Literature DB >> 20377957

A quantitative real-time PCR method for monitoring Clostridium botulinum type A in rice samples.

Hajime Takahashi1, Chikako Takakura, Bon Kimura.   

Abstract

A quantitative real-time PCR using SYBR Green dye was developed to target the neurotoxin type A (boNT/A) gene of Clostridium botulinum type A. Primer specificity was confirmed by analyzing 63 strains including 5 strains of C. botulinum type A and 11 of non-type A C. botulinum. The highly similar amplification efficiencies of the real-time PCR assay were observed for 5 strains of C. botulinum type A. The DNA extraction with NucliSENS miniMAG provided sufficient performance to obtain the purified DNA from steamed rice samples and to develop the standard curve for the enumeration of C. botulinum in steamed rice samples. The real-time PCR assay could detect 10 cells per milliliter of 10 x rice homogenate, thus indicating that more than 100 C. botulinum cells per g of rice sample was quantifiable by the real-time PCR assay. The inoculation of aseptic rice samples with low numbers of C. botulinum type A cells revealed that the fate of inoculated C. botulinum type A cells in rice samples could be monitored accurately by the real-time PCR assay. These results indicate that the real-time PCR assay developed in this study provides rapid, effective, and quantitative monitoring of C. botulinum in steamed rice samples.

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Year:  2010        PMID: 20377957     DOI: 10.4315/0362-028x-73.4.688

Source DB:  PubMed          Journal:  J Food Prot        ISSN: 0362-028X            Impact factor:   2.077


  2 in total

1.  Evaluation and Optimization of Microdrop Digital PCR for Detection of Serotype A and B Clostridium botulinum.

Authors:  Pengya Gao; Changde Wu; Jin Zhang; Shuping Wang; Ying Huang; Yinping Dong; Tingting Liu; Changyun Ye; Xuefang Xu; Wenwen Xin
Journal:  Front Microbiol       Date:  2022-05-09       Impact factor: 6.064

2.  The choice of reference gene set for assessing gene expression in barley (Hordeum vulgare L.) under low temperature and drought stress.

Authors:  Anna Janská; Jan Hodek; Pavel Svoboda; Jiří Zámečník; Ilja Tom Prášil; Eva Vlasáková; Luigi Milella; Jaroslava Ovesná
Journal:  Mol Genet Genomics       Date:  2013-08-27       Impact factor: 3.291

  2 in total

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