Using RNA-seq data to select reference genes for normalizing gene expression in apple roots

• Published in: PloS one Vol. 12; no. 9; p. e0185288
• Main Authors: Zhou, Zhe, Cong, Peihua, Tian, Yi, Zhu, Yanmin
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 21.09.2017; Public Library of Science (PLoS)
• Subjects: Apples; Biology and Life Sciences; Fruits; Gene expression; Gene Expression Profiling - standards; Genes; Genes, Plant - genetics; Genetic aspects; Genomes; Genotypes; Horticulture; Humidity; Malus - genetics; Malus - physiology; Malus domestica; MAP kinase; Normalizing; Physiological aspects; Plant Roots - genetics; Plant Roots - physiology; Plant tissues; Protein kinase; Pythium ultimum; Reference Standards; Research and Analysis Methods; Ribonucleic acid; RNA; RNA sequencing; Roots; Sequence Analysis, RNA; Stability analysis; Stress, Physiological - genetics; Tissues; China; United States > US
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0185288

Gene expression in apple roots in response to various stress conditions is a less-explored research subject. Reliable reference genes for normalizing quantitative gene expression data have not been carefully investigated. In this study, the suitability of a set of 15 apple genes were evaluated for their potential use as reliable reference genes. These genes were selected based on their low variance of gene expression in apple root tissues from a recent RNA-seq data set, and a few previously reported apple reference genes for other tissue types. Four methods, Delta Ct, geNorm, NormFinder and BestKeeper, were used to evaluate their stability in apple root tissues of various genotypes and under different experimental conditions. A small panel of stably expressed genes, MDP0000095375, MDP0000147424, MDP0000233640, MDP0000326399 and MDP0000173025 were recommended for normalizing quantitative gene expression data in apple roots under various abiotic or biotic stresses. When the most stable and least stable reference genes were used for data normalization, significant differences were observed on the expression patterns of two target genes, MdLecRLK5 (MDP0000228426, a gene encoding a lectin receptor like kinase) and MdMAPK3 (MDP0000187103, a gene encoding a mitogen-activated protein kinase). Our data also indicated that for those carefully validated reference genes, a single reference gene is sufficient for reliable normalization of the quantitative gene expression. Depending on the experimental conditions, the most suitable reference genes can be specific to the sample of interest for more reliable RT-qPCR data normalization.