Three helmet-orchid species share abundant fungi of Serendipitaceae regardless of altitude
Bibliographic record
Abstract
The tiny terrestrial orchids (plant height less than 8 cm) in the genus Corybas dependent on mycorrhizal fungal (OMF) partners for seed germination and seedling development. The OMF community of the Corybas remains poorly understood, although the relevant knowledge is very important for in situ and ex situ conservation of these orchids. In this study, we characterized OMF richness and compositions of three helmet-orchid species, i.e., Corybas geminigibbus, C. himalaicus, and C. shanlinshiensis, from their natural habitats by using Illumina sequencing of the internal transcribed spacer 2 region. We found that fungal colonization was restricted in the rhizomes of the helmet-orchids instead of their tuberoids, and serendipitoid fungi were predominant, while tulasnelloid were absent in the three investigated Corybas species regardless of their altitude. The three Corybas species shared 27 serendipitoid operational taxonomic units that are different to those of their related orchids, the genera of Cyrtostylis and Stigmatodactylus. Corybas shanlinshiensis alone had a range of ectomycorrhizal fungi (mainly russuloid and thelephoroid) broader than C. himalaicus and C. geminigibbus. Our study provides new information about terrestrial orchid–fungi associations and may further contribute to orchid conservation.
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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 | 0.001 | 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) | 0.001 | 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".