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A qRT-PCR Method Capable of Quantifying Specific Microorganisms Compared to NGS-Based Metagenome Profiling Data.
Jeong, Jinuk; Mun, Seyoung; Oh, Yunseok; Cho, Chun-Sung; Yun, Kyeongeui; Ahn, Yongju; Chung, Won-Hyong; Lim, Mi Young; Lee, Kyung Eun; Hwang, Tae Soon; Han, Kyudong.
Afiliação
  • Jeong J; Department of Bioconvergence Engineering, Dankook University, Yongin 16890, Korea.
  • Mun S; Department of Nanobiomedical Science, Dankook University, Cheonan 31116, Korea.
  • Oh Y; Center for Bio-Medical Engineering Core Facility, Dankook University, Cheonan 31116, Korea.
  • Cho CS; Department of Bioconvergence Engineering, Dankook University, Yongin 16890, Korea.
  • Yun K; Department of Neurosurgery, College of Medicine, Dankook University, Cheonan 31116, Korea.
  • Ahn Y; HuNBiome Co., Ltd., Seoul 08507, Korea.
  • Chung WH; HuNBiome Co., Ltd., Seoul 08507, Korea.
  • Lim MY; Research Group of Healthcare, Korea Food Research Institute, Wanju 55365, Korea.
  • Lee KE; Research Group of Healthcare, Korea Food Research Institute, Wanju 55365, Korea.
  • Hwang TS; Department of Oral Medicine, School of Dentistry, Jeonbuk National University, Jeonju 54896, Korea.
  • Han K; Theragen Bio Co., Ltd., Seongnam-si 13488, Korea.
Microorganisms ; 10(2)2022 Jan 30.
Article em En | MEDLINE | ID: mdl-35208779
ABSTRACT
Metagenome profiling research using next-generation sequencing (NGS), a technique widely used to analyze the diversity and composition of microorganisms living in the human body, especially the gastrointestinal tract, has been actively conducted, and there is a growing interest in the quantitative and diagnostic technology for specific microorganisms. According to recent trends, quantitative real-time PCR (qRT-PCR) is still a considerable technique in detecting and quantifying bacteria associated with the human oral and nasal cavities, due to the analytical cost and time burden of NGS technology. Here, based on NGS metagenome profiling data produced by utilizing 100 gut microbiota samples, we conducted a comparative analysis for the identification and quantification of five bacterial genera (Akkermansia, Bacteroides, Bifidobacterium, Phascolarctobacterium, and Roseburia) within same metagenomic DNA samples through qRT-PCR assay in parallel. Genus-specific primers, targeting the particular gene of each genus for qRT-PCR assay, allowed a statistically consistent quantification pattern with the metagenome profiling data. Furthermore, results of bacterial identification through Sanger validation demonstrated the high genus-specificity of each primer set. Therefore, our study suggests that an approach to quantifying specific microorganisms by applying the qRT-PCR method can compensate for the concerns (potential issues) of NGS while also providing efficient benefits to various microbial industries.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article