Biotechnologies for Marine Oil Spill Cleanup: Indissoluble Ties with Microorganisms
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TIBTECH-D-17-00022_R1 accepted MS.pdf
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ArticleAuthors
Mapelli, Francesca
Scoma, Alberto
Michoud, Gregoire

Aulenta, Federico
Boon, Nico
Borin, Sara

Kalogerakis, Nicolas
Daffonchio, Daniele

KAUST Department
Biological and Environmental Sciences and Engineering (BESE) DivisionBioscience Program
Date
2017-05-13Online Publication Date
2017-05-13Print Publication Date
2017-09Permanent link to this record
http://hdl.handle.net/10754/623666
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Show full item recordAbstract
The ubiquitous exploitation of petroleum hydrocarbons (HCs) has been accompanied by accidental spills and chronic pollution in marine ecosystems, including the deep ocean. Physicochemical technologies are available for oil spill cleanup, but HCs must ultimately be mineralized by microorganisms. How environmental factors drive the assembly and activity of HC-degrading microbial communities remains unknown, limiting our capacity to integrate microorganism-based cleanup strategies with current physicochemical remediation technologies. In this review, we summarize recent findings about microbial physiology, metabolism and ecology and describe how microbes can be exploited to create improved biotechnological solutions to clean up marine surface and deep waters, sediments and beaches.Citation
Mapelli F, Scoma A, Michoud G, Aulenta F, Boon N, et al. (2017) Biotechnologies for Marine Oil Spill Cleanup: Indissoluble Ties with Microorganisms. Trends in Biotechnology. Available: http://dx.doi.org/10.1016/j.tibtech.2017.04.003.Sponsors
King Abdullah University of Science and Technology (KAUST) supported the study through the baseline research funds to D.D. Figure 1 ; Figure 2 were produced by Xavier Pita and Figure 3 was produced by Heno Hwang, scientific illustrators at King Abdullah University of Science and Technology (KAUST).Publisher
Elsevier BVJournal
Trends in BiotechnologyPubMed ID
28511936Additional Links
http://www.sciencedirect.com/science/article/pii/S0167779917300847ae974a485f413a2113503eed53cd6c53
10.1016/j.tibtech.2017.04.003
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