Abstract

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.

Highlights

  • The determination of gene expression helps to dissect a gene’s functions, and real-time quantitative PCR is a sensitive and accurate method of measuring the levels of gene expression in small- to medium-scale studies

  • Our results prove that the reference genes approach is beneficial for reducing data variation in droplet digital PCR (ddPCR) assays

  • 746 of them revealed at least a two-fold change between the early and late senescence stage (Day 3 versus Day 10). (The detailed characterization of the changes in barley transcriptome during dark-induced leaf senescence will be described in a separate paper)

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Summary

Introduction

The determination of gene expression helps to dissect a gene’s functions, and real-time quantitative PCR (qPCR) is a sensitive and accurate method of measuring the levels of gene expression in small- to medium-scale studies. The accuracy of the qPCR measurement, relies on proper experiment design, especially on the selection of well-validated reference. Reference Genes for qPCR and ddPCR Data Analysis in Barley was kindly provided by BioRad Polska. The funders and the instrument provider had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

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