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March 13, 2026SHILAP Revista de lepidopterologíaOpen Access

Integrated analysis of MALDI-TOF MS and whole-genome sequencing for subtyping Salmonella

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Authors

YLYuanshan LiuCenter for Disease ControlJQJianjian QiaoCenter for Disease ControlYXYao XiaoCapital Medical University

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Overview

Integrated analysis characterizes Salmonella isolates, highlighting efficiencies in downstream genomic investigation.

Key Points

  • This research aims to combine MALDI-TOF MS and whole-genome sequencing to improve the subtyping of Salmonella.
  • Collected 96 Salmonella isolates from Yixing, Jiangsu Province, China.
  • Conducted serotyping and multilocus sequence typing (MLST) analysis to resolve serovars and sequence types.
  • Utilized machine learning to analyze spectral features and correlate them with genomic data.
  • Identified 25 serovars and 21 sequence types among analyzed isolates.
  • Machine learning models achieved AUC values exceeding 0.90 for several Salmonella types.
  • Discriminatory mass peaks correlated with genomic features, serving as statistical indicators for subtyping.

Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/69b3aaa802a1e69014ccb640https://doi.org/10.3389/fmicb.2026.1782552
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