Journals / Marine Science and Technology Bulletin / 2026 / Volume: 12 Issue: 3

Bioinformatics Studies and Examining the Tissue Distribution of Glutathione Reductase and Glucose-6-Phosphate Dehydrogenase Genes to Investigate Gender Differences in Differences in Stress Tolerance in Zebrafish (Danio rerio)

Burcu Naz Uzun(Atatürk University, Faculty of Agriculture, Department of Agricultural Biotechnology, 25240. Erzurum, Türkiye)0000-0002-6011-4291
Mehtap Bayır(Atatürk University, Faculty of Agriculture, Department of Agricultural Biotechnology, 25240. Erzurum, Türkiye)0000-0002-7794-1058
Pages
—
Publication Date
2023-09-28
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results showed that the liver was the most dominant tissue for both gsr and g6pd genes in both female and male zebrafish.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The study aimed to investigate the bioinformatics of zebrafish glutathione reductase (gsr) and glucose-6-phosphate dehydrogenase (g6pd) genes, as well as their tissue-specific distribution.
📊
Key Findings & Data:To achieve this, samples of various tissues were taken from female and male zebrafish and total RNA was extracted to obtain cDNA. qPCR was performed to determine the transcripts of gsr and g6pd genes.
💡
Conclusion & Impact:The results showed that the liver was the most dominant tissue for both gsr and g6pd genes in both female and male zebrafish.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Zebrafish · In silico analysis · gsr

Abstract

The study aimed to investigate the bioinformatics of zebrafish glutathione reductase (gsr) and glucose-6-phosphate dehydrogenase (g6pd) genes, as well as their tissue-specific distribution. To achieve this, samples of various tissues were taken from female and male zebrafish and total RNA was extracted to obtain cDNA. qPCR was performed to determine the transcripts of gsr and g6pd genes. The structure of the genes, conserved gene maps, and phylogenetic tree were also designed. The results showed that the liver was the most dominant tissue for both gsr and g6pd genes in both female and male zebrafish. The expression of gsr gene was significantly higher in male zebrafish's liver, intestine, heart, eye, gills, and gonad tissues compared to female fish, while g6pd gene transcription was found to be significantly higher in the male liver, intestine, muscle, brain, eye, gill, kidney, stomach, and gonad tissues. Overall, this study provides valuable insights into the bioinformatics of gsr and g6pd genes in zebrafish and their tissue-specific distribution, which could help in understanding their roles in various physiological and pathological processes in zebrafish and other related species.

🔖

Cite This Article

Uzun, B. N., Bayır, M. (2023). Bioinformatics Studies and Examining the Tissue Distribution of Glutathione Reductase and Glucose-6-Phosphate Dehydrogenase Genes to Investigate Gender Differences in Differences in Stress Tolerance in Zebrafish (Danio rerio). Marine Science and Technology Bulletin, Volume: 12 Issue: 3. https://doi.org/10.33714/masteb.1337231

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (36)

