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选择适合芦竹芒萁定量实时 PCR 归一化的参考基因。

Selection of suitable reference genes for quantitive real-time PCR normalization in Miscanthus lutarioriparia.

机构信息

State Key Laboratory of Hybrid Rice, Hubei Lotus Engineering Center College of Life Sciences, Wuhan University, Wuhan, 430072, People's Republic of China.

School of Life Sciences Nantong University, Nantong, 226019, People's Republic of China.

出版信息

Mol Biol Rep. 2019 Aug;46(4):4545-4553. doi: 10.1007/s11033-019-04910-8. Epub 2019 Jun 21.

DOI:10.1007/s11033-019-04910-8
PMID:31228041
Abstract

Miscanthus lutarioriparia, which is found widespread in China, has attracted great attention as a most potential bioenergy plant for years. The quantitative real time PCR (RT-qPCR) has appeared as a sensitive and powerful technique to measure gene expression in living organisms during different development stages. In this study, we evaluated ten candidate genes, including 25S ribosomal RNA gene (25S rRNA), actin1 gene (ACT1), carotenoid-binding protein 20 gene (CBP20), glyceraldehyde-3-phosphate dehydrogenase gene (GAPDH), Ubiquitin gene (UBQ), eukaryotic elongation factor 1-αgene (eEF-1α), α-tubulin gene (α-TUB), β-tubulin gene (β-TUB), eukaryotic translation initiation factor 4α-1 gene (eIF-4α) and NAC domain protein gene(NAC) in a series of 30 M. lutarioriparia samples followed by statistical algorithms geNorm and Normfinder to analyze the gene expression stability. The results indicated that eIF-4αand UBQ were the most stable expressed genes while CBP20 showed as the least stable among all the samples. Based on above research, we recommend that at least two top-ranked reference genes should be employed for expression data normalization. The best genes selected in this study will provide a starting point to select reference genes in the future in other tissues and under other experimental conditions in this energy crop candidate.

摘要

在中国广泛分布的荻,作为最有潜力的生物能源植物,多年来一直受到极大关注。实时荧光定量 PCR(RT-qPCR)已成为一种在不同发育阶段测量生物体内基因表达的敏感而强大的技术。在这项研究中,我们评估了 10 个候选基因,包括 25S 核糖体 RNA 基因(25S rRNA)、肌动蛋白 1 基因(ACT1)、类胡萝卜素结合蛋白 20 基因(CBP20)、甘油醛-3-磷酸脱氢酶基因(GAPDH)、泛素基因(UBQ)、真核延伸因子 1-α 基因(eEF-1α)、α-微管蛋白基因(α-TUB)、β-微管蛋白基因(β-TUB)、真核翻译起始因子 4α-1 基因(eIF-4α)和 NAC 结构域蛋白基因(NAC),在 30 个荻系列样本中进行了分析,并通过统计算法 geNorm 和 Normfinder 分析了基因表达的稳定性。结果表明,eIF-4α和 UBQ 是最稳定表达的基因,而 CBP20 是所有样本中最不稳定的基因。基于以上研究,我们建议至少应使用两个排名最高的参考基因进行表达数据归一化。本研究中选择的最佳基因将为在该能源作物候选物的其他组织和其他实验条件下选择参考基因提供起点。

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