4.7 Article

Identification of novel molecular targets for Weissella species-specific real-time PCR based on pangenome analysis

期刊

APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
卷 106, 期 11, 页码 4157-4168

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SPRINGER
DOI: 10.1007/s00253-022-12003-z

关键词

Weissella; Unique gene; Real-time PCR; Identification; Pangenome; Fermented food

资金

  1. Cooperative Research Program for Agriculture Science & Technology Development Rural Development Administration, Republic of Korea [PJ01662001]

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This study extracted novel molecular targets for the identification of major Weissella species in food samples using pangenome analysis. The method showed positive results for the target species and negative results for non-target bacteria, and was successfully applied to identify and quantify Weissella communities in fermented foods.
Some Weissella species are used in probiotic products because of their beneficial effects in humans, whereas some species are considered as opportunistic pathogens that cause infections in humans. Therefore, an accurate and rapid identification of Weissella species is essential to control pathogenic Weissella species or isolate new functional strains with probiotic effects from their habitat. The objective of our study was to extract novel molecular targets using pangenome analysis for the identification of major Weissella species present in food. With 50 genomes representing 11 Weissella species, novel molecular targets were mined based on their 100% presence in the respective strains of the target species and absence in the strains of non-target bacteria. Primers based on molecular targets showed positive results for the corresponding species, whereas 79 non-target strains showed negative results. Standard curves revealed good linearity in the range of 10(3)-10(8) colony-forming units per reaction. Our method was successfully applied to 74 Weissella strains isolated from food samples to demonstrate that the molecular targets provided a viable alternative to the 16S rRNA sequence. Furthermore, it was possible to identify and quantify Weissella communities in fermented foods. These results demonstrate that our method can be used for effective and accurate screening for the presence of Weissella species in foods.

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