Reference gene validation for quantitative RT-PCR during biotic and abiotic stresses in Vitis vinifera.

Accurate gene expression quantification using reverse transcription quantitative PCR (RT-qPCR) requires stable reference genes (RGs) for reliable normalization. However, few studies have systematically identified RGs suitable for simultaneous high salt, alkaline, and high-temperature conditions. This study addresses this gap by evaluating the stability of eight candidate RGs in the anaerobic halophilic alkalithermophile Natranaerobius thermophilus JW/NM-WN-LFT under combined salt, alkali, and thermal stresses. The stability of these candidate RGs was assessed using five statistical algorithms: Delta CT, geNorm, NormFinder, BestKeeper, and RefFinder. Results indicated that recA exhibited the highest expression stability across all tested conditions and proved adequate as a single RG for normalization in both RT-qPCR and droplet digital PCR (ddPCR) assays. Furthermore, recA alone or combined with other RGs (sigA, rsmH) effectively normalized the expression of seven stress-response genes (proX, opuAC, mnhE, nhaC, trkH, ducA, and pimT). This work represents the first systematic validation of RGs under polyextreme stress conditions, providing essential guidelines for future gene expression studies in extreme environments and aiding research on microbial adaptation mechanisms in halophilic, alkaliphilic, and thermophilic microorganisms.

Quantitative real-time reverse transcriptase PCR (qRT-PCR) is a sensitive and powerful technique for measuring differential gene expression; however, changes in gene expression induced by abiotic stresses are complex and multifaceted. Therefore, a set of stably expressed reference genes for data normalization is required. Switchgrass (Panicum virgatum L.) is a prime candidate crop for bioenergy production. The expression stability of reference genes in switchgrass, especially under different experimental conditions, is largely unknown. In order to identify the most suitable reference genes for abiotic stress studies in switchgrass, we evaluated 14 candidate genes for their expression stability under drought, high salinity, cold, heat, and waterlogging treatments using the Delta Ct, geNorm, BestKeeper, and NormFinder approaches. Validation of reference genes indicated that the best reference genes should be selected based on the stress treatment. Actin 2 (ACT2), carotenoid-binding protein 20 (CBP20), and Tubulin (TUB) were found to have the highest expression stability to study drought stress. 18S ribosomal RNA1 (18S rRNA1), ACT2, and TUB were the most stably expressed genes under salt stress. Ubiquitin-conjugating enzyme (UBC), TUB, and cyclophilin2 (CYP2) were the most suitable reference genes across cold treatments. Likewise, 18S rRNA1, UBC, and TUB were good reference genes for studying heat stress, while ACT2, 18S rRNA1, and ubiquitin3 (UBQ3) were the top three reference genes under waterlogging treatment. Considering that reference gene expression may vary across switchgrass tissues, ACT2 and 18S ribosomal RNA2 (18S rRNA2) were shown to be the most stably expressed genes in switchgrass leaves and roots, respectively. The highly ranked reference genes that were identified in this study were shown to be capable of detecting subtle differences in the expression rates of other genes. These differences may have been missed if a less suitable reference gene was used.

The accuracy of reverse transcription quantitative real-time PCR (RT-qPCR) strongly depends on the stability of reference gene. It is essential to select a suitable reference gene in order to obtain reliable RT-qPCR results when gene expression profiles were evaluated. Callerya speciosa, a traditional Chinese medicine, has a long cultivation history in south China. However, suitable reference genes in C. speciosa have not yet been investigated for accurate gene expression quantification under different experimental conditions. In this study, eight candidate reference genes, including GAPDH (glyceraldehyde-3-phosphate dehydrogenase), 60S (60S ribosomal protein L34), ACTIN (actin), TUA2 (tubulin alpha chain), TUB1 (tubulin beta-1 chain), TIF5 (eukaryotic translation initiation factor 5A), UBQ (polyubiquitin), and EF2 (elongation factor 2), were selected from the transcriptome databases, and their expression stability under six different experimental conditions (developmental stages, tissues, MeJA treatment, GA3 treatment, CPPU treatment, and PP333 treatment) was evaluated using ΔCT, geNorm, NormFinder, BestKeeper, and RefFinder programs. The results showed that GAPDH was the optimal reference gene for all different experimental conditions, whereas ACTIN showed the best stability under most of the hormone treatments. TUA2 and EF2 were the two least suitable ones as reference genes in C. speciosa. The expression pattern of CsMYB36, a gene associated with the regulation of isoflavonoid biosynthesis in C. speciosa, verified the accuracy of our experimental results. These results provided a theoretical basis for subsequent research on the regulation of functional gene expression in C. speciosa and other Callerya species in the future.

