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The Genomic Revolution: What Does it Mean for Human and Ecological Risk Assessment?

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Abstract

The first sequencing of a complete organism genome occurred in 1995. Since then there has been an explosion of information, with a new organism being sequenced nearly every week. This rapid development of genomics is providing unparalleled opportunities in toxicology, ecology, and risk assessment. This paper provides an overview of some possible applications of this new information in ecological and human risk assessment.

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References

  • Aparicio, S., Chapman, J. and Stupka, E. et al. (2002). Whole-Genome Shotgun Assembly and Analysis of the Genome of Fugu rubripes. Science Express, hhtp://www.sciencexpress.org/ 25 July 2002/.

  • Bannasch, P. et al. (2001). Biomarkers in cancer chemoprevention. IARC Scientific Publication No. 154.

  • Bundy, J.G., Spurgeon, D.J., Svendsen, C., Hankard, P.K., Osborn, D., Lindon, J.C. and Nicholson, J.K. (2002). Methylenetetrahydrofolate reductase (MTHFR) polymorphisms and risk of molecularly defined subtypes of childhood acute leukemia. FEBS Lett. 98, 4004-9.

    Google Scholar 

  • Butler, D. (2001). Are you ready for the revolution? Nature 409, 758-760.

    Google Scholar 

  • Colwell, R.R., Clayton, R.A., Ortiz-Conde, B.A., Jacobs, D. and Russek-Cohen, E. (1995). D. Allsopp, R.R. Colwell and D.L. Hawksworth (eds), Microbial Diversity and Ecosystem Function. CAB International: Wallingford, UK.

    Google Scholar 

  • Department of Energy (2001). Genomics to Life: Accelerating Biological Discovery.

  • Ellis, R.J., Neish, B., Trett, M.W., Best, J.G., Weightman, A.J., Morgan, P. and Fry, J.C. (2001). Comparison of microbial and meiofaunal community analysis for determining impact of heavy metal contamination. J Microbiol. Methods 45, 171-185.

    Google Scholar 

  • European Center for the Validation of Alternative Methods. Biomarkers as Predictive Tools in Toxicity Testing, 1998.

  • Geraci, M.W. et al. (2001). Gene expression patterns in the lungs of patients with primary pulmonary hypertension. Circ. Res. 88, 555-62.

    Google Scholar 

  • Gibson, G. (2002). Microarrays in ecology and evolution: a preview. Mol. Ecol. 11, 17-24.

    Google Scholar 

  • Hemstreet, et al. (2001). Biomarker risk assessment and bladder cancer detection in a cohort exposed to benzidine. J. Natl. Cancer. Inst. 93, 427-36.

    Google Scholar 

  • Khan, J. et al. (2001). Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat. Med. 7, 673-79.

    Google Scholar 

  • Konopka, A., Zakharova, T., Bischoff, M., Oliver, L., Nakatsu, C. and Turco, R.F. (1999). Microbial biomass and activity in lead-contaminated soil. Appl. Environ. Microbiol. 65(5), 2256-9.

    Google Scholar 

  • Lauerman, John F. (2001). Arrays cast toxicology in a new light. Environ. Health Persp. 109(1), 1, http://ehpnetl.niehs.nih.gov/docs/2001/109-1/niehsnews.html

    Google Scholar 

  • Lovett, Richard A. (2000). Toxicologists brace for genomics revolution. Science 289(5479), 536-7.

    Google Scholar 

  • Moore, M.N. (2002). Biocomplexity: the post-genome challenge in ecotoxicology. Aquat. Toxicol. 59(1–2), 1-15.

    Google Scholar 

  • Nevo, E. (1998). Evolution of genome-phenome diversity under environmental stress. Proc. Natl. Acad. Sci. USA 98(11), 6233-40.

    Google Scholar 

  • Pace, N. (1997). A molecular view of microbial diversity and the biosphere. Science 276, 734-40.

    Google Scholar 

  • Pizza, M. et al. (2000). Identification of vaccine candidates against serogroup B Meningococcus by whole-genome sequencing. Science 287, 1816-20.

    Google Scholar 

  • Roessner, U., Luedemann, A., Brust, D., Fiehn, O., Linke, T., Willmitzer, L. and Fernie, A. (2001). Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems. Plant Cell 13(1), 11-29.

    Google Scholar 

  • Society of Toxicology (SOT). Annual Meeting-March 25–29, Risk Policy Report, April 16, 2001.

  • Tanaka, T.S. et al. (2000). Genome-wide expression profiling of mid-gestation placenta and embryo using a 15,000 mouse developmental cDNA microarray. Proc. Natl. Acad. Sci. 97, 9127-32.

    Google Scholar 

  • Torsvik, V., Daae, F.L., Sandaa, R.A. and Ovreas, L. (1998). Novel techniques for analyzing microbial diversity in natural and perturbed environments. J. Biotechnol. 64, 53-62.

    Google Scholar 

  • Torsvik, V., Ovreas, L. and Thingsta, T.F. (2002). Prokaryotic diversity—Magnitude, dynamics, and controlling factors. Science 296, 1064-66.

    Google Scholar 

  • US Environmental Protection Agency. Interim Policy on Genomics, 2002.

  • Whiteley, M., Bangera, M.G., Bumgarner, R.E., Parsek, M.R., Teitzel, G.M., Lory, S. and Greenberg, E.P. (2001). Gene expression in Pseudomonas aeruginosa biofilms. Nature 413(6858), 860-4.

    Google Scholar 

  • Wiemels, J.L. et al. (2001). Methylenetetrahydrofolate reductase (MTHFR) polymorphisms and risk of molecularly defined subtypes of childhood acute leukemia. Proc. Natl. Acad. Sci. USA 98, 4004-9.

    Google Scholar 

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Correspondence to William E. Bishop.

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Travis, C.C., Bishop, W.E. & Clarke, D.P. The Genomic Revolution: What Does it Mean for Human and Ecological Risk Assessment?. Ecotoxicology 12, 489–495 (2003). https://doi.org/10.1023/B:ECTX.0000003035.30693.2d

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  • DOI: https://doi.org/10.1023/B:ECTX.0000003035.30693.2d

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