Characterization of culturable anaerobic bacteria from the forestomach of an eastern grey kangaroo, Macropus giganteus
Bibliographic record
Abstract
AIM: To determine the culturable biodiversity of anaerobic bacteria isolated from the forestomach contents of an eastern grey kangaroo, Macropus giganteus, using phenotypic characterization and 16S rDNA sequence analysis. METHODS AND RESULTS: Bacteria from forestomach contents of an eastern grey kangaroo were isolated using anaerobic media containing milled curly Mitchell grass (Astrebla lappacea). DNA was extracted and the 16S rDNA sequenced for phylogenetic analysis. Forty bacterial isolates were obtained and placed in 17 groups based on phenotypic characteristics and restriction enzyme digestion of 16S rDNA PCR products. DNA sequencing revealed that the 17 groups comprised five known species (Clostridium butyricum, Streptococcus bovis, Clostridium sporogenes, Clostridium paraputrificum and Enterococcus avium) and 12 groups apparently representing new species, all within the phylum Firmicutes. CONCLUSIONS: Foregut contents from Australian macropod marsupials contain a microbial ecosystem with a novel bacterial biodiversity comprising a high percentage of previously unrecognized species. SIGNIFICANCE AND IMPACT OF THE STUDY: This study adds to knowledge of Australia's unique biodiversity, which may provide a future bioresource of genetic information and bacterial species of benefit to agriculture.
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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".