Evidence map›Paper›PMID 30598777›Full record

ArticleEcology and evolution2018

Conventional versus real-time quantitative PCR for rare species detection.

Zhiqiang Xia, Mattias L Johansson, Yangchun Gao, Lei Zhang, Gordon Douglas Haffner, Hugh J MacIsaac, Aibin Zhan

Abstract read
In one paragraph

Article in Ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Retrospective Molecular Detection and Characterization of PathogenicTropical medicine and infectious disease · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Development of a SYBR Green-Based Real-Time PCR Assay to DetectTropical medicine and infectious disease · 2025
    Article
  8. Article
  9. Detection and quantification of naturalFrontiers in cellular and infection microbiology · 2024
    Article
  10. Article
  11. First identification ofVeterinary world · 2022
    Article
  12. Article
  13. Insects · 2021
    Article
  14. Article
  15. 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

7 authors.

Zhiqiang XiaGreat Lakes Institute for Environmental Research University of Windsor Windsor Ontario Canada.ORCID 0000-0002-9201-1043
Mattias L JohanssonGreat Lakes Institute for Environmental Research University of Windsor Windsor Ontario Canada.ORCID 0000-0003-3042-750X
Yangchun GaoResearch Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing China.
Lei ZhangInternational S&T Collaborative Base for Water Environment Monitoring and Simulation in Three Gorges Reservoir Region Chongqing China.
Gordon Douglas HaffnerGreat Lakes Institute for Environmental Research University of Windsor Windsor Ontario Canada.
Hugh J MacIsaacGreat Lakes Institute for Environmental Research University of Windsor Windsor Ontario Canada.ORCID 0000-0001-7264-732X
Aibin ZhanResearch Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing China.ORCID 0000-0003-1416-1238

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of species in nature at very low abundance requires innovative methods. Conventional PCR (cPCR) and real-time quantitative PCR (qPCR) are two widely used approaches employed in environmental DNA (eDNA) detection, though lack of a comprehensive comparison of them impedes method selection. Here we test detection capacity and false negative rate of both approaches using samples with different expected complexities. We compared cPCR and qPCR to detect invasive, biofouling golden mussels (

Indexed as

eDNAenvironmental DNAfalse negativegolden musselqPCRrare species

Identifiers

PMID30598777
PMCPMC6303721

What OpenQuestion holds

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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.