The bacterial strains JAM1<sup>T</sup> and GP59 of the species <i>Methylophaga nitratireducenticrescens</i> differ in their expression profiles of denitrification genes in oxic and anoxic cultures
Bibliographic record
Abstract
Background Strain JAM1T and strain GP59 of the methylotrophic, bacterial species Methylophaga nitratireducenticrescens were isolated from a microbial community of the biofilm that developed in a fluidized-bed, methanol-fed, marine denitrification system. Despite of their common origin, both strains showed distinct physiological characters towards the dynamics of nitrate (${\mathrm{NO}}_{3}^{-}$) reduction. Strain JAM1T can reduce ${\mathrm{NO}}_{3}^{-}$ to nitrite (${\mathrm{NO}}_{2}^{-}$) but not ${\mathrm{NO}}_{2}^{-}$ to nitric oxide (NO) as it lacks a NO-forming ${\mathrm{NO}}_{2}^{-}$ reductase. Strain GP59 on the other hand can carry the complete reduction of ${\mathrm{NO}}_{3}^{-}$ to N2. Strain GP59 cultured under anoxic conditions shows a 24-48h lag phase before ${\mathrm{NO}}_{3}^{-}$ reduction occurs. In strain JAM1T cultures, ${\mathrm{NO}}_{3}^{-}$ reduction begins immediately with accumulation of ${\mathrm{NO}}_{2}^{-}$. Furthermore, ${\mathrm{NO}}_{3}^{-}$ is reduced under oxic conditions in strain JAM1T cultures, which does not appear in strain GP59 cultures. These distinct characters suggest differences in the regulation pathways impacting the expression of denitrification genes, and ultimately growth. Methods Both strains were cultured under oxic conditions either with or without ${\mathrm{NO}}_{3}^{-}$, or under anoxic conditions with ${\mathrm{NO}}_{3}^{-}$. Transcript levels of selected denitrification genes (nar1 and nar2 encoding ${\mathrm{NO}}_{3}^{-}$ reductases, nirK encoding ${\mathrm{NO}}_{2}^{-}$ reductase, narK12f encoding ${\mathrm{NO}}_{3}^{-}$/${\mathrm{NO}}_{2}^{-}$transporter) and regulatory genes (narXL and fnr) were determined by quantitative reverse transcription polymerase chain reaction. We also derived the transcriptomes of these cultures and determined their relative gene expression profiles. Results The transcript levels of nar1 were very low in strain GP59 cultured under oxic conditions without ${\mathrm{NO}}_{3}^{-}$. These levels were 37 times higher in strain JAM1T cultured under the same conditions, suggesting that Nar1 was expressed at sufficient levels in strain JAM1T before the inoculation of the oxic and anoxic cultures to carry ${\mathrm{NO}}_{3}^{-}$ reduction with no lag phase. Transcriptomic analysis revealed that each strain had distinct relative gene expression profiles, and oxygen had high impact on these profiles. Among denitrification genes and regulatory genes, the nnrS3 gene encoding factor involved in NO-response function had its relative gene transcript levels 5 to 10 times higher in strain GP59 cultured under oxic conditions with ${\mathrm{NO}}_{3}^{-}$ than those in both strains cultured under oxic conditions without ${\mathrm{NO}}_{3}^{-}$. Since NnrS senses NO, these results suggest that strain GP59 reduced ${\mathrm{NO}}_{3}^{-}$ to NO under oxic conditions, but because of the oxic environment, NO is oxidized back to ${\mathrm{NO}}_{3}^{-}$ by flavohemoproteins (NO dioxygenase; Hmp), explaining why ${\mathrm{NO}}_{3}^{-}$ reduction is not observed in strain GP59 cultured under oxic conditions. Conclusions Understanding how these two strains manage the regulation of the denitrification pathway provided some clues on how they response to environmental changes in the original biofilm community, and, by extension, how this community adapts in providing efficient denitrifying activities.
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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) | 0.000 | 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 | 0.001 |
| 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 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".