Li Jun-Yi, Chen Wan-Zhu, Yang Si-Hua, Xu Chun-Ling, Huang Xin, Chen Chun, Xie Hui
Laboratory of Plant Nematology and Research Center of Nematodes of Plant Quarantine, Department of Plant Pathology, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong Province, People's Republic of China.
PeerJ. 2019 Jan 16;7:e6253. doi: 10.7717/peerj.6253. eCollection 2019.
Six candidate reference genes were chosen from the transcriptome database of using the bioinformatics method, including four conventional reference genes , Eukaryotic translation initiation factor 5A (), Tubulin alpha (, ubiquitin ()) and two new candidate reference genes (Ribosomal protein S21 () and Serine/threonine protein phosphatase PP1-β catalytic subunit (-PP1)). In addition, a traditional reference gene 18S ribosomal RNA () obtained from NCBI databases was also added to the analysis. Real-time PCR was used to detect the expression of seven candidate reference genes in six populations of and four developmental stages (female, male, larva and egg) of a population. The stability of the expression of candidate genes was evaluated by three software programs, BestKeeper, geNorm and NormFinder. The results showed that is the most suitable reference gene for gene functional research of different populations, while both and are the most suitable reference genes for different developmental stages of a population. Therefore, is the best reference gene for studying . However, one defect of this study is that only seven candidate reference genes were analyzed; ideally, more genes should be tested.
利用生物信息学方法从 的转录组数据库中选择了6个候选参考基因,包括4个传统参考基因,真核翻译起始因子5A( )、微管蛋白α( )、泛素( ),以及2个新的候选参考基因(核糖体蛋白S21( )和丝氨酸/苏氨酸蛋白磷酸酶PP1-β催化亚基( -PP1))。此外,还将从NCBI数据库中获得的一个传统参考基因18S核糖体RNA( )纳入分析。采用实时荧光定量PCR检测7个候选参考基因在 的6个群体以及一个群体的4个发育阶段(雌性、雄性、幼虫和卵)中的表达情况。通过BestKeeper、geNorm和NormFinder这三个软件程序评估候选基因表达的稳定性。结果表明, 是不同群体基因功能研究中最合适的参考基因,而 和 都是一个群体不同发育阶段最合适的参考基因。因此, 是研究 的最佳参考基因。然而,本研究的一个缺陷是仅分析了7个候选参考基因;理想情况下,应该检测更多的基因。