Literature DB >> 22342400

Systems biology approach to bioremediation.

Romy Chakraborty1, Cindy H Wu, Terry C Hazen.   

Abstract

Bioremediation has historically been approached as a 'black box' in terms of our fundamental understanding. Thus it succeeds and fails, seldom without a complete understanding of why. Systems biology is an integrated research approach to study complex biological systems, by investigating interactions and networks at the molecular, cellular, community, and ecosystem level. The knowledge of these interactions within individual components is fundamental to understanding the dynamics of the ecosystem under investigation. Understanding and modeling functional microbial community structure and stress responses in environments at all levels have tremendous implications for our fundamental understanding of hydrobiogeochemical processes and the potential for making bioremediation breakthroughs and illuminating the 'black box'.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22342400     DOI: 10.1016/j.copbio.2012.01.015

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  17 in total

1.  Influence of Wastewater Discharge on the Metabolic Potential of the Microbial Community in River Sediments.

Authors:  Dong Li; Jonathan O Sharp; Jörg E Drewes
Journal:  Microb Ecol       Date:  2015-09-24       Impact factor: 4.552

Review 2.  Metagenomic applications in environmental monitoring and bioremediation.

Authors:  Stephen M Techtmann; Terry C Hazen
Journal:  J Ind Microbiol Biotechnol       Date:  2016-08-24       Impact factor: 3.346

3.  Draft Genome Sequence of the Organophosphorus-Degrading Bacterium Pseudomonas sp. Strain 1-7, Isolated from Organophosphorus-Polluted Sludge.

Authors:  Jian Tian; Li Xu; Shuangyu Zhang; Wen Sun; Xiaoyu Chu; Ningfeng Wu
Journal:  Genome Announc       Date:  2014-10-02

4.  Unintended Laboratory-Driven Evolution Reveals Genetic Requirements for Biofilm Formation by Desulfovibrio vulgaris Hildenborough.

Authors:  Kara B De León; Grant M Zane; Valentine V Trotter; Gregory P Krantz; Adam P Arkin; Gareth P Butland; Peter J Walian; Matthew W Fields; Judy D Wall
Journal:  MBio       Date:  2017-10-17       Impact factor: 7.867

5.  Microbial Response to the MC-252 Oil and Corexit 9500 in the Gulf of Mexico.

Authors:  Romy Chakraborty; Sharon E Borglin; Eric A Dubinsky; Gary L Andersen; Terry C Hazen
Journal:  Front Microbiol       Date:  2012-10-11       Impact factor: 5.640

6.  Microbial metabolic networks in a complex electrogenic biofilm recovered from a stimulus-induced metatranscriptomics approach.

Authors:  Shun'ichi Ishii; Shino Suzuki; Aaron Tenney; Trina M Norden-Krichmar; Kenneth H Nealson; Orianna Bretschger
Journal:  Sci Rep       Date:  2015-10-07       Impact factor: 4.379

7.  Culturing oil sands microbes as mixed species communities enhances ex situ model naphthenic acid degradation.

Authors:  Marc A Demeter; Joseph A Lemire; Gordon Yue; Howard Ceri; Raymond J Turner
Journal:  Front Microbiol       Date:  2015-09-04       Impact factor: 5.640

8.  Determining the metabolic footprints of hydrocarbon degradation using multivariate analysis.

Authors:  Renee J Smith; Thomas C Jeffries; Eric M Adetutu; Peter G Fairweather; James G Mitchell
Journal:  PLoS One       Date:  2013-11-25       Impact factor: 3.240

9.  Further characterization of o-nitrobenzaldehyde degrading bacterium Pseudomonas sp. ONBA-17 and deduction on its metabolic pathway.

Authors:  Fang-Bo Yu; Xiao-Dan Li; Shinawar Waseem Ali; Sheng-Dao Shan; Lin-Ping Luo; Li-Bo Guan
Journal:  Braz J Microbiol       Date:  2015-03-04       Impact factor: 2.476

10.  Assigning ecological roles to the populations belonging to a phenanthrene-degrading bacterial consortium using omic approaches.

Authors:  Sabrina Festa; Bibiana Marina Coppotelli; Laura Madueño; Claudia Lorena Loviso; Marianela Macchi; Ricardo Martin Neme Tauil; María Pía Valacco; Irma Susana Morelli
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

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