Highly accurate measurement of the relative abundance of oral pathogenic bacteria using colony-forming unit-based qPCR.

IF 2.2 4区 医学 Q2 DENTISTRY, ORAL SURGERY & MEDICINE
Jiyoung Hwang, Jeong-Hoo Lee, Yeon-Jin Kim, Inseong Hwang, Young-Youn Kim, Hye-Sung Kim, Do-Young Park
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引用次数: 0

Abstract

Purpose: Quantitative polymerase chain reaction (qPCR) has recently been employed to measure the number of bacterial cells by quantifying their DNA fragments. However, this method can yield inaccurate bacterial cell counts because the number of DNA fragments varies among different bacterial species. To resolve this issue, we developed a novel optimized qPCR method to quantify bacterial colony-forming units (CFUs), thereby ensuring a highly accurate count of bacterial cells.

Methods: To establish a new qPCR method for quantifying 6 oral bacteria namely, Porphyromonas gingivalis, Treponema denticola, Tannerella forsythia, Prevotella intermedia, Fusobacterium nucleatum, and Streptococcus mutans, the most appropriate primer-probe sets were selected based on sensitivity and specificity. To optimize the qPCR for predicting bacterial CFUs, standard curves were produced by plotting bacterial CFU against Ct values. To validate the accuracy of the predicted CFU values, a spiking study was conducted to calculate the recovery rates of the predicted CFUs to the true CFUs. To evaluate the reliability of the predicted CFU values, the consistency between the optimized qPCR method and shotgun metagenome sequencing (SMS) was assessed by comparing the relative abundance of the bacterial composition.

Results: For each bacterium, the selected primer-probe set amplified serial-diluted standard templates indicative of bacterial CFUs. The resultant Ct values and the corresponding bacterial CFU values were used to construct a standard curve, the linearity of which was determined by a coefficient of determination (r²) >0.99. The accuracy of the predicted CFU values was validated by recovery rates ranging from 95.1% to 106.8%. The reliability of the predicted CFUs was reflected by the consistency between the optimized qPCR and SMS, as demonstrated by a Spearman rank correlation coefficient (ρ) value of 1 for all 6 bacteria.

Conclusions: The CFU-based qPCR quantification method provides highly accurate and reliable quantitation of oral pathogenic bacteria.

利用基于菌落形成单位的 qPCR 高精度测量口腔致病菌的相对丰度。
目的:定量聚合酶链反应(qPCR)最近被用于通过量化 DNA 片段来测量细菌细胞的数量。然而,由于不同细菌种类的 DNA 片段数量不同,这种方法得出的细菌细胞数量可能不准确。为了解决这个问题,我们开发了一种新的优化 qPCR 方法来量化细菌菌落形成单位(CFU),从而确保细菌细胞计数的高度准确性:方法:为了建立一种新的 qPCR 方法来定量检测 6 种口腔细菌,即牙龈卟啉单胞菌、牙龈特雷庞氏菌、连翘坦奈氏菌、中间普雷沃特氏菌、核酸化脓杆菌和变异链球菌,我们根据灵敏度和特异性选择了最合适的引物-探针组。为了优化预测细菌 CFU 的 qPCR,通过绘制细菌 CFU 与 Ct 值的关系曲线来生成标准曲线。为验证预测 CFU 值的准确性,进行了一项加标研究,以计算预测 CFU 与真实 CFU 的回收率。为了评估预测 CFU 值的可靠性,通过比较细菌组成的相对丰度,评估了优化的 qPCR 方法与枪式元基因组测序(SMS)之间的一致性:结果:对于每种细菌,所选引物-探针组都能扩增出指示细菌 CFU 的系列稀释标准模板。由此得出的 Ct 值和相应的细菌 CFU 值被用于构建标准曲线,其线性度由测定系数 (r²) >0.99 确定。回收率从 95.1% 到 106.8% 不等,验证了预测 CFU 值的准确性。所有 6 种细菌的斯皮尔曼秩相关系数 (ρ)值均为 1,这表明优化的 qPCR 与 SMS 之间的一致性反映了预测 CFU 值的可靠性:基于 CFU 的 qPCR 定量方法可对口腔致病菌进行高度准确可靠的定量。
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来源期刊
Journal of Periodontal and Implant Science
Journal of Periodontal and Implant Science DENTISTRY, ORAL SURGERY & MEDICINE-
CiteScore
3.30
自引率
5.30%
发文量
38
期刊介绍: Journal of Periodontal & Implant Science (JPIS) is a peer-reviewed and open-access journal providing up-to-date information relevant to professionalism of periodontology and dental implantology. JPIS is dedicated to global and extensive publication which includes evidence-based original articles, and fundamental reviews in order to cover a variety of interests in the field of periodontal as well as implant science.
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