Microbial remediation of nitroaromatic compounds (NACs) is a promising environmentally friendly and cost-effective approach to the removal of these life-threating agents. () has shown remarkable capability for the biotransformation of 2,4,6-trinitro-toluene (TNT). Efforts to develop as an efficient TNT degrading biocatalyst will benefit from holistic flux-level description of interactions between multiple TNT transforming pathways operating in the strain. To gain such an insight, we extended the genome-scale constraint-based model of to account for a curated version of major TNT transformation pathways known or evidently hypothesized to be active in in present of TNT. Using constraint-based analysis (CBA) methods, we then performed several series of in silico experiments to elucidate the contribution of these pathways individually or in combination to the TNT transformation capacity. Results of our analyses were validated by replicating several experimentally observed TNT degradation phenotypes in cultures. We further used the extended model to explore the influence of process parameters, including aeration regime, TNT concentration, cell density, and carbon source on TNT degradation efficiency. We also conducted an in silico metabolic engineering study to design a series of mutants capable of degrading TNT at higher yield compared with the wild-type strain. Our study, therefore, extends the application of CBA to bioremediation of nitroaromatics and demonstrates the usefulness of this approach to inform bioremediation research.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6152126 | PMC |
http://dx.doi.org/10.3390/molecules22081242 | DOI Listing |
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