BackgroundNitraria sibirica Pall. is a halophytic shrub with strong environmental adaptability that can survive in extremely saline-alkali and drought-impacted environments. Gene expression analysis aids in the exploration of the molecular mechanisms of plant responses to abiotic stresses. RT–qPCR is the most common technique for studying gene expression. Stable reference genes are a prerequisite for obtaining accurate target gene expression results in RT–qPCR analysis.ResultsIn this study, a total of 10 candidate reference genes were selected from the transcriptome of N. sibirica, and their expression stability in leaves and roots under different treatment conditions (salt, alkali, drought, cold, heat and ABA) was evaluated with the geNorm, NormFinder, BestKeeper, comparative ΔCt and RefFinder programs. The results showed that the expression stability of the candidate reference genes was dependent on the tissue and experimental conditions tested. ACT7 combined with R3H, GAPDH, TUB or His were the most stable reference genes in the salt- or alkali-treated leaves, salt-treated roots and drought-treated roots, respectively; R3H and GAPDH were the most suitable combination for drought-treated leaves, heat-treated root samples and ABA-treated leaves; DIM1 and His maintained stable expression in roots under alkali stress; and TUB combined with R3H was stable in ABA-treated roots. TBCB and GAPDH exhibited stable expression in heat-treated leaves; TBCB, R3H, and ERF3A were stable in cold-treated leaves; and the three most stable reference genes for cold-treated roots were TBCB, ACT11 and DIM1. The reliability of the selected reference genes was further confirmed by evaluating the expression patterns of the NsP5CS gene under the six treatment conditions.ConclusionThis study provides a theoretical reference for N. sibirica gene expression standardization and quantification under various abiotic stress conditions and will help to reveal the molecular mechanisms that confer stress tolerance to N. sibirica.

Salix matsudana is a deciduous, rapidly growing willow species commonly cultivated in China, which can tolerate drought, salt, and heavy metal stress conditions. Selection of suitable reference genes for quantitative real-time PCR is important for normalizing the expression of the key genes associated with various stresses. To validate suitable reference genes, we selected 11 candidate reference genes (five traditional housekeeping genes and six novel genes) and analyzed their expression stability in various samples, including different tissues and under different abiotic stress treatments. The expression of these genes was determined using five programs—geNorm, NormFinder, BestKeeper, ΔCt, and RefFinder. The results showed that α-TUB2 (alpha-tubulin 2) and DnaJ (chaperone protein DnaJ 49) were the most stable reference genes across all the tested samples. We measured the expression profiles of the defense response gene SmCAT (catalase) using the two most stable and one least stable reference genes in all samples of S. matsudana. The relative quantification of SmCAT varied greatly according to the different reference genes. We propose that α-TUB2 and DnaJ should be the preferred reference genes for normalization and quantification of transcript levels in future gene expression studies in willow species under various abiotic stress conditions.

