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.     

A survey of quantitative real-time polymerase chain reaction internal reference genes for expression studies in Brassica napus

Eight reference genes of Brassica napus were evaluated using quantitative real-time polymerase chain reaction (qRT-PCR) data, focusing on vegetative tissues and developing embryos. Analyses of expression stability indicated that UP1, UBC9, UBC21, and TIP41 were the top four choices as stably expressed reference genes for vegetative tissues, whereas ACT7, UBC21, TIP41, and PP2A were the top four choices for maturing embryos. In addition, radiolabeling of overall messenger RNA (mRNA) of maturing embryos indicated that the expression patterns of the top four ranked reference genes reflected the overall mRNA content changes in maturing embryos.     

Evaluation of Candidate Reference Genes for Normalization of Quantitative RT-PCR in Soybean Tissues under Various Abiotic Stress Conditions

Quantitative RT-PCR can be a very sensitive and powerful technique for measuring differential gene expression. Changes in gene expression induced by abiotic stresses are complex and multifaceted, which make determining stably expressed genes for data normalization difficult. To identify the most suitable reference genes for abiotic stress studies in soybean, 13 candidate genes collected from literature were evaluated for stability of expression under dehydration, high salinity, cold and ABA (abscisic acid) treatments using delta CT and geNorm approaches. Validation of reference genes indicated that the best reference genes are tissue- and stress-dependent. With respect to dehydration treatment, the Fbox/ABC, Fbox/60s gene pairs were found to have the highest expression stability in the root and shoot tissues of soybean seedlings, respectively. Fbox and 60s genes are the most suitable reference genes across dehydrated root and shoot tissues. Under salt stress the ELF1b/IDE and Fbox/ELF1b are the most stably expressed gene pairs in roots and shoots, respectively, while 60s/Fbox is the best gene pair in both tissues. For studying cold stress in roots or shoots, IDE/60s and Fbox/Act27 are good reference gene pairs, respectively. With regard to gene expression analysis under ABA treatment in either roots, shoots or across these tissues, 60s/ELF1b, ELF1b/Fbox and 60s/ELF1b are the most suitable reference genes, respectively. The expression of ELF1b/60s, 60s/Fbox and 60s/Fbox genes was most stable in roots, shoots and both tissues, respectively, under various stresses studied. Among the genes tested, 60s was found to be the best reference gene in different tissues and under various stress conditions. The highly ranked reference genes identified from this study were proved to be capable of detecting subtle differences in expression rates that otherwise would be missed if a less stable reference gene was used.     

Evaluation and Validation of Reference Genes for Normalization of Quantitative Real-Time PCR Based Gene Expression Studies in Peanut

The quantitative real-time PCR (qPCR) based techniques have become essential for gene expression studies and high-throughput molecular characterization of transgenic events. Normalizing to reference gene in relative quantification make results from qPCR more reliable when compared to absolute quantification, but requires robust reference genes. Since, ideal reference gene should be species specific, no single internal control gene is universal for use as a reference gene across various plant developmental stages and diverse growth conditions. Here, we present validation studies of multiple stably expressed reference genes in cultivated peanut with minimal variations in temporal and spatial expression when subjected to various biotic and abiotic stresses. Stability in the expression of eight candidate reference genes including ADH3, ACT11, ATPsyn, CYP2, ELF1B, G6PD, LEC and UBC1 was compared in diverse peanut plant samples. The samples were categorized into distinct experimental sets to check the suitability of candidate genes for accurate and reliable normalization of gene expression using qPCR. Stability in expression of the references genes in eight sets of samples was determined by geNorm and NormFinder methods. While three candidate reference genes including ADH3, G6PD and ELF1B were identified to be stably expressed across experiments, LEC was observed to be the least stable, and hence must be avoided for gene expression studies in peanut. Inclusion of the former two genes gave sufficiently reliable results; nonetheless, the addition of the third reference gene ELF1B may be potentially better in a diverse set of tissue samples of peanut.     

