Identification of methylmercury tolerance gene candidates in drosophila

Toxicological Sciences

Volumn 116, Issue 1, 2010, Pages 225-238

  Mahapatra, Cecon T ^a   Bond, Jeffrey ^a   Rand, David M ^b   Rand, Matthew D ^a  

^a UNIVERSITY OF VERMONT   (United States)

^b BROWN UNIVERSITY   (United States)

Author keywords

Alternative models; Cytochrome P450; Immune pathways; MeHg; Methylmercury; Stress response; Turandot

Indexed keywords

CYTOCHROME P450; DROSOPHILA PROTEIN; METHYLMERCURY; TRANSCRIPTOME; TURANDOT A PROTEIN; UNCLASSIFIED DRUG; MESSENGER RNA; METHYLMERCURY DERIVATIVE;

ANIMAL TISSUE; ARTICLE; AUTOSOMAL DOMINANT INHERITANCE; CHEMICAL STRESS; CONTROLLED STUDY; DOWN REGULATION; DROSOPHILA; FEMALE; GENE EXPRESSION; GENE IDENTIFICATION; MALE; MERCURIALISM; METAL TOLERANCE; NONHUMAN; SIGNAL TRANSDUCTION; TOXICOGENETICS; TOXICOKINETICS; TRANSCRIPTION REGULATION; UPREGULATION; ADAPTATION; ANIMAL; GENE EXPRESSION PROFILING; GENETICS; POLYMERASE CHAIN REACTION;

ADAPTATION, PHYSIOLOGICAL; ANIMALS; DROSOPHILA; GENE EXPRESSION PROFILING; METHYLMERCURY COMPOUNDS; POLYMERASE CHAIN REACTION; RNA, MESSENGER;

EID: 77954378743     PISSN: 10966080     EISSN: 10960929     Source Type: Journal    
DOI: 10.1093/toxsci/kfq097     Document Type: Article

References (50)

