Evidence map›Paper›PMID 27612291›Full record

ArticleThe ISME journal2017

Absolute quantification of microbial taxon abundances.

Ruben Props, Frederiek-Maarten Kerckhof, Peter Rubbens, Jo De Vrieze, Emma Hernandez Sanabria, Willem Waegeman, Pieter Monsieurs, Frederik Hammes, Nico Boon

Abstract read
In one paragraph

Article in The ISME journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers.

0numbers the graph read from it
0cells of the map it votes in
175citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

175 citing papers in PubMed.

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  19. Pharmacomicrobiomics.Clinical pharmacology and therapeutics · 2025
    Review
  20. Article

115 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ruben PropsCenter for Microbial Ecology and Technology (CMET), Department of Biochemical and Microbial Technology, Ghent University, Gent, Belgium.
Frederiek-Maarten KerckhofCenter for Microbial Ecology and Technology (CMET), Department of Biochemical and Microbial Technology, Ghent University, Gent, Belgium.
Peter RubbensKERMIT, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium.
Jo De VriezeCenter for Microbial Ecology and Technology (CMET), Department of Biochemical and Microbial Technology, Ghent University, Gent, Belgium.
Emma Hernandez SanabriaCenter for Microbial Ecology and Technology (CMET), Department of Biochemical and Microbial Technology, Ghent University, Gent, Belgium.
Willem WaegemanKERMIT, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium.
Pieter MonsieursBelgian Nuclear Research Centre (SCK•CEN), Mol, Antwerp, Belgium.
Frederik HammesDepartment of Environmental Microbiology, Eawag-Swiss Federal Institute for Aquatic Science and Technology, Dübendorf, Switzerland.
Nico BoonCenter for Microbial Ecology and Technology (CMET), Department of Biochemical and Microbial Technology, Ghent University, Gent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput amplicon sequencing has become a well-established approach for microbial community profiling. Correlating shifts in the relative abundances of bacterial taxa with environmental gradients is the goal of many microbiome surveys. As the abundances generated by this technology are semi-quantitative by definition, the observed dynamics may not accurately reflect those of the actual taxon densities. We combined the sequencing approach (16S rRNA gene) with robust single-cell enumeration technologies (flow cytometry) to quantify the absolute taxon abundances. A detailed longitudinal analysis of the absolute abundances resulted in distinct abundance profiles that were less ambiguous and expressed in units that can be directly compared across studies. We further provide evidence that the enrichment of taxa (increase in relative abundance) does not necessarily relate to the outgrowth of taxa (increase in absolute abundance). Our results highlight that both relative and absolute abundances should be considered for a comprehensive biological interpretation of microbiome surveys.

Indexed as

MicrobiotaBacteriaBiodiversityDNA, BacterialDNA, RibosomalFlow CytometrySequence Analysis, DNADNA, BacterialDNA, Ribosomal

Identifiers

PMID27612291
PMCPMC5270559

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.