Abstract

Larix olgensis Henry is an important afforestation species in northeastern China because of its fast juvenile growth, high-quality timber, and significant economic and ecological values. The selection of appropriate reference genes is necessary for the normalization of gene expression determination during quantitative real-time polymerase chain reaction (qRT-PCR) experiments. In this study, qRT-PCR was used to study gene expression. Three software packages geNorm, NormFinder, BestKeeper were used, and a comprehensive ranking of candidate reference genes was produced based on their output to evaluate the expression stability of 16 candidate reference genes from L. olgensis under drought, salt, cold, and heat stress. PP2A-1 and GAPDH ranked as the most stable reference genes under drought and cold stress, PP2A-1 and UBQ10 were most stable under salt stress, and TIP41 and ACT2 were most stable under heat stress. The least stable gene was ADP, which ranked the last under all treatments. Expression profile analysis of the antioxidant gene CAT using the two most stable and the single least stable reference genes under each stress further verified that the selected reference genes were suitable for gene expression normalization. This study provides an important foundation for the selection of suitable reference genes for the normalization and quantification of L. olgensis gene expression under abiotic stress conditions.

Highlights

  • IntroductionQuantitative real-time polymerase chain reaction (qRT-PCR) is the most effective, simple, specific, inexpensive, and sensitive method for quantifying the expression of target genes [1,2]

  • Gene expression analysis is an important tool for identifying key genes and understanding complex biological processes such as metabolic pathways, signal transduction, and plant development

  • Selection of inappropriate reference genes (RGs) will introduce inaccuracies into the experimental data, and screening for one or more suitable RGs is important for the normalization of gene expression data

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Summary

Introduction

Quantitative real-time polymerase chain reaction (qRT-PCR) is the most effective, simple, specific, inexpensive, and sensitive method for quantifying the expression of target genes [1,2]. Various factors such as RNA integrity, reverse transcription efficiency, cDNA quality, primer specificity, amplification efficiency, and the selection of reference genes (RGs) may significantly influence the reliability of qRT-PCR results [3,4]. Previous literature has described the selection of RGs for various species under different biotic and abiotic stresses and in different development stages and tissues. RGs are often housekeeping genes that are associated with basic cellular processes and Forests 2020, 11, 193; doi:10.3390/f11020193 www.mdpi.com/journal/forests

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