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.     

Evaluation and Validation of Housekeeping Genes as Reference for Gene Expression Studies in Pigeonpea (Cajanus cajan) Under Drought Stress Conditions

Gene expression analysis using quantitative real-time PCR (qRT-PCR) is a very sensitive technique and its sensitivity depends on the stable performance of reference gene(s) used in the study. A number of housekeeping genes have been used in various expression studies in many crops however, their expression were found to be inconsistent under different stress conditions. As a result, species specific housekeeping genes have been recommended for different expression studies in several crop species. However, such specific housekeeping genes have not been reported in the case of pigeonpea (Cajanus cajan) despite the fact that genome sequence has become available for the crop. To identify the stable housekeeping genes in pigeonpea for expression analysis under drought stress conditions, the relative expression variations of 10 commonly used housekeeping genes (EF1α, UBQ10, GAPDH, 18SrRNA, 25SrRNA, TUB6, ACT1, IF4α, UBC and HSP90) were studied on root, stem and leaves tissues of Asha (ICPL 87119). Three statistical algorithms geNorm, NormFinder and BestKeeper were used to define the stability of candidate genes. geNorm analysis identified IF4α and TUB6 as the most stable housekeeping genes however, NormFinder analysis determined IF4α and HSP90 as the most stable housekeeping genes under drought stress conditions. Subsequently validation of the identified candidate genes was undertaken in qRT-PCR based gene expression analysis of uspA gene which plays an important role for drought stress conditions in pigeonpea. The relative quantification of the uspA gene varied according to the internal controls (stable and least stable genes), thus highlighting the importance of the choice of as well as validation of internal controls in such experiments. The identified stable and validated housekeeping genes will facilitate gene expression studies in pigeonpea especially under drought stress conditions.     

Evaluation and selection of reliable reference genes for gene expression under abiotic stress in cotton (Gossypium hirsutum L.)

Reference genes are critical for normalization of the gene expression level of target genes. The widely used housekeeping genes may change their expression levels at different tissue under different treatment or stress conditions. Therefore, systematical evaluation on the housekeeping genes is required for gene expression analysis. Up to date, no work was performed to evaluate the housekeeping genes in cotton under stress treatment. In this study, we chose 10 housekeeping genes to systematically assess their expression levels at two different tissues (leaves and roots) under two different abiotic stresses (salt and drought) with three different concentrations. Our results show that there is no best reference gene for all tissues at all stress conditions. The reliable reference gene should be selected based on a specific condition. For example, under salt stress, UBQ7, GAPDH and EF1A8 are better reference genes in leaves; TUA10, UBQ7, CYP1, GAPDH and EF1A8 were better in roots. Under drought stress, UBQ7, EF1A8, TUA10, and GAPDH showed less variety of expression level in leaves and roots. Thus, it is better to identify reliable reference genes first before performing any gene expression analysis. However, using a combination of housekeeping genes as reference gene may provide a new strategy for normalization of gene expression. In this study, we found that combination of four housekeeping genes worked well as reference genes under all the stress conditions.     

Internal standards for quantitative RT-PCR studies of gene expression under drought treatment in barley (<Emphasis Type="Italic">Hordeum vulgare</Emphasis> L.): the effects of developmental stage and leaf age

Drought is the most significant abiotic stress in agriculture; thus, this area of studies seems to be one of the most important challenges in plant biology. Data about gene expression under drought are crucial to study drought response mechanisms and to select the genes for a transgenic approach. Quantitative RT-PCR is a powerful method for gene expression analysis; however, obtaining proper data normalization requires internal reference genes with stable level of expression. In the present paper ten potential reference genes were examined in two developmental stages of barley for their expression stability during leaf growth and increasing drought level. The results indicated that leaf growth per se affects the expression of studied genes to the similar extent as the drought and showed that different genes were most stably expressed in the seedling and the heading stage. As a result, different sets of reference genes were selected for different applications. For instance, ADP-ribozylation factor 1 and ubiquitin encoding genes were most suitable to study drought-induced changes in gene expression at the seedling stage, whereas actin and GAPDH genes were useful during heading, and ADP-ribozylation factor 1 and HSP90 allowed for the comparison between these two stages. Our data proved the necessity for validation of commonly used reference genes. The results indicate that expression of ADP seems to be the least affected by all the factors studied in the present experiment. However, when the effect of only one factor among those investigated in this work will be studied, different genes should be considered to be used as the references due to the higher stability of their expression.     