Radish (Raphanus sativus) is an important cruciferous root crop with a close relationship to Chinese cabbage (Brassica rapa). RT-qPCR is used extensively to evaluate the expression levels of target genes, and accurate measurement of target gene expression with this method is determined by the valid reference genes used for data nomalization in different experimental conditions. Screening for appropriate reference genes with stable expression based on RT-qPCR data is important for gene expression and functional analysis research in radish and its relatives. However, many researches have thought that almost no single reference gene is widely suitable for all experimental conditions, and few researchers have paid attention to the validation of reference genes in radish gene expression analysis. In the present study, 12 candidate reference genes were selected for analysis. Their expression in 28 samples, including 20 radish samples from different organs and conditions, four Chinese cabbage organs and four organs of their distant hybrid, was assessed by RT-qPCR and then five software tools—ΔCt, geNorm, NormFinder, BestKeeper and RefFinder—were used to compare their expression stability. The results showed that the most suitable reference genes were different in different organs and conditions. GAPDH, DSS1, and UP2 were optimal reference genes for gene expression analysis in all organs and conditions in radish. UPR, GSNOR1, and ACTIN2/7 were the most stable reference genes in different radish organs. UP2 and GAPDH were suitable reference genes for radish pistil development studies. RPII, UBC9, and GAPDH had the most stable expression in radish under various stresses. DSS1, UP2, and TEF2 were the optimal reference genes for Chinese cabbage organs, whereas TUA was optimal for the distant hybrid. UP2, and TEF2 were appropriate reference genes for all of the samples together. The optimal reference genes we identified, UP2, GAPDH, UPR, and GSNOR1 were verified by normalizing the expression patterns of YAB3, RPL, and FUL. These results will provide important information for selecting target reference genes in different research contexts and improve the accuracy and precision of gene expression analysis for radish, Chinese cabbage and their distant hybrid.

BackgroundThe quantification of gene expression in tissue samples requires the use of reference genes to normalise transcript numbers between different samples. Reference gene stability may vary between different tissues, and between the same tissue in different disease states. We evaluated the stability of 9 reference genes commonly used in human gene expression studies. Real-time reverse transcription PCR and a mathematical algorithm were used to establish which reference genes were most stably expressed in normal and diseased canine articular tissues and two canine cell lines stimulated with lipolysaccaride (LPS).ResultsThe optimal reference genes for comparing gene expression data between normal and diseased infrapatella fat pad were RPL13A and YWHAZ (M = 0.56). The ideal reference genes for comparing normal and osteoarthritic (OA) cartilage were RPL13A and SDHA (M = 0.57). The best reference genes for comparing normal and ruptured canine cranial cruciate ligament were B2M and TBP (M = 0.59). The best reference genes for normalising gene expression data from normal and LPS stimulated cell lines were SDHA and YWHAZ (K6) or SDHA and HMBS (DH82), which had expression stability (M) values of 0.05 (K6) and 0.07 (DH82) respectively. The number of reference genes required to reduce pairwise variation (V) to <0.20 was 4 for cell lines, 5 for cartilage, 7 for cranial cruciate ligament and 8 for fat tissue. Reference gene stability was not related to the level of gene expression.ConclusionThe reference genes demonstrating the most stable expression within each different canine articular tissue were identified, but no single reference gene was identified as having stable expression in all different tissue types. This study underlines the necessity to select reference genes on the basis of tissue and disease specific expression profile evaluation and highlights the requirement for the identification of new reference genes with greater expression stability for use in canine articular tissue gene expression studies.

Quantitative real-time reverse transcription polymerase chain reaction (qPCR) has become the preferred method for studying low-abundant mRNA expression. Appropriate application of qPCR in such studies requires the use of reference gene(s) as an internal control in order to normalize the mRNA levels between different samples for an exact comparison of gene expression levels. Expression of the reference gene should be independent from development stage, cell/tissue types, treatments and environmental conditions. Recognizing the importance of reference gene(s) in normalization of qPCR data, various reference genes have been evaluated for stable expression under specific conditions in various organisms. In plants, only a few of them have been investigated, and very few reports about such reference genes in citrus. In the present study, seven candidate reference genes (18SrRNA, ACTB, rpII, UBQI, UBQ10, GAPDH and TUB) were tested, and three of them (18SrRNA, ACTB and rpII) proved to be the most stable ones among six leaf samples of different citrus genotypes. The three candidate reference genes were further analyzed for their stability of expression in five different tissues, and the results indicated that they were not completely stable. It is commonly accepted that gene expression studies should be normalized using more than one reference gene. Based on our results, we propose the use of the mean result rendered by18SrRNA, ACTB and rpII as reference genes to normalize mRNA levels in qPCR analysis of diverse cultivars and tissues of citrus. These results may provide a guideline for future works on gene expression in citrus by using qPCR.

