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Record W4388526293 · doi:10.1128/aem.00987-23

The effect of hydrostatic pressure on the activity and community composition of hydrocarbon-degrading bacteria in Arctic seawater

2023· article· en· W4388526293 on OpenAlexfundno aff
Angeliki Marietou, Jennie Spicker Schmidt, Martin Reinhard Rasmussen, Alberto Scoma, Søren Rysgaard, Leendert Vergeynst

Bibliographic record

VenueApplied and Environmental Microbiology · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
FundersFisheries and Oceans CanadaGovernment of CanadaVillum FondenAarhus Universitet
KeywordsSeawaterHydrostatic pressureBacteriaHydrocarbonComposition (language)Hydrostatic equilibriumEnvironmental chemistryArcticChemistryEnvironmental scienceBiologyEcologyOrganic chemistryThermodynamics

Abstract

fetched live from OpenAlex

ABSTRACT There is a renewed interest in hydrocarbon biodegradation in Arctic seawaters due to increasing ship traffic and risk for oil spills. Most studies, however, fail to address the effect of increasing pressure as an environmental parameter. Here, we conducted a series of pressurized enrichments (0.1–30 MPa, 4°C) inoculated with a 100-day-old hydrocarbon-degrading biofilm collected from 615 m deep in Arctic seawater. Cell-specific CO 2 production rates provided a clear summary of the observed microbial activity: a bloom of a hydrocarbon degrading-biofilm generating 0.82–0.90 fmol CO 2 ⋅bacterial gene −1 ⋅day −1 at 0.1–8 MPa, but undetectable activity at 30 MPa until day 6. At 30 MPa, the microbial activity increased between days 6 and 34 with an average rate of 0.36 ± 0.08 fmol CO 2 ⋅bacterial gene −1 ⋅day −1 . Amplicon sequencing revealed no differences in the microbial community composition at 0.1–12 MPa. While the typical Arctic alkane degraders Oleispira and Shewanella were abundant across all hydrostatic pressures and over time, Colwellia, Neptunomonas , and Kiloniella were significantly enriched solely at 30 MPa. Our results suggest that the physiological adaptations of psychrophilic bacteria to thrive at sub-zero temperature make Arctic oil degraders tolerant to mild hydrostatic pressures of up to 12 MPa, whereas temperate climate communities have shown hydrostatic pressure-induced inhibition at 10–15 MPa in comparable studies. The activity of hydrocarbon degraders in sinking marine oil snow in the Arctic may remain unaffected down to depths of about 1,200 m, after which hydrostatic pressure can significantly affect hydrocarbon degradation at increasing depths down to 3,000 m. IMPORTANCE Increased ship traffic in the Arctic region raises the risk of oil spills. With an average sea depth of 1,000 m, there is a growing concern over the potential release of oil sinking in the form of marine oil snow into deep Arctic waters. At increasing depth, the oil-degrading community is exposed to increasing hydrostatic pressure, which can reduce microbial activity. However, microbes thriving in polar regions may adapt to low temperature by modulation of membrane fluidity, which is also a well-known adaptation to high hydrostatic pressure. At mild hydrostatic pressures up to 8–12 MPa, we did not observe an altered microbial activity or community composition, whereas comparable studies using deep-sea or sub-Arctic microbial communities with in situ temperatures of 4–5°C showed pressure-induced effects at 10–15 MPa. Our results suggest that the psychrophilic nature of the underwater microbial communities in the Arctic may be featured by specific traits that enhance their fitness at increasing hydrostatic pressure.

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 score0.004
Threshold uncertainty score0.007

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)0.0010.000

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 head0.005
GPT teacher head0.183
Teacher spread0.178 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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