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Record W2799410613 · doi:10.7717/peerj.4679

Strain-level genetic diversity of <i>Methylophaga nitratireducenticrescens</i> confers plasticity to denitrification capacity in a methylotrophic marine denitrifying biofilm

2018· article· en· W2799410613 on OpenAlexafffund
Valérie Geoffroy, Geneviève Payette, Florian Mauffrey, Livie Lestin, Philippe Constant, Richard Villemur

Bibliographic record

VenuePeerJ · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsLallemand (Canada)Ste. Anne's HospitalInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDenitrifying bacteriaBiofilmDenitrificationAnoxic watersMicrobiologyBiologyStrain (injury)MicroorganismFood scienceAerobic denitrificationAcclimatizationChemistryEnvironmental chemistryBacteriaBotanyEcologyNitrogenGenetics

Abstract

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Background The biofilm of a methanol-fed, fluidized denitrification system treating a marine effluent is composed of multi-species microorganisms, among which Hyphomicrobium nitrativorans NL23 and Methylophaga nitratireducenticrescens JAM1 are the principal bacteria involved in the denitrifying activities. Strain NL23 can carry complete nitrate (NO${}_{3}^{-}$) reduction to N 2 , whereas strain JAM1 can perform 3 out of the 4 reduction steps. A small proportion of other denitrifiers exists in the biofilm, suggesting the potential plasticity of the biofilm in adapting to environmental changes. Here, we report the acclimation of the denitrifying biofilm from continuous operating mode to batch operating mode, and the isolation and characterization from the acclimated biofilm of a new denitrifying bacterial strain, named GP59. Methods The denitrifying biofilm was batch-cultured under anoxic conditions. The acclimated biofilm was plated on Methylophaga specific medium to isolate denitrifying Methylophaga isolates. Planktonic cultures of strains GP59 and JAM1 were performed, and the growth and the dynamics of NO${}_{3}^{-}$, nitrite (NO${}_{2}^{-}$) and N 2 O were determined. The genomes of strains GP59 and JAM1 were sequenced and compared. The transcriptomes of strains GP59 and JAM1 were derived from anoxic cultures. Results During batch cultures of the biofilm, we observed the disappearance of H. nitrativorans NL23 without affecting the denitrification performance. From the acclimated biofilm, we isolated strain GP59 that can perform, like H. nitrativorans NL23, the complete denitrification pathway. The GP59 cell concentration in the acclimated biofilm was 2–3 orders of magnitude higher than M. nitratireducenticrescens JAM1 and H. nitrativorans NL23. Genome analyses revealed that strain GP59 belongs to the species M. nitratireducenticrescens . The GP59 genome shares more than 85% of its coding sequences with those of strain JAM1. Based on transcriptomic analyses of anoxic cultures, most of these common genes in strain GP59 were expressed at similar level than their counterparts in strain JAM1. In contrast to strain JAM1, strain GP59 cannot reduce NO${}_{3}^{-}$ under oxic culture conditions, and has a 24-h lag time before growth and NO${}_{3}^{-}$ reduction start to occur in anoxic cultures, suggesting that both strains regulate differently the expression of their denitrification genes. Strain GP59 has the ability to reduce NO${}_{2}^{-}$ as it carries a gene encoding a NirK-type NO${}_{2}^{-}$ reductase. Based on the CRISPR sequences, strain GP59 did not emerge from strain JAM1 during the biofilm batch cultures but rather was present in the original biofilm and was enriched during this process. Discussion These results reinforce the unique trait of the species M. nitratireducenticrescens among the Methylophaga genus as facultative anaerobic bacterium. These findings also showed the plasticity of denitrifying population of the biofilm in adapting to anoxic marine environments of the bioreactor.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.062
GPT teacher head0.242
Teacher spread0.180 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

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Citations26
Published2018
Admission routes2
Has abstractyes

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