Biodegradation and biodetoxification of Fusarium mycotoxins by Sphaerodes mycoparasitica
Bibliographic record
Abstract
A fungus Sphaerodes mycoparasitica SMCD 2220-01 is a host specific mycoparasite against plant pathogenic Fusarium species. Fusarium spp. are producing a plethora of mycotoxins including zearalenone (ZEN), deoxynivalenol (DON) and its acetylated derivatives, 3-acetyl-deoxynivalenol (3-ADON) and 15-acetyl-deoxynivalenol (15-ADON). The SMCD 2220-01 strain substantially reduced DON, 3-ADON, 15-ADON, and ZEN production capacity in co-culture system. Degradation and detoxification of the pure mycotoxins were also achieved when exposed to SMCD 2220-01 in shake flasks. The thin layer chromatography (TLC) combined with high performance liquid chromatography–electrospray ionization-high resolution mass spectrometry (HPLC–ESI–HRMS) revealed that the amount of mycotoxins exposed to SMCD 2220-01 was considerably reduced compared to control. ZEN level was decreased by 97%, while zearalenone sulfate ([M−H+SO 3 ] − at m/z 397.1052 C 18 H 21 O 8 S 1 ) was detected as a metabolite of ZEN converted to less toxic molecule by the mycoparasite. Further, the mycoparasite appeared to degrade DON, 3-ADON, and 15-ADON by 89, 58, and 72%, respectively. The deoxynivalenol sulfate ([M−COCH 3 +SO 3 −CH 2 O] − at m/z 345.2300 C 14 H 17 O 8 S 1 ) was detected as a less toxic metabolic product of DON and 3-ADON. These findings report the SMCD 2220-01 effectiveness to lower mycotoxins-producing capacities of Fusarium , degrade pure mycotoxins and transform them to less toxic metabolites, opening new opportunities for research and innovation for detoxification of mycotoxins.
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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 | 0.000 | 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".