MALDI-TOF MS technique as a new approach for simultaneous detection and differentiation of potato virus Y strains

Due to high variability, potato virus Y (PVY) is an excellent model for developing new virus detection and strain differentiation methods. We present a pioneering assessment using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) to identify three predominant strains of PVY: PVY<sup>O</sup>, PVY<sup>NTN</sup>, and PVY<sup>N-Wi</sup>. We prepared and characterized the genomic, protein, and whole-virus samples. MALDI analysis yielded distinct spectral signatures for each strain, enabling identification. The protein extracts analyzed in the LP 2-20 kDa mode showed the highest spectral richness for N-Wi and O strains, with significant statistical differentiation (p < 0.05) across specific m/z values. RT-qPCR linear detection ranged from 6000 to 0.6 pg of viral RNA. MALDI-TOF MS identified the PVY strains down to 0.001 mg/mL. The Principal Component Analysis outcomes highlighted the distinct clustering of PVY strains based on their MALDI-TOF spectra, with a 45% laser power setting emerging as optimal for balancing the spectral quality across strains. Mann-Whitney U-test comparisons of ion intensity distributions reinforced MALDI's discriminative accuracy, revealing statistically significant (p < 0.05) ion signals unique to each strain. Our study steps forward in applying MALDI-TOF MS for simultaneous viral strain detection and identification.

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Publication Details

Journal
Scientific Reports
Published
2025-08-15
DOI
https://doi.org/10.1038/s41598-025-15901-0
Citations
1
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
1.32

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article

MALDI-TOF MS technique as a new approach for simultaneous detection and differentiation of potato virus Y strains

Paweł Pomastowski, Krzysztof Treder, Paulina Dederko, Krzysztof Zienkiewicz et al.
1 citations
Scientific Reports
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article

MALDI-TOF MS technique as a new approach for simultaneous detection and differentiation of potato virus Y strains

Paweł Pomastowski, Krzysztof Treder, Paulina Dederko, Krzysztof Zienkiewicz, Justyna Walczak‐Skierska, Fernanda Monedeiro, Agnieszka Zienkiewicz, Agnieszka Ludwiczak, Rudi van Eldik
article en
1 citations

Abstract

Due to high variability, potato virus Y (PVY) is an excellent model for developing new virus detection and strain differentiation methods. We present a pioneering assessment using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) to identify three predominant strains of PVY: PVY<sup>O</sup>, PVY<sup>NTN</sup>, and PVY<sup>N-Wi</sup>. We prepared and characterized the genomic, protein, and whole-virus samples. MALDI analysis yielded distinct spectral signatures for each strain, enabling identification. The protein extracts analyzed in the LP 2-20 kDa mode showed the highest spectral richness for N-Wi and O strains, with significant statistical differentiation (p < 0.05) across specific m/z values. RT-qPCR linear detection ranged from 6000 to 0.6 pg of viral RNA. MALDI-TOF MS identified the PVY strains down to 0.001 mg/mL. The Principal Component Analysis outcomes highlighted the distinct clustering of PVY strains based on their MALDI-TOF spectra, with a 45% laser power setting emerging as optimal for balancing the spectral quality across strains. Mann-Whitney U-test comparisons of ion intensity distributions reinforced MALDI's discriminative accuracy, revealing statistically significant (p < 0.05) ion signals unique to each strain. Our study steps forward in applying MALDI-TOF MS for simultaneous viral strain detection and identification.

Scientific ReportsVol. 15(1)
Universidade de São Paulo (BR), Nicolaus Copernicus University (PL), Plant Breeding and Acclimatization Institute - National Research Institute (PL)
European Commission, Fundacja na rzecz Nauki Polskiej, European Regional Development Fund
Reduced inequalities
Openalex Percentile: Top 16%
Bacterial Identification and Susceptibility Testing
1.32
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