Selection of reference genes in Hedysarum coronarium under various stresses and stages of development

Evaluation of housekeeping genes as references for quantitative real-time PCR analysis of European eel, Anguilla anguilla

Eels are important aquaculture species for which an increasing number of reference genes are being identified and applied. In this study, five housekeeping genes [RPL7 (ribosomal protein L7), 18 S (18 S ribosomal RNA), EF1A (elongation factor 1α), ACTB (β-actin) and GAPDH (glyceraldehyde-3-phosphate dehydrogenase)] were chosen to evaluate their reliability as reference genes for quantitative real-time PCR (qPCR) for the study of Anguilla anguilla. The expression of the selected genes in different eel tissues was determined using qPCR at different growth stages or upon challenge by Anguillid herpesvirus (AngHV), and the expression levels of these genes were then compared and evaluated using the geNorm and NormFinder algorithms. Then, RefFinder was used to comprehensively rank the examined housekeeping genes. Interestingly, the expression of the evaluated housekeeping genes exhibited tissue-dependent and treatment-dependent variations. In different growth periods A. anguilla tissues, the most stable genes were the following: ACTB in mucus; 18 S in skin and kidney; RPL7 in muscle, gill, intestine and brain; EF1A in heart and liver; and GAPDH in spleen. In contrast, in AngHV-challenged A. anguilla tissues, the most stable genes were the following: 18 S in mucus; RPL7 in skin, gill, heart, spleen, kidney and intestine; EF1A in muscle and liver; and ACTB in brain. Further comparison analysis indicated that the expression of RPL7 and EF1A was stable in multiple A. anguilla tissues in different growth periods and in eels challenged by AngHV. Nonetheless, the expression level of GAPDH in eel tissues was lower, and it was unstable in several tissues. These results indicated that the selection of reference genes for qPCR analysis in A. anguilla should be made in accordance with experimental parameters, and both RPL7 and EF1A could be used as reference genes for qPCR study of A. anguilla at different growth stages or upon challenge by AngHV. The reference genes identified in this study could improve the accuracy of qPCR data and facilitate further studies aimed at understanding the biology of eels.

Selection and Validation of Reference Genes for RT-qPCR Analysis in Tibetan Medicinal Plant Saussurea Laniceps Callus under Abiotic Stresses and Hormone Treatments

Real-time quantitative PCR (RT-qPCR) is an important technique for studying gene expression analysis, but accurate and reliable results depend on the use of a stable reference gene. This study proposes to test the expression stability of candidate reference genes in the callus of Saussurea laniceps, a unique Tibetan medicinal plant. Based on the S. laniceps callus transcriptome, eleven candidate reference genes, including TUA2, TUB3, TUB8, TIF3B1, TIF3H1, ELF5A, PP2AA2, UEV1D, UBL5, UBC36, and SKIP1), were validated for RT-qPCR normalization in the callus under abiotic stress (salt, cold, and UV) and hormone treatments (abscisic acid, MeJA, and salicylic acid). The stability of the candidate genes was evaluated in all the samples of S. laniceps. Comprehensive analysis of all samples showed that the best reference genes were UBC36 and UBL5. ELF5A and TIF3B1 were ranked as the most stable genes in the sample sets under abiotic stress. For hormone stimulation, UBC36 and TIF3H1 genes had the best stability. This study provides useful guidelines and a starting point for reference gene selection for expression analysis using RT-qPCR techniques in S. laniceps.

Expression of potential reference genes in response to macronutrient stress in rice and soybean

Given the complexity of nutrient stress responses and the availability of a few validated reference genes, we aimed to identify robust and stable reference genes for macronutrient stress in rice and soybean. Ten potential reference genes were evaluated using geNorm, NormFinder, BestKeeper, Comparative ΔCt method, and RefFinder algorithms under low and completely starved conditions of nitrogen (N), phosphorus (P), potassium (K), and sulphur (S). Results revealed distinct sets of reference gene pairs, showing stable expression under different experimental conditions. The gene pairs TIP41/UBC(9/10/18) and F-box/UBC10 were most stable in rice and soybean, respectively under N stress. Under P stress, UBC9/UBC10 in rice and F-Box/UBC10 in soybean were most stable. Similarly, TIP41/UBC10 in rice and RING FINGER/UBC9 in soybean were the best gene pairs under K stress while F-Box/TIP41 in rice and UBC9/UBC10 in soybean were the most stable gene pairs under S stress. These reference gene pairs were validated by quantifying the expression levels of high-affinity transporters like NRT2.1/NRT2.5, PT1, AKT1, and SULTR1 for N, P, K, and S stress, respectively. This study reiterates the importance of choosing reference genes based on crop species and the experimental conditions, in order to obtain concrete answers to missing links of gene regulation in response to macronutrient deficiencies.

