Multiplexed Detection of Foodborne Pathogens and the Antibiotic Resistance Genes Based on the CRISPR/Cas System with Engineered LwaCas13a

单核细胞增生李斯特菌 抗生素耐药性 食品安全 多路复用 多重聚合酶链反应 大肠杆菌 计算生物学 微生物学 化学 重组酶聚合酶扩增 金黄色葡萄球菌 抗菌剂 基因 肠沙门氏菌 抗药性 聚合酶链反应 抗生素 生物 生物技术 多路复用 食品微生物学 抗菌肽 李斯特菌 细菌 细菌遗传学 检出限
作者
Xinlu Li,Yichun Li,Shanshan Sun,Jianing Cao,Lin Li,Di Wu,Yongning Wu,Feifei Sun
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:98 (38): 28519-28529
标识
DOI:10.1021/acs.analchem.6c04448
摘要

Foodborne pathogens represent a persistent threat to global public health, necessitating the development of point-of-care testing (POCT) platforms that integrate rapidity, ultrahigh sensitivity, cost effectiveness, and operational simplicity. Herein, we developed a system for high-specificity identification of foodborne pathogens and associated antibiotic resistance genes, which is a dual-modal diagnostic platform integrating recombinase polymerase amplification (RPA) with an engineered LwaCas13a variant. By leveraging the CRISPR/Cas13a system, the platform establishes a multiplex fluorescence array that simultaneously detects four major foodborne pathogens (Salmonella enterica serovar typhimurium, Listeria monocytogenes, Escherichia coli, and Staphylococcus aureus) and their corresponding critical antibiotic resistance genes (ARGs), including mecA, blaCTX-M, mcr-1, ermB, and tet(M). Notably, the system retained robust trans-cleavage activity in complex biological matrices, achieving a remarkable limit of detection (LOD) at 100 copies/mL. Furthermore, the CRISPR/Cas13a system is coupled to an instrument-free lateral flow assay (LFA) for the detection of L. monocytogenes and tet(M), which effectively circumvents matrix-induced viscosity and ionic inhibition in egg and milk samples. Moreover, our developed platform was validated using samples from 40 household refrigerators, which drastically reduces assay time and thereby circumvents the inhibitory effects that constrain qPCR in food matrices and achieves 100% diagnostic agreement compared with the gold-standard methods. Collectively, this dual-modal strategy provides a promising paradigm with point-of-care capability for food safety surveillance and antimicrobial resistance monitoring.
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