Genomic and physiological characterization of 'Candidatus Methylocystis sumavensis', a novel acid-tolerant methanotroph from peatland
Bibliographic record
Abstract
Methanotrophic bacteria in peatlands mitigate emissions of methane (CH 4 ), a potent greenhouse gas. Yet, the identity, physiology, and adaptive traits of methanotrophs inhabiting acidic peatlands are still not fully characterised. Using classical enrichment methods and single-cell sorting, we isolated a novel bacterial methanotroph species from Czech peatland soil: ' Candidatus Methylocystis sumavensis'. ' Ca . M. sumavensis' is moderately acidotolerant, growing optimally at pH 6.8 and 24 – 37°C, with a CH 4 oxidation rate of 14.2 ± 0.51 nmol CH 4 µg protein -1 · hr -1 . The complete genome encodes two isozymes of particulate methane monooxygenase and genes providing the capacity for nitrous oxide reduction to di-nitrogen (N 2 O). This suggests a potential role as a N 2 O sink, possibly enabling the new species to oxidise CH 4 under low-oxygen or anoxic conditions. The presence of four terminal oxidases, two of which are of a high-affinity type, and two different [NiFe]-hydrogenases (3b and a putative 4f group) suggests a capacity for diverse respiratory processes, likely including anaerobic metabolism. Several acid stress response systems, most strikingly a H + /Na + -translocating F-type ATP synthase in addition to a classical H + -translocating F-type ATP synthase, likely support survival in the isolates’ oligotrophic, acidic habitat. Our results reveal that the new methanotroph species combines unique metabolic traits, reflecting its adaptation to peat ecosystems and indicating a possible broader ecological role for peat-inhabiting methanotrophs beyond aerobic CH 4 oxidation.
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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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 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 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".