Bacterial Bioreporters for the Real-Time Monitoring of Oil Bioremediation in Marine Microcosms
Hydrocarbons are common contaminants in aquatic habitats, in particular in the Mediterranean sea, because of the number of refineries distributed along the coast and the intensive oil transportation by ship. One of the main challenges of bioremediation is to define effective protocols to overcome in situ the limiting factors of microbial degradation activity. Monitoring the effectiveness of bioremediation is very complex and time-consuming. The aim of our study was to validate bacterial bioreporters as innovative tools to evaluate in real time the efficiency of bio-treatment of oil-polluted samples. Three treatments (Aeration; Biostimulation, and Bioaugmentation) were carried out on artificially contaminated seawater with oil at microcosm scale. The treatments were monitored for 7 days by the use of an Escherichia coli-based alkane luciferase bioreporter (5150) and of an E. coli-based strain constitutively expressing luciferase (5463). Hydrocarbons were monitored by GC-FID analyses while in parallel, quantitative functional gene expression was carried out by real-time PCR with the aim to verify specific microbial consortium activity. The effectiveness of the treatments was estimated as follows: bioaugmentation>biostimulation> no-treatment. The results by the bioreporters were coherent with chemical analyses and Real-time PCR. During the early period of the experiment we observed a different response of the reporters to the oil input and treatments, after that phase, we were able to detect bioreporter induction at significantly reduced rates. Our analyses have also provided evidence for an inhibitory effect of high cell densities in the medium, in particular after 24h of the treatments. In conclusion, for monitoring the efficacy of bioremediation it is necessary to have a significant technical and methodological framework, which includes chemical, biological, engineering approaches. Bacterial bioreporters are versatile tools that can help to monitor the trend of the treatment, can substantially improve the systematic protocols, both in terms of time as well as economic aspects.
Bioremediation, Marine Environment, Monitoring, Bacterial Bioreporters
[1]
Fernandez-Macho J (2016). Risk assessment for marine spills along European coastlines. Marine Pollution Bullettin 113, 200-210.
[2]
Atlas RM, Hazen TC (2011). Oil Biodegradation and Bioremediation: A Tale of the Two Worst Spills in U.S. History. Environmental Science & Technology, 45 (16), 6709–6715.
[3]
Shah MP (2014). Environmental Bioremediation: A Low Cost Nature’ s Natural Biotechnology for Environmental Clean-up, Journal of Petroleum and Environmental Biotechnology, 5 (4), 1-12.
[4]
Genovese M, Crisafi F, Denaro R, Cappello S, Russo D, Calogero R, Santisi S, Catalfamo M, Modica A, Smedile F, Genovese L, Golyshin PN, Giuliano L, Yakimov MM (2014). Effective bioremediation strategy for rapid in situ cleanup of anoxic marine sediments in mesocosm oil spill simulation. Front. Microbiol. 5, 162. doi: 10.3389/fmicb.2014.00162.
[5]
Colwell R, Walker J (1997). Ecological aspects of microbial degradation of petroleum in the marine environment: Crit. Rev. Microbiol. 5, 423-445.
[6]
Margesin R, Schinner F. (2001). Biodegradation and bioremediation of hydrocarbons in extreme environments. Appl. Microbiol. Biotechnol. 56, 650 – 663.
[7]
Macaulay BM, Rees D (2014). Bioremediation of oil spills: a review of challenges for research advancement Ann. Environ. Sci., 8, 9-37.
[8]
Duran R, Cravo-Laureau C (2016). Role of environmental factors and microorganisms in determining the fate of polycyclic aromatic hydrocarbons in the marine environment FEMS Microbiol. Rev. 40, 814-830.
[9]
Heitzer A, Sayler GS (1993). Monitoring the efficacy of bioremediation. Trends Biotech 11, 334-343.
[10]
Acevedo P, Melo-Ferreira J, Farelo L, Beltran-Beck B, Real R, Campos R, Alves PC. (2015). “Range Dynamics Driven by Quaternary Climate Oscillations Explain the Distribution of Introgressed MtDNA of Lepus timidus Origin in Hares from the Iberian Peninsula.” Journal of Biogeography 42: 1727–1735. doi: 10.1111/jbi.12556.
[11]
Diplock E, Mardlin D, Killham K, Paton G (2009). Predicting bioremediation of hydrocarbons: laboratory to field scale. Environ. Pollut. 157, 1831-1840.
