Selection of candidate reference genes for real-time PCR studies in lettuce under abiotic stresses

The process of selection and validation of reference genes is the first step in studies of gene expression by real-time quantitative polymerase chain reaction (RT-qPCR). The genome of lettuce, the most popular leaf vegetable cultivated worldwide, has recently been sequenced; therefore, suitable reference genes for reliable results in RT-qPCR analyses are required. In the present study, 17 candidate reference genes were selected, and their expression stability in lettuce leaves under drought, salt, heavy metal, and UV-C irradiation conditions and under the application of abscisic acid (ABA) was evaluated using geNorm and NormFinder software. The candidate reference genes included protein-coding traditional and novel reference genes and microRNAs (miRNAs). The results indicate that the expression stability is dependent on the experimental conditions. The novel protein-coding reference genes were more suitable than the traditional reference genes under drought, UV-C irradiation, and heavy metal conditions and under the application of ABA. Only under salinity conditions were the traditional protein-coding reference genes more stable than the novel genes. In addition, the miRNAs, mainly MIR169, MIR171/170 and MIR172, were stably expressed under the abiotic stresses evaluated, representing a suitable alternative approach for gene expression data normalization. The expression of phenylalanine ammonia lyase (PAL) and 4-hydroxyphenylpyruvate dioxygenase (HPPD) was used to further confirm the validated protein-coding reference genes, and the expression of MIR172 and MIR398 was used to confirm the validated miRNA genes, showing that the use of an inappropriate reference gene induces erroneous results. This work is the first survey of the stability of reference genes in lettuce and provides guidelines to obtain more accurate RT-qPCR results in lettuce studies.     

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.     

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.     

Identification and validation of reference genes for Populus euphratica gene expression analysis during abiotic stresses by quantitative real‐time PCR

Populus euphratica is the only arboreal species that is established in the world's largest shifting‐sand desert in China and is well‐adapted to the extreme desert environment, so it is widely considered a model system for researching into abiotic stress resistance of woody plants. However, few P. euphratica reference genes (RGs) have been identified for quantitative real‐time polymerase chain reaction (qRT‐PCR) until now. Validation of suitable RGs is essential for gene expression normalization research. In this study, we screened 16 endogenous candidate RGs in P. euphratica leaves in six abiotic stress treatments, including abscisic acid (ABA), cold, dehydration, drought, short‐duration salt (SS) and long‐duration salt (LS) treatments, each with 6 treatment gradients. After calculation of PCR efficiencies, three different software tools, NormFinder, geNorm and BestKeeper, were employed to analyze the qRT‐PCR data systematically, and the outputs were merged by means of a non‐weighted unsupervised rank aggregation method. The genes selected as optimal for gene expression analysis of the six treatments were RPL17 (ribosomal protein L17) in ABA, EF1α (elongation factor‐1 alpha) in cold, HIS (histone superfamily protein H3) in dehydration, GIIα in drought and SS, and TUB (tubulin) in LS. The expression of 60S (the 60S ribosomal protein) varied the least during all treatments. To illustrate the suitability of these RGs, the relative quantifications of three stress‐inducible genes, PePYL1, PeSCOF‐1 and PeSCL7 were investigated with different RGs. The results, calculated using qBasePlus software, showed that compared with the least‐appropriate RGs, the expression profiles normalized by the recommended RGs were closer to expectations. Our study provided an important RG application guideline for P. euphratica gene expression characterization.     

Selection of reference genes for gene expression studies in ultraviolet B-irradiated human skin fibroblasts using quantitative real-time PCR

Background  

Reference genes are frequently used to normalise mRNA levels between different samples. The expression level of these genes, however, may vary between tissues or cells and may change under certain circumstances. Cytoskeleton genes have served as multifunctional tools for experimental studies as reference genes. Our previous studies have demonstrated that the expression of vimentin, one cytoskeletal protein, was increased in ultraviolet B (UVB)-irradiated fibroblasts. Thus, we examined the expression of other cytoskeleton protein genes, ACTB (actin, beta), TUBA1A (tubulin, alpha 1a), and TUBB1 (tubulin, beta 1), in human dermal fibroblasts irradiated by UVB to determine which of these candidates were the most appropriate reference genes.     

