Evaluation of reference genes for real-time quantitative PCR studies in

ABSTRACT: BACKGROUND: The selection of stable and suitable reference genes for real-time quantitative PCR (RT-qPCR) is a crucial prerequisite for reliable gene expression analysis under different experimental conditions. The present study aimed to identify reference genes as internal controls for gene expression studies by RT-qPCR in azole-stimulated Candida glabrata. RESULTS: The expression stability of 16 reference genes under fluconazole stress was evaluated using fold change and standard deviation computations with the hkgFinder tool. Our data revealed that the mRNA expression levels of three ribosomal RNAs (RDN5.8, RDN18, and RDN25) remained stable in response to fluconazole, while PGK1, UBC7, and UBC13 mRNAs showed only approximately 2.9-, 3.0-, and 2.5-fold induction by azole, respectively. By contrast, mRNA levels of the other 10 reference genes (ACT1, EF1a, GAPDH, PPIA, RPL2A, RPL10, RPL13A, SDHA, TUB1, and UBC4) were dramatically increased in C. glabrata following antifungal treatment, exhibiting changes ranging from 4.5- to 32.7-fold. We also assessed the expression stability of these reference genes using the 2-[increment][increment]CT method and three other software packages. The stability rankings of the reference genes by geNorm and the 2-[increment][increment]CT method were identical to those by hkgFinder, whereas the stability rankings by BestKeeper and NormFinder were notably different. We then validated the suitability of six candidate reference genes (ACT1, PGK1, RDN5.8, RDN18, UBC7, and UBC13) as internal controls for ten target genes in this system using the comparative CT method. Our validation experiments passed for all six reference genes analyzed except RDN18, where the amplification efficiency of RDN18 was different from that of the ten target genes. Finally, we demonstrated that the relative quantification of target gene expression varied according to the endogenous control used, highlighting the importance of the choice of internal controls in such experiments. CONCLUSIONS: We recommend the use of RDN5.8, UBC13, and PGK1 alone or the combination of RDN5.8 plus UBC13 or PGK1 as reference genes for RT-qPCR analysis of gene expression in C. glabrata following azole treatment. In contrast, we show that ACT1 and other commonly used reference genes (GAPDH, PPIA, RPL13A, TUB1, etc.) were not validated as good internal controls in the current model.     

Selection of suitable reference genes for quantitative real-time PCR in trabecular meshwork cells under oxidative stress

Oxidative stress-induced dysfunction in trabecular meshwork (TM) cells is considered a major alteration that can lead to glaucoma. Hydrogen peroxide (H₂O₂) is the most widely used agent for inducing oxidation in TM cells in vitro. Quantitative real-time PCR (qPCR) is an important method for studying alterations in gene expression, and suitable (i.e. invariant) reference genes must be defined to normalize expression levels. In this study, eight common reference genes, i.e. PRS18, ACTB, B2M, GAPDH, PPIA, HPRT1, YWHAZ, and TBP, were evaluated for use in studies of H₂O₂-induced dysfunction in TM cells. Three established algorithms, geNorm, NormFinder, and BestKeeper, were used to analyze the reference genes. ACTB expression was least affected by H₂O₂ treatment in TM cells, and the combination of PPIA and HPRT1 was the most suitable gene pair for normalization. GAPDH and TBP were the most unstable genes and accordingly should be avoided in experiments with TM cells. These results provide a foundation for analyses of the mechanisms underlying glaucoma, and emphasize the importance of selecting suitable reference genes for qPCR studies.     

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

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 quantifica- tion of gene expression. As development of genomics, mining large-scale datasets such as microarray and RNAsequencing data becomes a new approach for exploitation of new reference genes. In this study, we analyzed an RNAsequencing 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, elF4A-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.     

Identification and evaluation of reference genes for quantitative real-time PCR analysis in Passiflora edulis under stem rot condition

Molecular Biology Reports - Passion fruit (Passiflora edulis), an important tropical and subtropical fruit, has a high edible and medicinal value. Stem rot disease is one of the most important...     

蜜环菌(Armillaria mellea)内参基因的筛选

[背景]蜜环菌属(Armillaria)是一类营腐生或寄生生活的药食两用型真菌,研究其功能基因表达具有重要意义。[目的]筛选并获得蜜环菌(Armillaria mellea)最稳定的内参基因。[方法]以蜜环菌(A.mellea)541为研究对象,以马铃薯琼脂糖培养基培养的菌丝和菌索为对照组,以添加还原型烟酰胺腺嘌呤二核苷酸磷酸(nicotinamide adenine dinucleotide phosphate,NADPH)氧化酶抑制剂氯化二亚苯基碘鎓(diphenyleneiodonium chloride,DPI)培养的菌丝和菌索为抑制剂组,以添加木屑培养的菌丝和菌索为诱导剂组,利用RT-qPCR技术和BestKeeper程序系统评估候选内参基因ACT-1、α-TUB、β-TUB 1、γ-TUB、UBQ、EF-lγ、18S rRNA biogenesis protein基因(18S rRNA BP)和GAPDH的表达量稳定性。[结果]内参基因EF-1γ在对照组、DPI抑制剂组和木屑诱导剂组中的表达量稳定性最好。[结论]EF-1γ为蜜环菌(A.mellea)的最佳内参基因,为蜜环菌属真菌功能基因表达研究提供了参考。     

