Variations in the 16S–23S rRNA internal transcribed spacer of fibrolytic <i>Butyrivibrio</i> isolates from the reindeer rumen
Bibliographic record
Abstract
Strains of Butyrivibrio are principal cellulytic bacteria in the rumen of the High Arctic Svalbard reindeer ( Rangifer tarandus platyrhynchus ). According to phylogenetic analysis based on 16S rRNA gene sequencing, Butyrivibrio can be divided into three subgroups within the Clostridia class of the phylum Firmicutes, but the current phenotypic and genotypic differentiation within the family Lachnospiraceae is insufficient. This current study describes the sequence diversity of the 16S-23S rRNA intergenic transcribed spacer (ITS) region of Butyrivibrio isolates from reindeer. A total of 17 different ITS sequences with sizes between 449 and 784 nt were obtained. Genes encoding tRNA(Ile) and tRNA(Ala) were identified in four of the sequences. Phylogenetic neighbor-joining trees were constructed based on the ITS sequence and compared with a phylogenetic neighbor-joining tree based on 16S rRNA gene sequences previously obtained for the same isolates. These comparisons indicated a better differentiation between strains in the ITS sequence than the 16S rRNA gene based tree. Through this study, a better means for identifying and tracking fibrolytic and potentially probiotic Butyrivibrio strains in reindeer and other ruminants has been provided.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".