Insights into Microbial Communities and Foodborne Pathogens in Food Samples from Kinta Valley, Perak, Malaysia through Metagenomic Analysis

Citation

Quek, Jerrald Jia Weai and Wong, Jun Leong and Tan, Joon Liang and Yeo, Chew Chieng and Saw, Seow Hoon (2024) Insights into Microbial Communities and Foodborne Pathogens in Food Samples from Kinta Valley, Perak, Malaysia through Metagenomic Analysis. IOP Conference Series: Earth and Environmental Science, 1408 (1). 012013. ISSN 1755-1307

[img] Text
pdf.pdf - Published Version
Restricted to Repository staff only

Download (612kB)

Abstract

Foodborne illnesses pose an escalating global threat, predominantly stemming from bacterial contamination. Despite a growing incidence rate in Malaysia, there remains a dearth of comprehensive studies utilising metagenomic approaches to analyse foodborne pathogens. This study aimed to assess microbial communities and identify foodborne pathogens in 27 samples, including vegetables, meats, and fruits through whole-genome shotgun metagenomic sequencing. Our analysis revealed a prevalent bacterial presence in most samples, with Proteobacteria and Firmicutes exhibiting notable abundance. Taxonomic profiling unveiled diverse microbial profiles, with specific genera indicating potential health hazards. Detection of common foodborne pathogens, including Escherichia, Salmonella, Listeria, Shigella, Vibrio, Cronobacter, Bacillus, Yersinia, and Klebsiella, underscored contamination risks associated with these food items. Importantly, our approach facilitated species-level taxonomic resolution, crucial for pinpointing potential foodborne pathogens. The detection of these pathogens in the samples highlights concerns regarding food safety and consumption risks. However, our findings also emphasize the potential of metagenomic sequencing to enhance pathogen detection techniques.

Item Type: Article
Uncontrolled Keywords: Foodborne
Subjects: R Medicine > RA Public aspects of medicine > RA421-790.95 Public health. Hygiene. Preventive medicine
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 04 Dec 2024 02:24
Last Modified: 04 Dec 2024 02:24
URII: http://shdl.mmu.edu.my/id/eprint/13202

Downloads

Downloads per month over past year

View ItemEdit (login required)