بررسی الگوی تغییرات تنفس میکروبی پایه و برانگیخته در خاک‌های آلوده به نفت- مطالعه موردی نفت‌شهر کرمانشاه

نویسندگان

1 گروه علوم و مهندسی خاک دانشکده کشاورزی، دانشگاه تبریز

2 دانشیار بیولوژی و بیوتکنولوژی خاک، گروه علوم و مهندسی خاک، دانشکده کشاورزی، دانشگاه تبریز

3 گروه علوم و مهندسی خاک دانشکده کشاورزی، دانشگاه رازی

4 گروه علوم دامی دانشکده کشاورزی، دانشگاه تبریز

5 دانشگاه تبریز

چکیده

آلودگی نفتی یکی از بحرانی‌ترین آلودگی‌های زیست‌محیطی می‌باشد که بر ویژگی‌های زیستی، فیزیکی و شیمیایی خاک تأثیر می‌گذارد. در این تحقیق، شاخص‌های زیستی تنفس پایه (BR) و تنفس برانگیخته (SIR) در خاک‌های آلوده به نفت مورد توجه بود. 120 نمونه خاک آلوده به نفت از منطقه نفت‌شهر کرمانشاه با سه سطح آلودگی شدید (H:High)، متوسط (M:Moderate) و کم (L: Low) از عمق 15-0 سانتی‌متری تهیه شد. پس از اندازه‌گیری ویژگی‌های فیزیکوشیمیایی خاک‌ها، BR و SIR اندازه‌گیری شدند. همچنین برای تعیین جمعیت میکروبی کل و باکتری‌های درگیر در تجزیه نفت، به ترتیب اقدام به شمارش میکروبی در محیط کشت‌های NA و CFMM شد که رابطه مستقیمی با افزایش غلظت نفت داشت. میانگین درصد نفت اندازه‌گیری شده به روش سوکسله، به ترتیب 03/4، 95/9 و 50/22 درصد برای سطوح L، M و H به دست آمد. نتایج نشان داد که با افزایش شدت آلودگی، BR و SIR افزایش یافتند. بالاترین تنفس BR و SIR به ترتیب با مقادیر 053/0 و 234/0(mgCO2/g.h) درخاک‌های H به دست آمد. آنالیز رگرسیون چندگانه متغیرهای مستقل روی BR و SIR نشان داد که مؤثرترین متغیر، درصد نفت (Oil) بود که به ترتیب 59 و72 درصد از واریانسBR و SIR را توجیه کرد. آنالیز مؤلفه‌های اصلی نیز انجام شد و 73 درصد از واریانس تراکمی نمونه‌ها توسط دو مؤلفه اول (مؤلفه بیوشیمیایی و مؤلفه فیزیکی) قابل توجیه بود. آلودگی نفتی طولانی مدت و طبیعی باعث گزینش جامعه میکروبی مقاوم به نفت شده و بنابراین مثبت آنها به حضور ترکیبات نفتی و افزایش تنفس میکروبی را شاهد هستیم.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluation of the pattern of changes in basal and substrate-induced respiration in oil-contaminated soils (Case study: Naft-Shahr Kermanshah)

نویسندگان [English]

  • Shokufeh Moradi 1
  • Mohammad Reza Sarikhani 2
  • Ali Beheshti Ale-Agha 3
  • Karim Hassanpur 4
  • Jalal Shiri 5
1 Department of Soil Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
2 Scientific staff of University of Tabriz
3 Department of Soil Science, Razi University, Kermanshah, Iran
4 Department of Animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
5 Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Iran
چکیده [English]

