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      Bioremediation through microbes: systems biology and metabolic engineering approach

      1 , 1 , 2 , 1
      Critical Reviews in Biotechnology
      Informa UK Limited

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          Abstract

          Today, environmental pollution is a serious problem, and bioremediation can play an important role in cleaning contaminated sites. Remediation strategies, such as chemical and physical approaches, are not enough to mitigate pollution problems because of the continuous generation of novel recalcitrant pollutants due to anthropogenic activities. Bioremediation using microbes is an eco-friendly and socially acceptable alternative to conventional remediation approaches. Many microbes with a bioremediation potential have been isolated and characterized but, in many cases, cannot completely degrade the targeted pollutant or are ineffective in situations with mixed wastes. This review envisages advances in systems biology (SB), which enables the analysis of microbial behavior at a community level under different environmental stresses. By applying a SB approach, crucial preliminary information can be obtained for metabolic engineering (ME) of microbes for their enhanced bioremediation capabilities. This review also highlights the integrated SB and ME tools and techniques for bioremediation purposes.

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          Most cited references156

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            Gene: a gene-centered information resource at NCBI

            The National Center for Biotechnology Information's (NCBI) Gene database (www.ncbi.nlm.nih.gov/gene) integrates gene-specific information from multiple data sources. NCBI Reference Sequence (RefSeq) genomes for viruses, prokaryotes and eukaryotes are the primary foundation for Gene records in that they form the critical association between sequence and a tracked gene upon which additional functional and descriptive content is anchored. Additional content is integrated based on the genomic location and RefSeq transcript and protein sequence data. The content of a Gene record represents the integration of curation and automated processing from RefSeq, collaborating model organism databases, consortia such as Gene Ontology, and other databases within NCBI. Records in Gene are assigned unique, tracked integers as identifiers. The content (citations, nomenclature, genomic location, gene products and their attributes, phenotypes, sequences, interactions, variation details, maps, expression, homologs, protein domains and external databases) is available via interactive browsing through NCBI's Entrez system, via NCBI's Entrez programming utilities (E-Utilities and Entrez Direct) and for bulk transfer by FTP.
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                Author and article information

                Journal
                Critical Reviews in Biotechnology
                Critical Reviews in Biotechnology
                Informa UK Limited
                0738-8551
                1549-7801
                September 09 2018
                January 02 2019
                September 09 2018
                January 02 2019
                : 39
                : 1
                : 79-98
                Affiliations
                [1 ] Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, India;
                [2 ] Institute of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Baltimore, MD, USA
                Article
                10.1080/07388551.2018.1500997
                30198342
                0ad7f055-0d84-4b1e-b9cd-8f0a8da9859d
                © 2019
                History

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