Biodiversity of Trichoderma spp. in TUB culture collection
Bibliographic record
Abstract
Culture collection of the Technical University of Budapest (TUB) comprises approx. 2800 microorganisms with special emphasis on lignocellulose degrading fungi and actinomycetes. For isolation and screening programs, 460 soils are stored at+5 ℃.They were collected in 58 countries, including extreme environments.There are 860 Trichoderma strains in TUB collection, representing 45 countries and 173 soils and/or tree barks as isolation sources. Trichoderma spp. selected from soils in the tundra region (Rocky Mountains, Colorado) grow at low temperatures such as 5-10 ℃. These strains practically do not grow at 30 ℃. On the contrary, many Trichoderma strains were isolated from tropical or subtropical soils and decaying plant materials at 35-40 ℃ in Brazil, Peru, Costa Rica, Guatemala, Hawaii, Tanzania, Thailand and Indonesia. Trichoderma strains tolerating limited oxygen supply were selected from river muds and sediments. Trichoderma spp. tolerating or partially degrading 2,4-dichlorophenol and 2,4, 6-trichlorophenol in 20 mg/kg concentration were selected from polluted soils.As a part of an attempt to assess the global biodiversity of Trichoderma, researchers of Technical University of Vienna and Agriculture Canada, in collaboration with TUB collection, identified and characterized seven new assumed taxa of Trichoderma from Eurasia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".