Abstract
Background and objectives
One of the most critical environmental pollutants is oil contamination. This pollution affects biological characteristics as well as the physical and chemical properties of soil. Soil is a habitat for microbial communities whose abundance and diversity can be affected by petroleum hydrocarbons. Soil biological indicators including microbial respiration, are highly sensitive to environmental stresses and respond to them quickly. Microbial respiration is one of the most common biological indicators which is used to investigate the quality and health of the soil. Since petroleum hydrocarbons are toxic and persistent in soil, studying the pattern of changes in soil biological characteristics is important in effective soil management. The aim of this study was to investigate changes in the basal respiration (BR) and substarte induced respiration (SIR) of microbial communities in the presence of oil, and how petroleum hydrocarbons can disrupt microbial respiration. For this purpose, 120 samples of crude oil-contaminated soils were collected in the oil-rich area of Naft-Shahr (located in the west of Kermanshah province) which had natural and long-term oil pollution. After measuring the physicochemical properties of soil samples microbial respiration was measured by titration method.
Methodology
In this research 120, oil-contaminated soil samples were used. According to the factors included in this experiment, a nested design was used to analyze the data. The test factors included locations (4 locations) and 3 different levels of oil pollution (L: low, M: moderate, and H: high). It should be mentioned that 10 replications were considered in three levels of oil pollution and a total of 120 soil samples were gathered in this study (4×3×10). The collected soils were analyzed for soil texture, pH, EC and organic carbon (OC), and carbonate calcium equivalent (CCE) using standard methods. The concentration of petroleum pollutants, were determined by the Soxhlet extractor. In order to investigate the abundance of culturable microbial population, bacterial counting was carried out in nutrient agar (NA) and carbon-free minimal medium (CFMM)+crude oil media. Basal and substrate-induced respiration were measured by the titration method. Backward regression coefficients were used in order to identify important independent variables affecting changes in BR and SIR. Finally, the results of measuring chemical, physical and biological parameters were analyzed using principal component analysis (PCA).
Findings
The experiments showed that the percentage of oil measured by the Soxhlet method for oil pollution levels (L, M, and H) were 4.03%, 9.95%, and 22.50%, respectively. The obtained results showed that basal and stimulated breathing increased with the increase in the intensity of pollution. Also, the microbial population showed a direct relationship with the increasing of the oil pollution. The highest measured BR and SIR respiration were obtained with values of 0.053 and 0.234 mgCO2/g.h, respectively, in heavily polluted soils .Multiple regression analysis of independent variables on BR and SIR showed that the most influential variable was oil percentage, which individualy explained 59% of BR variance and 72% of SIR variance. Principal components analysis (PCA) was also done and 73% of the density variance of the samples can be justified by the first two components (biochemical component and physical component).
Conclusion
In a summary, according to the microbial respiration results in oil-contaminated soil, the microbial population followed by microbial respiration increased with increasing oil pollutant concentration. It seems that long-term, aged and natural oil pollution has caused the selection of resistant microbial communities to the oil compounds, hence we can observe their positive response to the presence of oil compounds, and an increase in microbial respirations (BR and SIR).
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

کلیدواژه‌ها [English]

