Issue 19, 2017

Selection, identification and application of DNA aptamers for the detection of Bifidobacterium breve

Abstract

In the present study, a single-stranded DNA (ssDNA) aptamer binding to Bifidobacterium breve with high avidity and selectivity was selected through a whole-bacterium-based systemic evolution of ligands using an exponential enrichment (SELEX) process. Following 12 rounds of selection specific for B. breve, three FAM-labeled aptamers were chosen for flow cytometry analysis and the results revealed that all three aptamers possessed a high binding affinity for B. breve. To obtain the optimal sequence, sequence truncation experiments of these three aptamers were conducted. An aptamer variant BB16-11f with high affinity and selectivity was acquired. In addition, the dissociation constant was significantly reduced to 18.66 ± 1.41 nM. Furthermore, an enzyme linked aptamer assay was developed to prove the potential application of the aptamer BB16-11f in the detection of B. breve. The results showed that the colorimetric assay had a linear relationship between the absorbance at 450 nm and the concentrations of B. breve ranging from 103 cfu mL−1 to 107 cfu mL−1 with a correlation coefficient of 0.98. The limit of detection (LOD) of the assay was 1000 cfu mL−1. Additionally, the developed method was also successfully used to detect B. breve in a milk environment. Taken together, we hold that the developed colorimetric bioassay based on the aptamer BB16-11f is a promising method for the detection of B. breve.

Graphical abstract: Selection, identification and application of DNA aptamers for the detection of Bifidobacterium breve

Supplementary files

Article information

Article type
Paper
Submitted
02 Dec 2016
Accepted
09 Feb 2017
First published
16 Feb 2017
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2017,7, 11672-11679

Selection, identification and application of DNA aptamers for the detection of Bifidobacterium breve

L. Hu, L. Wang, W. Lu, Q. Zhai, D. Fan, X. Liu, J. Zhao, H. Zhang and W. Chen, RSC Adv., 2017, 7, 11672 DOI: 10.1039/C6RA27672E

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