1. Selection and Validation of Suitable Reference Genes for RT-qPCR Analysis in Apolygus lucorum (Hemiptera: Miridae)
- Author
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Yu Peng, Aoli Wang, Haoling Rong, Libin Guo, Jing Luo, Yanxia Cheng, and Letian Xu
- Subjects
0106 biological sciences ,Integrated pest management ,Pesticide resistance ,Computational biology ,Biology ,Real-Time Polymerase Chain Reaction ,01 natural sciences ,law.invention ,Heteroptera ,03 medical and health sciences ,law ,Reference genes ,Animals ,Gene ,Apolygus lucorum ,Polymerase chain reaction ,030304 developmental biology ,0303 health sciences ,Ecology ,Gene Expression Profiling ,Reproducibility of Results ,General Medicine ,Plants ,Reference Standards ,biology.organism_classification ,Miridae ,010602 entomology ,Insect Science ,RNA Interference ,PEST analysis - Abstract
Apolygus lucorum (Meyer-Dür) is a destructive pest to >280 plants. Major economic significance and pesticide resistance issues have created a need for integrated pest management (e.g., RNAi, entomopathogen-based bioinsecticides) for A. lucorum. To better develop these control strategies, large-scale genetic studies involving gene-expression analysis are required and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is the most commonly used method. However, there have been no reports on appropriate reference genes in A. lucorum. Here, we evaluated nine widely utilized reference genes including EF1γ, RPL32, RPL27, SDH, TBP, ACT, ACT2, GAPDH, and βTUB for their expression stabilities in A. lucorum under five different conditions i.e., life stage, tissue, sex, dsRNA injection, and entomopathogen infection. Based on the gene stability ranking calculated by RefFinder, which integrates four algorithms (geNorm, delta Ct method, NormFinder, and BestKeeper), we recommend RPL27 and RPL32 as the most appropriate reference genes for molecular studies in different life stages and tissues; GAPDH and EF1γ for different sexes and entomopathogen infection studies; and RPL27 and EF1γ for RNAi studies. The results of this study will help improve the accuracy and reliability for normalizing the RT-qPCR data for further molecular analysis in A. lucorum.
- Published
- 2019