Quantitative prediction of disinfectant tolerance inListeria monocytogenesusing whole genome sequencing and machine learning DOI Creative Commons
Alexander Gmeiner, Mirena Ivanova, Patrick Murigu Kamau Njage

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 6, 2023

ABSTRACT Listeria monocytogenes is a potentially severe disease-causing bacteria mainly transmitted through food. This pathogen of great concern for public health and the food industry in particular. Many countries have implemented thorough regulations, some even set ‘zero-tolerance’ thresholds particular products to minimise risk L. outbreaks. emphasises that proper sanitation processing plants utmost importance. Consequently recent years, there has been an increased interest tolerance disinfectants used industry. Even though many studies are focusing on laboratory quantification tolerance, possibility predictive models remains poorly studied. Within this study, we explore prediction minimum inhibitory concentrations (MIC) using whole genome sequencing (WGS) machine learning (ML). We WGS data MIC values quaternary ammonium compound (QAC) from 1649 isolates train different ML predictors. Our study shows promising results predicting QAC learning. were able high-performing classifiers predict with balanced accuracy scores up 0.97±0.02. For values, regressors mean squared error as low 0.07±0.02. also identified several new genes related cell wall anchor domains, plasmids, phages, putatively associated disinfectant . The findings first step towards In future, might be monitor production support conceptualisation more nuanced programs. AUTHOR SUMMARY Microbial contamination challenges safety by transmitting harmful microbes such consumers. example bacteria, which primarily can cause diseases at-risk groups. Fortunately, strict regulations stringent cleaning protocols place prevent transmission However, increase industry, reduce their effectiveness. phenotypic accurately whether individual tolerant selected disinfectants. not only distinguish sensitive/tolerant but degrees Further, report important could give information about possible mechanisms. similar guide disinfection facilitate maximum

Language: Английский

Biofilm formation by Listeria monocytogenes from the meat processing industry environment and the use of different combinations of detergents, sanitizers, and UV-A radiation to control this microorganism in planktonic and sessile forms DOI
Larissa Siqueira Lima,

Taís Nunzio Müller,

Rafaela Ansiliero

et al.

Brazilian Journal of Microbiology, Journal Year: 2024, Volume and Issue: 55(3), P. 2483 - 2499

Published: May 20, 2024

Language: Английский

Citations

1
Macrolide resistance outcomes after the Covid-19 pandemic: A one health approach investigation DOI Open Access

Sarah O Rodrigues,

F Santiago,

Monique S Silva

et al.

Biomedicine & Pharmacotherapy, Journal Year: 2024, Volume and Issue: 180, P. 117437 - 117437

Published: Sept. 19, 2024

Language: Английский

Citations

1
Analysis of Sanitizer Rotation on the Susceptibility, Biofilm Forming Ability and Caco-2 Cell Adhesion and Invasion of Listeria DOI Creative Commons

Md. Asfakur Rahman,

Nirakar Sahoo,

Veerachandra K. Yemmireddy

et al.

Pathogens, Journal Year: 2022, Volume and Issue: 11(9), P. 961 - 961

Published: Aug. 24, 2022

The purpose of this study was to determine the effect sanitizer use conditions on susceptibility, biofilm forming ability and pathogenicity Listeria monocytogenes. Two different strains L. monocytogenes a non-pathogenic innocua were exposed sodium hypochlorite, benzalkonium chloride peroxyacetic acid at concentrations (4 512 ppm) treatment times (30 s 5 min), respectively. Under tested conditions, no significant difference (p > 0.05) in reduction observed among three sanitizers. A 1 8 log CFU/mL depending upon concentration times. survived cells highest sublethal time particular re-exposure same or showed either change increased susceptibility when compared parent strains. Upon repeated exposure sanitizers progressively increasing from 128 ppm, able survive up 32 ppm 64 treatments, At sub-lethal concentrations, formation Caco-2 interaction with invasion

Language: Английский

Citations

7
Integrative Assessment of Reduced Listeria monocytogenes Susceptibility to Benzalkonium Chloride in Produce Processing Environments DOI
Yingshu He, Tongzhou Xu, Shaoting Li

et al.

Applied and Environmental Microbiology, Journal Year: 2022, Volume and Issue: 88(21)

Published: Oct. 13, 2022

Our study demonstrates an integrative approach to improve food safety assessment and control strategies in processing environments through the collective leveraging of genomic surveys, laboratory assays, facility sampling. In example assessing reduced Listeria susceptibility a widely used sanitizer, this yielded multifaceted evidence that incorporates population genetic signals, experimental findings, real-world constraints help address lasting debate policy practical importance.

Language: Английский

Citations

6
Quantitative prediction of disinfectant tolerance inListeria monocytogenesusing whole genome sequencing and machine learning DOI Creative Commons
Alexander Gmeiner, Mirena Ivanova, Patrick Murigu Kamau Njage

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 6, 2023

ABSTRACT Listeria monocytogenes is a potentially severe disease-causing bacteria mainly transmitted through food. This pathogen of great concern for public health and the food industry in particular. Many countries have implemented thorough regulations, some even set ‘zero-tolerance’ thresholds particular products to minimise risk L. outbreaks. emphasises that proper sanitation processing plants utmost importance. Consequently recent years, there has been an increased interest tolerance disinfectants used industry. Even though many studies are focusing on laboratory quantification tolerance, possibility predictive models remains poorly studied. Within this study, we explore prediction minimum inhibitory concentrations (MIC) using whole genome sequencing (WGS) machine learning (ML). We WGS data MIC values quaternary ammonium compound (QAC) from 1649 isolates train different ML predictors. Our study shows promising results predicting QAC learning. were able high-performing classifiers predict with balanced accuracy scores up 0.97±0.02. For values, regressors mean squared error as low 0.07±0.02. also identified several new genes related cell wall anchor domains, plasmids, phages, putatively associated disinfectant . The findings first step towards In future, might be monitor production support conceptualisation more nuanced programs. AUTHOR SUMMARY Microbial contamination challenges safety by transmitting harmful microbes such consumers. example bacteria, which primarily can cause diseases at-risk groups. Fortunately, strict regulations stringent cleaning protocols place prevent transmission However, increase industry, reduce their effectiveness. phenotypic accurately whether individual tolerant selected disinfectants. not only distinguish sensitive/tolerant but degrees Further, report important could give information about possible mechanisms. similar guide disinfection facilitate maximum

Language: Английский

Citations

2