4.8 Article

Microbial community successional patterns in beach sands impacted by the Deepwater Horizon oil spill

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ISME JOURNAL
卷 9, 期 9, 页码 1928-1940

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SPRINGERNATURE
DOI: 10.1038/ismej.2015.5

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资金

  1. U.S. National Science Foundation (NSF) [1241046, OCE-1057417, OCE-1044939]
  2. NSF graduate research fellowship [2013172310]
  3. grant from BP/The Gulf of Mexico Research Initiative [SA 12-12, GoMRI-008]
  4. Division Of Environmental Biology
  5. Direct For Biological Sciences [1241046] Funding Source: National Science Foundation

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Although petroleum hydrocarbons discharged from the Deepwater Horizon (DWH) blowout were shown to have a pronounced impact on indigenous microbial communities in the Gulf of Mexico, effects on nearshore or coastal ecosystems remain understudied. This study investigated the successional patterns of functional and taxonomic diversity for over 1 year after the DWH oil was deposited on Pensacola Beach sands (FL, USA), using metagenomic and 16S rRNA gene amplicon techniques. Gamma-and Alphaproteobacteria were enriched in oiled sediments, in corroboration of previous studies. In contrast to previous studies, we observed an increase in the functional diversity of the community in response to oil contamination and a functional transition from generalist populations within 4 months after oil came ashore to specialists a year later, when oil was undetectable. At the latter time point, a typical beach community had reestablished that showed little to no evidence of oil hydrocarbon degradation potential, was enriched in archaeal taxa known to be sensitive to xenobiotics, but differed significantly from the community before the oil spill. Further, a clear succession pattern was observed, where early responders to oil contamination, likely degrading aliphatic hydrocarbons, were replaced after 3 months by populations capable of aromatic hydrocarbon decomposition. Collectively, our results advance the understanding of how natural benthic microbial communities respond to crude oil perturbation, supporting the specialization-disturbance hypothesis; that is, the expectation that disturbance favors generalists, while providing (microbial) indicator species and genes for the chemical evolution of oil hydrocarbons during degradation and weathering.

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