Quantifying microbial utilization of petroleum hydrocarbons in salt marsh sediments by using the 13C content of bacterial rRNA.
Natural remediation of oil spills is catalyzed by complex microbial consortia. Here we took a whole-community approach to investigate bacterial incorporation of petroleum hydrocarbons from a simulated oil spill. We utilized the natural difference in carbon isotopic abundance between a salt marsh ecosystem supported by the 13C-enriched C4 grass Spartina alterniflora and 13C-depleted petroleum to monitor changes in the 13C content of biomass. Magnetic bead capture methods for selective recovery of bacterial RNA were used to monitor the 13C content of bacterial biomass during a 2-week experiment. The data show that by the end of the experiment, up to 26% of bacterial biomass was derived from consumption of the freshly spilled oil. The results contrast with the inertness of a nearby relict spill, which occurred in 1969 in West Falmouth, MA. Sequences of 16S rRNA genes from our experimental samples also were consistent with previous reports suggesting the importance of Gamma- and Deltaproteobacteria and Firmicutes in the remineralization of hydrocarbons. The magnetic bead capture approach makes it possible to quantify uptake of petroleum hydrocarbons by microbes in situ. Although employed here at the domain level, RNA capture procedures can be highly specific. The same strategy could be used with genus-level specificity, something which is not currently possible using the 13C content of biomarker lipids.
Pearson
Ann
A
Department of Earth and Planetary Sciences, Harvard University, 20 Oxford St., Cambridge MA 02138, USA. pearson@eps.harvard.edu
Kraunz
Kimberly S
KS
Sessions
Alex L
AL
Dekas
Anne E
AE
Leavitt
William D
WD
Edwards
Katrina J
KJ
D001419:Bacteria / Q000235:genetics / Q000378:metabolism*; D001483:Base Sequence; D002250:Carbon Radioisotopes / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods* / Q000706:statistics & numerical data; D052918:Environmental Restoration and Remediation / Q000379:methods; D019015:Geologic Sediments / Q000382:microbiology*; D006838:Hydrocarbons / Q000378:metabolism*; D016013:Likelihood Functions; D008404:Massachusetts; D008957:Models, Genetic; D008969:Molecular Sequence Data; D010578:Petroleum / Q000378:metabolism*; D012335:RNA, Ribosomal / Q000737:chemistry*; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D017422:Sequence Analysis, DNA; D053833:Wetlands
D002250:Carbon Radioisotopes; D006838:Hydrocarbons; D010578:Petroleum; D012335:RNA, Ribosomal; D012336:RNA, Ribosomal, 16S