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使用单叠氮碘化丙锭结合实时荧光定量PCR快速检测和定量活细胞

Rapid Detection and Quantification of Viable Cells of Using Propidium Monoazide Combined with Real-Time PCR.

作者信息

Li Junhui, Chen Ruxing, Yang Ruwei, Wei Xinchen, Xie Hua, Shi Yanxia, Xie Xuewen, Chai Ali, Fan Tengfei, Li Baoju, Li Lei

机构信息

State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

Comprehensive Experimental Farm, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China.

出版信息

Microorganisms. 2023 Nov 19;11(11):2808. doi: 10.3390/microorganisms11112808.

Abstract

() has caused significant economic losses in major vegetable production areas in Northern China by causing bacterial soft rot in cash crops such as potatoes and cucumbers. This study aimed to establish a PMA-qPCR detection method for by screening specific and sensitive primers based on the gene and the conserved region of the 23S rRNA gene. Based on the optimized PMA pretreatment conditions, a standard curve was designed and constructed for PMA-qPCR detection (y = -3.391x + 36.28; R = 0.99). The amplification efficiency reached 97%, and the lowest detection limit of viable cells was approximately 2 × 10 CFU·mL. The feasibility of the PMA-qPCR method was confirmed through a manually simulated viable/dead cell assay under various concentrations. The analysis of potato tubers and cucumber seeds revealed that nine naturally collected seed samples contained a range from 10 to 10 CFU·g viable bacteria. Furthermore, the system effectively identified changes in the number of pathogenic bacteria in cucumber and potato leaves affected by soft rot throughout the disease period. Overall, the detection and prevention of bacterial soft rot caused by is crucial.

摘要

()通过引起马铃薯和黄瓜等经济作物的细菌性软腐病,给中国北方主要蔬菜产区造成了重大经济损失。本研究旨在基于基因和23S rRNA基因的保守区域筛选特异性和敏感性引物,建立一种用于检测的PMA-qPCR检测方法。基于优化后的PMA预处理条件,设计并构建了用于PMA-qPCR检测的标准曲线(y = -3.391x + 36.28;R = 0.99)。扩增效率达到97%,活细胞的最低检测限约为2×10 CFU·mL 。通过在不同浓度下进行人工模拟活/死细胞试验,证实了PMA-qPCR方法的可行性。对马铃薯块茎和黄瓜种子的分析表明,9个自然采集的种子样本中含有10至10 CFU·g的活细菌。此外,该系统有效地识别了整个病害期间受软腐病影响的黄瓜和马铃薯叶片中病原菌数量的变化。总体而言,检测和预防由引起的细菌性软腐病至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6fd/10673545/5cda07a0b3b1/microorganisms-11-02808-g001.jpg

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