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通过定量实时 PCR 分析,选择和验证香椿在不同实验条件下测量基因表达的参考基因。

Selection and validation of reference genes for measuring gene expression in Toona ciliata under different experimental conditions by quantitative real-time PCR analysis.

机构信息

Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, Guangzhou, 510642, China.

State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangzhou, 510642, China.

出版信息

BMC Plant Biol. 2020 Oct 1;20(1):450. doi: 10.1186/s12870-020-02670-3.

Abstract

BACKGROUND

Before studying gene expression of different organisms, it is important to determine the best reference gene. At present, the most accurate method of detecting gene expression is quantitative real-time PCR (RT-qPCR). With this method, reference genes that are stable in different biological systems and under different conditions can be obtained. Toona ciliata Roem (T. ciliata). is a valuable and fast-growing timber specie. In this study, 20 reference genes were identified using RT-qPCR, as a primary prerequisite for future gene expression analysis. Four different methods, geNorm, NormFinder, BestKeeper, and RankAggreg were used to evaluate the expression stability of the 20 candidate reference genes in various tissues under different conditions.

RESULTS

The experimental results showed that TUB-α was the most stably expressed reference gene across all samples and UBC17 was the most stable in leaves and young stems under Hypsipyla robusta (H. robusta) and methyl jasmonate (MeJA) treatments. In addition, PP2C59 and UBC5B were the best-performing genes in leaves under H. robusta treatment, while HIS1 and ACT7 were the best reference genes in young stems. The two best reference genes were 60S-18 and TUB-α after treatment at 4 °C. The expression of HIS6 and MUB1 was the most stable under PEG6000 treatment. The accuracy of the selected reference genes was verified using the transcription factor MYB3 (TcMYB3) gene.

CONCLUSIONS

This is the first report to verify the best reference genes for normalizing gene expression in T. ciliata under different conditions, which will facilitate future elucidation of gene regulations in this species.

摘要

背景

在研究不同生物体的基因表达之前,确定最佳的参考基因是很重要的。目前,检测基因表达最准确的方法是定量实时 PCR(RT-qPCR)。使用这种方法,可以获得在不同生物系统和不同条件下稳定的参考基因。香椿(Toona ciliata Roem)是一种有价值且生长迅速的木材树种。在这项研究中,通过 RT-qPCR 鉴定了 20 个候选参考基因,作为未来基因表达分析的初步前提。使用 geNorm、NormFinder、BestKeeper 和 RankAggreg 这四种不同的方法来评估 20 个候选参考基因在不同条件下不同组织中的表达稳定性。

结果

实验结果表明,在所有样本中,TUB-α 是最稳定的参考基因,在 H. robusta 和 MeJA 处理下,UBC17 是叶片和幼茎中最稳定的基因。此外,在 H. robusta 处理下,PP2C59 和 UBC5B 是叶片中表现最好的基因,而在幼茎中,HIS1 和 ACT7 是最好的参考基因。在 4°C 处理下,两个最好的参考基因是 60S-18 和 TUB-α。在 PEG6000 处理下,HIS6 和 MUB1 的表达最稳定。使用转录因子 MYB3(TcMYB3)基因验证了所选参考基因的准确性。

结论

这是首次报道在不同条件下验证香椿参考基因表达的最佳参考基因,这将有助于未来阐明该物种的基因调控。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff69/7528382/02b016db915a/12870_2020_2670_Fig1_HTML.jpg

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