Defining reference genes for quantitative real-time PCR analysis of anther development in rice

Abstract

Quantitative real-time polymerase chain reaction (qPCR) is one of the most accurate and widely used methods for gene expression analysis. However, the choice of reference genes for normalization is critical for accurate quantification of gene expression. As development of genomics, mining large-scale datasets such as microarray and RNA-sequencing data becomes a new approach for exploitation of new reference genes. In this study, we analyzed an RNA-sequencing dataset of rice anther and 167 microarray datasets involving different tissues and developing stages of rice anthers and pollens. We selected 12 candidate genes and other 5 reference genes, including ACT1, eEF-1α, GAPDH, Exp2, and CCDC72 used in previous studies, and evaluated their expression in eight tissues and different developmental stages of anthers in rice variety 9311 and Yuetai. UPF3, eIF4A-3, GAPDH, and PPP6 were identified as the most suitable reference genes for qPCR analysis of anther development in rice. The new candidate reference genes showed more stable expression than the traditionally used reference genes. These results provide a set of reliable reference genes for studies in rice anther developmental process.