  1. Apel, K., & Hirt, H. (2004). Reactive oxygen species: metabolism, oxidative stress, and signal transduction. Annual Review of Plant Biology, 55, 373-399. https://doi.org/10.1146/annurev.arplant.55.031903.141701
  2. Barbazuk, W. B., Korf, I., Kadavi, C., Heyen, J., Tate, S., Wun, E., Bedel, J. A., Pherson, M. C., & Johnson, S. L. (2000). The syntenic relationship of the zebrafish and human genomes. Genome Research, 10(9), 1351-1358. https://doi.org/10.1101/gr.144700
  3. Bayır, M., & Arslan, G. (2021). Bioinformatics of Nile tilapia (Oreochromis niloticus) lymphocyte cytosolic protein 1 (lcp1) gene Nil tilapia (Oreochromis niloticus) lenfosit sitosolik protein 1 (lcp1). Ege Journal of Fisheries and Aquatic Sciences, 38(1), 63-68. https://doi.org/10.12714/egejfas.38.1.07
  4. Bayır, M., Arslan, G., & Oğuzhan Yıldız, P. (2020). Characterization, identification and phylogeny of the creatine kinase (ckma) gene in medaka (Oryzias latipes). Marine Science and Technology Bulletin, 9(1), 15-22. https://doi.org/10.33714/masteb.660220
  5. Blount, J. D. (2004). Carotenoids and life-history evolution in animals. Archives of Biochemistry and Biophysics, 430(1), 10-15. https://doi.org/10.1016/j.abb.2004.03.039
  6. Braasch, I., & Postlethwait, J. H. (2012). Polyploidy in fish and the teleost genome duplication. In Soltis, P., & Soltis, D. (Eds.), Polyploidy and Genome Evolution (pp. 341-383). Springer. https://doi.org/10.1007/978-3-642-31442-1_17
  7. Catoni, C., Peters, A., & Schaefer, H. M. (2008). Life history trade-offs are influenced by the diversity, availability and interactions of dietary antioxidants. Animal Behaviour, 76(4), 1107-1119. https://doi.org/10.1016/j.anbehav.2008.05.027
  8. Collins, F. S., Patrinos, A., Jordan, E., Chakravarti, A., Gesteland, R., & Walters, L. (1998). New goals for the U.S. human genome project: 1998-2003. Science, 282, 682-689. https://doi.org/10.1126/science.282.5389.682
  9. Dowling, D. K., & Simmons, L. W. (2009). Reactive oxygen species as universal constraints in life-history evolution. Proceedings of the Royal Society B: Biological Sciences, 276(1663), 1737-1745. https://doi.org/10.1098/rspb.2008.1791
  10. Espinosa-Diez, C., Miguel, V., Mennerich, D., Kietzmann, T., Sánchez-Pérez, P., Cadenas, S., & Lamas, S. (2015). Antioxidant responses and cellular adjustments to oxidative stress. Redox Biology, 6, 183-197. https://doi.org/10.1016/j.redox.2015.07.008
  11. García-Meilán, I., Tort, L., & Khansari, A. R. (2022). Rainbow trout integrated response after recovery from short-term acute hypoxia. Frontiers in Physiology, 21(13), 1021927. https://doi.org/10.3389/fphys.2022.1021927
  12. Glasauer, S. M., & Neuhauss, S. C. (2014). Whole-genome duplication in teleost fishes and its evolutionary consequences. Molecular Genetics and Genomics, 289(6), 1045-1060. https://doi.org/10.1007/s00438-014-0889
  13. Gromiha, M. M. (2010). Protein Bioinformatics: From Sequence to Function. Academic Press.
  14. Hill, G. E. (2014). The evolution of ornaments and armaments. In Yasukawa, K. (Ed.), Animal Behavior: How and Why Animals Do the Things They Do, 2. Volume 2: Function and Evolution (pp. 145-172). Praeger.
  15. Kari, G., Rodeck, U., & Dicker, A. P. (2007). Zebrafish: an emerging model system for human disease and drug discovery. Clinical Pharmacology & Therapeutics, 82(1), 70-80. https://doi.org/10.1038/sj.clpt.6100230
  16. Kumar, S., Dudley, J., Nei, M., & Tamura, K. (2008). MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences. Briefings in Bioinformatics, 9(4), 299-306. https://doi.org/10.1093/bib/bbn017
  17. Li, C., Wei, M., Ge, Y., Zhao, J., Chen, Y., Hou, J., Cheng, Y., Chen, J., & Li, J. (2020). The role of glucose-6-phosphate dehydrogenase in reactive oxygen species metabolism in apple exocarp induced by acibenzolar-S-methyl, Food Chemistry, 308, 125663. https://doi.org/10.1016/j.foodchem.2019.125663
  18. Meyer, A., & Schartl, M. (1999). Gene and genome duplications in vertebrates: the one-to-four (-to-eight in fish) rule and the evolution of novel gene functions. Current Opinion in Cell Biology, 11(6), 699-704. https://doi.org/10.1016/S0955-0674(99)00039-3
  19. Nandi, A., Yan, L. J., Jana, C. K., & Das, N. (2019). Role of catalase in oxidative stress- and age- diseases. Oxidative Medicine and Cellular Longevity, 2019, 9613090. https://doi.org/10.1155/2019/9613090
