A comprehensive investigation of protein expression profiles in L. monocytogenes exposed to thermal abuse, mild acid, and salt stress conditions

Frontiers in Microbiology

Microbiology

Antonello Paparella¹  Maria Schirone¹  Federica D'Onofrio²  Mirella Luciani³  Luigi Iannetti³  Manuela Tittarelli³  Marina Torresi³  Nicola D'Alterio³  Francesco Pomilio³  Ivanka Krasteva³ 

[1] Department of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy;Department of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy;Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise “G. Caporale”, Teramo, Italy;Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise “G. Caporale”, Teramo, Italy;

关键词: Listeria monocytogenes;    proteome;    bioinformatic;    STRING database;    stressors;    pathogen;    virulence;   

DOI  :  10.3389/fmicb.2023.1271787

 received in 2023-08-02, accepted in 2023-09-19,  发布年份 2023

来源: Frontiers

【 摘 要 】

Preventing L. monocytogenes infection is crucial for food safety, considering its widespread presence in the environment and its association with contaminated RTE foods. The pathogen's ability to persist under adverse conditions, for example, in food processing facilities, is linked to virulence and resistance mechanisms, including biofilm formation. In this study, the protein expression patterns of two L. monocytogenes 1/2a strains, grown under environmental stressors (mild acidic pH, thermal abuse, and high concentration of NaCl), were investigated. Protein identification and prediction were performed by nLC-ESI-MS/MS and nine different bioinformatic software programs, respectively. Gene enrichment analysis was carried out by STRING v11.05. A total of 1,215 proteins were identified, of which 335 were non-cytosolic proteins and 265 were immunogenic proteins. Proteomic analysis revealed differences in protein expression between L. monocytogenes strains in stressful conditions. The two strains exhibited unique protein expression profiles linked to stress response, virulence, and pathogenesis. Studying the proteomic profiles of such microorganisms provides information about adaptation and potential treatments, highlighting their genetic diversity and demonstrating the utility of bioinformatics and proteomics for a broader analysis of pathogens.

【 授权许可】

Unknown   
Copyright © 2023 D'Onofrio, Schirone, Krasteva, Tittarelli, Iannetti, Pomilio, Torresi, Paparella, D'Alterio and Luciani.