Evidence map›Paper›PMID 30140271›Full record

ArticleFrontiers in plant science2018

Real-Time PCR for Diagnosing and Quantifying Co-infection by Two Globally Distributed Fungal Pathogens of Wheat.

Araz S Abdullah, Chala Turo, Caroline S Moffat, Francisco J Lopez-Ruiz, Mark R Gibberd, John Hamblin, Ayalsew Zerihun

Abstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Development of a Method for Detecting and EstimatingJournal of fungi (Basel, Switzerland) · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Simultaneous Quantification ofPathogens (Basel, Switzerland) · 2020
    Article
  11. Recent Advances in Molecular Diagnostics of Fungal Plant Pathogens: A Mini Review.Frontiers in cellular and infection microbiology · 2020
    Review
  12. 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.

Araz S AbdullahCentre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
Chala TuroCentre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
Caroline S MoffatCentre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
Francisco J Lopez-RuizCentre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
Mark R GibberdCentre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
John HamblinInstitute of Agriculture, University of Western Australia, Crawley, WA, Australia.
Ayalsew ZerihunCentre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Co-infections - invasions of a host-plant by multiple pathogen species or strains - are common, and are thought to have consequences for pathogen ecology and evolution. Despite their apparent significance, co-infections have received limited attention; in part due to lack of suitable quantitative tools for monitoring of co-infecting pathogens. Here, we report on a duplex real-time PCR assay that simultaneously distinguishes and quantifies co-infections by two globally important fungal pathogens of wheat:

Indexed as

co-infectionshydrolysis probesmolecular disease diagnosispathogen interactionsqPCR

Identifiers

PMID30140271
PMCPMC6095046

What OpenQuestion holds

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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.