Sook Yee Boo: Laboratory of Vaccines and Immunotherapeutic, Institute of Bioscience, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Sheau Wei Tan: Laboratory of Vaccines and Immunotherapeutic, Institute of Bioscience, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Noorjahan Banu Alitheen: Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia. ORCID
Chai Ling Ho: Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Abdul Rahman Omar: Laboratory of Vaccines and Immunotherapeutic, Institute of Bioscience, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Swee Keong Yeap: Laboratory of Vaccines and Immunotherapeutic, Institute of Bioscience, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia. skyeap@xmu.edu.my.
Due to the limitations in the range of antibodies recognising avian viruses, quantitative real-time PCR (RT-qPCR) is still the most widely used method to evaluate the expression of immunologically related genes in avian viruses. The objective of this study was to identify suitable reference genes for mRNA expression analysis in chicken intraepithelial lymphocyte natural killer (IEL-NK) cells after infection with very-virulent infectious bursal disease virus (vvIBDV). Fifteen potential reference genes were selected based on the references available. The coefficient of variation percentage (CV%) and average count of these 15 genes were determined by NanoString technology for control and infected samples. The M and V values for shortlisted reference genes (ACTB, GAPDH, HMBS, HPRT1, SDHA, TUBB1 and YWHAZ) were calculated using geNorm and NormFinder. GAPDH, YWHAZ and HMBS were the most stably expressed genes. The expression levels of three innate immune response related target genes, CASP8, IL22 and TLR3, agreed in the NanoString and RNA sequencing (RNA-Seq) results using one or two reference genes for normalisation (not HMBS). In conclusion, GAPDH and YWHAZ could be used as reference genes for the normalisation of chicken IEL-NK cell gene responses to infection with vvIBDV.
References
Berg, T. P. V. D. Acute infectious bursal disease in poultry: a review. Avian pathol. 29(3), 175–194 (2000).
[PMID: 19184804]
Smith, J., Sadeyen, J. R., Butter, C., Kaiser, P. & Burt, D. W. Analysis of the early immune response to infection by infectious bursal disease virus in chickens differing in their resistance to the disease. J. virol. 89(5), 2469–2482 (2015).
[PMID: 25505077]
Radonić, A. et al. Guideline to reference gene selection for quantitative real-time PCR. Biochem. Biophys. Res. Commun. 313(4), 856–862 (2004).
[PMID: 14706621]
Dheda, K. et al. Validation of housekeeping genes for normalizing RNA expression in real-time PCR. Biotechniques 37(1), 112–119 (2004).
[PMID: 15283208]
Watson, S. et al. Determination of suitable housekeeping genes for normalisation of quantitative real time PCR analysis of cells infected with human immunodeficiency virus and herpes viruses. Virol. J. 4(1), 130 (2007).
[PMID: 18053162]
Li, Y. P., Bang, D. D., Handberg, K. J., Jorgensen, P. H. & Zhang, M. F. Evaluation of the suitability of six host genes as internal control in real-time RT-PCR assays in chicken embryo cell cultures infected with infectious bursal disease virus. Vet. Microbiol. 110(3-4), 155–165 (2005).
[PMID: 16159698]
Yue, H., Lei, X. W., Yang, F. L., Li, M. Y. & Tang, C. Reference gene selection for normalization of PCR analysis in chicken embryo fibroblast infected with H5N1 AIV. Virol. Sin 25(6), 425–431 (2010).
[PMID: 21221921]
Yang, F., Lei, X., Rodriguez-Palacios, A., Tang, C. & Yue, H. Selection of reference genes for quantitative real-time PCR analysis in chicken embryo fibroblasts infected with avian leukosis virus subgroup J. BMC Res. Notes 6(1), 402 (2013).
[PMID: 24099561]
Jahromi, M. Z. et al. Differential activation of intraepithelial lymphocyte-natural killer cells in chickens infected with very virulent and vaccine strains of infectious bursal disease virus. Dev Comp Immunol 87, 116–123 (2018).
[PMID: 29886054]
Bentley-Hewitt, K. L. et al. Comparison of quantitative real-time polymerase chain reaction with NanoString® methodology using adipose and liver tissues from rats fed seaweed. New Biotechnol 33(3), 380–386 (2016).
Brenndörfer, M. & Boshart, M. Selection of reference genes for mRNA quantification in Trypanosoma brucei. Mol. Biochem. Parasitol. 172(1), 52–55 (2010).
[PMID: 20302889]
González-Agüero, M. et al. Identification of two putative reference genes from grapevine suitable for gene expression analysis in berry and related tissues derived from RNA-Seq data. BMC genomics 14(1), 878 (2013).
[PMID: 24330674]
Pombo, M. A., Zheng, Y., Fei, Z., Martin, G. B. & Rosli, H. G. Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-Pseudomonas pathosystem. Scientific reports 7, 44905 (2017).
[PMID: 28317896]
Radke, L. et al. Reference gene stability in peripheral blood mononuclear cells determined by qPCR and NanoString. Microchim. Acta. 181(13–14), 1733–1742 (2014).
De Boever, S., Vangestel, C., De Backer, P., Croubels, S. & Sys, S. U. Identification and validation of housekeeping genes as internal control for gene expression in an intravenous LPS inflammation model in chickens. Vet. Immunol. Immunopathol. 122(3-4), 312–317 (2008).
