Evidence map›Paper›PMID 40800615›Full record

ArticleISME communications2025

Validating digital polymerase chain reaction for 16S rRNA gene amplification from low biomass environmental samples.

Veronika V Koziaeva, Katja Engel, Josh D Neufeld

Abstract read
In one paragraph

Article in ISME communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

3 authors.

Veronika V KoziaevaDepartment of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada.ORCID https://orcid.org/0000-0002-6000-8886
Katja EngelDepartment of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada.ORCID https://orcid.org/0000-0002-4141-3819
Josh D NeufeldDepartment of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada.ORCID https://orcid.org/0000-0002-8722-8571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital polymerase chain reaction (dPCR) is a DNA quantification technology that offers absolute quantification of DNA templates. In this study, we optimized and validated a chip-based dPCR EvaGreen assay with commonly used 16S rRNA gene primer pairs and compared its performance to quantitative real-time PCR (qPCR). We compared measurements of low amounts of template DNA using a newly designed synthetic DNA standard to assess precision, accuracy, and sensitivity. Optimization approaches were tested to minimize partitions with intermediate fluorescence levels between true positive and true negative partitions (so-called "rain") for dPCR. Both dPCR and qPCR demonstrated similar quantification performance, with variability in accuracy increasing for samples containing fewer than 30 copies μl

Indexed as

digital polymerase chain reactionDNA quantificationlow-biomass samplesPCR contaminationPCR inhibitionquantitative real-time PCR

Identifiers

PMID40800615
PMCPMC12342375

What OpenQuestion holds

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LicenceCC BY
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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.