  20. Osman, A. (2012). Biomarkers in associated degenerative Nile Tilapia Oreochromis niloticus niloticus (Linnaeus, 1758) to assess the impacts of River Nile pollution: Bioaccumulation, biochemical and tissues biomarkers, Journal of Environmental Protection, 3(8A), 966-977. https://doi.org/10.4236/jep.2012.328112
  21. Ozdemir, E., & Bayır, M. (2022). Molecular cloning and characterization of Cu-Zn superoxide dismutase (sod1) gene in brown trout and its expression in response to acute aquaculture stressors. Animal Biotechnology, 2022, 1–11. https://doi.org/10.1080/10495398.2022.2061505
  22. Parmar, M. B., Venkatachalam, A. B., & Wright, J. M. (2012). The evolutionary relationship of the transcriptionally active fabp11a (intronless) and fabp11b genes of medaka with fabp11 genes of other teleost fishes. The FEBS Journal, 279(13), 2310-2321. https://doi.org/10.1111/j.1742-4658.2012.08611.x
  23. Postlethwait, J. H., Woods, I. G., Ngo-Hazelett, P., Yan, Y. L., Kelly, P. D., Chu, F., Huang, H., Hill-Force, A., & Talbot, W. S. (2000). Zebrafish comparative genomics and the origins of vertebrate chromosomes. Genome Research, 10(12), 1890-1902. https://doi.org/10.1101/gr.164800
  24. Postlethwait, J. H., Yan, Y. L., Gates, M. A., Horne, S., Amores, A., Brownlie, A., Donovan, A., Egan, E. S., Force, A., Gong, Z., Goutel, C., Fritz, A., Kelsh, R., Knapik, E., Liao, E., Paw, B., Ransom, D., Singer, A., Thomson, M., Abduljabbar, T. S., Yelick, P., Beier, D., Joly, J. S., Larhammar, D., Rosa, F., Westerfield, M., Zon, L. I., Johnson, S. L., & Talbot, W. S. (1998). Vertebrate genome evolution and the zebrafish gene map. Nature Genetics, 18(4), 345-349. https://doi.org/10.1038/ng0498-345
  25. Puppel, K., Kapusta, A., & Kuczynska, B. (2015). The etiology of oxidative stress in the various species of animals, a review. Journal of the Science of Food and Agriculture, 95(11), 2179-2184. https://doi.org/10.1002/jsfa.7015
  26. Schieber, M., & Chandel, N. S. (2014). ROS function in redox signaling and oxidative stress. Current Biology, 24(10), R453-R462. https://doi.org/10.1016/j.cub.2014.03.034
  27. Szudrowicz, H., Kamaszewski, M., Adamski, A., Skrobisz, M., Frankowska-Łukawska, J., Wójcik, M., Bochenek, J., Kawalski, K., Martynow, J., & Bujarski, P. (2022). The effects of seven-day exposure to silver nanoparticles on fertility and homeostasis of zebrafish (Danio rerio). International Journal of Molecular Sciences, 23(19), 11239. https://doi.org/10.3390/ijms231911239
  28. Taylor, J. S., Braasch, I., Frickey, T., Meyer, A., & Van de Peer, Y. (2001). Genome duplication, a trait shared by 22000 species of ray-finned fish. Genome Research, 11(12), 240-250. https://doi.org/10.1101/gr.194001
  29. Taylor, J. S., Van de Peer, Y., & Meyer, A. (2003). Genome duplication, divergent resolution and speciation. Trends in Genetics, 19(5), 259-266. https://doi.org/10.1016/S0168-9525(03)00080-6
  30. Thompson, J. D., Higgins, D. G., & Gibson, T. J. (1994). CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Research, 22(22), 4673-4680. https://doi.org/10.1093/nar/22.22.4673
  31. Torstensen, B. E., Nanton, D. A., Olsvik, P. A., Sundvold, H., & Stubhaug, I., (2009). Gene expression of fatty acid-binding proteins, fatty acid transport proteins (cd36 and FATP) and ß-oxidation-related genes in Atlantic salmon (Salmo salar L.) fed fish oil or vegetable oil. Aquaculture Nutrition, 15(4), 440–451. https://doi.org/10.1111/j.1365- 2095.2008.00609.x
  32. Traverso, N., Ricciarelli, R., Nitti, M., Marengo, B., Furfaro, A. L., Pronzato, M. A., & Marinari, U. M. (2013). Role of glutathione in cancer progression and chemoresistance. Oxidative Medicine and Cellular Longevity, 2013, 972913. https://doi.org/10.1155/2013/972913
  33. Veldman, M. & Lin, S. (2008). Zebrafish as a developmental model organism for pediatric research. Pediatric Research, 64, 470-476. https://doi.org/10.1203/PDR.0b013e318186e609
  34. Wolff, J. N., Ladoukakis, E. D., Enríquez, J. A., & Dowling, D. K. (2014). Mitonuclear interactions: evolutionary consequences over multiple biological scales. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1646), 20130443. https://doi.org/10.1098/rstb.2013.0443
  35. Xu, D., Li, L., & Li, C. (2020). Glutathione reductase gene in zebrafish: Characterization and expression analysis under heavy metal exposure. International Journal of Molecular Sciences, 21(17), 6143. https://doi.org/10.3390/ijms21176143
  36. Zorov, D. B., Juhaszova, M., & Sollott, S. J. (2014). Mitochondrial reactive oxygen species (ROS) and ROS-induced ROS release. Physiological Reviews, 94(3), 909-950. https://doi.org/10.1016/j.bbabio.2006.04.029