Wood-loving magic mushrooms from Australia are saprotrophic invaders in the northern hemisphere
Bibliographic record
Abstract
Magic mushrooms are fungi that produce psilocybin, a compound with breakthrough status for treatment of mental health disorders. Wood-degrading species of Psilocybe , such as P . subaeruginosa and relatives, have high concentrations of psilocybin but are discouraged for clinical production due to a temporary paralytic side effect known as Wood Lover’s Paralysis, the cause of which is unknown. We studied P. subaeruginosa over its partial distribution in Australia based on genomic analyses of 89 isolates to investigate population structure and species boundaries, examine allelic diversity at psilocybin loci, and test its centre of origin. Psilocybe subaeruginosa is structured by geography in Australia, but geographically separated populations are fully sexually compatible. Allelic diversity among populations, such as at mating compatibility loci, is likely a result of genetic drift and minimal gene flow since differentiation from a shared ancestor. Movement of woodchips, mulch, or plants has most likely spread genotypes of P. subaeruginosa locally within Australia and to the northern hemisphere. Species from the northern hemisphere, namely P. azurescens and P. cyanescens , clustered among Australian populations, indicating shared ancestry and supporting a hypothesis these taxa are conspecific with P. subaeruginosa . We identified high allelic diversity in genes of the psilocybin metabolic pathway and haplotypes of P. subaeruginosa with either one or two putatively functional paralogs of psiH , however the functionality of this gene duplication is yet to be determined. Our study provides insights into the evolutionary history and species boundaries of P. subaeruginosa , which has a centre of origin in Australasia.
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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 | 0.001 |
| 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".