[PMID: 18272235]
Yin et al. Systematic selection of housekeeping genes for gene expression normalization in chicken embryo fibroblasts infected with Newcastle disease virus. Biochem. Biophys. Res. Commun. 413(4), 537–540 (2011).
[PMID: 21925148]
Bas, A., Forsberg, G., Hammarström, S. & Hammarström, M. L. Utility of the housekeeping genes 18S rRNA, β‐actin and glyceraldehyde‐3‐phosphate‐dehydrogenase for normalization in real‐time quantitative reverse transcriptase‐polymerase chain reaction analysis of gene expression in human T lymphocytes. Scand. J. Immunol. 59(6), 566–573 (2004).
[PMID: 15182252]
Stephens, A. S., Stephens, S. R. & Morrison, N. A. Internal control genes for quantitative RT-PCR expression analysis in mouse osteoblasts, osteoclasts and macrophages. BMC Res. Notes 4(1), 410 (2011).
[PMID: 21996334]
Kaszubowska, L. et al. Optimal reference genes for qPCR in resting and activated human NK cells—Flow cytometric data correspond to qPCR gene expression analysis. J. Immunol. Methods. 422, 125–129 (2015).
[PMID: 25914089]
Mocarski, E. S., Upton, J. W. & Kaiser, W. J. Viral infection and the evolution of caspase 8-regulated apoptotic and necrotic death pathways. Nat. Rev. Immunol. 12(2), 79 (2012).
ACa, Vasconcelos, JJa Batista, L. Moro, and ASb Martins. Expression of VP2, Caspase 3 and Caspase 8 genes in IBDV infected chicks. In Western Poultry Disease Conference. (2006).
Aujla, S. J. et al. IL-22 mediates mucosal host defense against Gram-negative bacterial pneumonia. Nat. med 14(3), 275 (2008).
[PMID: 18264110]
Zheng, Y. et al. Interleukin-22 mediates early host defense against attaching and effacing bacterial pathogens. Nat. med 14(3), 282 (2008).
[PMID: 18264109]
Guo, H. & Topham, D. J. Interleukin-22 (IL-22) production by pulmonary Natural Killer cells and the potential role of IL-22 during primary influenza virus infection. J. Virol 84(15), 7750–7759 (2010).
[PMID: 20504940]
Dambacher, J. et al. The role of interleukin-22 in hepatitis C virus infection. Cytokine. 41(3), 209–216 (2008).
[PMID: 18191408]
Broom, L. J. & Kogut, M. H. Inflammation: friend or foe for animal production? Poult. sci. 97(2), 510–514 (2017).
Ou, C. et al. Transcription profiles of the responses of chicken bursae of Fabricius to IBDV in different timing phases. Virol j. 14(1), 93 (2017).
[PMID: 28486945]
Farhanah, M. I. et al. Bursal immunopathology responses of specific-pathogen-free chickens and red jungle fowl infected with very virulent infectious bursal disease virus. Arch. Virol. 163(8), 2085–2097 (2018).
[PMID: 29626271]
Rasoli, M. et al. Differential modulation of immune response and cytokine profiles in the bursae and spleen of chickens infected with very virulent infectious bursal disease virus. BMC Vet. Res. 11(1), 75 (2015).
[PMID: 25884204]
Rasoli, M. et al. Alteration in lymphocyte responses, cytokine and chemokine profiles in chickens infected with genotype VII and VIII velogenic Newcastle disease virus. Comp. Immunol. Microbiol. Infect. Dis. 37(1), 11–21 (2014).
[PMID: 24225159]
Liu, H., Zhang, M., Han, H., Yuan, J. & Li, Z. Comparison of the expression of cytokine genes in the bursal tissues of the chickens following challenge with infectious bursal disease viruses of varying virulence. Virol. J. 7(1), 364 (2010).
[PMID: 21143846]
Borowska, D., Rothwell, L., Bailey, R. A., Watson, K. & Kaiser, P. Identification of stable reference genes for quantitative PCR in cells derived from chicken lymphoid organs. Vet. Immunol. Immunopathol. 170, 20–24 (2016).
[PMID: 26872627]
Borowska, D., et al Highly multiplexed quantitative PCR-based platform for evaluation of chicken immune responses. PLoS One. 14(12) (2019).
Bagés, S., Estany, J., Tor, M. & Pena, R. N. Investigating reference genes for quantitative real-time PCR analysis across four chicken tissues. Gene. 561(1), 82–87 (2015).
[PMID: 25680290]
Olias, P., Adam, I., Meyer, A., Scharff, C. & Gruber, A. D. Reference genes for quantitative gene expression studies in multiple avian species. PloS one. 9(6), e99678 (2014).
[PMID: 24926893]
Zhan, A., Huang, X. & Li, S. Genome-wide identification and evaluation of new reference genes for gene expression analysis under temperature and salinity stresses in Ciona savignyi. Front. Genet 10, 71 (2019).
[PMID: 30809246]
Andersen, C. L., Jensen, J. L. & Ørntoft, T. F. 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(15), 5245–5250 (2004).
[PMID: 15289330]
Vandesompele, J. et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 3(7), research0034-1 (2002).
Hellemans, J., Mortier, G., De Paepe, A., Speleman, F. & Vandesompele, J. qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome biology. 8(2), R19 (2007).
[PMID: 17291332]