Evidence map›Paper›PMID 29304036›Full record

ArticlePloS one2018

A novel molecular toolkit for rapid detection of the pathogen and primary vector of thousand cankers disease.

Emel Oren, William Klingeman, Romina Gazis, John Moulton, Paris Lambdin, Mark Coggeshall, Jiri Hulcr, Steven J Seybold, Denita Hadziabdic

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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
3.5field-weighted citation impact, top 8% of its field
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, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Rapid Detection ofPlants (Basel, Switzerland) · 2021
    Article
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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

9 authors at 3 institutions in 1 country.

Emel OrenDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States of America.
William KlingemanDepartment of Plant Sciences, University of Tennessee, Knoxville, TN, United States of America.
Romina GazisDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States of America.
John MoultonDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States of America.
Paris LambdinDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States of America.
Mark CoggeshallUSDA Forest Service, West Lafayette, IN, United States of America.
Jiri HulcrSchool of Forest Resources and Conservation, University of Florida, Gainesville, FL, United States of America.
Steven J SeyboldUSDA Forest Service, Davis, CA, United States of America.
Denita HadziabdicDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States of America.ORCID 0000-0003-1991-2563
University of Tennessee at Knoxville · USUS Forest Service · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thousand Cankers Disease (TCD) of Juglans and Pterocarya (Juglandaceae) involves a fungal pathogen, Geosmithia morbida, and a primary insect vector, Pityophthorus juglandis. TCD was described originally from dying Juglans nigra trees in the western United States (USA), but it was reported subsequently from the eastern USA and northern Italy. The disease is often difficult to diagnose due to the absence of symptoms or signs on the bark surface of the host. Furthermore, disease symptoms can be confused with those caused by other biotic and abiotic agents. Thus, there is a critical need for a method for rapid detection of the pathogen and vector of TCD. Using species-specific microsatellite DNA markers, we developed a molecular protocol for the detection of G. morbida and P. juglandis. To demonstrate the utility of the method for delineating TCD quarantine zones, we tested whether geographical occurrence of symptoms and signs of TCD was correlated with molecular evidence for the presence of the cryptic TCD organisms. A total of 1600 drill cores were taken from branch sections collected from three regions (n = 40 trees for each location): California-J. hindsii (heavy disease incidence); Tennessee-J. nigra (mild disease incidence); and outside the known TCD zone (Missouri-J. nigra, no record of the disease). California samples had the highest incidence of the TCD organisms (85%, 34/40). Tennessee had intermediate incidence (42.5%, 17/40), whereas neither organism was detected in samples from Missouri. The low cost molecular protocol developed here has a high degree of sensitivity and specificity, and it significantly reduces sample-processing time, making the protocol a powerful tool for rapid detection of TCD.

Indexed as

AnimalsCaliforniaDNA, FungalGenetic TechniquesHypocrealesInsect VectorsJuglansMicrosatellite RepeatsMissouriPlant DiseasesSpecies SpecificityTennesseeWeevilsDNA, Fungal

Identifiers

PMID29304036
PMCPMC5755734
OpenAlexW2781690240

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.