Non-Invasive Characterization of Single-, Double- and Triple-Viral Diseases of Wheat With a Hand-Held Raman Spectrometer.

Raman spectroscopy Triticum aestivum coinfection disease detection virus wheat

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2020
Historique:
received: 30 04 2020
accepted: 11 08 2020
entrez: 5 10 2020
pubmed: 6 10 2020
medline: 6 10 2020
Statut: epublish

Résumé

Plant diseases can reduce crop yield by up to 100%. Therefore, timely and confirmatory diagnosis of plant diseases is strongly desired. Typical pathogen assaying methods include polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA). These approaches are quite useful but are also time-consuming and destructive to the sample. Raman spectroscopy (RS) is a modern analytical technique that enables non-invasive plant disease detection. In this study, we report on Raman-based detection of wheat diseases caused by wheat streak mosaic virus (WSMV) and barley yellow dwarf virus (BYDV). Our results show that RS can be used to differentiate between healthy wheat and wheat infected by these two viruses. We also show that RS can be used to identify whether wheat is infected by these individual viruses or by a combination of WSMV and BYDV, as well as WSMV, BYDV, and Triticum mosaic virus (TriMV). We found that wheat spectra showed non-linear spectroscopic responses to coinfection by different viruses. These results suggest that RS can be used to probe pathogen-specific changes in plant metabolism. The portable nature of this approach opens the possibility of RS directly in the field for confirmatory diagnostics of viral diseases.

Identifiants

pubmed: 33013951
doi: 10.3389/fpls.2020.01300
pmc: PMC7495046
doi:

Types de publication

Journal Article

Langues

eng

Pagination

01300

Informations de copyright

Copyright © 2020 Farber, Bryan, Paetzold, Rush and Kurouski.

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Auteurs

Charles Farber (C)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.

Rebecca Bryan (R)

Department of Plant Pathology, Texas A&M AgriLife Research and Extension Center at Amarillo, Amarillo, TX, United States.

Li Paetzold (L)

Department of Plant Pathology, Texas A&M AgriLife Research and Extension Center at Amarillo, Amarillo, TX, United States.

Charles Rush (C)

Department of Plant Pathology, Texas A&M AgriLife Research and Extension Center at Amarillo, Amarillo, TX, United States.

Dmitry Kurouski (D)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.
The Institute for Quantum Science and Engineering, Texas A&M University, College Station, TX, United States.

Classifications MeSH