The Application of MALDI-TOF MS for a Variability Study of Paenibacillus larvae .
Anna KopcakovaSlavomira SalamunovaPeter JavorskyRastislav SaboJaroslav LegathSilvia IvorovaMaria PiknovaPeter PristasPublished in: Veterinary sciences (2022)
In recent decades, the significant deterioration of the health status of honey bees has been observed throughout the world. One of the most severe factors affecting the health of bee colonies worldwide is American foulbrood disease. This devastating disease, with no known cure, is caused by the Gram-positive spore-forming bacteria of Paenibacillus larvae species. At present, DNA-based methods are being used for P. larvae identification and typing. In our study, we compare two of the most advanced DNA-based technologies (rep-PCR and 16S rRNA analyses) with MALDI-TOF MS fingerprinting to evaluate P. larvae variability in Central Europe. While 16S rRNA analysis presents a very limited variation among the strains, MALDI-TOF MS is observed to be more efficient at differentiating P. larvae . Remarkably, no clear correlation is observed between whole-genome rep-PCR fingerprinting and MALDI-TOF MS-based typing. Our data indicate that MALDI-TOF protein profiling provides accurate and cost-effective methods for the rapid identification of P. larvae strains and provides novel perspectives on strain diversity compared to conventional DNA-based genotyping approaches. The current study provides a good foundation for future studies.
Keyphrases
- mass spectrometry
- aedes aegypti
- healthcare
- circulating tumor
- public health
- drosophila melanogaster
- single molecule
- escherichia coli
- high throughput
- high resolution
- ms ms
- magnetic resonance imaging
- machine learning
- risk assessment
- multidrug resistant
- genome wide
- electronic health record
- big data
- current status
- gram negative
- health information