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Selection of Reference Genes for qPCR- and ddPCR-Based Analyses of Gene Expression in Senescing Barley Leaves

机译:基于qPCR和ddPCR的感性大麦叶片基因表达分析参考基因的选择

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摘要

Leaf senescence is a tightly regulated developmental or stress-induced process. It is accompanied by dramatic changes in cell metabolism and structure, eventually leading to the disintegration of chloroplasts, the breakdown of leaf proteins, internucleosomal fragmentation of nuclear DNA and ultimately cell death. In light of the global and intense reorganization of the senescing leaf transcriptome, measuring time-course gene expression patterns in this model is challenging due to the evident problems associated with selecting stable reference genes. We have used oligonucleotide microarray data to identify 181 genes with stable expression in the course of dark-induced senescence of barley leaf. From those genes, we selected 5 candidates and confirmed their invariant expression by both reverse transcription quantitative PCR and droplet digital PCR (ddPCR). We used the selected reference genes to normalize the level of the expression of the following senescence-responsive genes in ddPCR assays: SAG12, ICL, AGXT, CS and RbcS. We were thereby able to achieve a substantial reduction in the data variability. Although the use of reference genes is not considered mandatory in ddPCR assays, our results show that it is advisable in special cases, specifically those that involve the following conditions: i) a low number of repeats, ii) the detection of low-fold changes in gene expression or iii) series data comparisons (such as time-course experiments) in which large sample variation greatly affects the overall gene expression profile and biological interpretation of the data.
机译:叶片衰老是一个严格调控的发育或胁迫诱导过程。它伴随着细胞代谢和结构的急剧变化,最终导致叶绿体的分解,叶蛋白的分解,核DNA的核小体间断裂以及最终细胞死亡。鉴于衰老的叶片转录组的全球性和强烈重组,由于选择稳定的参考基因存在明显的问题,在该模型中测量时程基因表达模式具有挑战性。我们已经使用寡核苷酸微阵列数据来鉴定在大麦叶片黑暗诱导衰老过程中稳定表达的181个基因。从这些基因中,我们选择了5个候选基因,并通过逆转录定量PCR和液滴数字PCR(ddPCR)证实了它们的不变表达。我们使用选定的参考基因在ddPCR分析中标准化以下衰老响应基因的表达水平:SAG12,ICL,AGXT,CS和RbcS。因此,我们能够大幅减少数据的可变性。尽管在ddPCR分析中不认为必须使用参考基因​​,但我们的结果表明,在特殊情况下,尤其是涉及以下条件的情况下,建议这样做:i)重复次数少,ii)检测低倍变化iii)系列数据比较(例如时程实验),其中较大的样本差异极大地影响了总体基因表达谱和数据的生物学解释。

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