DOI QR코드

DOI QR Code

Selection of Stable Reference Genes for Real-Time Quantitative PCR Analysis in Edwardsiella tarda

  • Sun, Zhongyang (State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology) ;
  • Deng, Jia (State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology) ;
  • Wu, Haizhen (State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology) ;
  • Wang, Qiyao (State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology) ;
  • Zhang, Yuanxing (State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology)
  • Received : 2016.05.10
  • Accepted : 2016.09.09
  • Published : 2017.01.28

Abstract

Edwardsiella tarda is a gram-negative pathogenic bacterium in aquaculture that can cause hemorrhagic septicemia in fish. Many secreted proteins have already been identified as virulent factors of E. tarda. Moreover, since virulent phenotypes are based on the expression regulation of virulent genes, understanding the expression profile of virulent genes is important. A quantitative RT-PCR is one of the preferred methods for determining different gene expressions. However, this requires the selection of a stable reference gene in E. tarda, which has not yet been systematically studied. Accordingly, this study evaluated nine candidate reference genes (recA, uup, rpoB, rho, topA, gyrA, groEL, rpoD, and 16S rRNA) using the Excel-based programs BestKeeper, GeNorm, and NormFinder under different culture conditions. The results showed that 16S rRNA was more stable than the other genes at different culture growth phases. However, at the same culture time, topA was identified as the reference gene under the conditions of different strains, different culture media, and infection, whereas gyrA was identified under the condition of different temperatures. Thus, in experiments, the expression of gapA and fbaA in E. tarda was analyzed by RT-qPCR using 16S rRNA, recA, and uup as the reference genes. The results showed that 16S rRNA was the most suitable reference gene in this analysis, and that using unsuitable reference genes resulted in inaccurate results.