BackgroundUsually the reference genes used in gene expression analysis have been chosen for their known or suspected housekeeping roles, however the variation observed in most of them hinders their effective use. The assessed lack of validated reference genes emphasizes the importance of a systematic study for their identification. For selecting candidate reference genes we have developed a simple in silico method based on the data publicly available in the wheat databases Unigene and TIGR.ResultsThe expression stability of 32 genes was assessed by qRT-PCR using a set of cDNAs from 24 different plant samples, which included different tissues, developmental stages and temperature stresses. The selected sequences included 12 well-known HKGs representing different functional classes and 20 genes novel with reference to the normalization issue. The expression stability of the 32 candidate genes was tested by the computer programs geNorm and NormFinder using five different data-sets. Some discrepancies were detected in the ranking of the candidate reference genes, but there was substantial agreement between the groups of genes with the most and least stable expression. Three new identified reference genes appear more effective than the well-known and frequently used HKGs to normalize gene expression in wheat. Finally, the expression study of a gene encoding a PDI-like protein showed that its correct evaluation relies on the adoption of suitable normalization genes and can be negatively affected by the use of traditional HKGs with unstable expression, such as actin and α-tubulin.ConclusionThe present research represents the first wide screening aimed to the identification of reference genes and of the corresponding primer pairs specifically designed for gene expression studies in wheat, in particular for qRT-PCR analyses. Several of the new identified reference genes outperformed the traditional HKGs in terms of expression stability under all the tested conditions. The new reference genes will enable more accurate normalization and quantification of gene expression in wheat and will be helpful for designing primer pairs targeting orthologous genes in other plant species.

Tea is one of three major non-alcoholic beverages that are popular all around the world. The economic value of the final tea product largely depends on the post-harvest physiology of tea leaves. The utilization of quantitative reverse transcription polymerase chain reaction (RT-qPCR) is a widely accepted and precise approach to determine the target gene expression of tea plants, and the reliability of results hinges on the selection of suitable reference genes. A few reliable reference genes have been documented using various treatments and different tissues of tea plants, but none have been done on post-harvest leaves during the tea manufacturing process. The present study selected and analyzed 15 candidate reference genes: Cs18SrRNA, CsGADPH, CsACT, CsEF-1α, CsUbi, CsTUA, Cs26SrRNA, CsRuBP, CsCYP, CselF-4α, CsMON1, CsPCS1, CsSAND, CsPPA2, CsTBP. This study made an assessment on the expression stability under two kinds of post-harvest treatment, turn over and withering, using three algorithms—geNorm, Normfinder and Bestkeeper. The results indicated that the three commonly used reference genes, CsTUA, Cs18SrRNA, CsRuBP, together with Cs26SrRNA, were the most unstable genes in both the turn over and witheringtreatments. CsACT, CsEF-1α, CsPPA2, and CsTBP were the top four reference genes in the turn over treatment, while CsTBP, CsPCS1, CsPPA2, CselF-4α, and CsACT were the four best reference genes in the witheringgroup. The expression level of lipoxygenase (LOX) genes, which were involved in a number of diverse aspects of plant physiology, including wounding, was evaluated to validate the findings. To conclude, we found a basis for the selection of reference genes for accurate transcription normalization in post-harvest leaves of tea plants.

