and saprotroph. The composition (niche: R2=0.09, P=0.001; site: R2=0.06, P=0.021) and functional components (niche: R2=0.117, P=0.002; site: R2=0.122, P=0.006) exhibited significant plant compartment and region specificity. The results of this study reveal the characteristics of the endophytic fungal community of C. aurantium, and provide a theoretical reference for the further development and utilization of endophytic fungal resources.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".