1. Agaisse, H., Petersen, U. M., Boutros, M., Mathey-Prevot, B., and Perrimon, N. (2003). Signaling role of hemocytes in Drosophila JAK/STAT-dependent response to septic injury. Dev. Cell 5, 441-450.
2. Ashok, Y. (2009). Drosophila toll pathway: the new model. Sci. Signal. 2(52), jc1.
3. Ballatori, N., and Clarkson, T. W. (1983). Biliary transport of glutathione and methylmercury. Am. J. Physiol. 244, G435-G441.
4. Belles-Isles, M., Ayotte, P., Dewailly, E., Weber, J. P., and Roy, R. (2002). Cord blood lymphocyte functions in newborns from a remote maritime population exposed to organochlorines and methylmercury. J. Toxicol. Environ. Health 65, 165-182.
5. Benjamin, Y., and Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. B57, 289-300.
6. Bland, C. E., and Rand, M. R. (2006). Methylmercury induces activation of Notch signaling. Neurotoxicology 27, 982-991.
7. Bolstad, B. M., Irizarry, R. A., Astrand, M., and Speed, T. P. (2003). A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 19, 185-193.
8. Brand, A. H., Manoukian, A. S., and Perrimon, N. (1994). Ectopic expression in Drosophila. Methods Cell Biol. 44, 635-654.
9. Brand, A. H., and Perrimon, N. (1993). Targeted gene expression as a means of altering cell fates and generating dominant phenotypes. Development 118, 401-415.
10. Brun, S., Vidal, S., Spellman, P., Takahashi, K., Tricoire, H., and Lemaitre, B. (2006). The MAPKKK Mekk1 regulates the expression of Turandot stress genes in response to septic injury in Drosophila. Genes Cells 11, 397-407.
11. Camon, E., Magrane, M., Barrell, D., Lee, V., Dimmer, E., Maslen, J., Binns, D., Harte, N., Lopez, R., and Apweiler, R. (2004). The Gene Ontology Annotation (GOA) Database: sharing knowledge in Uniprot with Gene Ontology. Nucleic Acids Res. 32, D262-D266.
12. Clarkson, T. W., and Magos, L. (2006). The toxicology of mercury and its chemical compounds. Crit. Rev. Toxicol. 36, 609-662.
13. Custodio, H. M., Broberg, K., Wennberg, M., Jansson, J. H., Vessby, B., Hallmans, G., Stegmayr, B., and Skerfving, S. (2004). Polymorphisms in glutathione-related genes affect methylmercury retention. Arch. Environ. Health 59, 588-595.
14. Daborn, P. J., Lumb, C., Boey, A., Wong, W., Ffrench-Constant, R. H., and Batterham, P. (2007). Evaluating the insecticide resistance potential of eight Drosophila melanogaster cytochrome P450 genes by transgenic over-expression. Insect Biochem. Mol. Biol. 37, 512-519.
15. Daborn, P. J., Yen, J. L., Bogwitz, M. R., Le Goff, G., Feil, E., Jeffers, S., Tijet, N., Perry, T., Heckel, D., Batterham, P., et al. (2002). A single p450 allele associated with insecticide resistance in Drosophila. Science 297, 2253-2256.
16. Dennis, G., Jr, Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., and Lempicki, R. A. (2003). DAVID: Database for Annotation, Visualization, and Integrated Discovery. Genome Biol. 4, P3.
17. Ekengren, S., and Hultmark, D. (2001). A family of Turandot-related genes in the humoral stress response of Drosophila. Biochem. Biophys. Res. Commun. 284, 998-1003.
18. Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., et al. (2004). Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 5, R80.
19. Gonzalez, P., Dominique, Y., Massabuau, J. C., Boudou, A., and Bourdineaud, J. P. (2005). Comparative effects of dietary methylmercury on gene expression in liver, skeletal muscle, and brain of the zebrafish (Danio rerio). Environ. Sci. Technol. 39, 3972-3980.
20. Hrdlicka, L., Gibson, M., Kiger, A., Micchelli, C., Schober, M., Schock, F., and Perrimon, N. (2002). Analysis of twenty-four Gal4 lines in Drosophila melanogaster. Genesis 34, 51-57.
21. Huang, L. S., Myers, G. J., Davidson, P. W., Cox, C., Xiao, F., Thurston, S. W., Cernichiari, E., Shamlaye, C. F., Sloane-Reeves, J., Georger, L., et al. (2007). Is susceptibility to prenatal methylmercury exposure from fish consumption non-homogeneous? Tree-structured analysis for the Seychelles Child Development Study. Neurotoxicology 28, 1237-1244.
22. Iyanagi, T. (2007). Molecular mechanism of phase I and phase II drug-metabolizing enzymes: implications for detoxification. Int. Rev. Cytol. 260, 35-112.
23. Kaur, P., Aschner, M., and Syversen, T. (2006). Glutathione modulation influences methyl mercury induced neurotoxicity in primary cell cultures of neurons and astrocytes. Neurotoxicology 27, 492-500.
24. Leiva-Presa, A., Capdevila, M., Cols, N., Atrian, S., and Gonzalez-Duarte, P. (2004). Chemical foundation of the attenuation of methylmercury(II) cytotoxicity by metallothioneins. Euro. J. Biochem. FEBS 271, 1323-1328.
25. Levitin, A., Marcil, A., Tettweiler, G., Laforest, M. J., Oberholzer, U., Alarco, A. M., Thomas, D. Y., Lasko, P., and Whiteway, M. (2007). Drosophila melanogaster Thor and response to Candida albicans infection. Eukaryot. Cell 6, 658-663.
26. Livak, K. J., and Schmittgen, T. D. (2001). Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25, 402-408.
