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Record W4410061730 · doi:10.1101/2025.05.02.651252

Influence of carbon-to-nitrogen ratio on the denitrifying activities of a methanol-fed, marine recirculating denitrification reactor, and the evolution of the bacteria community during the operating process

2025· preprint· en· W4410061730 on OpenAlexaff
Livie Lestin, Richard Villemur

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsDenitrifying bacteriaDenitrificationNitrogenMethanolCarbon fibersEnvironmental scienceProcess (computing)Environmental chemistryChemistryEnvironmental engineeringMaterials scienceComputer scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Background Carbon-to-nitrogen ratio (C/N) is an essential parameter known to influence both the function and the activity of microbial communities in bioprocesses. The right balance between the contribution of each of these resources are essential for sustainable and cost-efficiency bioprocess. Here we aimed to assess the influence of C/N (here methanol and nitrate) on the performance of a recirculating denitrifying reactor for 31 weeks under marine conditions. We also monitored the evolution of its microbial community during the operating conditions. Methodology A 500-mL methanol-fed recirculating denitrification reactor operated under marine conditions and colonized by a naturally occurring multispecies denitrifying biofilm was subjected to eight different C/N over 31 weeks under anoxic conditions. We monitored several physico-chemical parameters (denitrifying activities, methanol consumption, CO 2 production) throughout the operating conditions. Evolution of the bacterial community in the biofilm during the operating conditions was determined by 16S rRNA gene amplicon sequencing. Metatranscriptomes of representative conditions were performed to derive (1) the relative gene expression profiles of Methylophaga nitratireducenticrescens strain GP59, the main denitrifier, and (2) the functional diversity of the biofilm. Results Changes in C/N did not impact the denitrifying activities of the recirculating reactor but did impact the carbon dynamics. Throughout the operating time, nitrite and N 2 O appeared transiently, and ammonium was not observed. The bacterial community in the reactor increased in diversity as the biofilm aged, especially in heterotrophic bacteria, at the expense of methylotrophic bacteria. The functional diversity suggests that heterotrophs could use formaldehyde, which may have been released by methylotrophs in the biofilm, as energy and carbon source. The relative expression profiles of strain GP59 in the biofilm is distinct of those of GP59 planktonic pure cultures, and that the expression of several riboswitches and xoxF would be involved in such differences. Conclusions When the biofilm community is well established in the reactor, it can sustain changes in C/N with limited impact on the denitrification performance. Increase in the proportion of heterotrophs would allow the reactor to be more flexible for carbon sources. Such knowledge can be useful in the optimisation of denitrification process.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.211
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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