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在非生物胁迫条件下对丝瓜(Luffa cylindrica)植物进行 qRT-PCR 分析的参考基因选择。

Reference gene selection for qRT-PCR analyses of luffa (Luffa cylindrica) plants under abiotic stress conditions.

机构信息

Fujian Key Laboratory of Vegetable Genetics and Breeding, Crops Research Institute, Fujian Academy of Agricultural Sciences, Vegetable Research Center, Fujian Engineering Research Center for Vegetables, Fuzhou, 350013, Fujian, China.

出版信息

Sci Rep. 2021 Feb 4;11(1):3161. doi: 10.1038/s41598-021-81524-w.

Abstract

Selecting suitable internal reference genes is an important prerequisite for the application of quantitative real-time PCR (qRT-PCR). However, no systematic studies have been conducted on reference genes in luffa. In this study, seven reference genes were selected, and their expression levels in luffa plants exposed to various simulated abiotic stresses [i.e., cold, drought, heat, salt, HO, and abscisic acid (ABA) treatments] were analyzed by qRT-PCR. The stability of the reference gene expression levels was validated using the geNorm, NormFinder, BestKeeper, and RefFinder algorithms. The results indicated that EF-1α was the most stably expressed and suitable reference gene overall and for the heat, cold, and ABA treatments. Additionally, UBQ expression was stable following the salt treatment, whereas TUB was identified as a suitable reference gene for HO and drought treatments. The reliability of the selected reference genes was verified by analyzing the expression of copper/zinc superoxide dismutase (Cu/Zn-SOD) gene in luffa. When the most unstable reference genes were used for data normalizations, the resulting expression patterns had obvious biases when compared with the expression patterns for the most ideal reference genes used alone or combined. These results will be conducive to more accurate quantification of gene expression levels in luffa.

摘要

选择合适的内参基因是定量实时 PCR(qRT-PCR)应用的重要前提。然而,在丝瓜中尚未对参考基因进行系统研究。本研究选择了 7 个参考基因,通过 qRT-PCR 分析了丝瓜植株在各种模拟非生物胁迫[即冷、旱、热、盐、H2O2 和脱落酸(ABA)处理]下的表达水平。利用 geNorm、NormFinder、BestKeeper 和 RefFinder 算法验证了参考基因表达水平的稳定性。结果表明,EF-1α 是最稳定的表达基因,总体上和在热、冷、ABA 处理中均表现良好。此外,盐处理后 UBQ 的表达稳定,而 TUB 被鉴定为 HO 和干旱处理的合适参考基因。通过分析丝瓜铜/锌超氧化物歧化酶(Cu/Zn-SOD)基因的表达,验证了所选参考基因的可靠性。当使用最不稳定的参考基因进行数据归一化时,与单独或组合使用最理想的参考基因相比,得到的表达模式存在明显的偏差。这些结果将有助于更准确地定量丝瓜中基因的表达水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ed/7862638/73d651d129df/41598_2021_81524_Fig1_HTML.jpg

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