Spatio-temporal selection of reference genes in the two congeneric species of Glycyrrhiza

Glycyrrhiza, a genus of perennial medicinal herbs, has been traditionally used to treat human diseases, including respiratory disorders. Functional analysis of genes involved in the synthesis, accumulation, and degradation of bioactive compounds in these medicinal plants requires accurate measurement of their expression profiles. Reverse transcription quantitative real-time PCR (RT-qPCR) is a primary tool, which requires stably expressed reference genes to serve as the internal references to normalize the target gene expression. In this study, the stability of 14 candidate reference genes from the two congeneric species G. uralensis and G. inflata, including ACT, CAC, CYP, DNAJ, DREB, EF1, RAN, TIF1, TUB, UBC2, ABCC2, COPS3, CS, R3HDM2, were evaluated across different tissues and throughout various developmental stages. More importantly, we investigated the impact of interactions between tissue and developmental stage on the performance of candidate reference genes. Four algorithms, including geNorm, NormFinder, BestKeeper, and Delta Ct, were used to analyze the expression stability and RefFinder, a comprehensive software, provided the final recommendation. Based on previous research and our preliminary data, we hypothesized that internal references for spatio-temporal gene expression are different from the reference genes suited for individual factors. In G. uralensis, the top three most stable reference genes across different tissues were R3HDM2, CAC and TUB, while CAC, CYP and ABCC2 were most suited for different developmental stages. CAC is the only candidate recommended for both biotic factors, which is reflected in the stability ranking for the spatio (tissue)-temporal (developmental stage) interactions (CAC, R3HDM2 and DNAJ). Similarly, in G. inflata, COPS3, R3HDM2 and DREB were selected for tissues, while RAN, COPS3 and CS were recommended for developmental stages. For the tissue-developmental stage interactions, COPS3, DREB and ABCC2 were the most suited reference genes. In both species, only one of the top three candidates was shared between the individual factors and their interactions, specifically, CAC in G. uralensis and COPS3 in G. inflata, which supports our overarching hypothesis. In summary, spatio-temporal selection of reference genes not only lays the foundation for functional genomics research in Glycyrrhiza, but also facilitates these traditional medicinal herbs to reach/maximize their pharmaceutical potential.

Selection of Reference Genes for qRT-PCR Analysis in Medicinal Plant Glycyrrhiza under Abiotic Stresses and Hormonal Treatments

Best known as licorice, Glycyrrhiza Linn., a genus of herbaceous perennial legume, has been used as a traditional herbal medicine in Asia and a flavoring agent for tobacco and food industry in Europe and America. Abiotic stresses and hormonal treatments can significantly impact the development and metabolism of secondary metabolites in Glycyrrhiza. To better understand the biosynthesis of the trace-amount bioactive compounds, we first screened for the suitable reference genes for quantitative real-time reverse transcription PCR (qRT-PCR) analysis in Glycyrrhiza. The expression profiles of 14 candidate reference genes, including Actin1 (ACT), Clathrin complex AP1 (CAC), Cyclophilin (CYP), Heat-shock protein 40 (DNAJ), Dehydration responsive element binding gene (DREB), Translation elongation factor1 (EF1), Ras related protein (RAN), Translation initiation factor (TIF1), β-Tubulin (TUB), Ubiquitin-conjugating enzyme E2 (UBC2), ATP binding-box transpoter 2 (ABCC2), COP9 signal compex subunit 3 (COPS3), Citrate synthase (CS), and R3H domain protein 2 (R3HDM2) from two congeneric species, Glycyrrhiza uralensis F. and Glycyrrhiza inflata B., were examined under abiotic stresses (osmotic and salinity) and hormonal treatments (Abscisic acid (ABA) and methyl jasmonic acid (MeJA)) using a panel of software, including geNorm, NormFinder, BestKeeper, and Delta CT. The overall stability, however, was provided by RefFinder, a comprehensive ranking system integrating inputs from all four algorithms. In G. uralensis, the most stable reference genes under osmotic stress, salt stress, ABA treatment, and MeJA treatment were TIF1, DNAJ, CS, and ABCC2 for leaves and DNAJ, DREB, CAC, and CAC for roots, respectively. In comparison, the top ranked genes were TUB, CAC, UBC2, and RAN for leaves and TIF1, ABCC2, CAC, and UBC2 for roots, respectively, under stress and hormonal treatments in G. inflata. ACT and TIF1, on the other hand, were the least stable genes under the most experimental conditions in the two congeneric species. Finally, our survey of the reference genes in legume shows that EF, ACT, UBC2, and TUB were the top choices for the abiotic stresses while EF, UBC2, CAC, and ABCC2 were recommended for the hormonal treatments in Leguminosae. Our combined results provide reliable normalizers for accurate gene quantifications in Glycyrrhiza species, which will allow us to exploit its medicinal potential in general and antiviral activities in particular.

