Literature DB >> 23121986

Exploring the potential of applying proteomics for tracking bisphenol A and nonylphenol degradation in activated sludge.

Neus Collado1, Gianluigi Buttiglieri, Boris A Kolvenbach, Joaquim Comas, Philippe F-X Corvini, Ignasi Rodríguez-Roda.   

Abstract

A significant percentage of bisphenol A and nonylphenol removal in municipal wastewater treatment plants relies on biodegradation. Nonetheless, incomplete information is available concerning their degradation pathways performed by microbial communities in activated sludge systems. Hydroquinone dioxygenase (HQDO) is a specific degradation marker enzyme, involved in bisphenol A and nonylphenol biodegradation, and it can be produced by axenic cultures of the bacterium Sphingomonas sp. strain TTNP3. Proteomics, a technique based on the analysis of microbial community proteins, was applied to this strain. The bacterium proteome map was obtained and a HQDO subunit was successfully identified. Additionally, the reliability of the applied proteomics protocol was evaluated in activated sludge samples. Proteins belonging to Sphingomonas were searched at decreasing biomass ratios, i.e. serially diluting the bacterium in activated sludge. The protein patterns were compared and Sphingomonas proteins were discriminated against the ones from sludge itself on 2D-gels. The detection limit of the applied protocol was defined as 10(-3) g TTNP3 g(-1) total suspended solids (TSSs). The results proved that proteomics can be a promising methodology to assess the presence of specific enzymes in activated sludge samples, however improvements of its sensitivity are still needed.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23121986     DOI: 10.1016/j.chemosphere.2012.10.002

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  3 in total

1.  A decade of metaproteomics: where we stand and what the future holds.

Authors:  Paul Wilmes; Anna Heintz-Buschart; Philip L Bond
Journal:  Proteomics       Date:  2015-09-10       Impact factor: 3.984

2.  iTRAQ-based quantitative proteomic analysis of the global response to 17β-estradiol in estrogen-degradation strain Pseudomonas putida SJTE-1.

Authors:  Jing Xu; Lei Zhang; Jingli Hou; Xiuli Wang; Huan Liu; Daning Zheng; Rubing Liang
Journal:  Sci Rep       Date:  2017-02-03       Impact factor: 4.379

3.  Micropollutant degradation via extracted native enzymes from activated sludge.

Authors:  Daniel Krah; Ann-Kathrin Ghattas; Arne Wick; Kathrin Bröder; Thomas A Ternes
Journal:  Water Res       Date:  2016-03-15       Impact factor: 11.236

  3 in total

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