Keywords

References

  1. Li X, Wu H, Zhang M, Liang S, Xiao J, Wang Q, et al. 2012. Secreted glyceraldehyde-3-phosphate dehydrogenase as a broad spectrum vaccine candidate against microbial infection in aquaculture. Lett. Appl. Microbiol. 54: 1-9. https://doi.org/10.1111/j.1472-765X.2011.03164.x
  2. Liang S, Wu H, Liu B, Xiao J, Wang Q, Zhang Y. 2012. Immune response of turbot (Scophthalmus maximus L.) to a broad spectrum vaccine candidate, recombinant glyceraldehyde-3-phosphate dehydrogenase of Edwardsiella tarda. Vet. Immunol. Immunopathol. 150: 198-205. https://doi.org/10.1016/j.vetimm.2012.09.036
  3. Sun Z, Shen B, Wu H, Zhou X, Wang Q, Xiao J, Zhang Y. 2015. The secreted fructose 1,6-bisphosphate aldolase as a broad spectrum vaccine candidate against pathogenic bacteria in aquaculture. Fish Shellfish Immunol. 46: 638-647. https://doi.org/10.1016/j.fsi.2015.08.001
  4. Blau K, Portnoi M, Shagan M, Kaganovich A, Rom S, Kafka D, et al. 2007. Flamingo cadherin: a putative host receptor for Streptococcus pneumoniae. J. Infect. Dis. 195: 1828-1837. https://doi.org/10.1086/518038
  5. Egea L, Aguilera L, Gimenez R, Sorolla MA, Aguilar J, Badia J, Baldoma L. 2007. Role of secreted glyceraldehyde-3-phosphate dehydrogenase in the infection mechanism of enterohemorrhagic and enteropathogenic Escherichia coli: interaction of the extracellular enzyme with human plasminogen and fibrinogen. Int. J. Biochem. Cell Biol. 39: 1190-1203. https://doi.org/10.1016/j.biocel.2007.03.008
  6. Henderson B, Martin A. 2011. Bacterial virulence in the moonlight: multitasking bacterial moonlighting proteins are virulence determinants in infectious disease. Infect. Immun. 79: 3476-3491. https://doi.org/10.1128/IAI.00179-11
  7. Tunio SA, Oldfield NJ, Ala'Aldeen DA, Wooldridge KG, Turner DP. 2010. The role of glyceraldehyde 3-phosphate dehydrogenase (GapA-1) in Neisseria meningitidis adherence to human cells. BMC Microbiol. 10: 280. https://doi.org/10.1186/1471-2180-10-280
  8. Tunio SA, Oldfield NJ, Berry A, Ala'Aldeen DA, Wooldridge KG, Turner DP. 2010. The moonlighting protein fructose-1,6-bisphosphate aldolase of Neisseria meningitidis: surface localization and role in host cell adhesion. Mol. Microbiol. 76: 605-615. https://doi.org/10.1111/j.1365-2958.2010.07098.x
  9. de Kok JB, Roelofs RW, Giesendorf BA, Pennings JL, Waas ET, Feuth T, et al. 2005. Normalization of gene expression measurements in tumor tissues: comparison of 13 endogenous control genes. Lab. Invest. 85: 154-159. https://doi.org/10.1038/labinvest.3700208
  10. Kozera B, Rapacz M. 2013. Reference genes in real-time PCR. J. Appl. Genet. 54: 391-406. https://doi.org/10.1007/s13353-013-0173-x
  11. Huggett J, Dheda K, Bustin S, Zumla A. 2005. Real-time RTPCR normalisation; strategies and considerations. Genes Immun. 6: 279-284. https://doi.org/10.1038/sj.gene.6364190
  12. Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F. 2002. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 3: research0034.1-research0034.11.
  13. Jacob TR, Laia ML, Ferro JA, Ferro MI. 2011. Selection and validation of reference genes for gene expression studies by reverse transcription quantitative PCR in Xanthomonas citri subsp. citri during infection of Citrus sinensis. Biotechnol. Lett. 33: 1177-1184. https://doi.org/10.1007/s10529-011-0552-5
  14. McMillan M, Pereg L. 2014. Evaluation of reference genes for gene expression analysis using quantitative RT-PCR in Azospirillum brasilense. PLoS One 9: e98162. https://doi.org/10.1371/journal.pone.0098162
  15. Takle GW, Toth IK, Brurberg MB. 2007. Evaluation of reference genes for real-time RT-PCR expression studies in the plant pathogen Pectobacterium atrosepticum. BMC Plant Biol. 7: 50. https://doi.org/10.1186/1471-2229-7-50
  16. Theis T, Skurray RA, Brown MH. 2007. Identification of suitable internal controls to study expression of a Staphylococcus aureus multidrug resistance system by quantitative real-time PCR. J. Microbiol. Methods 70: 355-362. https://doi.org/10.1016/j.mimet.2007.05.011
  17. Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP. 2004. Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper-Excel-based tool using pair-wise correlations. Biotechnol. Lett. 26: 509-515. https://doi.org/10.1023/B:BILE.0000019559.84305.47
  18. Andersen CL, Jensen JL, Orntoft TF. 2004. Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res. 64: 5245-5250. https://doi.org/10.1158/0008-5472.CAN-04-0496
  19. Liu X, Wu H, Chang X, Tang Y, Liu Q, Zhang Y. 2014. Notable mucosal immune responses induced in the intestine of zebrafish (Danio rerio) bath-vaccinated with a live attenuated Vibrio anguillarum vaccine. Fish Shellfish Immunol. 40: 99-108 https://doi.org/10.1016/j.fsi.2014.06.030
  20. Zhang M, Wu H, Li X, Yang M, Chen T, Wang Q, et al. 2012. Edwardsiella tarda flagellar protein FlgD: a protective immunogen against edwardsiellosis. Vaccine 30: 3849-3856. https://doi.org/10.1016/j.vaccine.2012.04.008
  21. Rao PS, Yamada Y, Tan YP, Leung KY. 2004. Use of proteomics to identify novel virulence determinants that are required for Edwardsiella tarda pathogenesis. Mol. Microbiol. 53: 573-586. https://doi.org/10.1111/j.1365-2958.2004.04123.x
  22. Chakraborty S, Li M, Chatterjee C, Sivaraman J, Leung KY, Mok YK. 2010. Temperature and $Mg^{2+}$ sensing by a novel PhoP-PhoQ two-component system for regulation of virulence in Edwardsiella tarda. J. Biol. Chem. 285: 38876-38888. https://doi.org/10.1074/jbc.M110.179150
  23. Xiao JF, Wang QY, Liu Q, Wang X, Liu HA, Zhang YX. 2008. Isolation and identification of fish pathogen Edwardsiella tarda from mariculture in China. Aquac. Res. 40: 13-17. https://doi.org/10.1111/j.1365-2109.2008.02101.x
  24. Cappelli K, Felicetti M, Capomaccio S, Spinsanti G, Silvestrelli M, Supplizi AV. 2008. Exercise induced stress in horses: selection of the most stable reference genes for quantitative RT-PCR normalization. BMC Mol. Biol. 9: 49. https://doi.org/10.1186/1471-2199-9-49

Cited by

  1. Precise feeding of probiotics in the treatment of edwardsiellosis by accurate estimation of Edwardsiella tarda vol.68, pp.10, 2017, https://doi.org/10.1007/s13213-018-1371-x
  2. Selection and Validation of Reference Genes for Quantitative Real-Time PCR Normalization Under Ethanol Stress Conditions in Oenococcus oeni SD-2a vol.9, pp.None, 2017, https://doi.org/10.3389/fmicb.2018.00892
  3. rpoB and efp are stable candidate reference genes for quantitative real-time PCR analysis in Saccharopolyspora spinosa vol.35, pp.1, 2017, https://doi.org/10.1080/13102818.2021.1899852
  4. Reference gene selection for qRT-PCR analyses of luffa (Luffa cylindrica) plants under abiotic stress conditions vol.11, pp.1, 2017, https://doi.org/10.1038/s41598-021-81524-w