PPIA, HPRT1, and YWHAZ Genes Are Suitable for Normalization of mRNA Expression in Long-Term Expanded Human Mesenchymal Stem Cells

Long-term expansion of mesenchymal stem cells (MSCs) under defined culture conditions is necessary in human stem cell therapy. However, it alters the characteristics of MSCs. Since quantitative real time polymerase chain reaction (qRT-PCR) is widely used as one of the key analytical methods for comparative characterization, the validation of reference genes (RGs) for normalization under each experimental condition is important to achieve reliable qRT-PCR results. Therefore, the most stable RGs for long-term expanded bone marrow- and umbilical cord blood-derived MSCs (BM-MSCs and UCB-MSCs) under defined culture conditions for up to 20 passages were evaluated. The more apparent alterations in characteristics such as differentiation capacity, proliferation, senescence, and the expression of RGs were noted in BM-MSCs than UCB-MSCs during long-term expansion. The RG validation programs (GeNorm and NormFinder) suggested that PPIA, HPRT1, and YWHAZ were suitable for normalization in qRT-PCR regardless of MSC types and long-term culture expansion, and the traditional RGs (ACTB and GAPDH) were less stable in long-term expanded MSCs. In addition, the use of these RGs for normalization of OCT4 expression in long-term expanded BM-MSCs showed that a less stable RG (GAPDH) showed contrasting data compared to other RGs. Therefore, the use of RGs such as PPIA, HPRT1, and YWHAZ for normalization in qRT-PCR experiments is highly recommended for long-term expanded MSCs to generate accurate and reliable data.

Reference gene selection for qRT-PCR assays in Stellera chamaejasme subjected to abiotic stresses and hormone treatments based on transcriptome datasets

Background

Stellera chamaejasme Linn, an important poisonous plant of the China grassland, is toxic to humans and livestock. The rapid expansion of S. chamaejasme has greatly damaged the grassland ecology and, consequently, seriously endangered the development of animal husbandry. To draft efficient prevention and control measures, it has become more urgent to carry out research on its adaptive and expansion mechanisms in different unfavorable habitats at the genetic level. Quantitative real-time polymerase chain reaction (qRT-PCR) is a widely used technique for studying gene expression at the transcript level; however, qRT-PCR requires reference genes (RGs) as endogenous controls for data normalization and only through appropriate RG selection and qRT-PCR can we guarantee the reliability and robustness of expression studies and RNA-seq data analysis. Unfortunately, little research on the selection of RGs for gene expression data normalization in S. chamaejasme has been reported.

Method

In this study, 10 candidate RGs namely, 18S, 60S, CYP, GAPCP1, GAPDH2, EF1B, MDH, SAND, TUA1, and TUA6, were singled out from the transcriptome database of S. chamaejasme, and their expression stability under three abiotic stresses (drought, cold, and salt) and three hormone treatments (abscisic acid, ABA; gibberellin, GA; ethephon, ETH) were estimated with the programs geNorm, NormFinder, and BestKeeper.

Result

Our results showed that GAPCP1 and EF1B were the best combination for the three abiotic stresses, whereas TUA6 and SAND, TUA1 and CYP, GAPDH2 and 60S were the best choices for ABA, GA, and ETH treatment, respectively. Moreover, GAPCP1 and 60S were assessed to be the best combination for all samples, and 18S was the least stable RG for use as an internal control in all of the experimental subsets. The expression patterns of two target genes (P5CS2 and GI) further verified that the RGs that we selected were suitable for gene expression normalization.

Discussion

This work is the first attempt to comprehensively estimate the stability of RGs in S. chamaejasme. Our results provide suitable RGs for high-precision normalization in qRT-PCR analysis, thereby making it more convenient to analyze gene expression under these experimental conditions.