Selection and Evaluation of Reference Genes for Expression Analysis Using qRT-PCR in the Beet Armyworm Spodoptera exigua (Hübner) (Lepidoptera: Noctuidae)

Quantitative real-time PCR (qRT-PCR) is a reliable and reproducible technique for measuring and evaluating changes in gene expression. The most common method for analyzing qRT-PCR data is to normalize mRNA levels of target genes to internal reference genes. Evaluating and selecting stable reference genes on a case-by-case basis is critical. The present study aimed to facilitate gene expression studies by identifying the most suitable reference genes for normalization of mRNA expression in qRT-PCR analysis of the beet armyworm Spodoptera exigua (Lepidoptera: Noctuidae). For this purpose, three software tools (geNorm, NormFinder and BestKeeper) were used to investigate 10 candidate reference genes in nine developmental stages and five different tissues (epidermis, head, midgut, fat body and hemolymph) in three larval physiological stages (molting, feeding and wandering stages) of, S. exigua. With the exception of 18S ribosomal RNA (18S), all other candidate genes evaluated, β-actin1(ACT1), β-actin2 (ACT2), elongation factor1(EF1), elongation factor 2 (EF2), Glyceralde hyde-3-phosphate dehydrogenase (GAPDH), ribosomal protein L10 (L10), ribosomal protein L17A (L17A), superoxide dismutase (SOD), α-tubulin (TUB),proved to be acceptable reference genes. However, their suitability partly differed between physiological stages and different tissues. L10, EF2 and L17A ranked highest in all tissue sample sets. SOD, ACT2, GAPDH, EF1 and ACT1 were stably expressed in all developmental stage sample sets; ACT2, ACT1 and L10 for larvae sample sets; GAPDH, ACT1 and ACT2 for pupae and adults; SOD and L17A for males; and EF2 and SOD for females. The expression stability of genes varied in different conditions. The findings provided here demonstrated, with a few exceptions, the suitability of most of the 10 reference genes tested in tissues and life developmental stages. Overall, this study emphasizes the importance of validating reference genes for qRT-PCR analysis in S. exigua.     

Validation of internal control genes for quantitative gene expression studies in chickpea (Cicer arietinum L.)

The real-time polymerase chain reaction (PCR) data requires normalization with an internal control gene expressed at constant levels under all the experimental conditions being analyzed for accurate and reliable gene expression results. In this study, the expression of 12 candidate internal control genes, including ACT1, EF1α, GAPDH, IF4a, TUB6, UBC, UBQ5, UBQ10, 18SrRNA, 25SrRNA, GRX and HSP90, in a diverse set of 18 tissue samples representing different organs/developmental stages and stress conditions in chickpea (Cicer arietinum L.) has been validated. Their expression levels vary considerably in various tissue samples analyzed. The expression levels of EF1α and HSP90 are most constant across various organs/developmental stages analyzed. Similarly, the expression levels of IF4a and GAPDH are most constant across various stress conditions. A set of two most stable genes is found sufficient for accurate and reliable normalization of real-time PCR data in the given set of tissue samples of chickpea. The genes with most constant expression identified in this study should be useful for normalization of gene expression data in a wide variety of tissue samples in chickpea.     

