Black spruce (<i>Picea mariana</i>) foliage hosts numerous and potentially endemic fungal endophytes
Bibliographic record
Abstract
Fungal foliar endophytes (hereinafter endophytes) were isolated on malt agar from black spruce ( Picea mariana (Mill.) BSP) needles from the Quebec boreal forest during 2 successive years to study their distribution along a latitudinal transect. Twenty sites were sampled in 2002, 8 of which were sampled again in 2003, in an area located between 47°N and 54°N in the province of Quebec. The endophytes were named whenever possible, using homologies of ITS rDNA sequences from GenBank. In 2002, 232 morphotypes were classified in 40 operational taxonomic units (OTUs), and in 2003, 93 morphotypes were classified in 16 OTUs, for a total of 44 OTUs. Isolation frequencies of the most common endophyte species were 28% for Lophodermium piceae (Fuchel) Höhn., 17% for Darkera parca Whitney, Reid & Piroz, and 9% for Dwayaangam colodena Sokolski & Bérubé. Of the 44 OTUs identified, 18 were unique to P. mariana and found on one site only, possibly constituting rare endemic species. There was some evidence that needles colonized with rare endophyte species were more abundant in the western and southern regions than in the northern region. This supports our hypothesis that as the diversity of tree species surrounding the P. mariana decrease from the southern region to the northern region, the diversity of endophytes also decreases.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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".