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Molecular Techniques to Study Microbial Wastewater Communities

Authors :
Salomé Urrea-Valencia
André Luís de Almeida Melo
Daniel Ruiz Potma Gonçalves
Carolina Weigert Galvão
Rafael Mazer Etto
Source :
Brazilian Archives of Biology and Technology, Vol 64 (2021)
Publication Year :
2021
Publisher :
Instituto de Tecnologia do Paraná (Tecpar), 2021.

Abstract

Abstract wastewater treatment (WT) is of major importance on modern cities, removing wastewater pollutants resultant from anthropogenic activities. The unique abilities of microbes to degrade organic matter, remove nutrients and transform toxic compounds into harmless products make them essential players in waste treatment. The microbial diversity determines the metabolic pathways that may occur in WT and quality of treated wastewater. Therefore, understanding WT microbial community structure, distribution, and metabolic functioning is essential for development and optimization of efficient microbial engineering systems. Since cultivation methods can only detect a small fraction of the microbial diversity, the use of culture-independent molecular methods has circumvented this issue, allowing unprecedented access to genes and genomes used for microbial composition and function evaluation. Traditional approaches like RAPD, DGGE, ARDRA, RISA, SSCP, T-RFLP, and FISH and modern approaches like microarray, qPCR, and metagenomics are essential techniques for identifying and depicting the total microbial community structure and their interaction with environmental and biotic factors. Thus, this review describes traditional and state of the art molecular techniques which provide insights into phylogenetic and functional activities of microbial assemblages in a WT system.

Details

Language :
English
ISSN :
16784324
Volume :
64
Database :
Directory of Open Access Journals
Journal :
Brazilian Archives of Biology and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.5d689a7bb8384a0983339459acd9a4fc
Document Type :
article
Full Text :
https://doi.org/10.1590/1678-4324-2021200193