<p>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&#xa0;kDa mode showed the highest spectral richness for N-Wi and O strains, with significant statistical differentiation (<i>p</i> &lt; 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&#xa0;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 (<i>p</i> &lt; 0.05) ion signals unique to each strain. Our study steps forward in applying MALDI-TOF MS for simultaneous viral strain detection and identification.</p>

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

  • Paulina Dederko,
  • Fernanda Monedeiro,
  • Justyna Walczak-Skierska,
  • Agnieszka Ludwiczak,
  • Agnieszka Zienkiewicz,
  • Krzysztof Zienkiewicz,
  • Rudi van Eldik,
  • Krzysztof Treder,
  • Paweł Piotr Pomastowski

摘要

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: PVYO, PVYNTN, and PVYN−Wi. 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.