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Construction of Raman spectroscopic fingerprints for the detection of Fusarium wilt of banana in Taiwan

Banana (Musa sp.) is cultivated worldwide and is one of the most popular fruits. The soil-borne fungal disease Fusarium wilt of banana (FWB), commonly known as Panama disease, is caused by Fusarium oxysporum f. sp. cubense (Foc) and is a highly lethal vascular fungal disease in banana plants. Raman...

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Autores principales: Lin, Yi-Jia, Lin, Hsuan-Kai, Lin, Ying-Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075571/
https://www.ncbi.nlm.nih.gov/pubmed/32176731
http://dx.doi.org/10.1371/journal.pone.0230330
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author Lin, Yi-Jia
Lin, Hsuan-Kai
Lin, Ying-Hong
author_facet Lin, Yi-Jia
Lin, Hsuan-Kai
Lin, Ying-Hong
author_sort Lin, Yi-Jia
collection PubMed
description Banana (Musa sp.) is cultivated worldwide and is one of the most popular fruits. The soil-borne fungal disease Fusarium wilt of banana (FWB), commonly known as Panama disease, is caused by Fusarium oxysporum f. sp. cubense (Foc) and is a highly lethal vascular fungal disease in banana plants. Raman spectroscopy, an emerging laser-based technology based on Raman scattering, has been used for the qualitative characterization of biological tissues such as foodborne pathogens, cancer cells, and melamine. In this study, we describe a Raman spectroscopic technique that could potentially be used as a method for diagnosing FWB. To that end, the Raman fingerprints of Foc (including mycelia and conidia) and Foc-infected banana pseudostems with varying levels of symptoms were determined. Our results showed that eight, eleven, and eleven characteristic surface-enhanced Raman spectroscopy peaks were observed in the mycelia, microconidia, and macroconidia of Foc, respectively. In addition, we constructed the Raman spectroscopic fingerprints of banana pseudostem samples with varying levels of symptoms in order to be able to differentiate Foc-infected bananas from healthy bananas. The rate at which FWB was detected in asymptomatic Foc-infected samples by using the spectral method was 76.2%, which was comparable to the rates previously reported for other FWB detection methods based on real-time PCR assays, suggesting that the spectral method described herein could potentially serve as an alternative tool for detecting FWB in fields. As such, we hope that the developed spectral method will open up new possibilities for the on-site diagnosis of FWB.
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spelling pubmed-70755712020-03-23 Construction of Raman spectroscopic fingerprints for the detection of Fusarium wilt of banana in Taiwan Lin, Yi-Jia Lin, Hsuan-Kai Lin, Ying-Hong PLoS One Research Article Banana (Musa sp.) is cultivated worldwide and is one of the most popular fruits. The soil-borne fungal disease Fusarium wilt of banana (FWB), commonly known as Panama disease, is caused by Fusarium oxysporum f. sp. cubense (Foc) and is a highly lethal vascular fungal disease in banana plants. Raman spectroscopy, an emerging laser-based technology based on Raman scattering, has been used for the qualitative characterization of biological tissues such as foodborne pathogens, cancer cells, and melamine. In this study, we describe a Raman spectroscopic technique that could potentially be used as a method for diagnosing FWB. To that end, the Raman fingerprints of Foc (including mycelia and conidia) and Foc-infected banana pseudostems with varying levels of symptoms were determined. Our results showed that eight, eleven, and eleven characteristic surface-enhanced Raman spectroscopy peaks were observed in the mycelia, microconidia, and macroconidia of Foc, respectively. In addition, we constructed the Raman spectroscopic fingerprints of banana pseudostem samples with varying levels of symptoms in order to be able to differentiate Foc-infected bananas from healthy bananas. The rate at which FWB was detected in asymptomatic Foc-infected samples by using the spectral method was 76.2%, which was comparable to the rates previously reported for other FWB detection methods based on real-time PCR assays, suggesting that the spectral method described herein could potentially serve as an alternative tool for detecting FWB in fields. As such, we hope that the developed spectral method will open up new possibilities for the on-site diagnosis of FWB. Public Library of Science 2020-03-16 /pmc/articles/PMC7075571/ /pubmed/32176731 http://dx.doi.org/10.1371/journal.pone.0230330 Text en © 2020 Lin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lin, Yi-Jia
Lin, Hsuan-Kai
Lin, Ying-Hong
Construction of Raman spectroscopic fingerprints for the detection of Fusarium wilt of banana in Taiwan
title Construction of Raman spectroscopic fingerprints for the detection of Fusarium wilt of banana in Taiwan
title_full Construction of Raman spectroscopic fingerprints for the detection of Fusarium wilt of banana in Taiwan
title_fullStr Construction of Raman spectroscopic fingerprints for the detection of Fusarium wilt of banana in Taiwan
title_full_unstemmed Construction of Raman spectroscopic fingerprints for the detection of Fusarium wilt of banana in Taiwan
title_short Construction of Raman spectroscopic fingerprints for the detection of Fusarium wilt of banana in Taiwan
title_sort construction of raman spectroscopic fingerprints for the detection of fusarium wilt of banana in taiwan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075571/
https://www.ncbi.nlm.nih.gov/pubmed/32176731
http://dx.doi.org/10.1371/journal.pone.0230330
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