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Reviews in Environmental Science and Bio/Technology

, Volume 14, Issue 3, pp 385–406 | Cite as

Meta-omics approaches to understand and improve wastewater treatment systems

  • Elisa RodríguezEmail author
  • Pedro A. García-Encina
  • Alfons J. M. Stams
  • Farai Maphosa
  • Diana Z. Sousa
Review paper

Abstract

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.

Keywords

Wastewater Bioreactor Metagenomics Metatranscriptomics Metaproteomics 

Notes

Acknowledgments

This research was supported by the Spanish Ministry of Education and Science (Contract Project CTQ2007-64324 and CONSOLIDER-CSD 2007-00055) and the Regional Government of Castilla y Leon (Ref. VA038A07). Research of AJMS is supported by the European Research Council (Grant 323009).

Supplementary material

11157_2015_9370_MOESM1_ESM.doc (182 kb)
Supplementary material 1 (DOC 182 kb)

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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Department of Chemical Engineering and Environmental TechnologyValladolid UniversityValladolidSpain
  2. 2.Socamex S.A.ValladolidSpain
  3. 3.Laboratory of MicrobiologyWageningen UniversityWageningenThe Netherlands
  4. 4.Centre of Biological EngineeringUniversity of MinhoBragaPortugal

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