Fungal symbionts of endangered <i>Crocanthemum canadense</i> (Cistaceae) in Nova Scotia
Bibliographic record
Abstract
Crocanthemum canadense (L.) Britton (Cistaceae) is critically imperiled in Nova Scotia. The decline of Nova Scotian Crocanthemum canadense is largely due to the loss of the Annapolis Valley sand barrens habitat. Fungal symbionts may aid in nutrient and water acquisition as well as plant defenses. The role of fungal associations with Crocanthemum canadense is unknown; our goal was to identify fungal symbionts to inform ongoing conservation research. We isolated fungi from eighteen Crocanthemum canadense plants collected from Greenwood, Nova Scotia. Using internal transcribed spacer (ITS) rDNA barcoding of fungal cultures, we identified 58 fungal taxa. ITS2 meta-amplicon barcoding of roots and rhizosphere soil revealed 241 fungi with basidiomycetes accounting for 53.8% of reads. Chaetothyriales sp., Mycetinis scorodonius, Acidomelania panicicola, and Scleroderma citrinum were the most abundant root associates based on meta-amplicon data. We quantified percent root colonization of arbuscular mycorrhizal fungi (AMF) using root staining and microscopy. The average AMF colonization rate of the roots was 29.6% (n = 18). Our research provides a foundation for understanding the fungal community in this declining habitat and the first account of fungal symbionts in the above- and below-ground tissues and rhizosphere of Crocanthemum canadense. Identifying fungi influencing endangered Nova Scotian Crocanthemum canadense is valuable for developing conservation strategies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".