[12]
Girotti S, Maiolini E, Bolelli L, Ferri E, Piccolo M, Camanzi L and Pompei A (2011). Bioremediation of hydrocarbons contaminated waters and soils: monitoring by luminescent bacteria test, International Journal of Environmental Analytical Chemistry, 91: 9, 900-909.
[13]
Roggo C.. van der Meer JR (2017). Miniaturized and integrated whole cell living bacterial sensors in field applicable autonomous devices. Curr. Opin. Biotechnol. 45, 24–33. doi: 10.1016/j.copbio.2016.11.023pmid:28088093.
[14]
Kumari R, Tecon R, Beggah S, Rutler R, Arey JS, van der Meer JR (2011) Development of bioreporter assays for the detection of bioavailability of long-chain alkanes based on the marine bacterium Alcanivorax borkumensis strain SK2. Environ Microbiol. 13, 2808–2819.
[15]
Tecon R, van der Meer JR (2008). Bacterial biosensors for measuring availability of environmental pollutants. Sensors. 8, 4062–4080.
[16]
Hassan SHA, Van Ginkel SW, Hussein MAM, Abskharon R, Oh SE (2016). Toxicity assessment using different bioassays and microbial biosensors Environ. Int., 92–93, 106-118.
[17]
Jouanneau S, Durand MJ, Assaf A, Bittel M, Thouand, G. (2017). Bacterial Bioreporter Applications in Ecotoxicology: Concepts and Practical Approach. In Microbial Ecotoxicology (283-311). Springer, Cham.
[18]
Yakimov MM, Golyshin PN, Lang S, Moore ER, Abraham WR, Lünsdorf H, et al. (1998). Alcanivorax borkumensis gen. nov., sp. nov., a new, hydrocarbon-degrading and surfactant-producing marine bacterium. Int. J. Syst. Evol. Microbiol. 48, 339–348.
[19]
Crisafi F, Russo D, Genovese M, Catalfamo M, Smedile F, Giuliano L, Denaro R. (2016). Bioremediation technologies for polluted seawater sampled after an oil-spill in Taranto Gulf (Italy): a comparison of biostimulation, bioaugmentation and use of a washing agent in microcosm studies. Marine Pollution Bullettin 106, 119-126.
[20]
Sticher P, Jaspers M, Harms H, Zehnder AJB, van der Meer JR. (1997). Development and characterization of a whole cell bioluminescent sensor for bioavailable middle-chain alkanes in contaminated groundwater samples. Appl Environ Microbiol 63, 4053-4060.
[21]
Yagur-Kroll S, Belkin S. (2011). Upgrading bioluminescent bacterial bioreporter performance by splitting the lux operon. Anal Bioanal Chem 400, 1071-1082. https://doi.org/10.1007/s00216-010-4266-7.
[22]
Rosenberg E, Ron EZ. (1996). In: Crawford, R.L.D.L. (Ed.), Bioremediation of Petroleum Contamination, in Bioremediation: Principles and Applications. Cambridge University Press, pp. 100–125.
[23]
Yakimov MM, Golyshin PN, Lang S, Moore ERB, Abraham WR, Lünsdorf H, et al, (1998). Alcanivorax borkumensis gen. nov., sp. nov., a new, hydrocarbon- degrading and surfactant-producing marine bacterium. Int. J. Syst. Bacteriol. 48, 339–348. http://dx.doi.org/10.1099/00207713-48-2-339.
[24]
Yakimov MM, Giuliano L, Denaro R, Crisafi E, Chernikova TN, Abraham WR, et al. (2004). Thalassolituus oleivorans gen. nov., sp. nov., a novel marine bacterium that obligately utilizes hydrocarbons. Int. J. Syst. Evol. Microbiol. 54, 141–148. http://dx.doi. org/10.1099/ijs.0.02424-0.
[25]
Liu C, Shao Z. (2005). Alcanivorax dieselolei sp. nov., a novel alkane-degrading bacterium isolated from sea water and deep-sea sediment. Int. J. Syst. Evol. Microbiol. 55, 1181–1186.
[26]
Gauthier, M. J., Lafay, B., Christen, R., Fernandez, L., Acquaviva, M., Bonin, P., Bertrand, J. C., 1992. Marinobacter hydrocarbonoclasticus gen. nov., sp. nov., a new, extremely halotolerant, hydrocarbon-degrading marine bacterium. Int. J. Syst. Bacteriol. 42, 568–576.
