Evidence map›Paper›PMID 31940382›Full record

ArticlePloS one2020

Quantitative PCR provides a simple and accessible method for quantitative microbiota profiling.

Ching Jian, Panu Luukkonen, Hannele Yki-Järvinen, Anne Salonen, Katri Korpela

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 213 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
213citing papers in PubMed, 2 pooled it
–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

213 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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153 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

5 authors.

Ching JianHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-0577-8834
Panu LuukkonenMinerva Foundation Institute for Medical Research, Helsinki, Finland.
Hannele Yki-JärvinenMinerva Foundation Institute for Medical Research, Helsinki, Finland.
Anne SalonenHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Katri KorpelaHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-5031-2713

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of relative abundance data from next generation sequencing (NGS) can lead to misinterpretations of microbial community structures, as the increase of one taxon leads to the concurrent decrease of the other(s) in compositional data. Although different DNA- and cell-based methods as well as statistical approaches have been developed to overcome the compositionality problem, and the biological relevance of absolute bacterial abundances has been demonstrated, the human microbiome research has not yet adopted these methods, likely due to feasibility issues. Here, we describe how quantitative PCR (qPCR) done in parallel to NGS library preparation provides an accurate estimation of absolute taxon abundances from NGS data and hence provides an attainable solution to compositionality in high-throughput microbiome analyses. The advantages and potential challenges of the method are also discussed.

Indexed as

Real-Time Polymerase Chain ReactionBacteriaDNA, BacterialFeasibility StudiesGene LibraryHigh-Throughput Nucleotide SequencingHigh-Throughput Screening AssaysHumansMicrobiotaRandomized Controlled Trials as TopicRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID31940382
PMCPMC6961887

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.