Reference genes for quantitative real-time PCR analysis in the model plant foxtail millet (Setaria italica L.) subjected to abiotic stress conditions

Reference genes are standards for quantifying gene expression through quantitative real-time PCR (qRT-PCR); however, the variation observed in their expression levels is the major hindrance towards realising their effective use. Hence, a systematic validation of reference genes is required to ensure proper normalization. However, no such study has been conducted in foxtail millet [Setaria italica (L.)], which has recently emerged as a model crop for genetic and genomic studies. In the present study, 8 commonly used reference genes were evaluated, including 18S ribosomal RNA, elongation factor-1α, Actin2, alpha tubulin, beta tubulin, translation factor, RNA polymerase II and adenine phosphoribosyl transferase. Expression stability of candidate internal control genes was investigated under salinity and dehydration treatments. The results obtained suggested a wide range of Ct values and variable expression of all reference genes. geNorm and NormFinder analysis had revealed that Act2 and RNA POL II are suitable reference genes for salinity stress-related studies and EF-1α and RNA POL II are appropriate internal controls for dehydration stress-related expression analyses. These qualified reference genes has also been validated for relative quantification of 14-3-3 expression analysis which demonstrated their applicability. Thus, this is the first report on selection and validation of superior reference genes for qRT-PCR in foxtail millet under different abiotic stress conditions.     

Validation of reference genes for gene expression analysis in Valsa mali var. mali using real-time quantitative PCR

Valsa mali var. mali (Vmm), is the predominant species of apple valsa canker in China. Modern analysis of genes involved in virulence or pathogenicity usually implicate gene expression analysis most often performed using real-time quantitative polymerase chain reaction (RT-qPCR). However, for relative gene expression analysis pertinent reference genes have to be validated before using them as internal reference. This has not been reported for Vmm, so far. Therefore, eight commonly used housekeeping genes (ACT, CYP, EF1-α, G6PDH, GAPDH, L13, TUB, and UBQ) were cloned and evaluated for their expression stability by geNorm and NormFinder. Overall, all of the candidate reference genes were found to be suitable for gene expression analysis. After analysis of 10 samples from different strains and abiotic stress treatments, G6PDH appeared to be the most suitable reference gene, whereas GAPDH was the least suitable. Moreover, taking G6PDH combined with L13 or CYP as reference genes, improved the reliability of RT-qPCR significantly. The influence of the reference system on expression data was demonstrated by analyzing Vmmpg-1 encoding an endo-polygalacturonase gene. Pectinases are considered key pathogenicity factors for this fungus. In order to better understand the role of pectinases in pathogenicity of Vmm, RT-qPCR was used for expression analysis. Our results may provide a guideline for future studies on gene expression of V. mali var. mali by using RT-qPCR.     

Selection of appropriate reference genes for gene expression studies by quantitative real-time polymerase chain reaction in cucumber

Quantitative real-time polymerase chain reaction (QRT-PCR) has become one of the most widely used methods for gene expression analysis. However, the expression profile of a target gene may be misinterpreted due to unstable expression of the reference genes under different experimental conditions. Thus, a systematic evaluation of these reference genes is necessary before experiments are performed. In this study, 10 putative reference genes were chosen for identifying expression stability using geNorm, NormFinder, and BestKeeper statistical algorithms in 12 different cucumber sample pools, including those from different plant tissues and from plants treated with hormones and abiotic stresses. EF1α and UBI-ep exhibited the most stable expression across all of the tested cucumber samples. In different tissues, in addition to expression of EF1α and UBI-ep, the expression of TUA was also stable and was considered as an appropriate reference gene. Evaluation of samples treated with different hormones revealed that TUA and UBI-ep were the most stably expressed genes. However, for abiotic stress treatments, only EF1α showed a relatively stable expression level. In conclusion, TUA, UBI-ep, and EF1α will be particularly helpful for reliable QRT-PCR data normalization in these types of samples. This study also provides guidelines for selecting different reference genes under different conditions.     

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.