Oil type and temperature dependent biodegradation dynamics - Combining chemical and microbial community data through multivariate analysis

• DOI: 10.1186/s12866-018-1221-9
• Publication Date: 2018-08-07T12:54:30Z
• Authors: Deni Ribicic; Kelly Marie McFarlin; Roman Netzer; Odd Gunnar Brakstad; Anika Winkler; Mimmi Throne-Holst; Trond Røvik Størseth
• Keywords: Parasitology

This study investigates a comparative multivariate approach for studying the biodegradation of chemically dispersed oil. The rationale this lies in inherent complexity data and challenges associated with comparing multiple experiments inconsistent sampling points, respect to inferring correlations visualizing datasets numerous variables. We aim identify novel among microbial community composition, chemical change individual petroleum hydrocarbons, oil type temperature by creating modelled from time points. Four different incubation were conducted freshly collected Norwegian seawater either Grane Troll Corexit 9500. Incubations at two temperatures (5 °C 13 °C) over period 64 days. PCA analysis calculated half-lives revealed differences hydrocarbons types. At 5 °C, most n-alkanes biodegraded faster heavy compared light reveal between type, especially low temperature. For both oils, Colwelliaceae Oceanospirillaceae more prominent colder than warmer (13 °C). Overall, Colwelliaceae, Oceanospirillaceae, Flavobacteriaceae, Rhodobacteraceae, Alteromonadaceae Piscirickettsiaceae consistently dominated Other families known include oil-degrading bacteria also identified, such as Alcanivoracaceae, Methylophilaceae, Sphingomonadaceae Erythrobacteraceae, but they all present incubations abundance (< 1%). In current study, our goal was introduce oil, including curve-fitted models greater resolution comparability. By applying these approaches, we have shown how types influence Clustering further single compound depletion composition. Finally, correlation degraders community, data, beneath usual cut-offs used studies.