Raman spectroscopy as an early detection tool for rose rosette infection.


Journal

Planta
ISSN: 1432-2048
Titre abrégé: Planta
Pays: Germany
ID NLM: 1250576

Informations de publication

Date de publication:
Oct 2019
Historique:
received: 30 05 2019
accepted: 15 06 2019
pubmed: 22 6 2019
medline: 18 12 2019
entrez: 22 6 2019
Statut: ppublish

Résumé

Hand-held Raman spectroscopy is a potential tool for a confirmatory, non-invasive, and non-destructive detection and identification of rose rosette disease. Using this spectroscopic approach, structural changes in roses that are associated with this viral infection can be revealed. The commercial rose shrub industry in the United States is one of the largest of its kind. All commercial rose varieties are susceptible to rose rosette disease (RRD), a deadly viral disease vectored by eriophyid mites. This disease is typically diagnosed visually and/or by PCR-based detection assays. The present work demonstrates that Raman spectroscopy can detect RRD in intact leaf tissue. It is shown that chemometric analysis can distinguish between spectra collected from symptomatic and asymptomatic tissue, as well as between healthy and asymptomatic tissue. This method will be useful as an initial screen for RRD prior to PCR analysis to help conserve reagents and save time.

Identifiants

pubmed: 31222494
doi: 10.1007/s00425-019-03216-0
pii: 10.1007/s00425-019-03216-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1247-1254

Subventions

Organisme : Governor's University Research Initiative (GURI) grant program of Texas A&M
ID : 12-2016 M1700437

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Auteurs

Charles Farber (C)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA.

Madalyn Shires (M)

Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.

Kevin Ong (K)

Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.

David Byrne (D)

Department of Horticultural Sciences, Texas A&M University, College Station, TX, 77843, USA.

Dmitry Kurouski (D)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA. dkurouski@tamu.edu.
The Institute for Quantum Science and Engineering, Texas A&M University, College Station, TX, 77843, USA. dkurouski@tamu.edu.

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Classifications MeSH