Meta-omics approaches to understand and improve wastewater treatment systems

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• 作者：Elisa Rodríguez ; Pedro A. García-Encina…
• 关键词：Wastewater ; Bioreactor ; Metagenomics ; Metatranscriptomics ; Metaproteomics
• 刊名：Reviews in Environmental Science and Biotechnology
• 出版年：2015
• 出版时间：September 2015
• 年：2015
• 卷：14
• 期：3
• 页码：385-406
• 全文大小：1,973 KB
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• 作者单位：Elisa Rodríguez (1) (2)
  Pedro A. García-Encina (1)
  Alfons J. M. Stams (3) (4)
  Farai Maphosa (3)
  Diana Z. Sousa (3)
  
  1. Department of Chemical Engineering and Environmental Technology, Valladolid University, C/Dr. Mergelina s/n, 47011, Valladolid, Spain
  2. Socamex S.A., C/Cobalto 12, 47012, Valladolid, Spain
  3. Laboratory of Microbiology, Wageningen University, Dreijenplein 10, 6703 HB, Wageningen, The Netherlands
  4. Centre of Biological Engineering, University of Minho, 4710-057, Braga, Portugal
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Environmental Biotechnology
  Microbiology
  Atmospheric Protection, Air Quality Control and Air Pollution
  
• 出版者：Springer Netherlands
• ISSN：1572-9826

文摘

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 -em class="EmphasisTypeItalic">Candidatus Accumulibacter phosphatis- the nitrite oxidizer -em class="EmphasisTypeItalic">Candidatus Nitrospira defluvii-or the anammox bacterium -em class="EmphasisTypeItalic">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.