Aerobic anoxygenic phototrophs in gold mine tailings in Nopiming Provincial Park, Manitoba, Canada
Bibliographic record
Abstract
A sampling trip to Central Gold Mine, Nopiming Provincial Park, Canada, was taken in September 2011. Abundance, distribution, and physiology of aerobic anoxygenic phototrophs (AAP) from 4 locations were studied. Enumeration revealed 14.6% of culturable microbes were AAP. Five strains (NM4.16, NM4.18, C4, C9, C11) were chosen for analysis. All grow best on complex media without vitamin requirements and with an optimal pH 7.0-8.0, with strain C4 preferring pH 6.0. Strain NM4.18 tolerates the highest pH 11.0. Optimal temperature for all is 28 °C (range of 2-37 °C except NM4.16, which survives 45 °C). Strains C9, C11, and NM4.18 grew in 1.0%, 2.0%, and 5.0% NaCl, respectively, while NM4.16 and C4 grew only without NaCl. Isolates were all highly resistant to toxic metal(oid) oxides: tellurite (1500 μg/mL, all), tellurate (1500 μg/mL, C11), selenite (5000 μg/mL, C9, C11, and NM4.18), selenate (1000 μg/mL, C9 and C11), and orthometavanadate and metavanadate (5000 μg/mL, C11 and NM4.18). They could reduce tellurite to the less toxic elemental tellurium. Full 16S rRNA gene sequencing revealed all strains are Alphaproteobacteria, with C4 and NM4.16 closely related to Porphyrobacter colymbi (99.4% and 99.7% sequence similarity, respectively), C9 to Brevundimonas variabilis (99.1%), C11 to Brevundimonas bacteroides (98.6%), and NM4.18 to Erythromonas ursincola (98.5%).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.001 | 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 teacher head, 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".