Detection of the pqsA Gene and Histological Changes Induced by Pseudomonas aeruginosa

Authors

DOI:

https://doi.org/10.30526/39.4.4421

Keywords:

Pseudomonas aeruginosa, pqsA gene, Quorum sensing, Molecular detection, Animal model, Histological alterations

Abstract

Pseudomonas aeruginosa uses quorum-sensing systems to coordinate activities regulated by specific genes, such as metabolic and environmental responses. The pqsA gene is a key component of the pqs pathway (quinolone signaling in Pseudomonas aeruginosa).This study focused on  applying a mouse model to some local isolates of P. aeruginosa and identifying those carrying the pqsA gene. The study included isolating 150 samples for analysis, which resulted in confirmation of the presence of 58 isolates of P.aeruginosa. The specimens including wound swabs, burn samples, urine samples, middle ear swabs, and sputum were collected from different hospitals. The presence of the pqsA gene was confirmed molecularly using polymerase chain reaction (PCR) on 19 selected isolates, all of which showed positive amplification (448 bp). The experimental mouse model consisted of Swiss albino mice, divided into a control group and two treatment groups with low (1×10⁴ CFU) and high (1×10⁸ CFU) concentration of bacteria. We evaluated body weight before and after exposure and also performed histological examinations of the liver and lung tissue. The results showed that increased bacterial concentrations led to increased weight loss and extensive histological changes. In contrast, low concentrations produced only minor tissue changes. Statistical analysis (results are presented as means ± SE calculated using one-way ANOVA) confirmed these findings as statistically significant (p ≤ 0.05). Based on the above information, it can be concluded that the pqsA gene is highly conserved in local isolates of P. aeruginosa and that the presence of this gene leads to significant effects in host tissue in controlled in vivo studies. Therefore, this research contributes to understanding of the bacterial quorum sensing mechanism, the pathogenicity of bacterial species and their ability to interact with host bacteria in in vivo studies

Author Biographies

  • Zahraa Hasan Khaleefah, Department of Biology, College of Education Pure Science (Ibn Al-Haitham), University of Baghdad, Baghdad, Iraq.

    -

  • Enas Abdalhadi Hussain, Department of Biology, Collage of Education for Pure Science (Ibn Al-Haitham), University of Baghdad, Baghdad, Iraq.

    -

References

1. Lee JW. Bacterial regulatory mechanisms for the control of cellular processes: simple organisms’ complex regulation. J Microbiol. 2023;61(3):273–276. https://doi.org/10.1007/s12275-023-00036-6.

2. Lafta IJ, Sadeq Z. Pseudomonas aeruginosa is an effective indicator for screening of quorum sensing inhibition by plant extracts. Iraqi J Vet Med. 2024;48(1):54–62. https://doi.org/10.30539/nzsc0y49.

3. Hameed HQ, Hasan AA, Abdullah RM. Effect of Olea europaea L extraction and TiO₂ nanoparticles against Pseudomonas aeruginosa. Indian J Public Health Res Dev. 2019;10(6):1218–1223. https://doi.org/10.5958/0976-5506.2019.01459.1.

4. Zhang X, Li S, Zhang D, Zheng S, Zhou DI, Hou Q, Han H. A comprehensive review of the pathogenic mechanisms of Pseudomonas aeruginosa: synergistic effects of virulence factors, quorum sensing, and biofilm formation. Front Microbiol. 2025;16:1619626. https://doi.org/10.3389/fmicb.2025.1619626.

5. García-Reyes S, Soberón-Chávez G, Cocotl-Yanez M. The third quorum-sensing system of Pseudomonas aeruginosa: Pseudomonas quinolone signal and the enigmatic PqsE protein. J Med Microbiol. 2020;69(1):25–34. https://doi.org/10.1099/jmm.0.001116.

6. Montagut EJ, Marco MP. Biological and clinical significance of quorum sensing alkylquinolones: current analytical and bioanalytical methods for their quantification. Anal Bioanal Chem. 2021;413(18):4599–4618. https://doi.org/10.1007/s00216-021-03356-x.

7. Bervoets I, Charlier D. Diversity, versatility and complexity of bacterial gene regulation mechanisms: opportunities and drawbacks for applications in synthetic biology. FEMS Microbiol Rev. 2019;43(3):304–339. https://doi.org/10.1093/femsre/fuz001.

