Evidence map›Paper›PMID 40231068›Full record

ArticlePeerJ2025

Assessing reliability and accuracy of qPCR, dPCR and ddPCR for estimating mitochondrial DNA copy number in songbird blood and sperm cells.

Laima Bagdonaitė, Erica H Leder, Jan T Lifjeld, Arild Johnsen, Quentin Mauvisseau

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Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Laima BagdonaitėNatural History Museum, University of Oslo, Oslo, Norway.ORCID 0000-0003-0301-6772
Erica H LederNatural History Museum, University of Oslo, Oslo, Norway.ORCID 0000-0002-7160-2290
Jan T LifjeldNatural History Museum, University of Oslo, Oslo, Norway.ORCID 0000-0002-9172-9985
Arild JohnsenNatural History Museum, University of Oslo, Oslo, Norway.ORCID 0000-0003-4864-6284
Quentin MauvisseauNatural History Museum, University of Oslo, Oslo, Norway.ORCID 0000-0003-1215-2987

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial DNA (mtDNA) copy number varies across species, individuals, and cell types. In birds, there are two types of cells with a relatively low number of mitochondria: red blood cells and spermatozoa. Previous studies investigating variation of mitochondrial abundance in animal sperm have generally used quantitative PCR (qPCR), but this method shows potential limitations when quantifying targets at low abundance. To mitigate such issues, we investigated and compared the reliability and accuracy of qPCR, digital PCR (dPCR) and droplet digital PCR (ddPCR) to quantify high and low concentration DNA. We used synthetic DNA targets, to calculate the limit of detection and the limit of quantification and found that with both dPCR and ddPCR, these limits were lower than with qPCR. Then, to compare quantification accuracy and repeatability, we used DNA extracted from blood and sperm cells of Eurasian siskin. We found that qPCR, dPCR and ddPCR all reliably quantified mitochondrial DNA in sperm samples but showed significant differences when analyzing the typically lower levels of mtDNA in blood, with ddPCR consistently showing lower variation among replicates. Our study provides critical insights and recommendations for future studies aiming to quantify target mtDNA and indicates that dPCR and ddPCR are the preferred methods when working with samples with low abundance of mtDNA.

Indexed as

DNA Copy Number VariationsDNA, MitochondrialPolymerase Chain ReactionReal-Time Polymerase Chain ReactionSongbirdsSpermatozoaAnimalsMaleReproducibility of ResultsDNA, MitochondrialddPCRdPCRmtDNAqPCRQuantificationSongbirdsSpermatozoa

Identifiers

PMID40231068
PMCPMC11995889

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Registered trials

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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.