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Selection and evaluation of reference genes for gene expression using quantitative real-time PCR in Mythimna separata walker (Lepidoptera: Noctuidae)

  • ZHANG, Bai-Zhong (College of Plant Protection, Henan Agricultural University) ;
  • LIU, Jun-Jie (Postdoctoral Research Base, Henan Institute of Science and Technology) ;
  • CHEN, Xi-Ling (College of Plant Protection, Henan Agricultural University) ;
  • YUAN, Guo-Hui (Postdoctoral Research Base, Henan Institute of Science and Technology)
  • Received : 2017.12.03
  • Accepted : 2018.03.28
  • Published : 2018.09.29

Abstract

In order to precisely assess gene expression levels, the suitable internal reference genes must be served to quantify real-time reverse transcription polymerase chain reaction (RT-qPCR) data. For armyworm, Mythimna separata, which reference genes are suitable for assessing the level of transcriptional expression of target genes have yet to be explored. In this study, eight common reference genes, including ${\beta}$-actin (${\beta}$-ACT), 18 s ribosomal (18S), 28S ribosomal (28S), glyceraldehyde-3-phosphate (GAPDH), elongation fator-alpha ($EF1{\alpha}$), TATA box binding protein (TBP), ribosomal protein L7 (RPL7), and alpha-tubulin (${\alpha}$-TUB) that in different developmental stages, tissues and insecticide treatments of M. separata were evaluated. To further explore whether these genes were suitable to serve as endogenous controls, three software-based approaches (geNorm, BestKeeper, and NormFinder), the delta Ct method, and one web-based comprehensive tool (RefFinder) were employed to analyze and rank the tested genes. The optimal number of reference genes was determined using the geNorm program, and the suitability of particular reference genes was empirically validated according to normalized HSP70, and MsepCYP321A10 gene expression data. We found that the most suitable reference genes for the different experimental conditions. For developmental stages, 28S/RPL7 were the optimal reference genes, both $RPL7/EF1{\alpha}$ were suitable for experiments of different tissues, whereas for insecticide treatments, $28S/{\alpha}-TUB$ were suitable for normalizations of expression data. In addition, $28S/{\alpha}-TUB$ were the suitable reference genes because they have the most stable expression among different developmental stages, tissues and insecticide treatments. Our work is the first report on reference gene selection in M. separata, and might serve as a precedent for future gene expression studies.

