GENE EXPRESSION PROFILE IN SALMONELLA ENTERITIDIS IN EGG ALBUMEN BASED ON PATHOGENICITY VIA GEO-ANALYSIS

Research output: Contribution to journalArticlepeer-review

Abstract

Salmonella enteriditis, a bacterium known for contaminating egg albumen, serves as a significant causative agent of foodborne illnesses in humans. These illnesses manifest with a spectrum of symptoms ranging from mild to severe, contingent upon the varying pathogenicity levels of Salmonella enteritidis. The central objective of this research endeavor was to meticulously analyze the gene expression profile of Salmonella enteritidis in egg albumin, correlating it with the pathogen's varying pathogenicity levels. This analysis was conducted utilizing the Gene Expression Omnibus (GEO) Analysis framework.A comprehensive examination of 18 genomic databases specific to Salmonella enteritidis, extracted from the GEO Dataset (GSE33102), was undertaken. These databases were methodically clustered in accordance with the pathogenicity gradations of the bacteria. Subsequently, an in-depth analysis and visualization of the data were performed using GEO2R. The analytical findings revealed a notable variance in gene expression, with 35-46 genes demonstrating significant differences (Padj<0.05) when comparing groups with High Pathogenicity and High-Medium Pathogenicity against those with Low PathogenicityThe study culminated in the identification of six distinct gene expressions that effectively discriminate between Salmonella enteritidis groups classified as High, High-Medium, and Low Pathogenicity. This discovery propels the hypothesis that these genes could potentially serve as specific markers for the presence of Salmonella enteritidis in contaminated eggs. Such markers would be instrumental in the early detection of foodborne diseases. However, it is imperative to conduct further research to ascertain the viability of these candidate genes as reliable indicators for the early detection of this pathogen in contaminated food sources.

Original languageEnglish
Pages (from-to)1-16
JournalJournal of biological & medicine science
Volume6
Issue number12
DOIs
Publication statusPublished - 6 Dec 2023

Keywords

  • contamination
  • foodborne
  • gene expression
  • GEO Analysis
  • pathogenicity

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