8. Douglas AE. 2019. Simple animal models for microbiome research. Nature Reviews Microbiology, 17(12), 764-775. https://doi.org/10.1038/s41579-019-0242-1.

9. Velez-Hoyos A, Jimenez-Tobon GA. Highlights of infectious agents in tissue. Pathology. 2022;54(2):217–224. https://doi.org/10.1016/j.pathol.2021.10.004.

10. Proal AD, Lindseth IA, Marshall TG. Microbe–microbe and host–microbe interactions drive microbiome dysbiosis and inflammatory processes. Discov Med. 2017;23(124):51–60.

11. Bobrov AG, Getnet D, Swierczewski B, Jacobs A, Medina-Rojas M, Tyner S, Antonic V. Evaluation of Pseudomonas aeruginosa pathogenesis and therapeutics in military-relevant animal infection models. APMIS. 2022;130(7):436–457. https://doi.org/10.1111/apm.13119.

12. Wood SJ, Kuzel TM, Shafikhani SH. Pseudomonas aeruginosa: infections, animal modeling, and therapeutics. Cells. 2023;12(1):199. https://doi.org/10.3390/cells12010199.

13. Chegini Z, Noei M, Hemmati J, Arabestani MR, Shariati A. The destruction of mucosal barriers, epithelial remodeling, and impaired mucociliary clearance: possible pathogenic mechanisms of Pseudomonas aeruginosa and Staphylococcus aureus in chronic rhinosinusitis. Cell Commun Signal. 2023;21(1):306. https://doi.org/10.1186/s12964-023-01347-2.

14. Lichtenberg M, Jakobsen TH, Kühl M, Kolpen M, Jensen PØ, Bjarnsholt T. The structure–function relationship of Pseudomonas aeruginosa in infections and its influence on the microenvironment. FEMS Microbiol Rev. 2022;46(5):fuac018. https://doi.org/10.1093/femsre/fuac018.

15. Tinrat S, Jiraprasertwong O. Probiotic potential and phytase-producing capacity of yeast isolated from Thai traditional fermentation starter (Look-pang). Folia Microbiol. 2025;70:1–17. https://doi.org/10.1007/s12223-025-01314-z.

16. Al-Rubaye MRS, Mohammed TK, Abdullah HN. Isolation and diagnosis of multidrug resistance Pseudomonas aeruginosa from wound and burn patients in Baghdad City. Indian J Forensic Med Toxicol. 2020;14(3):2431–2437. https://doi.org/10.37506/ijfmt.v14i3.10801.

17. Abdelrahim SS, Hassuna NA, Waly NG, Kotb DN, Abdelhamid H, Zaki S. Coexistence of plasmid-mediated quinolone resistance (PMQR) and extended-spectrum beta-lactamase (ESBL) genes among clinical Pseudomonas aeruginosa isolates in Egypt. BMC Microbiol. 2024;24(1):175. https://doi.org/10.1186/s12866-024-03319-z.

18. Bayram EN, Al-Bakri NA, Al-Shmgani HS. Zinc chloride can mitigate the alterations in metallothionein and some apoptotic proteins induced by cadmium chloride in mice hepatocytes: a histological and immunohistochemical study. J Toxicol. 2023;2023(1):2200539. https://doi.org/10.1155/2023/2200539

19. Bancroft JD, Gamble M. Theory and practice of histological techniques. 7th ed. Philadelphia: Churchill Livingstone Elsevier; 2013. p. 172–186.

20. Çanga D, Efe C. Using contrasts in one-way analysis of variance with control groups and an application. J Agric Sci Technol A. 2017;7:474–478. https://doi.org/10.17265/2161-6256/2017.07.003.

21. Prescott RD, Decho AW. Flexibility and adaptability of quorum sensing in nature. Trends Microbiol. 2020;28(6):436–444. https://doi.org/10.1016/j.tim.2019.12.004.

22. Wang Y, Zhang SP, Zhang MY, Kempher ML, Guo DD, Han JT, He YX. The antitoxin MqsA homologue in Pseudomonas fluorescens 2P24 has a rewired regulatory circuit through evolution. Environ Microbiol. 2019;21(5):1740–1756. https://doi.org/10.1111/1462-2920.14538.

23. MacInnes JI, Van Immerseel F, Boyce JD, Rycroft AN, Vázquez-Boland JA. Pathogenesis of bacterial infections in animals. Wiley-Blackwell; 2022.

