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USING GENOMICS TO EXAMINE MULTIPLE EXPOSURE VARIABLES IN BIOINDICATORS RESEARCH
Citation:
Miracle, A L. AND D L. Lattier. USING GENOMICS TO EXAMINE MULTIPLE EXPOSURE VARIABLES IN BIOINDICATORS RESEARCH. Presented at Society of Environmental Toxicology and Chemistry, Austin, TX, November 8-13, 2003.
Impact/Purpose:
The indeterminate condition of exposure indicator research stands to change markedly with the ability to connect molecular biological technologies with cellular or tissue effects and outcomes. Three focal areas of ecological research aim to develop a sequence of approaches where "the earliest recognizable signatures of exposure" (i.e., unique patterns of up- and down-regulated genes and proteins) are identified for numerous stressors, demonstrable in case studies and incorporated into Agency, State and Regional studies supported by EMAP and other programs.
Area 1, Computational Toxicology Research: Exposure assessment has historically been based on use of chemical analysis data to generate exposure models. While biological activity of chemicals has been recognized to be important for exposure risk assessments, measurement of such activity has been limited to whole organism toxicity tests. Use of molecular approaches will:
improve extrapolation between components of source-to-outcome continuum (source , exposure , dose , effect , outcome)
Using a systems modeling approach, gene and protein expression data, in small fish models (fathead minnow and zebrafish), will be integrated with metabolomic and histopathological data. This will assist in prediction of environmental transformation and chemical effects based on structural characteristics, and enhance quantitative risk assessments, including areas of uncertainty such as a basis for extrapolation of effects of endocrine disrupting chemicals, interspecies extrapolation, complex chemical mixtures and dose-response assessment.
Area 2, Ecological Research-Environmental Diagnostics: Development of molecular diagnostic indicators contributes to several of the GPRA Diagnostic Research Goals. Methods will employ DNA microarray technology and expression proteomics, focusing on species of relevance to aquatic ecosystem risk assessment. Significantly, these diagnostic indicators will open the door to understanding subcellular interactions resulting from exposure to complex chemical mixtures.
define relationship between genetic disposition of populations and degree/specificity of stressor-specific gene transcriptional response in aquatic organisms (fish and invertebrates)
identify of chemical mixture induced transcriptional "patterns" using microarrays and hyperspectral scanning - via collaboration with DOE Sandia National Labs
apply molecular indicators to watershed level stressor study, including pilot studies with targeted pesticides and toxins indicators
develop molecular indicators of exposure for invertebrates (Daphnia, Lumbriculus, Chironomus)
Area 3, Exposure Research in Endocrine Disruptors:
Subobjective 1: Develop exposure methods, measurement protocols, and models for assessment of risk management practices of endocrine disrupting compounds. As risk management approaches are identified and developed, there will be a need to identify, adapt and develop bioassay screening tools and other analytical methods to assess their efficacy. Measurements research will be performed to define management needs. This effort will entail cross-lab participation from NRMRL, NERL and NHEERL.
Subobjective 2: Determine extent of environmental and human exposures to EDCs, characterize sources and factors influencing these exposures, develop and evaluate risk management strategies to reduce exposures. In order to develop effective risk management strategies, it is important to understand the extent of exposures to endocrine disrupting compounds and factors influencing source-to-exposure-to-dose relationships.
apply molecular indicators of exposure to estrogenic compounds in selected wastewater treatment plants located in ten USEPA Regions
identify differential gene expression following exposure of fathead minnows to environmental androgens and androgen-like compounds
apply molecular indicators of exposu
Description:
Genomics technologies provide a powerful tool for rapid assessment of differentially expressed genes in laboratory and field animals exposed to toxicants, and a means by which to link the earliest indicators of exposure to diverse effects in organisms and populations. However, application of these new technologies can be challenging when applied to an environmental model organism that has not been historically used in basic biological research. Because there is very little gene sequence information for the standard aquatic toxicology organism, fathead minnow (Pimephales promelas), a unique approach was developed to examine specific gene expression in response to a potent estrogenic stressor across dose and age variables. Exposure-specific subtractive cDNA libraries were constructed from adult liver using 17a-ethynylestradiol (EE2) at nominal, but environmentally relevant concentrations (5 ppt). The resulting differentially expressed cDNA clones were arrayed on a glass slide microarray platform and examined for differences among individuals, life stages, and chemical concentrations. Our data suggest that gene expression profiling will provide a sensitive measure of response to environmental estrogens when analyzed in context of various developmental stages and inter-individual variations. Thus, the use of genomics and microarray technologies to examine gene expression promises to be a powerful tool in understanding environmental exposures and subsequent impacts.