[27]
Messina E, Denaro R, Crisafi F, Smedile F, Cappello S, Genovese M,... & Golyshin P. (2015). Genome sequence of obligate marine polycyclic aromatic hydrocarbons-degrading bacterium Cycloclasticus sp. 78-ME, isolated from petroleum deposits of the sunken tanker Amoco Milford Haven, Mediterranean Sea. Marine genomics. 25, 11-13. doi: 10.1016/j.margen.2015.10.006.
[28]
Dyksterhouse SE, Gray JP, Herwig RP, Lara JC, Staley JT. (1995). Cycloclasticus pugetii gen. nov., sp. nov., an aromatic hydrocarbon-degrading bacterium from marine sediments. Int. J. Syst. Bacteriol. 45, 116–123. http://dx.doi.org/10.1099/00207713-45-1-116.
[29]
Porter KG, Feig YS. (1980). The use of DAPI for identifying and counting aquatic microflora. Limnol. Oceanogr. 25, 943–948.
[30]
Livak KJ, Schmittgen, TD (2001). Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCt method. Methods 25, 402–408. http://dx.doi.org/10.1006/meth.2001.1262.
[31]
Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP. (2004). Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper — Excel-based tool using pair-wise correlations. Biotechnol. Lett. 26, 509–515.
[32]
Mikesovà E, Barànkovà L, Sakmaryovà I, Tatarkovà I, Seeman P (2006). Quantitative multiplex real-time PCR for detection of PLP1 gene duplications in Pelizaeus– Merzbacher patients. Genet. Test. 10, 215–220
[33]
Denaro R, Crisafi F, Russo D, Genovese M, Messina E, Genovese L, Carbone M, Ciavatta ML, Ferrer M, Golyshin P, Yakimov MM (2014). Alcanivorax borkumensis produces an extracellular siderophore in iron-limitation condition maintaining the hydrocarbon-degradation efficiency. Mar Genomics. Oct; 17: 43-52. doi: 10.1016/j.margen.2014.07.004.
[34]
Crisafi F, Denaro R, Genovese M, Yakimov M, Genovese L. (2014). Application of relative real-time PCR to detect differential expression of virulence genes in Vibrio anguillarum under standard and stressed growth conditions. J Fish Dis 37, 629–640. http://dx.doi.org/10.1111/jfd.12158.
[35]
Foght JM, Westlake DWS. (1987). Biodegradation of hydrocarbons in freshwater. In: Oil in Freshwater: Chemistry, Biology, Countermeasure Technology. Vandermeulen H. (ed). Pergamon Press, New York. pp. 217-230.
[36]
Atlas RM, Bartha R. (1972) Degradation and mineralization of petroleum in sea water: limitation by nitrogen and phosphorous. Biotechnol Bioeng 14, 309–318.
[37]
Hammer Ø, Harper DAT, and Ryan PD. (2001). PAST: palaeontological statistics software package for education and data analysis. Palaeontol. Electron. 4, 9.
[38]
Brussaard CP, Peperzak L, Beggah S, Wick LY, Wuerz B, Weber J, Samuel Arey J, van der Burg B, Jonas A, Huisman J, van der Meer JR. (2016). Immediate ecotoxicological effects of short-lived oil spills on marine biota. Nat Commun 7, 11206. https://doi.org/10.1038/ncomms11206.
[39]
Tecon R, Beggah S, Czechowska K, Sentchilo V, Chronopoulou PM, McGenity TJ, van der Meer JR. (2010). Development of a multistrain bacterial bioreporter platform for the monitoring of hydrocarbon contaminants in marine environments. Environ Sci Technol 144, 1049-1055.
[40]
Sun Y, Zhao X, Zhang D, Ding A, Chen C, Huang WE, et al. (2017). New naphthalene whole-cell bioreporter for measuring and assessing naphthalene in polycyclic aromatic hydrocarbons contaminated site. Chemosphere 186, 510–518. doi: 10.1016/j.chemosphere.2017.08.027.
[41]
He W, Yuan S, Zhong WH, Siddikee MA, Dai CC (2016). Application of genetically engineered microbial whole-cell biosensors for combined chemosensing Appl. Microbiol. Biotechnol., 100 (2016), pp. 1109-1119, 10.1007/s00253-015-7160-6.