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ddPCR 在定量环境中的细菌和真菌方面优于经典 qPCR 技术。

ddPCR surpasses classical qPCR technology in quantitating bacteria and fungi in the environment.

机构信息

CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.

College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.

出版信息

Mol Ecol Resour. 2022 Oct;22(7):2587-2598. doi: 10.1111/1755-0998.13644. Epub 2022 Jun 2.

Abstract

Quantitative real-time PCR (qPCR) has been widely used in quantifying bacterial and fungal populations in various ecosystems, as well as the fungi to bacteria ratio (F:B ratio). Recently, researchers have begun to apply droplet digital PCR (ddPCR) to this area; however, no study has systematically compared qPCR and ddPCR for quantitating both bacteria and fungi in environmental samples at the same time. Here, we designed probe-primer pair combinations targeting the 16S rRNA gene and internal transcribed spacer (ITS) for the detection of bacteria and fungi, respectively, and tested both SYBR Green and TaqMan approaches in qPCR and ddPCR methods for mock communities and in real environmental samples. In mock communities, the quantification results of ddPCR were significantly closer to expected values (p < .05), and had smaller coefficients of variations (p < .05) than qPCR, suggesting ddPCR was more accurate and repeatable. In environmental samples, ddPCR consistently quantified ITS and 16S rRNA gene concentrations in all four habitats without abnormal overestimation or underestimation, and the F:B ratio obtained by ddPCR was consistent with phospholipid fatty acid analysis. Our results indicated that ddPCR had better precision, repeatability, sensitivity, and stability in bacterial and fungal quantitation than qPCR. Although ddPCR has high cost, complicated processes and restricted detection range, it shows insensitivity to PCR inhibitors and the potential of quantifying long target fragments. We expect that ddPCR, which is complementary to qPCR, will contribute to microbial quantification in environmental monitoring and evaluation.

摘要

实时荧光定量 PCR(qPCR)已广泛应用于定量分析各种生态系统中的细菌和真菌种群,以及真菌与细菌的比例(F:B 比)。最近,研究人员开始将微滴数字 PCR(ddPCR)应用于这一领域;然而,尚无研究系统地比较 qPCR 和 ddPCR 同时定量环境样本中的细菌和真菌。在这里,我们设计了针对 16S rRNA 基因和内部转录间隔区(ITS)的探针-引物组合,分别用于检测细菌和真菌,并在模拟群落和真实环境样本中测试了 qPCR 和 ddPCR 方法中的 SYBR Green 和 TaqMan 方法。在模拟群落中,ddPCR 的定量结果与预期值更接近(p<0.05),并且变异系数更小(p<0.05),这表明 ddPCR 更准确且可重复。在环境样本中,ddPCR 始终在所有四个生境中定量 ITS 和 16S rRNA 基因浓度,没有异常的高估或低估,并且通过 ddPCR 获得的 F:B 比与磷脂脂肪酸分析一致。我们的结果表明,ddPCR 在细菌和真菌定量方面的精度、可重复性、灵敏度和稳定性均优于 qPCR。尽管 ddPCR 成本高、过程复杂且检测范围受限,但它对 PCR 抑制剂不敏感,并且具有定量长靶片段的潜力。我们预计,ddPCR 将与 qPCR 互补,为环境监测和评估中的微生物定量做出贡献。

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