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Counting Mycobacteria in Infected Human Cells and Mouse Tissue: A Comparison between qPCR and CFU
Due to the slow growth rate and pathogenicity of mycobacteria, enumeration by traditional reference methods like colony counting is notoriously time-consuming, inconvenient and biohazardous. Thus, novel methods that rapidly and reliably quantify mycobacteria are warranted in experimental models to f...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3330814/ https://www.ncbi.nlm.nih.gov/pubmed/22532835 http://dx.doi.org/10.1371/journal.pone.0034931 |
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author | Pathak, Sharad Awuh, Jane A. Leversen, Nils Anders Flo, Trude H. Åsjø, Birgitta |
author_facet | Pathak, Sharad Awuh, Jane A. Leversen, Nils Anders Flo, Trude H. Åsjø, Birgitta |
author_sort | Pathak, Sharad |
collection | PubMed |
description | Due to the slow growth rate and pathogenicity of mycobacteria, enumeration by traditional reference methods like colony counting is notoriously time-consuming, inconvenient and biohazardous. Thus, novel methods that rapidly and reliably quantify mycobacteria are warranted in experimental models to facilitate basic research, development of vaccines and anti-mycobacterial drugs. In this study we have developed quantitative polymerase chain reaction (qPCR) assays for simultaneous quantification of mycobacterial and host DNA in infected human macrophage cultures and in mouse tissues. The qPCR method cannot discriminate live from dead bacteria and found a 10- to 100-fold excess of mycobacterial genomes, relative to colony formation. However, good linear correlations were observed between viable colony counts and qPCR results from infected macrophage cultures (Pearson correlation coefficient [r] for M. tuberculosis = 0.82; M. a. avium = 0.95; M. a. paratuberculosis = 0.91). Regression models that predict colony counts from qPCR data in infected macrophages were validated empirically and showed a high degree of agreement with observed counts. Similar correlation results were also obtained in liver and spleen homogenates of M. a. avium infected mice, although the correlations were distinct for the early phase (<day 9 post-infection) and later phase (≥day 20 post-infection) liver r = 0.94 and r = 0.91; spleen r = 0.91 and r = 0.87, respectively. Interestingly, in the mouse model the number of live bacteria as determined by colony counts constituted a much higher proportion of the total genomic qPCR count in the early phase (geometric mean ratio of 0.37 and 0.34 in spleen and liver, respectively), as compared to later phase of infection (geometric mean ratio of 0.01 in both spleen and liver). Overall, qPCR methods offer advantages in biosafety, time-saving, assay range and reproducibility compared to colony counting. Additionally, the duplex format allows enumeration of bacteria per host cell, an advantage in experiments where variable cell death can give misleading colony counts. |
format | Online Article Text |
id | pubmed-3330814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33308142012-04-24 Counting Mycobacteria in Infected Human Cells and Mouse Tissue: A Comparison between qPCR and CFU Pathak, Sharad Awuh, Jane A. Leversen, Nils Anders Flo, Trude H. Åsjø, Birgitta PLoS One Research Article Due to the slow growth rate and pathogenicity of mycobacteria, enumeration by traditional reference methods like colony counting is notoriously time-consuming, inconvenient and biohazardous. Thus, novel methods that rapidly and reliably quantify mycobacteria are warranted in experimental models to facilitate basic research, development of vaccines and anti-mycobacterial drugs. In this study we have developed quantitative polymerase chain reaction (qPCR) assays for simultaneous quantification of mycobacterial and host DNA in infected human macrophage cultures and in mouse tissues. The qPCR method cannot discriminate live from dead bacteria and found a 10- to 100-fold excess of mycobacterial genomes, relative to colony formation. However, good linear correlations were observed between viable colony counts and qPCR results from infected macrophage cultures (Pearson correlation coefficient [r] for M. tuberculosis = 0.82; M. a. avium = 0.95; M. a. paratuberculosis = 0.91). Regression models that predict colony counts from qPCR data in infected macrophages were validated empirically and showed a high degree of agreement with observed counts. Similar correlation results were also obtained in liver and spleen homogenates of M. a. avium infected mice, although the correlations were distinct for the early phase (<day 9 post-infection) and later phase (≥day 20 post-infection) liver r = 0.94 and r = 0.91; spleen r = 0.91 and r = 0.87, respectively. Interestingly, in the mouse model the number of live bacteria as determined by colony counts constituted a much higher proportion of the total genomic qPCR count in the early phase (geometric mean ratio of 0.37 and 0.34 in spleen and liver, respectively), as compared to later phase of infection (geometric mean ratio of 0.01 in both spleen and liver). Overall, qPCR methods offer advantages in biosafety, time-saving, assay range and reproducibility compared to colony counting. Additionally, the duplex format allows enumeration of bacteria per host cell, an advantage in experiments where variable cell death can give misleading colony counts. Public Library of Science 2012-04-19 /pmc/articles/PMC3330814/ /pubmed/22532835 http://dx.doi.org/10.1371/journal.pone.0034931 Text en Pathak et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Pathak, Sharad Awuh, Jane A. Leversen, Nils Anders Flo, Trude H. Åsjø, Birgitta Counting Mycobacteria in Infected Human Cells and Mouse Tissue: A Comparison between qPCR and CFU |
title | Counting Mycobacteria in Infected Human Cells and Mouse Tissue: A Comparison between qPCR and CFU |
title_full | Counting Mycobacteria in Infected Human Cells and Mouse Tissue: A Comparison between qPCR and CFU |
title_fullStr | Counting Mycobacteria in Infected Human Cells and Mouse Tissue: A Comparison between qPCR and CFU |
title_full_unstemmed | Counting Mycobacteria in Infected Human Cells and Mouse Tissue: A Comparison between qPCR and CFU |
title_short | Counting Mycobacteria in Infected Human Cells and Mouse Tissue: A Comparison between qPCR and CFU |
title_sort | counting mycobacteria in infected human cells and mouse tissue: a comparison between qpcr and cfu |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3330814/ https://www.ncbi.nlm.nih.gov/pubmed/22532835 http://dx.doi.org/10.1371/journal.pone.0034931 |
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