Optimized bacterial absolute quantification method by qPCR using an exogenous bacterial culture as a normalization strategy in triple-species BV-like biofilms
Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved..
Quantitative Polymerase Chain Reaction (qPCR) is a widely used method in molecular biology to quantify target DNA sequences. Despite its accuracy, there are important experimental controls that should be considered to avoid biased results. One of them is gDNA loss during extraction, which is higher among samples with lower bacterial concentrations. Improvement in qPCR quantification procedures is mandatory to obtain reproducible and accurate results. Herein, we report an improved qPCR method for bacterial quantification of Gardnerella vaginalis, Prevotella bivia, and Fannyhessea vaginae, three key-bacterial vaginosis (BV)-associated bacteria (BVAB) thought to play important roles in the pathogenesis of this common vaginal infection. The formation of a mature biofilm on vaginal epithelial cells is an unique feature of BV and, despite over 60 years of research, the exact etiology of BV remains unknown. Here, we optimized a qPCR method that accurately quantified triple-species biofilms containing these key BVAB, after the addition of an exogenous bacterial control containing a fixed concentration of Escherichia coli, prior to gDNA extraction. This improved method minimized and normalized the inherent losses associated with bacterial centrifugation, which allows better sensitivity at lower bacterial concentrations.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:219 |
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| Enthalten in: |
Journal of microbiological methods - 219(2024) vom: 08. Apr., Seite 106895 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Lameira, Inês [VerfasserIn] |
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| Links: |
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| Themen: |
Bacterial quantification |
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| Anmerkungen: |
Date Completed 18.03.2024 Date Revised 10.04.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.mimet.2024.106895 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 500 | |a published: Print-Electronic | ||
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| 520 | |a Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved. | ||
| 520 | |a Quantitative Polymerase Chain Reaction (qPCR) is a widely used method in molecular biology to quantify target DNA sequences. Despite its accuracy, there are important experimental controls that should be considered to avoid biased results. One of them is gDNA loss during extraction, which is higher among samples with lower bacterial concentrations. Improvement in qPCR quantification procedures is mandatory to obtain reproducible and accurate results. Herein, we report an improved qPCR method for bacterial quantification of Gardnerella vaginalis, Prevotella bivia, and Fannyhessea vaginae, three key-bacterial vaginosis (BV)-associated bacteria (BVAB) thought to play important roles in the pathogenesis of this common vaginal infection. The formation of a mature biofilm on vaginal epithelial cells is an unique feature of BV and, despite over 60 years of research, the exact etiology of BV remains unknown. Here, we optimized a qPCR method that accurately quantified triple-species biofilms containing these key BVAB, after the addition of an exogenous bacterial control containing a fixed concentration of Escherichia coli, prior to gDNA extraction. This improved method minimized and normalized the inherent losses associated with bacterial centrifugation, which allows better sensitivity at lower bacterial concentrations | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Research Support, N.I.H., Extramural | |
| 650 | 4 | |a Bacterial quantification | |
| 650 | 4 | |a Bacterial vaginosis | |
| 650 | 4 | |a Calibration curves | |
| 650 | 4 | |a Centrifugation loss | |
| 650 | 4 | |a Exogenous control | |
| 650 | 4 | |a qPCR | |
| 700 | 1 | |a Pinto, Ana S |e verfasserin |4 aut | |
| 700 | 1 | |a Lima, Ângela |e verfasserin |4 aut | |
| 700 | 1 | |a Muzny, Christina A |e verfasserin |4 aut | |
| 700 | 1 | |a Cerca, Nuno |e verfasserin |4 aut | |
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