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Adjusting microbiome profiles for differences in microbial load by spike-in bacteria
BACKGROUND: Next-generation 16S ribosomal RNA gene sequencing is widely used to determine the relative composition of the mammalian gut microbiomes. However, in the absence of a reference, this does not reveal alterations in absolute abundance of specific operational taxonomic units if microbial loa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915049/ https://www.ncbi.nlm.nih.gov/pubmed/27329048 http://dx.doi.org/10.1186/s40168-016-0175-0 |
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author | Stämmler, Frank Gläsner, Joachim Hiergeist, Andreas Holler, Ernst Weber, Daniela Oefner, Peter J. Gessner, André Spang, Rainer |
author_facet | Stämmler, Frank Gläsner, Joachim Hiergeist, Andreas Holler, Ernst Weber, Daniela Oefner, Peter J. Gessner, André Spang, Rainer |
author_sort | Stämmler, Frank |
collection | PubMed |
description | BACKGROUND: Next-generation 16S ribosomal RNA gene sequencing is widely used to determine the relative composition of the mammalian gut microbiomes. However, in the absence of a reference, this does not reveal alterations in absolute abundance of specific operational taxonomic units if microbial loads vary across specimens. RESULTS: Here we suggest the spiking of exogenous bacteria into crude specimens to quantify ratios of absolute bacterial abundances. We use the 16S rDNA read counts of the spike-in bacteria to adjust the read counts of endogenous bacteria for changes in total microbial loads. Using a series of dilutions of pooled faecal samples from mice containing defined amounts of the spike-in bacteria Salinibacter ruber, Rhizobium radiobacter and Alicyclobacillus acidiphilus, we demonstrate that spike-in-based calibration to microbial loads allows accurate estimation of ratios of absolute endogenous bacteria abundances. Applied to stool specimens of patients undergoing allogeneic stem cell transplantation, we were able to determine changes in both relative and absolute abundances of various phyla, especially the genus Enterococcus, in response to antibiotic treatment and radio-chemotherapeutic conditioning. CONCLUSION: Exogenous spike-in bacteria in gut microbiome studies enable estimation of ratios of absolute OTU abundances, providing novel insights into the structure and the dynamics of intestinal microbiomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-016-0175-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4915049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49150492016-06-22 Adjusting microbiome profiles for differences in microbial load by spike-in bacteria Stämmler, Frank Gläsner, Joachim Hiergeist, Andreas Holler, Ernst Weber, Daniela Oefner, Peter J. Gessner, André Spang, Rainer Microbiome Methodology BACKGROUND: Next-generation 16S ribosomal RNA gene sequencing is widely used to determine the relative composition of the mammalian gut microbiomes. However, in the absence of a reference, this does not reveal alterations in absolute abundance of specific operational taxonomic units if microbial loads vary across specimens. RESULTS: Here we suggest the spiking of exogenous bacteria into crude specimens to quantify ratios of absolute bacterial abundances. We use the 16S rDNA read counts of the spike-in bacteria to adjust the read counts of endogenous bacteria for changes in total microbial loads. Using a series of dilutions of pooled faecal samples from mice containing defined amounts of the spike-in bacteria Salinibacter ruber, Rhizobium radiobacter and Alicyclobacillus acidiphilus, we demonstrate that spike-in-based calibration to microbial loads allows accurate estimation of ratios of absolute endogenous bacteria abundances. Applied to stool specimens of patients undergoing allogeneic stem cell transplantation, we were able to determine changes in both relative and absolute abundances of various phyla, especially the genus Enterococcus, in response to antibiotic treatment and radio-chemotherapeutic conditioning. CONCLUSION: Exogenous spike-in bacteria in gut microbiome studies enable estimation of ratios of absolute OTU abundances, providing novel insights into the structure and the dynamics of intestinal microbiomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-016-0175-0) contains supplementary material, which is available to authorized users. BioMed Central 2016-06-21 /pmc/articles/PMC4915049/ /pubmed/27329048 http://dx.doi.org/10.1186/s40168-016-0175-0 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Stämmler, Frank Gläsner, Joachim Hiergeist, Andreas Holler, Ernst Weber, Daniela Oefner, Peter J. Gessner, André Spang, Rainer Adjusting microbiome profiles for differences in microbial load by spike-in bacteria |
title | Adjusting microbiome profiles for differences in microbial load by spike-in bacteria |
title_full | Adjusting microbiome profiles for differences in microbial load by spike-in bacteria |
title_fullStr | Adjusting microbiome profiles for differences in microbial load by spike-in bacteria |
title_full_unstemmed | Adjusting microbiome profiles for differences in microbial load by spike-in bacteria |
title_short | Adjusting microbiome profiles for differences in microbial load by spike-in bacteria |
title_sort | adjusting microbiome profiles for differences in microbial load by spike-in bacteria |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915049/ https://www.ncbi.nlm.nih.gov/pubmed/27329048 http://dx.doi.org/10.1186/s40168-016-0175-0 |
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