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Absolute quantitation of microbiota abundance in environmental samples

BACKGROUND: Microbial communities (microbiota) influence human and animal disease and immunity, geochemical nutrient cycling and plant productivity. Specific groups, including bacteria, archaea, eukaryotes or fungi, are amplified by PCR to assess the relative abundance of sub-groups (e.g. genera). H...

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Autores principales: Tkacz, Andrzej, Hortala, Marion, Poole, Philip S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6009823/
https://www.ncbi.nlm.nih.gov/pubmed/29921326
http://dx.doi.org/10.1186/s40168-018-0491-7
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author Tkacz, Andrzej
Hortala, Marion
Poole, Philip S.
author_facet Tkacz, Andrzej
Hortala, Marion
Poole, Philip S.
author_sort Tkacz, Andrzej
collection PubMed
description BACKGROUND: Microbial communities (microbiota) influence human and animal disease and immunity, geochemical nutrient cycling and plant productivity. Specific groups, including bacteria, archaea, eukaryotes or fungi, are amplified by PCR to assess the relative abundance of sub-groups (e.g. genera). However, neither the absolute abundance of sub-groups is revealed, nor can different amplicon families (i.e. OTUs derived from a specific pair of PCR primers such as bacterial 16S, eukaryotic 18S or fungi ITS) be compared. This prevents determination of the absolute abundance of a particular group and domain-level shifts in microbiota abundance can remain undetected. RESULTS: We have developed absolute quantitation of amplicon families using synthetic chimeric DNA spikes. Synthetic spikes were added directly to environmental samples, co-isolated and PCR-amplified, allowing calculation of the absolute abundance of amplicon families (e.g. prokaryotic 16S, eukaryotic 18S and fungal ITS per unit mass of sample). CONCLUSIONS: Spikes can be adapted to any amplicon-specific group including rhizobia from soils, Firmicutes and Bifidobacteria from human gut or Enterobacteriaceae from food samples. Crucially, using highly complex soil samples, we show that the absolute abundance of specific groups can remain steady or increase, even when their relative abundance decreases. Thus, without absolute quantitation, the underlying pathology, physiology and ecology of microbial groups may be masked by their relative abundance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0491-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-60098232018-06-27 Absolute quantitation of microbiota abundance in environmental samples Tkacz, Andrzej Hortala, Marion Poole, Philip S. Microbiome Methodology BACKGROUND: Microbial communities (microbiota) influence human and animal disease and immunity, geochemical nutrient cycling and plant productivity. Specific groups, including bacteria, archaea, eukaryotes or fungi, are amplified by PCR to assess the relative abundance of sub-groups (e.g. genera). However, neither the absolute abundance of sub-groups is revealed, nor can different amplicon families (i.e. OTUs derived from a specific pair of PCR primers such as bacterial 16S, eukaryotic 18S or fungi ITS) be compared. This prevents determination of the absolute abundance of a particular group and domain-level shifts in microbiota abundance can remain undetected. RESULTS: We have developed absolute quantitation of amplicon families using synthetic chimeric DNA spikes. Synthetic spikes were added directly to environmental samples, co-isolated and PCR-amplified, allowing calculation of the absolute abundance of amplicon families (e.g. prokaryotic 16S, eukaryotic 18S and fungal ITS per unit mass of sample). CONCLUSIONS: Spikes can be adapted to any amplicon-specific group including rhizobia from soils, Firmicutes and Bifidobacteria from human gut or Enterobacteriaceae from food samples. Crucially, using highly complex soil samples, we show that the absolute abundance of specific groups can remain steady or increase, even when their relative abundance decreases. Thus, without absolute quantitation, the underlying pathology, physiology and ecology of microbial groups may be masked by their relative abundance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0491-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-19 /pmc/articles/PMC6009823/ /pubmed/29921326 http://dx.doi.org/10.1186/s40168-018-0491-7 Text en © The Author(s). 2018 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
Tkacz, Andrzej
Hortala, Marion
Poole, Philip S.
Absolute quantitation of microbiota abundance in environmental samples
title Absolute quantitation of microbiota abundance in environmental samples
title_full Absolute quantitation of microbiota abundance in environmental samples
title_fullStr Absolute quantitation of microbiota abundance in environmental samples
title_full_unstemmed Absolute quantitation of microbiota abundance in environmental samples
title_short Absolute quantitation of microbiota abundance in environmental samples
title_sort absolute quantitation of microbiota abundance in environmental samples
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6009823/
https://www.ncbi.nlm.nih.gov/pubmed/29921326
http://dx.doi.org/10.1186/s40168-018-0491-7
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