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Effects of phenol on metabolic activities and transcription profiles of cytochrome P450 enzymes in Chironomus kiinensis larvae

Published online by Cambridge University Press:  23 October 2015

C.W. Cao ,
L.L. Sun ,
F. Niu ,
P. Liu ,
D. Chu  and
Z.Y. Wang
C.W. Cao
Affiliation:
School of Forestry, Northeast Forestry University, Harbin, China
L.L. Sun
Affiliation:
School of Forestry, Northeast Forestry University, Harbin, China
F. Niu
Affiliation:
School of Forestry, Northeast Forestry University, Harbin, China
P. Liu
Affiliation:
School of Forestry, Northeast Forestry University, Harbin, China
D. Chu
Affiliation:
School of Forestry, Northeast Forestry University, Harbin, China
Z.Y. Wang*
Affiliation:
School of Forestry, Northeast Forestry University, Harbin, China
*
*Author for correspondence: Phone: +86-451-82191512 Fax: +86-451-82191822 E-mail: zhiyingwangnefu@aliyun.com
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Abstract

Phenol, also known as carbolic acid or phenic acid, is a priority pollutant in aquatic ecosystems. The present study has investigated metabolic activities and transcription profiles of cytochrome P450 enzymes in Chironomus kiinensis under phenol stress. Exposure of C. kiinensis larvae to three sublethal doses of phenol (1, 10 and 100 µM) inhibited cytochrome P450 enzyme activity during the 96 h exposure period. The P450 activity measured after the 24 h exposure to phenol stress could be used to assess the level (low or high) of phenol contamination in the environment. To investigate the potential of cytochrome P450 genes as molecular biomarkers to monitor phenol contamination, the cDNA of ten CYP6 genes from the transcriptome of C. kiinensis were identified and sequenced. The open reading frames of the CYP6 genes ranged from 1266 to 1587 bp, encoding deduced polypeptides composed of between 421 and 528 amino acids, with predicted molecular masses from 49.01 to 61.94 kDa and isoelectric points (PI) from 6.01 to 8.89. Among the CYP6 genes, the mRNA expression levels of the CYP6EW3, CYP6EV9, CYP6FV1 and CYP6FV2 genes significantly altered in response to phenol exposure; therefore, these genes could potentially serve as biomarkers in the environment. This study shows that P450 activity combined with one or multiple CYP6 genes could be used to monitor phenol pollution.

Keywords

Chironomus kiinensisexpression profilingCYP6 subfamilyphenol stress
Type
Research Papers
Information
Bulletin of Entomological Research , Volume 106 , Issue 1 , February 2016 , pp. 73 - 80
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Copyright
Copyright © Cambridge University Press 2015 

