Literature DB >> 29425859

Multiplex polymerase chain reaction assays for the detection of the zearalenone chemotype of Fusarium species in white and brown rice.

Jae Ho Sim1, Fei Tian1, Soo Yeon Jung1, Joong-Hyuck Auh1, Hyang Sook Chun2.   

Abstract

Early detection of the zearalenone (ZEA) chemotype of Fusarium species could be a precautionary measure for preventing ZEA contamination in rice. In this study, a multiplex polymerase chain reaction (mPCR) assay for detecting ZEA-producing fungi in rice was established using a set of four primers targeting the ZEA biosynthesis genes PKS3, PKS13, ZEB1, and ZEB2. Two mPCR approaches were used: one that amplified the DNA obtained from Fusarium isolates (conventional method) and another that directly amplified the target DNA from rice samples without time-consuming DNA isolation (direct method). The two mPCR methods showed high sensitivity in detecting ZEA-producing species, with a detection limit of 1.25 pg/μL of genomic DNA and 102 and 103 spores/g of white and brown rice, respectively. Both methods were specific for ZEA-producing species and gave four band patterns. The application of the two mPCR methods to 51 Fusarium isolates and 41 rice samples revealed that 31% (16 of 51) and 24% (10 of 41) of the samples were contaminated with ZEA-producing species, respectively. The mPCR results were further evaluated using high-performance liquid chromatography; in general, the two methods yielded similar results. These findings indicate that both mPCR methods are suitable for the detection of ZEA-producing Fusarium species in white and brown rice; however, the direct method yielded more rapid results.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Conventional and direct methods; Fusarium species; Multiplex PCR; Rice; Zearalenone chemotype

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Year:  2018        PMID: 29425859     DOI: 10.1016/j.ijfoodmicro.2018.02.003

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  3 in total

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Journal:  Mikrochim Acta       Date:  2019-08-08       Impact factor: 5.833

2.  An Efficient Strategy Combining Immunoassays and Molecular Identification for the Investigation of Fusarium Infections in Ear Rot of Maize in Guizhou Province, China.

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Journal:  Front Microbiol       Date:  2022-03-14       Impact factor: 5.640

3.  Sensor Based on Molecularly Imprinted Polymer Membranes and Smartphone for Detection of Fusarium Contamination in Cereals.

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Journal:  Sensors (Basel)       Date:  2020-08-01       Impact factor: 3.576

  3 in total

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