A new method for quantitative detection of Lactobacillus casei based on casx gene and its application

Abstract Background The traditional method of bacterial identification based on 16S rRNA is a widely used and very effective detection method, but this method still has some deficiencies, especially in the identification of closely related strains. A high homology with little differences is mostly o...

Full description

Bibliographic Details
Main Authors: Xiaoyang Pang, Ziyang Jia, Jing Lu, Shuwen Zhang, Cai Zhang, Min Zhang, Jiaping Lv
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Biotechnology
Subjects:
Cas
Online Access:https://doi.org/10.1186/s12896-019-0587-6
Description
Summary:Abstract Background The traditional method of bacterial identification based on 16S rRNA is a widely used and very effective detection method, but this method still has some deficiencies, especially in the identification of closely related strains. A high homology with little differences is mostly observed in the 16S sequence of closely related bacteria, which results in difficulty to distinguish them by 16S rRNA-based detection method. In order to develop a rapid and accurate method of bacterial identification, we studied the possibility of identifying bacteria with other characteristic fragments without the use of 16S rRNA as detection targets. Results We analyzed the potential of using cas (CRISPR-associated proteins) gene as a target for bacteria detection. We found that certain fragment located in the casx gene was species-specific and could be used as a specific target gene. Based on these fragments, we established a TaqMan MGB Real-time PCR method for detecting bacteria. We found that the method used in this study had the advantages of high sensitivity and good specificity. Conclusions The casx gene-based method of bacterial identification could be used as a supplement to the conventional 16 s rRNA-based detection method. This method has an advantage over the 16 s rRNA-based detection method in distinguishing the genetic relationship between closely-related bacteria, such as subgroup bacteria, and can be used as a supplement to the 16 s rRNA-based detection method.
ISSN:1472-6750