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References

AWRC (1984) Australian Water Research Council (AWRC), Australian Water Quality Criteria for Organic Compounds. Australian Water Research Council Technical Paper No. 82, Canberra, Australian Government Publishing Service.Google Scholar
Bautista, M.A.M., Miyata, T., Miura, K. & Tanaka, T. (2009) RNA interference-mediated knockdown of a cytochrome P450, CYP6BG1, from the diamondback moth, Plutella xylostella, reduces larval resistance to permethrin. Insect Biochemistry and Molecular Biology 39, 38–46.CrossRefGoogle ScholarPubMed
Bradford, M.M. (1976) A rapid and sensitive method for the quantization of microgram quantities of protein utilizing the principle of protein-dye binding. Analytical Biochemistry 72, 248–254.CrossRefGoogle Scholar
Budavari, S. (1996) The Merck Index: An Encyclopedia of Chemical, Drugs, and Biologicals. Merck, NJ, Whitehouse Station.Google Scholar
Cao, C.W., Sun, L.L., Wen, R.R., Li, X.P., Wu, H.Q. & Wang, Z.Y. (2012) Toxicity and affecting factors of Bacillus thuringiensis var. israelensis on Chironomus kiiensis larvae. Journal of Insect Science 12, 126.CrossRefGoogle ScholarPubMed
Cao, C.W., Wang, Z.Y., Niu, C.Y., Desneux, N. & Gao, X.W. (2013) Transcriptome profiling of Chironomus kiinensis under phenol stress using Solexa sequencing technology. PLoS ONE 8, 1–12.Google ScholarPubMed
Christen, V., Oggier, D.M. & Fent, K. (2009) A microtiter-plate-based cytochrome P450 3A activity assay in fish cell lines. Environmental Toxicology and Chemistry 28(12), 2632–2638.CrossRefGoogle ScholarPubMed
Cifuentes, D., Chynoweth, R., Guillén, J., De la Rúa, P. & Bielza, P. (2012) Novel cytochrome P450 genes, CYP6EB1 and CYP6EC1, are over-expressed in acrinathrin-resistant Frankliniella occidentalis (Thysanoptera: Thripidae). Journal of Economic Entomology 105(3), 1006–1018.CrossRefGoogle ScholarPubMed
DOE-MU (1986) Water quality criteria and standards for Malaysia. Criteria and Standards for Organic Constituents, Vol. 4 (prepared by Goh, S.H., Yap, S.Y., Lim, R.P.), Malaysia/IPT, DOE, University of Malaysia, 224.Google Scholar
Edi, C.V., Djogbénou, L., Jenkins, A.M., Regna, K., Muskavitch, M.A., Poupardin, R., Jones, C.M., Essandoh, J., Kétoh, G.K., Paine, M.J., Koudou, B.G., Donnelly, M.J., Ranson, H. & Weetman, D. (2014) CYP6 P450 enzymes and ACE-1 duplication produce extreme and multiple insecticide resistance in the malaria mosquito Anopheles gambiae . PLoS Genetics 10(3), e1004236.CrossRefGoogle ScholarPubMed
Feyereisen, R. (2005) Insect cytochrome P450. pp. 1–77 in Gilbert, L.I., Iatrou, K., Gill, S.S. (Eds). Comprehensive Molecular Insect Science, Oxford, Elsevier.Google Scholar
Gopalakrishnan Nair, P.M.G., Park, S.Y. & Choi, J. (2013) Characterization and expression of cytochrome p450 cDNA (CYP9AT2) in Chironomus riparius fourth instar larvae exposed to multiple xenobiotics. Environmental Toxicology and Pharmacology 36, 1133–1140.CrossRefGoogle Scholar
Hannemann, F., Bichet, A., Ewen, K.M. & Bernhardt, R. (2006) Cytochrome P450 systems—biological variations of electron transport chains. Biochimica et Biophysica Acta 1770, 330–344.CrossRefGoogle ScholarPubMed
Lammel, T., Boisseaux, P. & Navas, J.M. (2015) Potentiating effect of graphene nanomaterials on aromatic environmental pollutant-induced cytochrome P450 1A expression in the topminnow fish hepatoma cell line PLHC-1. Environmental Toxicology 30(10), 1192–1204.CrossRefGoogle ScholarPubMed
Lee, J.W., Kim, Y.H., Yoon, S. & Lee, S.K. (2014) Cytochrome P450 system expression and DNA adduct formation in the liver of Zacco platypus following waterborne benzo(a)pyrene exposure: implications for biomarker determination. Environmental Toxicology 29, 1032–1042.CrossRefGoogle ScholarPubMed
Lin, T.M., Lee, S.S., Lai, C.S. & Lin, S.D. (2006) Phenol burn. Burns: Journal of the International Society for Burn Injuries 32(4), 517–21.CrossRefGoogle ScholarPubMed
Liu, X., Chen, J. & Yang, Z. (2010) Characterization and induction of two cytochrome P450 genes, CYP6AE28 and CYP6AE30, in Cnaphalocrocis medinalis: possible involvement in metabolism of rice allelochemicals. Zeitschrift Fur Naturforschung C 65(11–12), 719–725.CrossRefGoogle ScholarPubMed