Identification and testing of reference genes for Sesame gene expression analysis by quantitative real-time PCR

Sesame (Sesamum indicum L.) is an ancient and important oilseed crop. However, few sesame reference genes have been selected for quantitative real-time PCR until now. Screening and validating reference genes is a requisite for gene expression normalization in sesame functional genomics research. In this study, ten candidate reference genes, i.e., SiACT, SiUBQ6, SiTUB, Si18S rRNA, SiEF1α, SiCYP, SiHistone, SiDNAJ, SiAPT and SiGAPDH, were chosen and examined systematically in 32 sesame samples. Three qRT-PCR analysis methods, i.e., geNorm, NormFinder and BestKeeper, were evaluated systematically. Results indicated that all ten candidate reference genes could be used as reference genes in sesame. SiUBQ6 and SiAPT were the optimal reference genes for sesame plant development; SiTUB was suitable for sesame vegetative tissue development, SiDNAJ for pathogen treatment, SiHistone for abiotic stress, SiUBQ6 for bud development and SiACT for seed germination. As for hormone treatment and seed development, SiHistone, SiCYP, SiDNAJ or SiUBQ6, as well as SiACT, SiDNAJ, SiTUB or SiAPT, could be used as reference gene, respectively. To illustrate the suitability of these reference genes, we analyzed the expression variation of three functional sesame genes of SiSS, SiLEA and SiGH in different organs using the optimal qRT-PCR system for the first time. The stability levels of optimal and worst reference genes screened for seed development, anther sterility and plant development were validated in the qRT-PCR normalization. Our results provided a reference gene application guideline for sesame gene expression characterization using qRT-PCR system.     

Gene expression studies of reference genes for quantitative real-time PCR: an overview in insects

Whenever gene expression is being examined, it is essential that a normalization process is carried out to eliminate non-biological variations. The use of reference genes, such as glyceraldehyde-3-phosphate dehydrogenase, actin, and ribosomal protein genes, is the usual method of choice for normalizing gene expression. Although reference genes are used to normalize target gene expression, a major problem is that the stability of these genes differs among tissues, developmental stages, species, and responses to abiotic factors. Therefore, the use and validation of multiple reference genes are required. This review discusses the reasons that why RT-qPCR has become the preferred method for validating results of gene expression profiles, the use of specific and non-specific dyes and the importance of use of primers and probes for qPCR as well as to discuss several statistical algorithms developed to help the validation of potential reference genes. The conflicts arising in the use of classical reference genes in gene normalization and their replacement with novel references are also discussed by citing the high stability and low stability of classical and novel reference genes under various biotic and abiotic experimental conditions by employing various methods applied for the reference genes amplification.     

Selection of reference genes for quantitative real-time PCR in six oil-tea camellia based on RNA-seq

qRT-PCR is becoming a routine tool in molecular biology to study gene expression. It is necessary to find stable reference genes when performing qRT-PCR. The expression of genes cloned in oil-tea camellia currently cannot be accurately analyzed due to a lack of suitable reference genes. We collected different tissues (including roots, stems, leaves, flowers and seeds) from six oil-tea camellia species to determine stable reference genes. Five novel and ten traditional reference gene sequences were selected from the RNA-seq database of Camellia oleifera Abel seeds and specific PCR Primers were designed for each. Cycle threshold (C _t) data were obtained from each reaction for all samples. Three different software tools, geNorm, NormFinder and Best-Keeper were applied to calculate the expression stability of the candidate reference genes according to the C _t values. The results were similar between the three software packages, and indicated that the traditional genes TUBα-3, ACT7α and the novel gene CESA were relatively stable in all species and tissues. However, no genes were sufficiently stable across all species and tissues, thus the optimal number of reference genes required for accurate normalization varied from 2 to 6. Finally, the relative expression of squalene synthase (SQS) and squalene epoxidase (SQE) genes related to important ingredients squalene and tea saponin in oil-tea camellia seeds were compared by using stable to less stable reference genes. The comparison results validated the selection of reference genes in the current study. In summary, for the different tissues of six oil-tea camellia species different optimal numbers of suitable reference genes were found.