Document Detail

Bioremediation in marine ecosystems: a computational study combining ecological modeling and flux balance analysis.
MedLine Citation:
PMID:  25309577     Owner:  NLM     Status:  PubMed-not-MEDLINE    
The pressure to search effective bioremediation methodologies for contaminated ecosystems has led to the large-scale identification of microbial species and metabolic degradation pathways. However, minor attention has been paid to the study of bioremediation in marine food webs and to the definition of integrated strategies for reducing bioaccumulation in species. We propose a novel computational framework for analysing the multiscale effects of bioremediation at the ecosystem level, based on coupling food web bioaccumulation models and metabolic models of degrading bacteria. The combination of techniques from synthetic biology and ecological network analysis allows the specification of arbitrary scenarios of contaminant removal and the evaluation of strategies based on natural or synthetic microbial strains. In this study, we derive a bioaccumulation model of polychlorinated biphenyls (PCBs) in the Adriatic food web, and we extend a metabolic reconstruction of Pseudomonas putida KT2440 (iJN746) with the aerobic pathway of PCBs degradation. We assess the effectiveness of different bioremediation scenarios in reducing PCBs concentration in species and we study indices of species centrality to measure their importance in the contaminant diffusion via feeding links. The analysis of the Adriatic sea case study suggests that our framework could represent a practical tool in the design of effective remediation strategies, providing at the same time insights into the ecological role of microbial communities within food webs.
Marianna Taffi; Nicola Paoletti; Claudio Angione; Sandra Pucciarelli; Mauro Marini; Pietro Liò
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Publication Detail:
Type:  Journal Article     Date:  2014-09-12
Journal Detail:
Title:  Frontiers in genetics     Volume:  5     ISSN:  1664-8021     ISO Abbreviation:  Front Genet     Publication Date:  2014  
Date Detail:
Created Date:  2014-10-13     Completed Date:  2014-10-13     Revised Date:  2014-10-15    
Medline Journal Info:
Nlm Unique ID:  101560621     Medline TA:  Front Genet     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  319     Citation Subset:  -    
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