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Non-selective Separation of Bacterial Cells with Magnetic Nanoparticles Facilitated by Varying Surface Charge

Recovering microorganisms from environmental samples is a crucial primary step for understanding microbial communities using molecular ecological approaches. It is often challenging to harvest microorganisms both efficiently and unselectively, guaranteeing a similar microbial composition between ori...

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Autores principales: Gao, Xin-Lei, Shao, Ming-Fei, Xu, Yi-Sheng, Luo, Yi, Zhang, Kai, Ouyang, Feng, Li, Ji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130997/
https://www.ncbi.nlm.nih.gov/pubmed/27990136
http://dx.doi.org/10.3389/fmicb.2016.01891
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author Gao, Xin-Lei
Shao, Ming-Fei
Xu, Yi-Sheng
Luo, Yi
Zhang, Kai
Ouyang, Feng
Li, Ji
author_facet Gao, Xin-Lei
Shao, Ming-Fei
Xu, Yi-Sheng
Luo, Yi
Zhang, Kai
Ouyang, Feng
Li, Ji
author_sort Gao, Xin-Lei
collection PubMed
description Recovering microorganisms from environmental samples is a crucial primary step for understanding microbial communities using molecular ecological approaches. It is often challenging to harvest microorganisms both efficiently and unselectively, guaranteeing a similar microbial composition between original and separated biomasses. A magnetic nanoparticles (MNPs) based method was developed to effectively separate microbial biomass from glass fiber pulp entrapped bacteria. Buffering pH and nanoparticle silica encapsulation significantly affected both biomass recovery and microbial selectivity. Under optimized conditions (using citric acid coated Fe(3)O(4), buffering pH = 2.2), the method was applied in the pretreatment of total suspended particle sampler collected bioaerosols, the effective volume for DNA extraction was increased 10-folds, and the overall method detection limit of microbial contaminants in bioaerosols significantly decreased. A consistent recovery of the majority of airborne bacterial populations was demonstrated by in-depth comparison of microbial composition using 16S rRNA gene high-throughput sequencing. Surface charge was shown as the deciding factor for the interaction between MNPs and microorganisms, which helps developing materials with high microbial selectivity. To our knowledge, this study is the first report using MNPs to separate diverse microbial community unselectively from a complex environmental matrix. The technique is convenient and sensitive, as well as feasible to apply in monitoring of microbial transport and other related fields.
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spelling pubmed-51309972016-12-16 Non-selective Separation of Bacterial Cells with Magnetic Nanoparticles Facilitated by Varying Surface Charge Gao, Xin-Lei Shao, Ming-Fei Xu, Yi-Sheng Luo, Yi Zhang, Kai Ouyang, Feng Li, Ji Front Microbiol Microbiology Recovering microorganisms from environmental samples is a crucial primary step for understanding microbial communities using molecular ecological approaches. It is often challenging to harvest microorganisms both efficiently and unselectively, guaranteeing a similar microbial composition between original and separated biomasses. A magnetic nanoparticles (MNPs) based method was developed to effectively separate microbial biomass from glass fiber pulp entrapped bacteria. Buffering pH and nanoparticle silica encapsulation significantly affected both biomass recovery and microbial selectivity. Under optimized conditions (using citric acid coated Fe(3)O(4), buffering pH = 2.2), the method was applied in the pretreatment of total suspended particle sampler collected bioaerosols, the effective volume for DNA extraction was increased 10-folds, and the overall method detection limit of microbial contaminants in bioaerosols significantly decreased. A consistent recovery of the majority of airborne bacterial populations was demonstrated by in-depth comparison of microbial composition using 16S rRNA gene high-throughput sequencing. Surface charge was shown as the deciding factor for the interaction between MNPs and microorganisms, which helps developing materials with high microbial selectivity. To our knowledge, this study is the first report using MNPs to separate diverse microbial community unselectively from a complex environmental matrix. The technique is convenient and sensitive, as well as feasible to apply in monitoring of microbial transport and other related fields. Frontiers Media S.A. 2016-12-01 /pmc/articles/PMC5130997/ /pubmed/27990136 http://dx.doi.org/10.3389/fmicb.2016.01891 Text en Copyright © 2016 Gao, Shao, Xu, Luo, Zhang, Ouyang and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Gao, Xin-Lei
Shao, Ming-Fei
Xu, Yi-Sheng
Luo, Yi
Zhang, Kai
Ouyang, Feng
Li, Ji
Non-selective Separation of Bacterial Cells with Magnetic Nanoparticles Facilitated by Varying Surface Charge
title Non-selective Separation of Bacterial Cells with Magnetic Nanoparticles Facilitated by Varying Surface Charge
title_full Non-selective Separation of Bacterial Cells with Magnetic Nanoparticles Facilitated by Varying Surface Charge
title_fullStr Non-selective Separation of Bacterial Cells with Magnetic Nanoparticles Facilitated by Varying Surface Charge
title_full_unstemmed Non-selective Separation of Bacterial Cells with Magnetic Nanoparticles Facilitated by Varying Surface Charge
title_short Non-selective Separation of Bacterial Cells with Magnetic Nanoparticles Facilitated by Varying Surface Charge
title_sort non-selective separation of bacterial cells with magnetic nanoparticles facilitated by varying surface charge
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130997/
https://www.ncbi.nlm.nih.gov/pubmed/27990136
http://dx.doi.org/10.3389/fmicb.2016.01891
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