Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 561231
Title Absolute quantitation of microbes using 16S rRNA gene metabarcoding : A rapid normalization of relative abundances by quantitative PCR targeting a 16S rRNA gene spike-in standard
Author(s) Zemb, Olivier; Achard, Caroline S.; Hamelin, Jerome; Almeida, Marie Léa De; Gabinaud, Béatrice; Cauquil, Laurent; Verschuren, Lisanne M.G.; Godon, Jean Jacques
Source MicrobiologyOpen 9 (2020)3. - ISSN 2045-8827
DOI https://doi.org/10.1002/mbo3.977
Department(s) Animal Breeding & Genomics
Publication type Refereed Article in a scientific journal
Publication year 2020
Keyword(s) 16S rRNA gene - absolute count data - metabarcoding - microbiome - normalization - spike-in
Abstract

Metabarcoding of the 16S rRNA gene is commonly used to characterize microbial communities, by estimating the relative abundance of microbes. Here, we present a method to retrieve the concentrations of the 16S rRNA gene per gram of any environmental sample using a synthetic standard in minuscule amounts (100 ppm to 1% of the 16S rRNA sequences) that is added to the sample before DNA extraction and quantified by two quantitative polymerase chain reaction (qPCR) reactions. This allows normalizing by the initial microbial density, taking into account the DNA recovery yield. We quantified the internal standard and the total load of 16S rRNA genes by qPCR. The qPCR for the latter uses the exact same primers as those used for Illumina sequencing of the V3-V4 hypervariable regions of the 16S rRNA gene to increase accuracy. We are able to calculate the absolute concentration of the species per gram of sample, taking into account the DNA recovery yield. This is crucial for an accurate estimate as the yield varied between 40% and 84%. This method avoids sacrificing a high proportion of the sequencing effort to quantify the internal standard. If sacrificing a part of the sequencing effort to the internal standard is acceptable, we however recommend that the internal standard accounts for 30% of the environmental 16S rRNA genes to avoid the PCR bias associated with rare phylotypes. The method proposed here was tested on a feces sample but can be applied more broadly on any environmental sample. This method offers a real improvement of metabarcoding of microbial communities since it makes the method quantitative with limited efforts.

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