GENE EXPRESSION PROFILE IN SALMONELLA ENTERITIDIS IN EGG ALBUMEN BASED ON PATHOGENICITY VIA GEO-ANALYSIS
Keywords:
contamination, foodborne, gene expression, GEO Analysis, pathogenicity
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.
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References
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Golby, P., Davies, S., Kelly, D. J., Guest, J. R., & Andrews, S. C. (1999). Identification and Characterization of a Two-Component Sensor-Kinase and Response-Regulator System (DcuS-DcuR) Controlling Gene Expression in Response to C 4 -Dicarboxylates in Escherichia coli. Journal of Bacteriology, 181(4), 1238–1248. https://doi.org/10.1128/JB.181.4.1238-1248.1999
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Lin, T.-H., Huang, S.-C., & Shaw, G.-C. (2012). Reexamining Transcriptional Regulation of the Bacillus subtilis htpX Gene and the ykrK Gene, Encoding a Novel Type of Transcriptional Regulator, and Redefining the YkrK Operator. Journal of Bacteriology, 194(24), 6758–6765. https://doi.org/10.1128/JB.01258-12
Liu, J., Feng, M., Li, S., Nie, S., Wang, H., Wu, S., Qiu, J., Zhang, J., & Cheng, W. (2020). Identification of molecular markers associated with the progression and prognosis of endometrial cancer: A bioinformatic study. Cancer Cell International, 20(1), 59. https://doi.org/10.1186/s12935-020-1140-3
Lu, S., Killoran, P. B., & Riley, L. W. (2003). Association of Salmonella enterica SerovarEnteritidis YafD with Resistance to Chicken EggAlbumen. Infection and Immunity, 71(12), 6734–6741. https://doi.org/10.1128/IAI.71.12.6734-6741.2003
Luo, D., Liang, X., Xu, B., Liu, J., Wei, C., & Li, G. (2019). Rapid Discovery of Potential Drugs for Osteonecrosis of Femoral Head Based on Gene Expression Omnibus Database and Connectivity Map. Orthopaedic Surgery, 11(6), 1209–1219. https://doi.org/10.1111/os.12533
Matsumoto, Y., Ohta, K., Yumine, N., Goto, H., & Nishio, M. (2015). Identification of two essential aspartates for polymerase activity in parainfluenza virus L protein by a minireplicon system expressing secretory luciferase. Microbiology and Immunology, 59(11), 676–683. https://doi.org/10.1111/1348-0421.12329
McWhorter, A. R., & Chousalkar, K. K. (2019). From hatch to egg grading: Monitoring of Salmonella shedding in free-range egg production systems. Veterinary Research, 50(1), 58. https://doi.org/10.1186/s13567-019-0677-4
Miletic, S., Simpson, D. J., Szymanski, C. M., Deyholos, M. K., & Menassa, R. (2016). A Plant-Produced Bacteriophage Tailspike Protein for the Control of Salmonella. Frontiers in Plant Science, 6. https://doi.org/10.3389/fpls.2015.01221
Qi, D., & Chen, K. (2021). Bioinformatics Analysis of Potential Biomarkers and Pathway Identification for Major Depressive Disorder. Computational and Mathematical Methods in Medicine, 2021, 1–11. https://doi.org/10.1155/2021/3036741
Sakoh, M., Ito, K., & Akiyama, Y. (2005). Proteolytic Activity of HtpX, a Membrane-bound and Stress-controlled Protease from Escherichia coli. Journal of Biological Chemistry, 280(39), 33305–33310. https://doi.org/10.1074/jbc.M506180200
Sari, C., Ajeng Erika Prihastuti Haskito, Dinda Rahma Kurniasari, & Fajar Shodiq Permata. (2023). Big data analysis descriptively of Brucella abortus cases in Indonesia during 2006-2020. International Journal of Science and Research Archive, 10(2), 1048–1061. https://doi.org/10.30574/ijsra.2023.10.2.1077
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Published
2024-01-17
How to Cite
Sari, C., Permata, F., & Tedjo, A. (2024). GENE EXPRESSION PROFILE IN SALMONELLA ENTERITIDIS IN EGG ALBUMEN BASED ON PATHOGENICITY VIA GEO-ANALYSIS. GPH-International Journal of Biological & Medicine Science, 7(01), 01-16. https://doi.org/10.5281/zenodo.10538961
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Copyright (c) 2024 Citra Sari, Fajar Shodiq Permata, Aryo Tedjo
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