Identification of active methylotrophic bacteria inhabiting surface sediment of a marine estuary
Bibliographic record
Abstract
Methylotrophs play an essential role in the global carbon cycle due to their participation in methane oxidation and C1 metabolism. Despite this important biogeochemical role, marine and estuarine microorganisms that consume C1 compounds are poorly characterized. In this study, we investigated the diversity of active methylotrophs and methanotrophs in sediment from the Colne Estuary (Brightlingsea, UK). Aerobic surface sediment samples were examined for the presence of C1 -utilizing communities using DNA stable-isotope probing (DNA-SIP) with (13) C-labelled methane, methanol and monomethylamine. Active methylotrophic bacteria were confirmed after DNA-SIP and denaturing gradient gel electrophoresis analyses. Clone libraries of 16S rRNA gene amplicons revealed the presence of methylotrophic bacteria affiliated with Methylophaga spp. in methanol and monomethylamine incubations. The addition of marine ammonium mineral salts medium to the microcosms increased the rate of substrate metabolism in DNA-SIP incubations, although nutrient addition did not affect the active populations contributing (13) C-labelled DNA. The (13) CH4 SIP incubations indicated the predominant activity of type I methanotrophs and microarray hybridization of amplified particulate methane monooxygenase (pmoA) genes confirmed the role of type Ia methanotrophs in SIP incubations. Type II methanotrophs (i.e. Methylocystis and Methylosinus) were only detected in the original sediment and in the unlabelled DNA fractions, which indicated that type II methanotrophs were not actively involved in C1 compound assimilation in DNA-SIP incubations with estuarine surface sediment samples.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".