Microbial community response to silver nanoparticles and Ag+ in nitrifying activated sludge revealed by ion semiconductor sequencing

Gwin, Carley A.; Lefèvre, Emilie; Alito, Christina L.; Gunsch, Claudia K.

doi:10.1016/j.scitotenv.2017.10.217

Cited by 35 publications

(19 citation statements)

References 44 publications

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“…Multiple linear regression models were used to evaluate the effects of V. cholerae loading, TOC concentrations, charge numbers and EPS concentrations on BSF performance as described in Gwin et al . ().…”

Section: Methodsmentioning

confidence: 97%

Evaluating the role of total organic carbon in predicting the treatment efficacy of biosand filters for the removal ofVibrio choleraein drinking water during startup

et al. 2018

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Section: Methodsmentioning

confidence: 97%

Evaluating the role of total organic carbon in predicting the treatment efficacy of biosand filters for the removal ofVibrio choleraein drinking water during startup

et al. 2018

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“…High-throughput sequencing technologies provide deep insights into the bacterial populations (Ibarbalz et al, 2013) and have been used to reveal the bacterial range of some complex environments, including activated sludge samples (Claesson et al, 2010;Zhang et al, 2011;Yang et al, 2014;Gwin et al, 2018). Some microorganisms have not been completely identified (Krishnan et al, 2016;Abe et al, 2017), showing that there is much more to discover about the biodiversity of activated sludge.…”

Section: Introductionmentioning

confidence: 99%

Analysis of microbial community biodiversity in activated sludge from a petrochemical plant

Antunes¹,

Marconatto²,

Borges³

et al. 2021

Rev. ambiente água

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Theactive sludge process is one of the most-used techniques for the biodegradation of organic compounds present in effluents from an assortment of wastewaters. This study investigated the bacterial community structure of a petroleum industry’s activated sludge and its physical and chemical parameters using high-throughput sequencing. Samples were collected over one year: autumn 2015 (C1), winter 2015 (C2), spring 2015 (C3), and summer 2016 (C4). Total DNA was extracted, and the primers targeting the V4 region of the 16S rRNA gene were used for amplicon sequencing. The majority of the detected microorganisms were considered rare microbiota, presenting a relative abundance below 1% of the total sequences. All of the sequences were classified at the phylum level, and up to 55% of the ASVs (Amplicon Sequence Variants) were associated with known bacterial genera. Proteobacteria was the most abundant phylum in three seasons, while the phylum Armatimonadota dominated in one season. The genus Hyphomicrobium was the most abundant in autumn, winter and summer, and an ASV belonging to the family Fimbriimonadaceae was the most abundant in the spring. Canonical Correspondence Analysis showed that physicochemical parameters of SS, SD and TSS are correlated, as well as ammoniacal nitrogen. Sample C3 presented the highest values of COD, AN and solids (SS, SD and TSS). The highest COD, AN, and solids values are correlated to the high frequency of the phylum Armatimonadota in C3.

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“…It has been debated over a decade whether AgNPs have the same bactericidal effects as Ag + (Stabryla et al, 2018). As AgNPs hardly penetrate bacterial cells due to the physical barrier of the peptidoglycan sacculus and the lack of endocytosis mechanisms enabling nanoparticle uptake by eukaryotes, several studies suggested that the release of Ag + from AgNPs fully accounts for the toxicity of AgNPs in bacteria (Hsueh et al, 2015) and microbial communities (Gwin et al, 2018). Using anoxic conditions to minimize the dissolution of Ag + from AgNPs, no direct effects of silver nanoparticles were observed in Escherichia coli (Xiu et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Experimental Evolution ofPseudomonas putidaunder Silver Ion versus Nanoparticle Stress

Dong

Quevedo

Wang

et al. 2020

Preprint

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SummaryWhether the antibacterial properties of silver nanoparticles (AgNPs) are simply due to the release of silver ions (Ag+) or, additionally, nanoparticle-specific effects, has been debated for over a decade. We used experimental evolution of the model environmental bacterium Pseudomonas putida to ask whether bacteria respond differently to Ag+ or AgNP treatment. We pre-evolved five cultures of strain KT2440 for 70 d without Ag to reduce confounding adaptations before dividing the fittest pre-evolved culture into five cultures each, evolving in the presence of low concentrations of Ag+, well-defined AgNPs or Ag-free controls for a further 75 d. The mutations in the Ag+ or AgNP evolved populations displayed different patterns that were statistically significant. The non-synonymous mutations in AgNP-treated populations were mostly associated with cell surface proteins, including cytoskeletal membrane protein (FtsZ), membrane sensor and regulator (EnvZ and GacS) and periplasmic protein (PP_2758). In contrast, Ag+ treatment selected for mutations linked to cytoplasmic proteins, including metal ion transporter (TauB) and those with metal binding domains (ThiL and PP_2397). These results suggest the existence of AgNP-specific effects, either caused by sustained delivery of Ag+ from AgNP-dissolution, more proximate delivery from cell-surface bound AgNPs, or by direct AgNP action on the cell’s outer membrane.Originality-Significance StatementThe increasing use of silver nanoparticles (AgNPs) and their release into the environment may affect environmental microorganisms and their communities and evolution. It has long been debated whether the toxicity of AgNPs towards microorganisms is solely due to their dissolution into toxic Ag+ or whether distinct nanoparticle related toxicity exists. We set up an evolution experiment to explore the adaptation of the environmental model bacterium Pseudomonas putida to Ag+ versus AgNP stress in order to elucidate the potentially different toxicity mechanisms of ionic and nanoparticulate Ag. We found novel mutations and distinct mutation patterns under Ag+ and AgNP treatment by whole genome sequencing. Our work highlights the association of the mutations selected by Ag+ stress with metal ion metabolism inside the cells and the mutations specific to AgNP stress with the cell’s surface. The finding that P. putida cells evolved in different directions under selection by Ag+ and AgNPs demonstrates a need for assessing the toxicity of nanomaterials separately in any environmental risk assessments.

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Microbial community response to silver nanoparticles and Ag+ in nitrifying activated sludge revealed by ion semiconductor sequencing

Cited by 35 publications

References 44 publications

Evaluating the role of total organic carbon in predicting the treatment efficacy of biosand filters for the removal ofVibrio choleraein drinking water during startup

Evaluating the role of total organic carbon in predicting the treatment efficacy of biosand filters for the removal ofVibrio choleraein drinking water during startup

Analysis of microbial community biodiversity in activated sludge from a petrochemical plant

Experimental Evolution ofPseudomonas putidaunder Silver Ion versus Nanoparticle Stress

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