The proper selection of reference genes to normalize the quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) results under special experimental conditions is crucial for quantifying gene expression. A systematic reference gene screening was performed using SYBR green qRT-PCR on 10 candidate genes in 27 biological samples of various photoperiodic treatments and different tissues in Buchloe dactyloides. Analysis by 3 different qRT-PCR methods (GeNorm, NormFinder, and BestKeeper) indicated that a combination of beta actin (β-ACT), dnaj protein gene (DNAJ) and protein phosphatase 2a (PP2A) were the most suitable reference genes across all samples examined. While the expression of the β-ACT and PP2A were the most stable genes in the long day (LD)-treated plant samples, glyceraldehyde-3-phosphate dehydrogenase gene (GAPDH) and β-ACT performed more stably in short day (SD) and constant dark (24D)-treated plant samples. β-ACT and PP2A displayed the most stable expression under constant light (24L) condition. β-ACT and DNAJ were the optimal reference genes in different tissues. Furthermore, examination of relative expression of a functional gene long hypocotyl 5 (HY5) in LD-treated RNA samples demonstrated additional reference genes contribute to accurate quantitative expression analysis. This study will help the selection of the most stable reference genes for accurate gene expression studies in B. dactyloides.

Cloning and validation of reference genes for normalization of gene expression studies in pearl millet [Pennisetum glaucum (L.) R. Br.] by quantitative real-time PCR

Reference gene selection for quantitative real-time polymerase chain reaction in Populus

The selection and validation of reference genes are essential for gene expression studies by real-time quantitative PCR. The genetic map of Artemisia annua L., a Chinese medicinal plant species producing anti-malarial artemisinin, has been reported. However, few reference genes of A. annua have been estimated for real-time quantitative PCR until now. In this study, ten putative housekeeping genes, including ACT, UBQ, TUB, 18S rRNA, EF1α, CYP, RPL13D, TUA, RPII and GAPDH, were chosen for identifying expression stability using geNorm and NormFinder software tools in 11 different sample pools, containing those from different plant organs and from plants treated with phytohormones and abiotic stresses. As expected, the variation in expression stability of the ten candidate reference genes tested in this study suggested there was no single reference gene that can be used for all experimental conditions in A. annua. The combination of RPII & EF1α was the most stably expressed reference genes for different organs. Under phytohormone treatment, the combination of EF1α & TUB was recommended as internal reference genes used for investigating target gene expression levels. In addition, the combination of ACT & EF1α was suitably chosen for normalization in temperature-shocked samples. In order to further verify the reliability of the experimental results, RPII & EF1α were used in combination as reference genes to examine the expression levels of ADS gene in different organs. Meanwhile, the expression levels of ADS, CYP71AV1 and DBR2 were tested by qPCR normalized with the combination of EF1α & TUB in MeJA treatment samples. Our study will benefit future research on the expression of genes related to artemisinin biosynthesis under different experimental conditions.

Parsley, one of the most important vegetables in the Apiaceae family, is widely used in the food, medicinal, and cosmetic industries. Recent studies on parsley mainly focus on its chemical composition, and further research involving the analysis of the plant's gene functions and expressions is required. qPCR is a powerful method for detecting very low quantities of target transcript levels and is widely used to study gene expression. To ensure the accuracy of results, a suitable reference gene is necessary for expression normalization. In this study, four software, namely geNorm, NormFinder, BestKeeper, and RefFinder were used to evaluate the expression stabilities of eight candidate reference genes of parsley (GAPDH, ACTIN, eIF-4α, SAND, UBC, TIP41, EF-1α, and TUB) under various conditions, including abiotic stresses (heat, cold, salt, and drought) and hormone stimuli treatments (GA, SA, MeJA, and ABA). Results showed that EF-1α and TUB were the most stable genes for abiotic stresses, whereas EF-1α, GAPDH, and TUB were the top three choices for hormone stimuli treatments. Moreover, EF-1α and TUB were the most stable reference genes among all tested samples, and UBC was the least stable one. Expression analysis of PcDREB1 and PcDREB2 further verified that the selected stable reference genes were suitable for gene expression normalization. This study can guide the selection of suitable reference genes in gene expression in parsley.