Keywords

Acknowledgement

Supported by : Henan Institute of Science and Technology

References

  1. 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 Research 64: 5245-5250. https://doi.org/10.1158/0008-5472.CAN-04-0496
  2. Bagnall NH, Kotze AC (2010) Evaluation of reference genes for real-time PCR quantification of gene expression in the Australian sheep blowfly, Lucilia cuprina. Medical and Veterinary Entomology 24: 176-181. https://doi.org/10.1111/j.1365-2915.2010.00866.x
  3. Bettencourt BR, Hogan CC, Nimali M (2007) Polyglutamine expansion in Drosophila: thermal stress and Hsp70 as selective agents. Journal of Biosciences 32: 537-547. https://doi.org/10.1007/s12038-007-0053-9
  4. Bustin SA (2000) Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. Journal of Molecular Endocrinology 25: 169-193.
  5. Bustin SA, Benes V, Garson JA et al. (2009) The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clinical Chemistry 55: 611-622. https://doi.org/10.1373/clinchem.2008.112797
  6. Chandna R, Augustine R, Bisht NC (2012) Evaluation of Candidate Reference Genes for Gene Expression Normalization in Brassica juncea Using Real Time Quantitative RT-PCR. PLoS One 7: e36918. https://doi.org/10.1371/journal.pone.0036918
  7. Chandra GS, Asokan R, Manamohan M et al. (2014) Evaluation of reference genes for quantitative real-time PCR normalization in cotton bollworm Helicoverpa armigera. Molecular Biology 48: 927-938.
  8. Chen L, Zhong HY, Kuang JF et al. (2011) Validation of reference genes for RT-qPCR studies of gene expression in banana fruit under different experimental conditions. Planta 234: 377-390. https://doi.org/10.1007/s00425-011-1410-3
  9. Cheng D, Zhang Z, He X et al. (2013) Validation of reference genes in, Solenopsis invicta, in different developmental stages, castes and tissues. PLoS One 8: e57718. https://doi.org/10.1371/journal.pone.0057718
  10. Ciric L (2010) Real-time PCR: current technology and applications. Acb News 568: 6-6.
  11. Feng HQ, Zhao XC, Wu XF et al. (2008) Autumn migration of Mythimna separata (Lepidoptera: Noctuidae) over the Bohai Sea in northern China. Environmental Entomology 37: 774-781. https://doi.org/10.1603/0046-225X(2008)37[774:AMOMSL]2.0.CO;2
  12. Glare EM, Divjak M, Bailey MJ et al. (2002) $\beta$-Actin and GAPDH housekeeping gene expression in asthmatic airways is variable and not suitable for normalising mRNA levels. Thorax 57: 765-770. https://doi.org/10.1136/thorax.57.9.765
  13. Gu SH, Wu KM, Guo YY et al. (2013) Identification and expression profiling of odorant binding proteins and chemosensory proteins between two wingless morphs and a winged morph of the cotton aphid Aphis gossypii glover. PLoS One 8: e73524. https://doi.org/10.1371/journal.pone.0073524
  14. Hiel MBV, Wielendaele PV, Temmerman L et al. (2009) Identification and validation of housekeeping genes in brains of the desert locust Schistocerca gregaria under different developmental conditions. BMC Molecular Biology 10: 1-10. https://doi.org/10.1186/1471-2199-10-1
  15. Huggett J, Dheda K, Bustin S et al. (2005) Real-time RT-PCR normalisation; strategies and considerations. Genes and Immunity 6: 279-284. https://doi.org/10.1038/sj.gene.6364190
  16. Jiang X, Luo L, Zhang L et al. (2011) Regulation of migration in Mythimna separata (Walker) in China: a review integrating environmental, physiological, hormonal, genetic, and molecular factors. Environmental Entomology 40: 516-533. https://doi.org/10.1603/EN10199
  17. Liang P, Guo Y, Zhou X et al. (2014) Expression profiling in, Bemisia tabaci, under insecticide treatment: indicating the necessity for custom reference gene selection. PLoS One 9: e87514. https://doi.org/10.1371/journal.pone.0087514
  18. Li FB, Wang W, Zhang HX et al. (2015) Complete mitochondrial genome of the oriental armyworm Mythimna separata (Walker) (Lepidoptera: Noctuidae). Mitochondrial DNA 26: 881-882. https://doi.org/10.3109/19401736.2013.861441
  19. Liu Y, Qi M, Chi Y et al. (2016) De novo assembly of the transcriptome for oriental armyworm Mythimna separata (Lepidoptera: Noctuidae) and analysis on insecticide resistance-related genes. Journal of Insect Science 16: 92. https://doi.org/10.1093/jisesa/iew079
  20. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the $2^{-{\Delta}{\Delta}CT}$ method. Methods 25: 402-408. https://doi.org/10.1006/meth.2001.1262
  21. Lord JC, Hartzer K, Toutges M et al. (2010) Evaluation of quantitative PCR reference genes for gene expression studies in Tribolium castaneum after fungal challenge. Journal of Microbiological Methods 80: 219-221. https://doi.org/10.1016/j.mimet.2009.12.007
  22. Li R, Xie W, Wang S et al. (2013) Reference gene selection for qRT-PCR analysis in the sweetpotato whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae). PLoS One 8: e53006. https://doi.org/10.1371/journal.pone.0053006
  23. Lu Y, Yuan M, Gao X et al. (2013) Identification and validation of reference genes for gene expression analysis using quantitative PCR in Spodoptera litura (Lepidoptera: Noctuidae). PLoS One 8: e68059. https://doi.org/10.1371/journal.pone.0068059
  24. Ma KS, Li F, Liang PZ et al. (2016) Identification and validation of reference genes for the normalization of gene expression data in qRT-PCR analysis in Aphis gossypii (Hemiptera: Aphididae). Journal of Insect Science 16: 1-9. https://doi.org/10.1093/jisesa/iev152
  25. Majerowicz D, Alves-Bezerra M, Logullo R et al. (2011) Looking for reference genes for real-time quantitative PCR experiments in Rhodnius prolixus (Hemiptera: Reduviidae). Insect Molecular Biology 20: 713-722. https://doi.org/10.1111/j.1365-2583.2011.01101.x
  26. Maroniche GA, Sagadín M, Mongelli VC et al. (2011) Reference gene selection for gene expression studies using RT-qPCR in virus-infected planthoppers. Virology Journal 8: 1-8. https://doi.org/10.1186/1743-422X-8-1
  27. Pan Y, Shang Q, Fang K et al. (2010) Down-regulated transcriptional level of Ace1 combined with mutations in Ace1 and Ace2 of Aphis gossypii are related with omethoate resistance. Chemico-Biological Interactions 188: 553-557. https://doi.org/10.1016/j.cbi.2010.07.022
  28. Pfaffl MW, Tichopad A, Prgomet C et al. (2004) Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper-Excel-based tool using pair-wise correlations. Biotechnology Letters 26: 509-515. https://doi.org/10.1023/B:BILE.0000019559.84305.47
  29. Rajarapu SP, Mamidala P, Mittapalli O (2012) Validation of reference genes for gene expression studies in the emerald ash borer (Agrilus planipennis). Insect Sci. 19: 41-46. https://doi.org/10.1111/j.1744-7917.2011.01447.x
  30. Rashid M, Khan RA, Zhang Y (2013) Physiological and population responses of armyworm Mythimna separata (Lepidoptera: Noctuidae) to a sublethal dose of cantharidin-AC. Journal of Economic Entomology 106: 2177-2182. https://doi.org/10.1603/EC13089
  31. Ruan W, Lai M (2007) Actin, a reliable marker of internal control? Clinica Chimica Acta 385: 1-5. https://doi.org/10.1016/j.cca.2007.07.003
  32. Shen GM, Jiang HB, Wang XN et al. (2010) Evaluation of endogenous references for gene expression profiling in different tissues of the oriental fruit fly Bactrocera dorsalis, (Diptera: Tephritidae). BMC Molecular Biology 11: 1-10. https://doi.org/10.1186/1471-2199-11-1
  33. Thellin O, Zorzi W, Lakaye B et al. (1999) Housekeeping genes as internal standards: use and limits. Journal of Biotechnology 75: 291-295. https://doi.org/10.1016/S0168-1656(99)00163-7
  34. Vandesompele J, Preter KD, Pattyn F et al. (2002) Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biology 3: 308.
  35. Yuan M, Lu Y, Zhu X et al. (2014) Selection and evaluation of potential reference genes for gene expression analysis in the brown Planthopper, Nilaparvata lugens (Hemiptera: Delphacidae) using Reverse-Transcription Quantitative PCR. PLoS One 9: e86503. https://doi.org/10.1371/journal.pone.0086503
  36. Yun G, Deng S, Zhang Q et al. (2004) The resistance of Bt corn (MG95) to Pseudaletia separata. Entomological Knowledge 41: 422-426.