27. Lucier, G. W., Matthews, H. B., Brubaker, P. E., Klein, R., and McDaniel, O. S. (1973). Effects of methylmercury on microsomal mixed-function oxidase components of rodents. Mol. Pharmacol. 9, 237-246.
28. MacKay, T. F. C. (2001). Quantitative trait loci in Drosophila. Nat. Rev. Genet. 2, 11-20.
29. Magnusson, J., and Ramel, C. (1986). Genetic variation in the susceptibility to mercury and other metal compounds in Drosophila melanogaster. Teratog., Carcinog. Mutagen. 6, 289-305.
30. Mielke, P. W., and Berry, K. J. (2007). Permutation Methods: A Distance Function Approach, 2nd ed. Springer series in statistics. Springer, New York.
31. Morgan, T. J., and Mackay, T. F. (2006). Quantitative trait loci for thermotolerance phenotypes in Drosophila melanogaster. Heredity 96, 232-242.
32. National Research Council (NRC). (2000). Health Effects of Methylmercury. In Toxicological Effects of Methylmercury (Committee on the Toxicological Effects of Methylmercury and National Research Council), Chapter 5, p. 158. National Academy Press, Washington, DC.
33. Nielsen, M. M., Sorensen, J. G., Kruhoffer, M., Justesen, J., and Loeschcke, V. (2006). Phototransduction genes are up-regulated in a global gene expression study of Drosophila melanogaster selected for heat resistance. Cell Stress Chaperones 11, 325-333.
34. Norseth, T., and Clarkson, T. W. (1970). Studies on the biotransformation of 203Hg-labeled methyl mercury chloride in rats. Arch. Environ. Health 21, 717-727.
35. Ortiz, J. G., Opoka, R., Kane, D., and Cartwright, I. L. (2009). Investigating arsenic susceptibility from a genetic perspective in Drosophila reveals a key role for glutathione synthetase. Toxicol. Sci. 107, 416-426.
36. Rand, M. D., Dao, J. C., and Clason, T. A. (2009). Methylmercury disruption of embryonic neural development in Drosophila. Neurotoxicology 30, 794-802.
37. Ruden, D. M., Chen, L., Possidente, D., Possidente, B., Rasouli, P., Wand, L., Lu, L., Garfinkel, M. D., Hirsch, H. V. B., and Page, G. P. (2009). Genetical toxicogenomics in Drosophila identifies master-modulatory loci that are regulated by developmental exposure to lead. Neurotoxicology 30, 898-914.
38. Schlawicke Engstrom, K., Stromberg, U., Lundh, T., Johansson, I., Vessby, B., Hallmans, G., Skerfving, S., and Broberg, K. (2008). Genetic variation in glutathione-related genes and body burden of methylmercury. Environ. Health Perspect. 116, 734-739.
39. Shanker, G., Syversen, T., Aschner, J. L., and Aschner, M. (2005). Modulatory effect of glutathione status and antioxidants on methylmercury-induced free radical formation in primary cultures of cerebral astrocytes. Brain Res. Mol. Brain Res. 137, 11-22.
40. Shenker, B. J., Pankoski, L., Zekavat, A., and Shapiro, I. M. (2002). Mercury-induced apoptosis in human lymphocytes: caspase activation is linked to redox status. Antioxid. Redox Signal. 4, 379-389.
41. Smart, R., and Hodgson, E. (2008). Structure Mechanism, and Regulation of Cytochromes P450. In Molecular and Biochemical Toxicology (R. Smart and E. Hodgson, Eds.), p. 147. John Wiley and Sons, Hoboken, NJ.
42. Smyth, G. (2005). Limma: Linear Models for Microarray Data. In Bioinformatics and Computational Biology Solutions Using R and Bioconductor (R. Gentleman, V. J. Carey, W. Huber, R. Irizarry, and S. Dudoit, Eds.), pp. 397-420. Springer, New York.
43. Smyth, G. K. (2004). Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Stat. Appl. Genet. Mol. Biol. 3, art 3.
44. Sorensen, J. G., Nielsen, M. M., Kruhoffer, M., Justesen, J., and Loeschcke, V. (2005). Full genome gene expression analysis of the heat stress response in Drosophila melanogaster. Cell Stress Chaperones 10, 312-328.
45. Suda, I., and Hirayama, K. (1992). Degradation of methyl and ethyl mercury into inorganic mercury by hydroxyl radical produced from rat liver microsomes. Arch. Toxicol. 66, 398-402.
46. Waltzer, L., Bataille, L., Peyrefitte, S., and Haenlin, M. (2002). Two isoforms of Serpent containing either one or two GATA zinc fingers have different roles in Drosophila haematopoiesis. EMBO J. 21, 5477-5486.
47. Wang, Y., Pot, D., Kachman, S. D., Nuzhdin, S. V., and Harshman, L. G. (2006). A quantitative trait locus analysis of natural genetic variation for Drosophila melanogaster oxidative stress survival. J. Hered. 97, 355-366.
48. Yao, C. P., Allen, J. W., and Aschner, M. (1999). Metallothioneins attenuate methylmercury-induced neurotoxicity in cultured astrocytes and astrocytoma cells. Ann. N. Y. Acad. Sci. 890, 223-226.
49. Yao, C. P., Allen, J. W., Mutkus, L. A., Xu, S. B., Tan, K. H., and Aschner, M. (2000). Foreign metallothionein-I expression by transient transfection in MT-I and MT-II null astrocytes confers increased protection against acute methylmercury cytotoxicity. Brain Res. 855, 32-38.
50. Yasutake, A., and Hirayama, K. (1988). Sex and strain differences of susceptibility to methylmercury toxicity in mice. Toxicology 51, 47-55.