  • Oil pollution
  • BR
  • SIR
  • Microbial Population
  • PCA
Abed RM and Al-Kindi S, 2017. Effect of disturbance by oil pollution on the diversity and activity of bacterial communities in biological soil crusts from the Sultanate of Oman. Applied Soil Ecology 110: 88-96.
Anderson JP and Domsch KH, 1973. Quantification of bacterial and fungal contributions to soil respiration. Archives of Microbiology 93: 113-127.
Brohon B, Delolme C and Gourdon R, 2001. Complementarity of bioassays and microbial activity measurements for the evaluation of hydrocarbon-contaminated soils quality. Soil Biology and Biochemistry 33(7-8): 883-891.
Christopher SH, Marsden PJ and Sharleff AS, 1988. Evaluation of methods 3540 (Soxhlet) and 3550 (Sonication) for evaluation of appendix IX analyses from solid samples. S-CUBED, Report for EPA contract: 68-03.
Cox JF, Blackstone JH and Schleier JG, 2003. Managing Operations: A Focuse on Excellence. North River Press, Great Barrington, MA.
Dawson JJC, Godsiffe EJ, Thompson IP, Ralebitso-Senior TK, Killham KS and Paton GI, 2007. Application of biological indicators to assess recovery of hydrocarbon impacted soils. Soil Biology and Biochemistry 39(1): 164-177.
Dos Santos HF, Cury JC, Do Carmo FL, Dos Santos AL, Tiedje J, Van Elsas JD, Rosado AS and Peixoto RS, 2011. Mangrove bacterial diversity and the impact of oil contamination revealed by pyrosequencing: bacterial proxies for oil pollution. PLoS One 6:e16943.
Ebrahimi M, Falah M and Sarikhani MR, 2013. Isolation and identification of some bacteria that decompose petroleum substances from soil contaminated with petroleum substances and checking their growth ability in the presence of gasoline. Water and Soil Science 3(1): 109-121. (In Persian with English abstract).
Ebrahimi M, Sarikhani MR, Safari Sinegani AA, Ahmadi A and Keesstra S, 2019. Estimating the soil respiration under different land uses using artificial neural network and linear regression models. Catena 174: 371-382.
Hui LI, Zhang Y, Kravchenko I, Hui XU and Zhang CG, 2007. Dynamic changes in microbial activity and community structure during biodegradation of petroleum compounds: a laboratory experiment. Journal of Environmental Sciences 19(8): 1003-1013.
Jiao S, Liu Z, Lin Y, Yang J, Chen W and Wei G, 2016. Bacterial communities in oil contaminated soils: Biogeography and co-occurrence patterns. Soil Biology and Biochemistry 98: 64-73.
Kroening SJ and Greenfield LG, 2002. Effects of diesel oil contamination on soil microorganisms. New Zealand Natural Sciences 27: 59-67.
Lee S, Oh B and Kim J, 2008. Effect of various amendments on heavy mineral oil bioremediation and soil microbial activity. Bioresource Technology 99: 2578–2587.
Liang Y, Zhang X, Zhou J and Li G, 2015. Long‐term oil contamination increases deterministic assembly processes in soil microbes. Ecological Applications 25(5): 1235-1243.
Liao J, Wang J, Jiang D, Wang MC and Huang Y, 2015. Long-term oil contamination causes similar changes in microbial communities of two distinct soils. Applied Microbiology and Biotechnology 99(23): 10299-10310.
Lindstrom JE, Barry RP and Braddock JF, 1999. Long-term effects on microbial communities after a subarctic oil spill. Soil Biology and Biochemistry 31(12): 1677-1689.
Margesin R, Hammerle M and Tscherko D, 2007. Microbial activity and community composition during bioremediation of diesel-oil contaminated soil: effects of hydrocarbon concentration, fertilizers, and incubation time. Microbial Ecology 53:259–269
Martens R, 1995. Current methods for measuring microbial biomass C in soil: potentials and limitations. Biology and Fertility of Soils 19(2): 87-99.
Martin AE and Reeve R, 1955. A rapid manometric method for determining soil carbonate. Soil Science 79: 187–197.
Moreno B, Nogales R, Macci C, Masciandaro G and Benitez E, 2011. Microbial eco-physiological profiles to estimate the biological restoration of a trichloroethylene-contaminated soil. Ecological Indicators 11(6): 1563-1571.
Nie M, Zhang XD, Wang JQ, Jiang LF, Yang J, Quan ZX., Cui XH, Fang CM and Li B, 2009. Rhizosphere effects on soil bacterial abundance and diversity in the Yellow River Deltaic ecosystem as influenced by petroleum contamination and soil salinization. Soil Biology and Biochemistry 41(12): 2535-2542.
Norozpour M, Sarikhani MR and Aliasgharzad N, 2023. Monitoring of soil respiration changes in a heavy naphtha-contaminated sandy loam soil under different bioremediation treatments. Water and Soil Science. (In Persian with English abstract).
Nseabasi NO and Antai SP, 2012. Effects of long-term kerosene spillage on heterotrophic microorganisms in soil from Niger Delta, Southern Nigeria. Journal of Applied Sciences and Environmental Management 16(2): 195-199.
Pessacq J, Medina R, Terada C, Bianchini FE, Morelli IS and Del Panno MT, 2015. Assessment of the responsiveness to different stresses of the microbial community from long-term hydrocarbon-contaminated soils. Water, Air, & Soil Pollution 226(2): 1-13.
Phillips LA, Greer CW, Farrell RE and Germida JJ, 2009. Field-scale assessment of weathered hydrocarbon degradation by mixed and single plant treatments. Applied Soil Ecology 42(1): 9-17.
Rowell DL, 1994. Soil Science: Methods and Applications. Longman, UK.
Schinner F, Öhlinger R, Kandeler E and Margesin R, 2012. Methods in Soil Biology. Springer Science & Business Media.
Van Der Gast CJ, Whiteley AS and Thompson IP, 2004. Temporal dynamics and degradation activity of an bacterial inoculum for treating waste metal‐working fluid. Environmental Microbiology 6(3): 254-263.
Vincent AO, Felix E, Weltime MO, Ize-iyamu OK and Daniel EE, 2011. Microbial degradation and its kinetics on crude oil polluted soil. Research Journal of Chemical Sciences 1(6): 8-14.