S Shayanfar1, A Broumand2, S D Pillai1. 1. Department of Nutrition and Food Science, National Center for Electron Beam Research, IAEA Collaborating Centre for Electron Beam Technology, Texas A&M University, College Station, TX, USA. 2. Genomic Signal Processing Lab, Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.
Abstract
AIMS: Acid exposure induces accumulation of certain metabolites in bacteria. The experimental objective was to identify the primary metabolites accumulating in Escherichia coli O26:H11 as a function of acid (pH 3·6) exposure. METHODS AND RESULTS: Different buffers of pH 7·5 and 3·6 were used to study the metabolites accumulating in E. coli O26:H11 cells during such pH exposure. After 24 h of acid exposure, there was a 7-log decline in E. coli populations on trypticase soy agar plates. Untargeted metabolomic analysis identified 293 primary metabolites of which 145 metabolites were differentially (P < 0·01) accumulating between pH 7·5 and 3·6 in E. coli O26:H11. CONCLUSIONS: After 24 h of acid exposure, 21 different metabolic pathways appeared to be functional, suggesting that the cells were still metabolically active. Among the identifiable pathways, the key differentially expressed pathways were associated with peptidoglycan biosynthesis, purine metabolism, d-Glutamine/d-glutamate metabolism, nitrogen metabolism, unsaturated fatty acid biosynthesis and inositol phosphate metabolism. SIGNIFICANCE AND IMPACT OF THE STUDY: Shiga toxin producing non-O157 E. coli strains such as E. coli O26 are responsible for a growing number of food-related illnesses in the United States and around the world. From food production to consumption, micro-organisms in foods experience dramatic pH fluctuations by organic acids introduced either during food processing or by inorganic acids in the stomach. Acid exposure induces specific metabolite accumulation in bacterial cells. Understanding the survival mechanisms of pathogenic micro-organisms by studying the metabolome would be helpful in introducing effective hurdles and thus ensuring food safety. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.
AIMS: Acid exposure induces accumulation of certain metabolites in bacteria. The experimental objective was to identify the primary metabolites accumulating in Escherichia coli O26:H11 as a function of acid (pH 3·6) exposure. METHODS AND RESULTS: Different buffers of pH 7·5 and 3·6 were used to study the metabolites accumulating in E. coli O26:H11 cells during such pH exposure. After 24 h of acid exposure, there was a 7-log decline in E. coli populations on trypticase soy agar plates. Untargeted metabolomic analysis identified 293 primary metabolites of which 145 metabolites were differentially (P < 0·01) accumulating between pH 7·5 and 3·6 in E. coli O26:H11. CONCLUSIONS: After 24 h of acid exposure, 21 different metabolic pathways appeared to be functional, suggesting that the cells were still metabolically active. Among the identifiable pathways, the key differentially expressed pathways were associated with peptidoglycan biosynthesis, purine metabolism, d-Glutamine/d-glutamate metabolism, nitrogen metabolism, unsaturated fatty acid biosynthesis and inositol phosphate metabolism. SIGNIFICANCE AND IMPACT OF THE STUDY: Shiga toxin producing non-O157 E. coli strains such as E. coli O26 are responsible for a growing number of food-related illnesses in the United States and around the world. From food production to consumption, micro-organisms in foods experience dramatic pH fluctuations by organic acids introduced either during food processing or by inorganic acids in the stomach. Acid exposure induces specific metabolite accumulation in bacterial cells. Understanding the survival mechanisms of pathogenic micro-organisms by studying the metabolome would be helpful in introducing effective hurdles and thus ensuring food safety. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.
Entities:
Keywords:
zzm321990STECzzm321990; E. coli O26:H11; acid stress; biomarkers; metabolome; metabolomics
Authors: Jorge A de la Garza-García; Safia Ouahrani-Bettache; Sébastien Lyonnais; Erika Ornelas-Eusebio; Luca Freddi; Sascha Al Dahouk; Alessandra Occhialini; Stephan Köhler Journal: Front Microbiol Date: 2021-12-13 Impact factor: 5.640