Molecular identification of ectomycorrhizas associated with ponderosa pine seedlings in Patagonian nurseries (Argentina)
Bibliographic record
Abstract
Ponderosa pine ( Pinus ponderosa Dougl. ex P. & C. Laws.), an ectomycorrhiza (EM) dependent species, has been widely introduced in Patagonia, Argentina. This study used morphotyping, restriction analysis, and sequencing of EM root tips from ponderosa pine seedlings in two nurseries to assess the complete EM fungus (EMF) richness, to confirm doubtful identities of commonly reported morphotypes, and to evaluate the efficiency of morphotyping compared with molecular analysis. This interdisciplinary approach together with the fact that is the first study in which Patagonian nurseries EMF are genetically evaluated contributes to the general knowledge of this important group of fungi. Sequencing revealed the presence of 11 taxa. Basidiomycetes included Thelephoraceae ( Tomentella sp.), Atheliaceae ( Amphinema byssoides (Pers.) J. Erikss.), Hydnangiaceae ( Laccaria sp.), Rhizopogonaceae ( Rhizopogon roseolus (Corda) Th. Fr.), and Cortinariaceae ( Hebeloma mesophaeum (Pers.) Quel.). Ascomycetes included Pezizaceae ( Wilcoxina mikolae (Chin S. Yang & H.E. Wilcox) Chin S. Yang & Korf and Wilcoxina sp.) and Tuberaceae ( Tuber sp.). Morphotyping proved to be useful for certain EMF species (R. roseolus, H. mesophaeum, A. byssoides, and to a lesser extent Tuber sp.) in which some morphological features are conspicuous and unique. Our detection of W. mikolae and Wilcoxina sp. are new records for ponderosa pine in Patagonia. All of the EM taxa identified are common to pine plantations and nurseries around the world, and no indigenous EM associated with native Nothofagus spp. were found.
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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 | 0.000 | 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 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".