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Title: Final Report Coupling in silico microbial models with reactive transport models to predict the fate of contaminants in the subsurface.

Abstract

This project successfully accomplished its goal of coupling genome-scale metabolic models with hydrological and geochemical models to predict the activity of subsurface microorganisms during uranium bioremediation. Furthermore, it was demonstrated how this modeling approach can be used to develop new strategies to optimize bioremediation. The approach of coupling genome-scale metabolic models with reactive transport modeling is now well enough established that it has been adopted by other DOE investigators studying uranium bioremediation. Furthermore, the basic principles developed during our studies will be applicable to much broader investigations of microbial activities, not only for other types of bioremediation, but microbial metabolism in diversity of environments. This approach has the potential to make an important contribution to predicting the impact of environmental perturbations on the cycling of carbon and other biogeochemical cycles.

Authors:
Publication Date:
Research Org.:
University of Massachusetts, Amherst
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1053957
Report Number(s):
DOE/ER/64367-1
DOE Contract Number:  
FG02-07ER64367
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Lovley, Derek R. Final Report Coupling in silico microbial models with reactive transport models to predict the fate of contaminants in the subsurface.. United States: N. p., 2012. Web. doi:10.2172/1053957.
Lovley, Derek R. Final Report Coupling in silico microbial models with reactive transport models to predict the fate of contaminants in the subsurface.. United States. doi:10.2172/1053957.
Lovley, Derek R. Wed . "Final Report Coupling in silico microbial models with reactive transport models to predict the fate of contaminants in the subsurface.". United States. doi:10.2172/1053957. https://www.osti.gov/servlets/purl/1053957.
@article{osti_1053957,
title = {Final Report Coupling in silico microbial models with reactive transport models to predict the fate of contaminants in the subsurface.},
author = {Lovley, Derek R.},
abstractNote = {This project successfully accomplished its goal of coupling genome-scale metabolic models with hydrological and geochemical models to predict the activity of subsurface microorganisms during uranium bioremediation. Furthermore, it was demonstrated how this modeling approach can be used to develop new strategies to optimize bioremediation. The approach of coupling genome-scale metabolic models with reactive transport modeling is now well enough established that it has been adopted by other DOE investigators studying uranium bioremediation. Furthermore, the basic principles developed during our studies will be applicable to much broader investigations of microbial activities, not only for other types of bioremediation, but microbial metabolism in diversity of environments. This approach has the potential to make an important contribution to predicting the impact of environmental perturbations on the cycling of carbon and other biogeochemical cycles.},
doi = {10.2172/1053957},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {10}
}