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A qRT-PCR Method Capable of Quantifying Specific Microorganisms Compared to NGS-Based Metagenome Profiling Data
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 a...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875016/ https://www.ncbi.nlm.nih.gov/pubmed/35208779 http://dx.doi.org/10.3390/microorganisms10020324 |
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author | 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 |
author_facet | 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 |
author_sort | Jeong, Jinuk |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8875016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88750162022-02-26 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 Microorganisms Article 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. MDPI 2022-01-30 /pmc/articles/PMC8875016/ /pubmed/35208779 http://dx.doi.org/10.3390/microorganisms10020324 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article 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 A qRT-PCR Method Capable of Quantifying Specific Microorganisms Compared to NGS-Based Metagenome Profiling Data |
title | A qRT-PCR Method Capable of Quantifying Specific Microorganisms Compared to NGS-Based Metagenome Profiling Data |
title_full | A qRT-PCR Method Capable of Quantifying Specific Microorganisms Compared to NGS-Based Metagenome Profiling Data |
title_fullStr | A qRT-PCR Method Capable of Quantifying Specific Microorganisms Compared to NGS-Based Metagenome Profiling Data |
title_full_unstemmed | A qRT-PCR Method Capable of Quantifying Specific Microorganisms Compared to NGS-Based Metagenome Profiling Data |
title_short | A qRT-PCR Method Capable of Quantifying Specific Microorganisms Compared to NGS-Based Metagenome Profiling Data |
title_sort | qrt-pcr method capable of quantifying specific microorganisms compared to ngs-based metagenome profiling data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875016/ https://www.ncbi.nlm.nih.gov/pubmed/35208779 http://dx.doi.org/10.3390/microorganisms10020324 |
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