Evaluation of eight reference genes for quantitative polymerase chain reaction analysis in human T lymphocytes co‑cultured with mesenchymal stem cells

Accurate gene expression analysis relies on the selection of a stable reference gene, as unstable reference genes can alter experimental results and conclusions. It is widely‑accepted that reference genes exhibit different expression levels in different types of tissues and cells. Therefore, it is essential to screen for stably‑expressed reference genes in the cells and tissues used for experimental analysis prior to performing reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR). In the present study, eight reference genes were screened for their suitability for RT‑qPCR in five T lymphocytes co‑cultured with mesenchymal stem cells from different sources. Using NormFinder, geNorm, and BestKeeper algorithms consistently demonstrated that RPL13A and B2M were the optimal reference genes for the normalization of RT‑qPCR data obtained from T lymphocytes, whereas glyceraldehyde 3‑phosphate dehydrogenase was not a suitable reference gene due to its extensive variability in expression. These findings highlight the importance of evaluating reference genes for RT‑qPCR.

Selection of suitable soybean EF1α genes as internal controls for real-time PCR analyses of tissues during plant development and under stress conditions

KEY MESSAGE

The EF1α genes were stable in the large majority of soybean tissues during development and in specific tissues/conditions under stress. Quantitative real-time PCR (qPCR) analysis strongly depends on transcript normalization using stable reference genes. Reference genes are generally encoded by multigene families and are used in qPCR normalization; however, little effort has been made to verify the stability of different gene members within a family. Here, the expression stability of members of the soybean EF1α gene family (named EF1α 1a1, 1a2, 1b, 2a, 2b and 3) was evaluated in different tissues during plant development and stress exposure (SA and PEG). Four genes (UKN1, SKIP 16, EF1β and MTP) already established as stably expressed were also used in the comparative analysis. GeNorm analyses revealed different combinations of reference genes as stable in soybean tissues during development. The EF1α genes were the most stable in cotyledons (EF1α 3 and EF1α 1b), epicotyls (EF1α 1a2, EF1α 2b and EF1α 1a1), hypocotyls (EF1α 1a1 and EF1β), pods (EF1α 2a and EF1α 2b) and roots (EF1α 2a and UKN1) and less stable in tissues such as trifoliate and unifoliate leaves and germinating seeds. Under stress conditions, no suitable combination including only EF1α genes was found; however, some genes were relatively stable in leaves (EF1α 1a2) and roots (EF1α 1a1) treated with SA as well as in roots treated with PEG (EF1α 2b). EF1α 2a was the most stably expressed EF1α gene in all soybean tissues under stress. Taken together, our data provide guidelines for the selection of EF1α genes for use as reference genes in qPCR expression analyses during plant development and under stress conditions.

Defining reference genes for qPCR normalization to study biotic and abiotic stress responses in Vigna mungo

Expression of ACT, EF1A; H2A, EF1A, ACT and 18S, TUB showed stability under MYMIV, salinity and drought stress, respectively; these are recommended as reference genes for qPCR normalization in Vigna mungo. Accurate gene expression profiling through qPCR depends on selection of appropriate reference gene(s) for normalization. Due to lack of unanimous internal standard, suitable constitutively expressed reference genes are selected that exhibit stable expression under diverse experimental conditions. In this communication, a comparative evaluation of stability among seven V. mungo genes encoding actin (ACT), histone H2A (H2A), elongation factor 1-alpha (EF1A), 18S rRNA (18S), glyceraldehyde 3-phosphate dehydrogenase (GAPDH), cyclophilin (CYP) and tubulin (TUB) under biotic (MYMIV) and abiotic (drought and salinity) stress conditions has been attempted. Specificity and amplification efficiency for each primer pair were verified; however, cumulative assessment of their accumulated transcripts revealed no uniformity. Therefore, individual stability and suitability of these seven candidates have been assessed in silico, by two widely used algorithms, geNorm and Normfinder. Based on the computed results, high stability was obtained for ACT and EF1A during MYMIV stress, while H2A, EFIA and ACT were found to be most suitable in salinity stress experiments and TUB and 18S during drought treatments. Combinations of ACT/TUB or ACT/EFIA were recommended for their use in the pooled analysis, while expression of 18S and CYP showed greater variations and therefore considered unsuitable as reference genes. Additionally, precise quantification of the target gene VmPRX under these stresses was shown to be a function of reference genes' stability, which tends to get affected when normalized with the least stable genes. Hence, use of these normalizers will facilitate accurate and reliable analyses of gene expression in V. mungo.

