Evidence map›Paper›PMID 41339941›Full record

ArticleBMC research notes2025

Synthesized double stranded gene fragments are not suitable for qPCR endogenous control spike-ins.

Nathan Zeinstra, Tzitziki Loeza-Quintana, Cameron Brown, Robert Hanner

Abstract read
In one paragraph

Article in BMC research notes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Nathan ZeinstraDepartment of Integrative Biology, University of Guelph, Guelph, ON, Canada. nzeinstr@uoguelph.ca.
Tzitziki Loeza-QuintanaDepartment of Integrative Biology, University of Guelph, Guelph, ON, Canada.
Cameron BrownDepartment of Integrative Biology, University of Guelph, Guelph, ON, Canada.
Robert HannerDepartment of Integrative Biology, University of Guelph, Guelph, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveQuality control standards are paramount for eDNA methods to gain widespread acceptance. In targeted eDNA studies, there are three main stages: sample collection, DNA extraction, and amplification via PCR. During this process, positive controls that ensure procedural success and validate negative results are typically included only in the final PCR amplification stage of the workflow. To address this issue, we explored the possibility of using synthetic dsDNA gene fragment spike-ins as endogenous controls to monitor the success of the sample collection and DNA extraction phases of the workflow. We hypothesised that short fragments of assay-specific dsDNA would be suitable for an endogenous control to monitor method success. To test this, we spiked dsDNA into two matrices, river water and TE buffer, where we then filtered and extracted each matrix and assessed the recovery of the spike-in.

resultsOur findings concluded that common eDNA collection and extraction methodologies do not consistently capture and isolate dsDNA fragments as we were unable to recover any of the dsDNA spike-ins. Thus, such fragments are unsuitable for a pre-extraction endogenous control. Further, this suggests that similar size dsDNA fragments in the environment may be missed by filtration-based eDNA studies.

Indexed as

DNADNA, EnvironmentalPolymerase Chain ReactionReal-Time Polymerase Chain ReactionExtrachromosomal DNARiversDNADNA, EnvironmentalExtrachromosomal DNAEndogenous controlEnvironmetal DNAPositive controlQuantitative PCRSynthetic DNA fragments

Identifiers

PMID41339941
PMCPMC12781393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.