Selection of reliable reference genes for gene expression studies in peach using real-time PCR

Background  

RT-qPCR is a preferred method for rapid and reliable quantification of gene expression studies. Appropriate application of RT-qPCR in such studies requires the use of reference gene(s) as an internal control to normalize mRNA levels between different samples for an exact comparison of gene expression level. However, recent studies have shown that no single reference gene is universal for all experiments. Thus, the identification of high quality reference gene(s) is of paramount importance for the interpretation of data generated by RT-qPCR. Only a few studies on reference genes have been done in plants and none in peach (Prunus persica L. Batsch). Therefore, the present study was conducted to identify suitable reference gene(s) for normalization of gene expression in peach.     

Selection of reference genes for gene expression studies in human neutrophils by real-time PCR

Background  

Reference genes, which are often referred to housekeeping genes, are frequently used to normalize mRNA levels between different samples. However the expression level of these genes may vary among tissues or cells, and may change under certain circumstances. Thus the selection of reference gene(s) is critical for gene expression studies. For this purpose, 10 commonly used housekeeping genes were investigated in isolated human neutrophils.     

Selection of suitable reference genes for real-time PCR studies of Atlantic halibut development

Gene expression studies are fundamental to understand the molecular basis of severe malformations in fish development, particularly under aquaculture conditions. Real-time PCR (qPCR) is the most accurate method of quantifying gene expression, provided that suitable endogenous controls are used to normalize the data. To date, no reference genes have been validated for developmental gene expression studies in Atlantic halibut (Hippoglossus hippoglossus). We have determined the expression profiles of 6 candidate reference genes (Actb, Eef2, Fau, Gapdh, Tubb2 and 18S rRNA) in 6 embryonic and 5 larval stages of Atlantic halibut development. There were significant changes in expression levels throughout development, which stress the importance and complexity of finding appropriate reference genes. The three software applications (BestKeeper, geNorm and NormFinder) used to evaluate the stability of potential reference genes produced comparable results. Tubb2 and Actb were the most stable genes across the different developmental stages, whereas 18S rRNA and Gapdh were the most variable genes and thus inappropriate to use as reference genes. According to geNorm and NormFinder, the best two-gene normalization factors corresponded to the geometric average of Tubb2/Actb and Tbb2/Fau, respectively. We believe that either of these normalization factors can be used for future developmental gene expression studies in Atlantic halibut.     

Evaluation of appropriate reference genes for gene expression studies in pepper by quantitative real-time PCR

Quantitative real-time polymerase chain reaction (qRT-PCR) has been extensively used in several plant species as an accurate technique for gene expression analysis. However, the expression level of a target gene may be misconstrued due to unstable expression of the reference genes under different experimental conditions. Therefore, it is necessary to systematically evaluate these reference genes before experiments are conducted. Recently, more and more studies have focused on gene expression in pepper (Capsicum annuum L.). In this study, ten putative reference genes were chosen to identify expression stability by using geNorm and NormFinder statistical algorithms in ten different pepper sample pools, including those from different plant tissues (root, stem, leaf and flower) and from plants treated with hormones (salicylic acid and gibberellic acid) and abiotic stresses (cold, heat, salt and drought). EF1?? and UEP exhibited the most stable expression across all of the tested pepper samples. For abiotic stress or different hormone treatment, the ranking of candidate reference genes was not completely consistent, except for EF1?? which showed a relatively stable expression level. For different tissues, the expression of Actin1 was stable and it was considered an appropriate reference gene. It is concluded that EF1??, UEP and Actin1 are suitable reference genes for reliable qRT-PCR data normalization for the tissues and experimental conditions used in this experiment.