Hyphomicrobium nitrativorans sp. nov., isolated from the biofilm of a methanol-fed denitrification system treating seawater at the Montreal Biodome
Bibliographic record
Abstract
A budding prosthecate bacterial strain, designated NL23(T), was isolated from a methanol-fed denitrification system treating seawater at the Montreal Biodome, Canada. Phylogenetic analysis based on 16S rRNA (rRNA) gene sequences showed that the strain was affiliated with the genus Hyphomicrobium of the Alphaproteobacteria and was most closely related to Hyphomicrobium zavarzinii with 99.4 % sequence similarity. Despite this high level of 16S rRNA gene sequence similarity, DNA-DNA hybridization assays showed that strain NL23(T) was only distantly related to H. zavarzinii ZV-622(T) (12 %). Strain NL23(T) grew aerobically, but also had the capacity to grow under denitrifying conditions in the presence of nitrate without nitrite accumulation. Growth occurred at pH 7.0-9.5, with 0-1 % NaCl and at temperatures of 15-35 °C. Major fatty acids were C18 : 1ω7c or ω6c (84.6 %) and C18 : 0 (8.5 %), and major quinones were Q8 (5 %) and Q9 (95 %). The complete genome of the strain was sequenced and showed a DNA G+C content of 63.8 mol%. Genome analysis predicted open reading frames (ORF) encoding the key enzymes of the serine pathway as well as enzymes involved in methylotrophy. Also, ORF encoding a periplasmic nitrate reductase (Nap), a nitrite reductase (Nir), a nitric oxide reductase (Nor) and a nitrous oxide reductase (Nos) were identified. Our results support that strain NL23(T) represents a novel species within the genus Hyphomicrobium, for which the name Hyphomicrobium nitrativorans sp. nov. is proposed. The type strain is NL23(T) ( = ATCC BAA-2476(T) = LMG 27277(T)).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".