Training in the use of bioinformatics platforms in the framework of foodborne disease control

• Autores: Aitor Atxaerandio Landa
• Directores de la Tesis: Ilargi Martínez Ballesteros (codir. tes.), Javier Garaizar Candina (codir. tes.)
• Lectura: En la Universidad del País Vasco - Euskal Herriko Unibertsitatea ( España ) en 2024
• Idioma: inglés
• Número de páginas: 330
• Títulos paralelos:
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• Enlaces
  • Tesis en acceso abierto en: ADDI
• Resumen

  • Bacterial foodborne pathogens represent a significant concern for food industry and public health due to theconsiderable number of outbreaks and illnesses they cause. Moreover, the emergence of antimicrobial resistance(AMR) bacteria increases the risk of infection and disease. For that reason, their epidemiological surveillance isfundamental, being crucial to identify and detect bacterial pathogens promptly and effectively. The advent of wholegenome sequencing (WGS) has led to a significant change in the methodology and the outcomes of epidemiologicalinvestigations, providing an unprecedented resolution power, high throughput, high speed and low cost per sample.However, several drawbacks such as the need for a certain level of computational expertise hinder it¿s use andimplementation. This thesis was carried out to address this problem through training in the use of bioinformaticsplatforms in the framework of foodborne disease control. For this purpose, WGS was applied in different studies toassess the advantages and disadvantages of its use. WGS was evaluated for outbreak analysis, epidemiologicalstudies and for AMR surveillance focused in different foodborne pathogens. The results of this thesis demonstrate thesignificant utility and potential of whole genome sequencing in enhancing the productivity and discriminatory powercompared to conventional methods. This may be the initial step towards integrating whole genome sequencing forroutine use in laboratories and public health systems, with the ultimate goal of ensuring food safety.