A Review of Probe-Based Enrichment Methods to Inform Plant Virus Diagnostics.


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
30 Jul 2024
Historique:
received: 06 06 2024
revised: 20 07 2024
accepted: 28 07 2024
medline: 10 8 2024
pubmed: 10 8 2024
entrez: 10 8 2024
Statut: epublish

Résumé

Modern diagnostic techniques based on DNA sequence similarity are currently the gold standard for the detection of existing and emerging pathogens. Whilst individual assays are inexpensive to use, assay development is costly and carries risks of not being sensitive or specific enough to capture an increasingly diverse range of targets. Sequencing can provide the entire nucleic acid content of a sample and may be used to identify all pathogens present in the sample when the depth of coverage is sufficient. Targeted enrichment techniques have been used to increase sequence coverage and improve the sensitivity of detection within virus samples, specifically, to capture sequences for a range of different viruses or increase the number of reads from low-titre virus infections. Vertebrate viruses have been well characterised using in-solution hybridisation capture to target diverse virus families. The use of probes for genotyping and strain identification has been limited in plants, and uncertainty around sensitivity is an impediment to the development of a large-scale virus panel to use within regulatory settings and diagnostic pipelines. This review aims to compare significant studies that have used targeted enrichment of viruses to identify approaches to probe design and potential for use in plant virus detection and characterisation.

Identifiants

pubmed: 39125919
pii: ijms25158348
doi: 10.3390/ijms25158348
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Thomas Farrall (T)

Plant Innovation Centre, Australian Government, Department of Agriculture, Fisheries and Forestry (DAFF), Canberra, ACT 2601, Australia.
Forest Research Institute, School of Science, Technology and Engineering, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia.

Jeremy Brawner (J)

Forest Research Institute, School of Science, Technology and Engineering, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia.
Plant Pathology Department, University of Florida, Gainesville, FL 32611, USA.

Adrian Dinsdale (A)

Plant Innovation Centre, Australian Government, Department of Agriculture, Fisheries and Forestry (DAFF), Canberra, ACT 2601, Australia.

Monica Kehoe (M)

Diagnostic Laboratory Services, Biosecurity and Sustainability, Department of Primary Industries and Regional Development (DPIRD), Perth, WA 6151, Australia.

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Classifications MeSH