24. Sender R, Fuchs S, Milo R. Revised estimates for the number of human and bacteria cells in the body. PLoS Biol. 2016;14(8):e1002533. https://doi.org/10.1101/036103

25. Zhang X, Zhang Z, Shu Q, Xu C, Zheng Q, Guo Z, Lu C. Copper clusters: an effective antibacterial for eradicating multidrug-resistant bacterial infection in vitro and in vivo. Adv Funct Mater. 2021;31(14):2008720. https://doi.org/10.1002/adfm.202008720.

26. Pletzer D, Mansour SC, Wuerth K, Rahanjam N, Hancock RE. New mouse model for chronic infections by gram-negative bacteria enabling the study of anti-infective efficacy and host–microbe interactions. mBio. 2017;8(1):e01128-16. https://doi.org/10.1128/mbio.00140-17.

27. Ma Z, Zuo T, Frey N, Rangrez AY. A systematic framework for understanding the microbiome in human health and disease: from basic principles to clinical translation. Signal Transduct Target Ther. 2024;9(1):237. https://doi.org/10.1038/s41392-024-01946-6.

28. Jakobsen TH, Kirkegaard JB, Lichtenberg M, Kvich LA, Gottlieb H, McNally M, Bjarnsholt T. Detection limitations of bacteria in tissue samples. Bone Joint Res. 2025;14(6):560–567. https://doi.org/10.1302/2046-3758.146.BJR-2024-0410.R1

29. Bala A, Chhibber S, Harjai K. Pseudomonas quinolone signalling system: a component of quorum sensing cascade is a crucial player in the acute urinary tract infection caused by Pseudomonas aeruginosa. Int J Med Microbiol. 2014;304(8):1199–1208. https://doi.org/10.1016/j.ijmm.2014.08.013.

30. Chen J, Lu Y, Ye F, Zhang H, Zhou Y, Li J, Wang H. A small-molecule inhibitor of the anthranilyl-CoA synthetase PqsA for the treatment of multidrug-resistant Pseudomonas aeruginosa. Microbiol Spectr. 2022;10(4):e02764-21. https://doi.org/10.1128/spectrum.02764-21.

31. Dehbashi S, Tahmasebi H, Alikhani MY, Vidal JE, Seifalian A, Arabestani MR. The healing effect of Pseudomonas quinolone signal (PQS) with co-infection of Staphylococcus aureus and Pseudomonas aeruginosa: a preclinical animal co-infection model. J Infect Public Health. 2024;17(2):329–338. https://doi.org/10.1016/j.jiph.2023.12.016.

32. Voelkl B, Altman NS, Forsman A, Forstmeier W, Gurevitch J, Jaric I, Würbel H. Reproducibility of animal research in light of biological variation. Nat Rev Neurosci. 2020;21(7):384–393. https://doi.org/10.1038/s41583-020-0313-3.

33. Schulze A, Mitterer F, Pombo JP, Schild S. Biofilms by bacterial human pathogens: clinical relevance, development, composition and regulation, therapeutical strategies. Microbial Cell. 2021;8(2):28. https://doi.org/10.15698/mic2021.02.741.

34. Xiao Y, Zou H, Li J, Song T, Lv W, Wang W, Tao S. Impact of quorum sensing signaling molecules in gram-negative bacteria on host cells: current understanding and future perspectives. Gut Microbes. 2022;14(1):2039048. https://doi.org/10.1080/19490976.2022.2039048.

35. Qian Y, Lan F, Venturelli OS. Towards a deeper understanding of microbial communities: integrating experimental data with dynamic models. Curr Opin Microbiol. 2021;62:84–92. https://doi.org/10.1016/j.mib.2021.05.003.

36. Lopatkin AJ, Collins JJ. Predictive biology: modelling, understanding and harnessing microbial complexity. Nat Rev Microbiol. 2020;18(9):507–520. https://doi.org/10.1038/s41579-020-0372-5.

Downloads

Published

20-Oct-2026

Issue

Section

Biology

How to Cite

[1]
Khaleefah, Z.H. and Hussain, E.A. 2026. Detection of the pqsA Gene and Histological Changes Induced by Pseudomonas aeruginosa. Ibn AL-Haitham Journal For Pure and Applied Sciences. 39, 4 (Oct. 2026), 104–114. DOI:https://doi.org/10.30526/39.4.4421.