Ma, J.G., Liu, Y., Niu, D.C. & Li, X.Y. (2015) Effects of chlorpyrifos on the transcription of CYP3A cDNA, activity of acetylcholinesterase, and oxidative stress response of goldfish (Carassius auratus). Environmental Toxicology 30(4), 422–429.CrossRefGoogle ScholarPubMed
Musasia, F.K., Isaac, A.O., Masiga, D.K., Omedo, I.A., Mwakubambanya, R., Ochieng, R. & Mireji, P.O. (2013) Sex-specific induction of CYP6 cytochrome P450 genes in cadmium and lead tolerant Anopheles gambiae . Malaria Journal 12, 97.CrossRefGoogle ScholarPubMed
Nakata, K., Tanaka, Y., Nakano, T. & Adachi, T. (2006) Nuclear receptor-mediated transcriptional regulation in phase I, II, and III xenobiotic metabolizing systems. Drug Metabolism and Pharmacokinetics 21, 437–457.CrossRefGoogle ScholarPubMed
Nigam, A.K., Srivastava, N., Rai, A.K., Kumari, U., Mittal, A.K. & Mittal, S. (2014) The first evidence of cholinesterases in skin mucus of carps and its applicability as biomarker of organophosphate exposure. Environmental Toxicology 29, 788–796.CrossRefGoogle ScholarPubMed
Omura, T. (2010) Structural diversity of cytochrome P450 enzyme system. Journal of Biochemistry 147, 297–306.CrossRefGoogle ScholarPubMed
Pfaffl, M.W., Horgan, G.W. & Dempfle, L. (2002) Relative expression software tool (REST) for group-wise comparison and statistical analysis of relative expression results in real-time PCR. Nucleic Acids Research 30(9), e36.CrossRefGoogle Scholar
Poupardin, R., Riaz, M.A., Vontas, J., David, J.P. & Reynaud, S. (2010) Transcription profiling of eleven cytochrome P450 s potentially involved in xenobiotic metabolism in the mosquito Aedes aegypti . Insect Molecular Biology 19(2), 185–193.CrossRefGoogle ScholarPubMed
Rewitz, K.F., Styrishave, B., Løbner-Olesen, A. & Andersen, O. (2006) Marine invertebrate cytochrome P450: emerging insights from vertebrate and insect analogies. Comparative Biochemistry and Physiology C 143, 363–381.Google ScholarPubMed
Roh, J.Y., Lee, J. & Choi, J. (2006) Assessment of stress-related gene expression in the heavy metal-exposed nematode Caenorhabditis elegans: a potential biomarker for metal-induced toxicity monitoring and environmental risk assessment. Environmental Toxicology and Chemistry 25(11), 2946–2956.CrossRefGoogle ScholarPubMed
Snyder, M.J. (2000) Cytochrome P450 enzymes in aquatic invertebrates: recent advances and future directions. Aquatic Toxicology 48, 529–547.CrossRefGoogle ScholarPubMed
Sun, L., Wang, Z., Zou, C. & Cao, C. (2014) Transcription profiling of 12 Asian gypsy moth (Lymantria dispar) cytochrome P450 genes in response to insecticides. Archives of Insect Biochemistry and Physiology 85(4), 181–94.CrossRefGoogle ScholarPubMed
Tamura, K., Dudley, J., Nei, M. & Kumar, S. (2007) MEGA4: molecular evolutionary genetics analysis (MEGA) software version 4.0. Molecular Biology and Evolution 24, 1596–1599.CrossRefGoogle ScholarPubMed
Thompson, J.D., Gibson, T.J., Plewniak, F., Jeanmougin, F. & Higgins, D.G. (1997) The CLUSTAL-X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Research 25, 4876–4882.CrossRefGoogle ScholarPubMed
USEPA (2000) Methods for Measuring the Toxicity and Bioaccumulation of Sediment-Associated Contaminants with Freshwater Invertebrates, 2nd edn. EPA600/R-99/064. Duluth, MN, Office of Research and Development.Google Scholar
USEPA (2009) National Recommended Water Quality Criteria. Washington, DC, Office of water, Office of Science and Technology.Google Scholar
Van der Oost, R., Beyer, J. & Vermeulen, N.P.E. (2003) Fish bioaccumulation and biomarkers in environmental risk assessment: a review. Environmental Toxicology and Pharmacology 13, 57–149.CrossRefGoogle ScholarPubMed
Warner, M.A. & Harper, J.V. (1985) Cardiac dysrhythmias associated with chemical peeling with phenol. Anesthesiology 62 (3), 366–367.CrossRefGoogle ScholarPubMed
Weber, M., Weber, M. & Kleine-Boymann, M. (2004) Phenol Vol. 26, pp. 503–518 in Ullmann's Encyclopedia of Industrial Chemistry. Wiley-VCH.CrossRefGoogle Scholar
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