Literature DB >> 35072734

Rapid Russula senecis identification assays using loop-mediated isothermal amplification based on real-time fluorescence and visualization.

Nan Wang1, Jie Gao1, Enjing Tian2, Wenjie Yu1, Hui Li1, Juan Zhang1, Ruibin Xie1, Ailiang Chen3.   

Abstract

Russula senecis, a common poisonous mushroom, is widely distributed in China. Mushroom poisoning is becoming a major threat to human health and its rate is increasing worldwide. For the first time, we developed a set of loop-mediated isothermal amplification (LAMP) assays based on a real-time fluorescence and a visualization method to detect R. senecis, and the visual LAMP reaction system was optimized to further shorten the reaction time. Both real-time LAMP and visual LAMP could detect as low as 3.2 pg of genomic DNA. In addition, fried and digested mushrooms were used to validate the proposed LAMP method, and mushroom mixtures with as low as 1% of the target species could be successfully detected, indicating that the LAMP assays established in this study had good applicability and could be used for clinical sample detection and forensic identification. Furthermore, the LAMP assays were proven to be comparable to the real-time PCR method. KEY POINTS: • A set of loop-mediated isothermal amplification (LAMP) assays based on real-time fluorescence and visualization to detect Russula senecis was developed. • Both real-time LAMP and visual LAMP can be used to detect genomic DNA at concentrations as low as 3.2 pg. • By simulating mushroom processing and digestion in gastric juice, LAMP assays were proved to have good applicability and could be used for clinical diagnosis and forensic analysis.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Loop-mediated isothermal amplification; Poisonous mushroom; Russula senecis; Species identification; Visualization

Mesh:

Year:  2022        PMID: 35072734     DOI: 10.1007/s00253-022-11774-9

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


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