How to Count Our Microbes? The Effect of Different Quantitative Microbiome Profiling Approaches
Frontiers in Cellular and Infection Microbiology, vol. 10, pp. 403
Abstract
Next-generation sequencing (NGS) has instigated the research on the role of the microbiome in health and disease. The compositional nature of such microbiome datasets makes it however challenging to identify those microbial taxa that are truly associated with an intervention or health outcome. Quantitative microbiome profiling overcomes the compositional structure of microbiome sequencing data by integrating absolute quantification of microbial abundances into the NGS data. Both cell-based methods (e.g., flow cytometry) and molecular methods (qPCR) have been used to determine the absolute microbial abundances, but to what extent different quantification methods generate similar quantitative microbiome profiles has so far not been explored. Here we compared relative microbiome profiling (without incorporation of microbial quantification) to three variations of quantitative microbiome profiling: (1) microbial cell counting using flow cytometry (QMP), (2) counting of microbial cells using flow cytometry combined with Propidium Monoazide pre-treatment of fecal samples before metagenomics DNA isolation in order to only profile the microbial composition of intact cells (QMP-PMA), and (3) molecular based quantification of the microbial load using qPCR targeting the 16S rRNA gene. Although qPCR and flow cytometry both resulted in accurate and strongly correlated results when quantifying the bacterial abundance of a mock community of bacterial cells, the two methods resulted in highly divergent quantitative microbial profiles when analyzing the microbial composition of fecal samples from 16 healthy volunteers. These differences could not be attributed to the presence of free extracellular prokaryotic DNA in the fecal samples as sample pre-treatment with Propidium Monoazide did not improve the concordance between qPCR-based and flow cytometry-based QMP. Also lack of precision of qPCR was ruled out as a major cause of the disconcordant findings, since quantification of the fecal microbial load by the highly sensitive digital droplet PCR correlated strongly with qPCR. In conclusion, quantitative microbiome profiling is an elegant approach to bypass the compositional nature of microbiome NGS data, however it is important to realize that technical sources of variability may introduce substantial additional bias depending on the quantification method being used.
Authors 15
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Maastricht University Medical Centre · Maastricht University · Care and Public Health Research Institute
Affiliation as printed
Department of Medical Microbiology, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center+, Maastricht, Netherlands
Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
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Maastricht University Medical Centre · Maastricht University · Universitätsklinikum Aachen · RWTH Aachen University
Affiliation as printed
Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
Institute of Medical Microbiology, RWTH University Hospital Aachen, Aachen, Germany
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Philipps University of Marburg · Maastricht University Medical Centre · Maastricht University · German Center for Lung Research · Universities of Giessen and Marburg Lung Center
Affiliation as printed
Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
Department of Respiratory Medicine, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
Member of the German Center for Lung Research (DZL), Universities of Giessen and Marburg Lung Centre, Institute for Lung Research, Philipps-University Marburg, Marburg, Germany
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Maastricht University Medical Centre · Maastricht University · Care and Public Health Research Institute
Affiliation as printed
Department of Medical Microbiology, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center+, Maastricht, Netherlands
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Maastricht University Medical Centre · Maastricht University
Affiliation as printed
Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
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Maastricht University Medical Centre · Maastricht University · Care and Public Health Research Institute
Affiliation as printed
Department of Medical Microbiology, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center+, Maastricht, Netherlands
Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
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Maastricht University Medical Centre · Maastricht University
Affiliation as printed
Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
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Maastricht University Medical Centre · Maastricht University · Care and Public Health Research Institute
Affiliation as printed
Department of Medical Microbiology, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center+, Maastricht, Netherlands
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Maastricht University Medical Centre · Maastricht University
Affiliation as printed
Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
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Maastricht University Medical Centre · Maastricht University
Affiliation as printed
Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
Division of Gastroenterology-Hepatology, Department of Internal Medicine, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
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Universitätsklinikum Aachen · RWTH Aachen University
Affiliation as printed
Institute of Medical Microbiology, RWTH University Hospital Aachen, Aachen, Germany
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Maastricht University Medical Centre · Maastricht University · Care and Public Health Research Institute · Amsterdam UMC Location Vrije Universiteit Amsterdam
Affiliation as printed
Department of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, Netherlands
Department of Medical Microbiology, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center+, Maastricht, Netherlands
Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
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Maastricht University Medical Centre · Maastricht University
Affiliation as printed
Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
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Maastricht University Medical Centre · Maastricht University · Care and Public Health Research Institute
Affiliation as printed
Department of Medical Microbiology, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center+, Maastricht, Netherlands
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John Penders corresponding
Maastricht University Medical Centre · Maastricht University · Care and Public Health Research Institute
Affiliation as printed
Department of Medical Microbiology, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center+, Maastricht, Netherlands
Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center+, Maastricht, Netherlands
Cited by 146 stored of 148
Cited by patents worldwide 3 (Lens.org)
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METHODS FOR IMPROVING GUT MICROBIOTA DIVERSITYWO2023025722A1 2023-03-02 Pending
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METHOD FOR DETERMINING GUT MICROBIOTA STATUSWO2023281038A1 2023-01-12 Pending
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METHODWO2023281037A1 2023-01-12 Pending