Isolation and characterization of mimosine, 3, 4 DHP and 2, 3 DHP degrading bacteria from a commercial rumen inoculum
Bibliographic record
Abstract
The presence of the toxic amino acid mimosine in Leucaena leucocephala restricts its use as a protein source for ruminants. Rumen bacteria degrade mimosine to 3,4- and 2,3-dihydroxypyridine (DHP), which remain toxic. Synergistes jonesii is believed to be the main bacterium responsible for degradation of these toxic compounds but other bacteria may also be involved. In this study, a commercial inoculum provided by the Queensland's Department of Agriculture, Fisheries, and Forestry was screened for isolation and characterization of mimosine, 3,4- and 2,3-DHP degrading bacterial strains. A new medium for screening of 2,3-DHP degrading bacteria was developed. Molecular and biochemical approaches used in this study revealed four bacterial isolates - Streptococcus lutetiensis, Clostridium butyricum, Lactobacillus vitulinus, and Butyrivibrio fibrisolvens - to be able to completely degrade mimosine within 7 days of incubation. It was also observed that C. butyricum and L. vitulinus were able to partially degrade 2,3-DHP within 12 days of incubation, while S. lutetiensis, was able to fully degrade both 3,4 and 2,3 DHP. Collectively, we concluded that S. jonesii is not the sole bacterium responsible for detoxification of Leucaena. Comprehensive screening of rumen fluid of cattle grazing on Leucaena pastures is needed to identify additional mimosine-detoxifying bacteria and contribute to development of more effective inoculums to be used by farmers against Leucaena toxicity.
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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) | 0.001 | 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".