Isolation of novel bacteria, including a candidate division, from geothermal soils in New Zealand
Bibliographic record
Abstract
We examined bacterial diversity of three geothermal soils in the Taupo Volcanic Zone of New Zealand. Phylogenetic analysis of 16S rRNA genes recovered directly from soils indicated that the bacterial communities differed in composition and richness, and were dominated by previously uncultured species of the phyla Actinobacteria, Acidobacteria, Chloroflexi, Proteobacteria and candidate division OP10. Aerobic, thermophilic, organotrophic bacteria were isolated using cultivation protocols that involved extended incubation times, low-pH media and gellan as a replacement gelling agent to agar. Isolates represented previously uncultured species, genera, classes, and even a new phylum of bacteria. They included members of the commonly cultivated phyla Proteobacteria, Firmicutes, Thermus/Deinococcus, Actinobacteria and Bacteroidetes, as well as more-difficult-to-cultivate groups. Isolates possessing < 85% 16S rRNA gene sequence identity to any cultivated species were obtained from the phyla Acidobacteria, Chloroflexi and the previously uncultured candidate division OP10. Several isolates were prevalent in 16S rRNA gene clone libraries constructed directly from the soils. A key factor facilitating isolation was the use of gellan-solidified plates, where the gellan itself served as an energy source for certain bacteria. The results indicate that geothermal soils are a rich potential source of novel bacteria, and that relatively simple cultivation techniques are practical for isolating bacteria from these habitats.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".