The inorganic metalloid arsenic, organic chlorinated solvents (e. g. trichloroethene (TCE)) and aromatic hydrocarbons (e. g. benzene, toluene, ethylbenzene and xylenes (BTEX)) are frequently detected as a mixture of contaminants in groundwater aquifers. Their presence in drinking water supplies represents a hazard to public health and the environment. Currently, arsenic ranks No.1 on the ATSDR Priority List of Hazardous Substances and has been reported as a problem at 917 Superfund National Priorities List sites. Due to its common co-occurrence with TCE and BTEX at these sites, it is important to understand the effects of potential remediation strategies that target only one contaminant class on the fate and transport of the other contaminants. The objective of this project is to apply systems biology approaches to study interactions within microbial communities involved in the bioremediation of groundwater mixtures containing arsenic species in combination with TCE and BTEX.
We aim to enrich and study microbial communities that can concurrently reduce the bioavailability of arsenic and degrade the co-contaminants and specifically address complex problems arising from the presence of chemical mixtures at hazardous waste sites. Bioremediation processes that biostimulate fermenting microorganisms by injection of organics into groundwater aquifers to promote the dechlorination of TCE are likely to generate soluble arsenic species, leading to the production of new and more significant groundwater (GW) contaminants. Similarly, BTEX releases into aquifers result in the rapid depletion of oxygen and other electron acceptors, leading to arsenic mobilization. A key challenge in achieving effective bioremediation without mobilizing arsenic is understanding the multi-scale complexity of subsurface microbial communities that could facilitate useful transformations of arsenic, while also targeting the degradation of organic co-contaminants. We hypothesize that understanding the structure, function and syntrophic interactions of microbial communities involved in arsenic transformations can lead to optimized simultaneous bioremediation of the metalloid arsenic as well as chlorinated solvents and aromatic hydrocarbons. To test this hypothesis, we will enrich and construct cultures as well as co-contaminant transformations and apply meta-omics based approaches to characterize interactions within these communities. We will then evaluate the responses of these enrichments and consortia to perturbations and various co-contaminant exposures (aims 1-3). We will subsequently develop models to provide predictive input to new designs for effective bioremediation of these mixtures (aim 4). from contaminated GW and sediments that are capable of arsenic cycling The knowledge and models developed from this research will be valuable to provide guidance to practitioners of bioremediation to improve operation and practice in the common occurrence of co-located mixtures of arsenic, solvents and aromatics.
Arsenic, chlorinated solvents and aromatic hydrocarbons are frequently detected as mixtures in groundwater aquifers that represent a hazard to public health and the environment. This project will apply systems biology approaches to study interactions within microbial communities involved in the bioremediation of groundwater mixtures containing arsenic species in combination with other chemicals.
|Whitehead, Todd P; Adhatamsoontra, Praphopphat; Wang, Yang et al. (2017) Home remodeling and risk of childhood leukemia. Ann Epidemiol 27:140-144.e4|
|Nardone, Anthony; Ferreccio, Catterina; Acevedo, Johanna et al. (2017) The impact of BMI on non-malignant respiratory symptoms and lung function in arsenic exposed adults of Northern Chile. Environ Res 158:710-719|
|Burgos-Barragan, Guillermo; Wit, Niek; Meiser, Johannes et al. (2017) Mammals divert endogenous genotoxic formaldehyde into one-carbon metabolism. Nature 548:549-554|
|de la Rosa, Rosemarie; Steinmaus, Craig; Akers, Nicholas K et al. (2017) Associations between arsenic (+3 oxidation state) methyltransferase (AS3MT) and N-6 adenine-specific DNA methyltransferase 1 (N6AMT1) polymorphisms, arsenic metabolism, and cancer risk in a chilean population. Environ Mol Mutagen 58:411-422|
|Men, Yujie; Yu, Ke; Bælum, Jacob et al. (2017) Metagenomic and Metatranscriptomic Analyses Reveal the Structure and Dynamics of a Dechlorinating Community Containing Dehalococcoides mccartyi and Corrinoid-Providing Microorganisms under Cobalamin-Limited Conditions. Appl Environ Microbiol 83:|
|Mao, Xinwei; Polasko, Alexandra; Alvarez-Cohen, Lisa (2017) Effects of Sulfate Reduction on Trichloroethene Dechlorination by Dehalococcoides-Containing Microbial Communities. Appl Environ Microbiol 83:|
|Bessonneau, Vincent; Pawliszyn, Janusz; Rappaport, Stephen M (2017) The Saliva Exposome for Monitoring of Individuals' Health Trajectories. Environ Health Perspect 125:077014|
|Edmands, William M B; Petrick, Lauren; Barupal, Dinesh K et al. (2017) compMS2Miner: An Automatable Metabolite Identification, Visualization, and Data-Sharing R Package for High-Resolution LC-MS Data Sets. Anal Chem 89:3919-3928|
|Gunier, Robert B; Kang, Alice; Hammond, S Katharine et al. (2017) A task-based assessment of parental occupational exposure to pesticides and childhood acute lymphoblastic leukemia. Environ Res 156:57-62|
|Hall, Emily M; Acevedo, Johanna; López, Francisca González et al. (2017) Hypertension among adults exposed to drinking water arsenic in Northern Chile. Environ Res 153:99-105|
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