Evidence map›Paper›PMID 33467169›Full record

ReviewMicroorganisms2021

Metagenomics Approaches for the Detection and Surveillance of Emerging and Recurrent Plant Pathogens.

Edoardo Piombo, Ahmed Abdelfattah, Samir Droby, Michael Wisniewski, Davide Spadaro, Leonardo Schena

Abstract readReview
In one paragraph

Review in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Genomic insights intoMicrobiology spectrum · 2026
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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

6 authors.

Edoardo PiomboDepartment of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, 10095 Grugliasco, Italy.ORCID 0000-0003-2830-1967
Ahmed AbdelfattahInstitute of Environmental Biotechnology, Graz University of Technology, Petersgasse 12, 8010 Graz, Austria.ORCID 0000-0001-6090-7200
Samir DrobyDepartment of Postharvest Science, Agricultural Research Organization (ARO), The Volcani Center, Rishon LeZion 7505101, Israel.
Michael WisniewskiU.S. Department of Agriculture-Agricultural Research Service (USDA-ARS), Kearneysville, WV 25430, USA.
Davide SpadaroDepartment of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, 10095 Grugliasco, Italy.ORCID 0000-0001-5207-9345
Leonardo SchenaDepartment of Agriculture, Università Mediterranea, 89122 Reggio Calabria, Italy.ORCID 0000-0002-9737-2593

Funding

European Institute of Innovation and Technology - EITFood CLEANFRUIT - Standardization of innovative pest control strategies to produce zero residue fruit for baby food and other fruit produceFondazione Cassa di Risparmio di Cuneo SMART APPLE - Innovative and SMART technologies for sustainable APPLE productionItalian Ministry for Education, University and Research A gnotobiotic-based approach to unravel the role of the plant microbiome and develop synthetic communities increasing plant growth and stress tolerance - NATURE
6 · The paper itself

Abstract

Globalization has a dramatic effect on the trade and movement of seeds, fruits and vegetables, with a corresponding increase in economic losses caused by the introduction of transboundary plant pathogens. Current diagnostic techniques provide a useful and precise tool to enact surveillance protocols regarding specific organisms, but this approach is strictly targeted, while metabarcoding and shotgun metagenomics could be used to simultaneously detect all known pathogens and potentially new ones. This review aims to present the current status of high-throughput sequencing (HTS) diagnostics of fungal and bacterial plant pathogens, discuss the challenges that need to be addressed, and provide direction for the development of methods for the detection of a restricted number of related taxa (specific surveillance) or all of the microorganisms present in a sample (general surveillance). HTS techniques, particularly metabarcoding, could be useful for the surveillance of soilborne, seedborne and airborne pathogens, as well as for identifying new pathogens and determining the origin of outbreaks. Metabarcoding and shotgun metagenomics still suffer from low precision, but this issue can be limited by carefully choosing primers and bioinformatic algorithms. Advances in bioinformatics will greatly accelerate the use of metagenomics to address critical aspects related to the detection and surveillance of plant pathogens in plant material and foodstuffs.

Indexed as

detectionmetabarcodingmetagenomicsplant pathogenssurveillance

Identifiers

PMID33467169
PMCPMC7830299

What OpenQuestion holds

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LicenceCC BY
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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.