Stability of Expression of Reference Genes Among Different Lentil (Lens culinaris) Genotypes Subjected to Cold Stress, White Mold Disease, and Aphanomyces Root Rot

Precise quantification of differences in gene expression between plants requires the use of “reference” genes, which are stably expressed across different lines and treatments and serve as endogenous controls for normalizing gene expression data. The objectives of this study were to determine the expression stability of several reference genes across five different lentil varieties subjected to either cold stress, inoculation with Sclerotinia sclerotiorum, the causal agent of white mold disease, or inoculation with Aphanomyces euteiches, the causal agent of Aphanomyces root rot. Expression stability was examined in the stems and leaves of plants subjected to cold stress or inoculation with S. sclerotiorum and in the roots of plants inoculated with A. euteiches. Real-time PCR assays (SYBR Green) were designed for six different genes: translation initiation factor (TIF), 18S rRNA, actin, β-tubulin-2, β-tubulin-3, and glyceraldehyde 3-phosphate dehydrogenase. TIF, actin, and 18S rRNA tended to be the most stably expressed genes, with expression stability (M) values less than 0.5 during cold stress and inoculation with A. euteiches. Two reference genes were required to normalize data from plants exposed to cold stress or inoculated with A. euteiches. The reference genes exhibited the lowest expression stability in plants inoculated with S. sclerotiorum, for which five reference genes were required to normalize data. The reference genes reported in this study appear to have a promise for examining gene expression in lentil foliar and root tissues in response to diverse abiotic and biotic factors.     

Evaluation of Reference Genes for Gene Expression Analysis Using Quantitative RT-PCR in Azospirillum brasilense

Azospirillum brasilense is a nitrogen fixing bacterium that has been shown to have various beneficial effects on plant growth and yield. Under normal conditions A. brasilense exists in a motile flagellated form, which, under starvation or stress conditions, can undergo differentiation into an encapsulated, cyst-like form. Quantitative RT-PCR can be used to analyse changes in gene expression during this differentiation process. The accuracy of quantification of mRNA levels by qRT-PCR relies on the normalisation of data against stably expressed reference genes. No suitable set of reference genes has yet been described for A. brasilense. Here we evaluated the expression of ten candidate reference genes (16S rRNA, gapB, glyA, gyrA, proC, pykA, recA, recF, rpoD, and tpiA) in wild-type and mutant A. brasilense strains under different culture conditions, including conditions that induce differentiation. Analysis with the software programs BestKeeper, NormFinder and GeNorm indicated that gyrA, glyA and recA are the most stably expressed reference genes in A. brasilense. The results also suggested that the use of two reference genes (gyrA and glyA) is sufficient for effective normalisation of qRT-PCR data.     

Reference gene selection for RT-qPCR analysis of Chrysanthemum lavandulifolium during its flowering stages

Quantitative real-time RT-PCR (RT-qPCR) is a technology that can be used to analyze the abundance of gene expression. Reference genes, which are assumed to remain at constant levels in different tissues at various developmental stages and photoperiodic treatments, were selected to analyze the expression levels of flowering time genes and floral development genes. Using digital gene expression technology, nine reference genes with moderate expression in the leaves of Chrysanthemum lavandulifolium at the juvenile phase (CK1) and the squaring stage (W1) were selected as the candidate reference genes for further study. A total of 115 biological samples of C. lavandulifolium were analyzed, including different tissues under various developmental stages and leaves with varied photoperiodic treatments. The stability of the nine reference genes was slightly variable across the samples, but MTP, SKIP16 and PGK were the most stable genes overall. In addition, the relative expression level of ClFT in different tissues of plants with the competence to flower was analyzed to verify the reference genes selected in this study. These studies provide a guide for selecting reference genes for analyzing the expression pattern of flowering time genes and floral development genes in C. lavandulifolium.     

Screening of valid reference genes for real-time RT-PCR data normalization in Hevea brasiliensis and expression validation of a sucrose transporter gene HbSUT3

Real-time RT-PCR (RT-qPCR) is a sensitive and precise method of quantifying gene expression, however, suitable reference genes are required. Here, a systematic reference gene screening was performed by RT-qPCR on 22 candidate genes in Hevea brasiliensis. Two ubiquitin-protein ligases (UBC2a and UBC4) were the most stable when all samples were analyzed together. A mitosis protein (YLS8) and a eukaryotic translation initiation factor (eIF1Aa) were the most stable in response to tapping. UBC2b and UBC1 were the most stable among different genotypes. UBC2b and a DEAD box RNA helicase (RH2b) were the most stable across individual trees. YLS8 and RH8 were most stably expressed in hormone-treated samples. Expression of the candidate reference genes varied significantly across different tissues, and at least four genes (RH2b, RH8, UBC2a and eIF2) were needed for expression normalization. In addition, examination of relative expression of a sucrose transporter HbSUT3 in different RNA samples demonstrated the importance of additional reference genes to ensure accurate quantitative expression analysis. Overall, our work serves as a guide for selection of reference genes in RT-qPCR gene expression studies in H. brasiliensis.