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

• Published in: PloS one 2020-03, Vol.15 (3), p.e0230330-e0230330
• Main Authors: Lin, Yi-Jia, Lin, Hsuan-Kai, Lin, Ying-Hong
• Format: Article
• Language: English
• Subjects: Bananas; Biology and Life Sciences; Cancer cells; Characterization; Conidia; Crop diseases; Cultivation; Deoxyribonucleic acid; Diseases; DNA; Epidemics; Fingerprints; Foodborne diseases; Foodborne pathogens; Fruit cultivation; Fungal diseases; Fungi; Fusarium oxysporum; Laser applications; Lasers; Medicine and Health Sciences; Melamine; Methods; Musaceae; Mycelia; Mycoses; Neomycin; Pathogenic microorganisms; Pathogens; Plant diseases; Qualitative analysis; Raman scattering; Raman spectra; Raman spectroscopy; Research and Analysis Methods; Signs and symptoms; Spectral methods; Spectroscopy; Spectrum analysis; Technology; Time; Tissues; Wilt
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0230330

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.