Literature DB >> 32535319

A 'turn-on' ultra-sensitive multiplex real-time fluorescent quantitative biosensor mediated by a universal primer and probe for the detection of genetically modified organisms.

Bing Xiao1, Chenqi Niu2, Ying Shang3, Yuancong Xu1, Kunlun Huang4, Xiujie Zhang5, Wentao Xu6.   

Abstract

Among the existing multiplex genetically modified organism (GMO) detection methods, significant problems are highlighted, including amplification asymmetry of different targets, and the low detection throughput, which limits their capacity to meet the requirements of high-throughput analysis. To mitigate these challenges, a 'turn-on' ultra-sensitive multiplex real-time fluorescent quantitative biosensor is developed. In this system, the multiplex ligation-dependent amplification (MLPA), universal primer and universal probe are innovatively combined, which can enhanced the amplification specificity, overcome asymmetric amplification and guarantee the homogeneity of amplification efficiency simultaneously. Furthermore, both single and multiplex detection results can be output by the fluorescent group labeled on universal TaqMan probes for different targets in real-time. After optimization, the quantitative detection limit was 5 pg. In conclusion, this strategy could serve as an important tool for GMO detection in processed and commercially available products, even in the fields that require reliable and sensitive detection of DNA targets.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  Fluorescent quantitative biosensor; Genetically modified organism; Multiplex; Universal primer; Universal probe

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Year:  2020        PMID: 32535319     DOI: 10.1016/j.foodchem.2020.127247

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  1 in total

1.  Construction of transgenic detection system of Brassica napus L. based on single nucleotide polymorphism chip.

Authors:  Enqiang Zhou; Nuan Song; Qing Xiao; Zunaira Farooq; Zhibo Jia; Jing Wen; Cheng Dai; Chaozhi Ma; Jinxing Tu; Jinxiong Shen; Tingdong Fu; Bin Yi
Journal:  3 Biotech       Date:  2021-12-08       Impact factor: 2.406

  1 in total

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