4.7 Article

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

期刊

MOLECULAR ECOLOGY RESOURCES
卷 22, 期 7, 页码 2587-2598

出版社

WILEY
DOI: 10.1111/1755-0998.13644

关键词

droplet digital PCR; environmental microbiology; fungi to bacteria ratio; microbial quantification quantitative real-time PCR

资金

  1. Key Projects of Sichuan Provincial Department of Science and Technology [2020YFSY0008]
  2. Sichuan Provincial Department of Science and Technology
  3. National Natural Science Foundation of China [91851106, U1906223]
  4. National Key Research and Development Program [2019YFC1905001]

向作者/读者索取更多资源

This study compared the performance of qPCR and ddPCR in quantifying both bacterial and fungal populations. The results showed that ddPCR had higher accuracy and repeatability than qPCR in mock communities, and it could accurately quantify bacterial and fungal concentrations in real environmental samples, with the F:B ratio obtained by ddPCR consistent with other analysis methods.
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.

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