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Oil type and temperature dependent biodegradation dynamics - Combining chemical and microbial community data through
Deni Ribicic1,2, Kelly Marie McFarlin3, Roman Netzer3
1SINTEF Ocean, Environment and New Resources, Brattørkaia 17C, 7010, Trondheim, Norway. deni.ribicic@sintef.no.
BMC Microbiology
|August 9, 2018
Summary
This study introduces a multivariate approach to analyze oil biodegradation, revealing how temperature and oil type impact microbial communities and hydrocarbon breakdown. The findings highlight complex correlations between microbial degraders and oil chemistry.
Area of Science:
- Environmental Science
- Microbiology
- Biogeochemistry
Background:
- Studying chemically dispersed oil biodegradation is complex due to inconsistent data.
- Multivariate approaches are needed to correlate microbial communities with chemical changes.
- This research addresses challenges in comparing multiple experiments with varied sampling points.
Purpose of the Study:
- To introduce a comparative multivariate approach for studying dispersed oil biodegradation.
- To identify correlations between microbial composition, hydrocarbon changes, oil type, and temperature.
- To create modelled datasets from inconsistent sampling points for enhanced analysis.
Main Methods:
- Conducted four incubation experiments using Norwegian seawater with Grane and Troll oil dispersed by Corexit 9500.
- Incubations were performed at two temperatures (5°C and 13°C) over 64 days.
- Applied principal component analysis (PCA) and clustering analysis to modelled chemical and microbial datasets.
Main Results:
- PCA revealed differences in hydrocarbon biodegradation rates influenced by temperature and oil type.
- At 5°C, n-alkanes biodegraded faster in Grane oil than Troll oil.
- Microbial communities differed between temperatures, with Colwelliaceae and Oceanospirillaceae more abundant at 5°C.
Conclusions:
- The multivariate approach effectively demonstrated the influence of temperature and oil type on oil biodegradation.
- Clustering analysis elucidated the impact of conditions on compound depletion and microbial composition.
- Correlation analysis revealed complex interactions between oil-degrading bacteria and specific hydrocarbon degradation.
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