2014
DOI: 10.3389/fmicb.2014.00162
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Effective bioremediation strategy for rapid in situ cleanup of anoxic marine sediments in mesocosm oil spill simulation

Abstract: The purpose of present study was the simulation of an oil spill accompanied by burial of significant amount of petroleum hydrocarbons (PHs) in coastal sediments. Approximately 1000 kg of sediments collected in Messina harbor were spiked with Bunker C furnace fuel oil (6500 ppm). The rapid consumption of oxygen by aerobic heterotrophs created highly reduced conditions in the sediments with subsequent recession of biodegradation rates. As follows, after 3 months of ageing, the anaerobic sediments did not exhibit… Show more

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Cited by 72 publications
(41 citation statements)
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References 51 publications
(60 reference statements)
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“…This value is higher than the twofold increase observed in anaerobic mesocosm with a CARD-FISH probe exploring only 26 % of Marinobacter sequence (Genovese et al 2014) but are in agreement with augmentation of Marinobacter ribosomal sequences found by pyrosequencing before and after oil pollution in mangrove (dos Santos et al 2011). In our study, Marinobacter reached about 0.3 % of the bacterial community in mesocosms containing hydrocarbon which is lower than the value found with less specific probe in anaerobic mesocosm by Genovese et al (2014). However, comparison between different studies should be taken with caution since other factors could be involved such as sensitivity to the load of petroleum or the selection of some species not detected by qPCR or CAR-FISH or a kinetic effect.…”
Section: Discussioncontrasting
confidence: 55%
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“…This value is higher than the twofold increase observed in anaerobic mesocosm with a CARD-FISH probe exploring only 26 % of Marinobacter sequence (Genovese et al 2014) but are in agreement with augmentation of Marinobacter ribosomal sequences found by pyrosequencing before and after oil pollution in mangrove (dos Santos et al 2011). In our study, Marinobacter reached about 0.3 % of the bacterial community in mesocosms containing hydrocarbon which is lower than the value found with less specific probe in anaerobic mesocosm by Genovese et al (2014). However, comparison between different studies should be taken with caution since other factors could be involved such as sensitivity to the load of petroleum or the selection of some species not detected by qPCR or CAR-FISH or a kinetic effect.…”
Section: Discussioncontrasting
confidence: 55%
“…In a study on the Deep Horizon spill, Marinobacter aquaolei strain VT8 genome (now affiliated with Marinobacter hydrocarbonoclasticus) was the closest match to metatranscriptomes (Lamendella et al 2014). Moreover, in anoxic mesocosm, Marinobacter strain alkB cDNA, coding for a hydroxylase involved in degradation of short-chain alkanes, has been quantitatively detected by qPCR (Genovese et al 2014). These results led some authors to propose the use of sequences of the genus Marinobacter as one of the proxies for oil pollution monitoring (dos Santos et al 2011;Genovese et al 2014;Gray et al 2011).…”
Section: Introductionmentioning
confidence: 93%
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“…En general, los suelos contaminados-intemperizados presentaron una riqueza de especies menor, comparados con los suelos recién contaminados, siendo notoria la disminución en la riqueza a través del tiempo de muestreo. Genovese et al (2014), atribuyeron este comportamiento a la presión de selección ejercida por los contaminantes sobre una comunidad microbiana en SNC, hacia una comunidad formada por microorganismos degradadores y/o resistentes a los hidrocarburos.…”
Section: Dinámica De La Comunidad Microbiana Nativa En El Ensayo De Bunclassified
“…Sherry et al (2014) show that the composition of the crude oil itself may play a critical role as volatile hydrocarbons inhibit biodegradation under methanogenic conditions. Capping and in situ aeration are shown to effectively remediate and detoxify buried oil in anaerobic marine sediments by Genovese et al (2014). Torlapati and Boufadel (2014) present a numerical model that employs genetic algorithms to predict biodegradation kinetics for oil entrapped in sediments.…”
mentioning
confidence: 99%