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TitleMeta-omics approaches to understand and improve wastewater treatment systems
Author(s)Rodríguez, Elisa
García-Encina, Pedro A.
Stams, Alfons Johannes Maria
Maphosa, Farai
Sousa, D. Z.
Issue dateSep-2015
JournalReviews in Environmental Science and Biotechnology
CitationRodríguez, Elisa; García-Encina, Pedro A.; Stams, A. J. M.; Maphosa, Farai; Sousa, D. Z., Meta-omics approaches to understand and improve wastewater treatment systems. Reviews in Environmental Science and Bio/Technology, 14(3), 385-406, 2015
Abstract(s)Biological treatment of wastewaters depends on microbial processes, usually carried out by mixed microbial communities. Environmental and operational factors can affect microorganisms and/or impact microbial community function, and this has repercussion in bioreactor performance. Novel high-throughput molecular methods (metagenomics, metatranscriptomics, metaproteomics, metabolomics) are providing detailed knowledge on the microorganisms governing wastewater treatment systems and on their metabolic capabilities. The genomes of uncultured microbes with key roles in wastewater treatment plants (WWTP), such as the polyphosphate-accumulating microorganism Candidatus Accumulibacter phosphatis, the nitrite oxidizer Candidatus Nitrospira defluvii or the anammox bacterium Candidatus Kuenenia stuttgartiensis are now available through metagenomic studies. Metagenomics allows to genetically characterize full-scale WWTP and provides information on the lifestyles and physiology of key microorganisms for wastewater treatment. Integrating metagenomic data of microorganisms with metatranscriptomic, metaproteomic and metabolomic information provides a better understanding of the microbial responses to perturbations or environmental variations. Data integration may allow the creation of predictive behavior models of wastewater ecosystems, which could help in an improved exploitation of microbial processes. This review discusses the impact of meta-omic approaches on the understanding of wastewater treatment processes, and the implications of these methods for the optimization and design of wastewater treatment bioreactors.
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AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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