Validation of suitable reference genes for expression studies in different pilocarpine-induced models of mesial temporal lobe epilepsy

It is well recognized that the reference gene in a RT-qPCR should be properly validated to ensure that gene expression is unaffected by the experimental condition. We investigated eight potential reference genes in two different pilocarpine PILO-models of mesial temporal lobe epilepsy (MTLE) performing a stability expression analysis using geNorm, NormFinder and BestKepeer softwares. Then, as a validation strategy, we conducted a relative expression analysis of the Gfap gene. Our results indicate that in the systemic PILO-model Actb, Gapdh, Rplp1, Tubb2a and Polr1a mRNAs were highly stable in hippocampus of rats from all experimental and control groups, whereas Gusb revealed to be the most variable one. In fact, we observed that using Gusb for normalization, the relative mRNA levels of the Gfap gene differed from those obtained with stable genes. On the contrary, in the intrahippocampal PILO-model, all softwares included Gusb as a stable gene, whereas B2m was indicated as the worst candidate gene. The results obtained for the other reference genes were comparable to those observed for the systemic Pilo-model. The validation of these data by the analysis of the relative expression of Gfap showed that the upregulation of the Gfap gene in the hippocampus of rats sacrificed 24 hours after status epilepticus (SE) was undetected only when B2m was used as the normalizer. These findings emphasize that a gene that is stable in one pathology model may not be stable in a different experimental condition related to the same pathology and therefore, the choice of reference genes depends on study design.

Identification and validation of reference genes for transcript normalization in strawberry (Fragaria × ananassa) defense responses

Strawberry (Fragaria spp) is an emerging model for the development of basic genomics and recombinant DNA studies among rosaceous crops. Functional genomic and molecular studies involve relative quantification of gene expression under experimental conditions of interest. Accuracy and reliability are dependent upon the choice of an optimal reference control transcript. There is no information available on validated endogenous reference genes for use in studies testing strawberry-pathogen interactions. Thirteen potential pre-selected strawberry reference genes were tested against different tissues, strawberry cultivars, biotic stresses, ripening and senescent conditions, and SA/JA treatments. Evaluation of reference candidate's suitability was analyzed by five different methodologies, and information was merged to identify best reference transcripts. A combination of all five methods was used for selective classification of reference genes. The resulting superior reference genes, FaRIB413, FaACTIN, FaEF1α and FaGAPDH2 are strongly recommended as control genes for relative quantification of gene expression in strawberry. This report constitutes the first systematic study to identify and validate optimal reference genes for accurate normalization of gene expression in strawberry plant defense response studies.

Selection and validation of reference genes for quantitative RT-PCR expression studies of the non-model crop Musa

Gene expression analysis by reverse transcriptase real-time or quantitative polymerase chain reaction (RT-qPCR) is becoming widely used for non-model plant species. Given the high sensitivity of this method, normalization using multiple housekeeping or reference genes is critical, and careful selection of these reference genes is one of the most important steps to obtain reliable results. In this study, reference genes commonly used for other plant species were investigated to identify genes displaying highly uniform expression patterns in different varieties, tissues, developmental stages, fungal infection, and osmotic stress conditions for the non-model crop Musa (banana and plantains). The expression stability of six candidate reference genes was tested on six different sample sets, and the results were analyzed using the publicly available algorithms geNorm and NormFinder. Our results show that variety, plant material, primer set, and gene identity can all influence the robustness and outcome of RT-qPCR analysis. In the case of Musa, a combination of three reference genes (EF1, TUB and ACT) can be used for normalization of gene expression data from greenhouse leaf samples. In the case of shoot meristem cultures, numerous combinations can be used because the investigated reference genes exhibited limited variability. In contrast, variability in expression of the reference genes was much larger among leaf samples from plants grown in vitro, for which the best combination of reference genes (L2 and ACT genes) is still suboptimal. Overall, our data confirm that the stability of candidate reference genes should be thoroughly investigated for each experimental condition under investigation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11032-012-9711-1) contains supplementary material, which is available to authorized users.

Selection and validation of reference genes for studying stress-related agarwood formation of Aquilaria sinensis

Agarwood is a high-valued woody material for medicine, perfume, and incense production in Asia, Middle East, and Europe. The wild resources of agarwood-producing tree species, e.g., Aquilaria sinensis have been greatly threatened. The formation of agarwood is considered to be associated with the plant stress and defensive responses, thus it would be urgent and significant to investigate the molecular mechanism of these species responding to a variety of stresses. This is the first report regarding the reference gene selection of Aquilaria species for studying the molecular mechanism of stress-related agarwood production. Candidate reference genes were selected according to previous reports and the sequences were obtained from the 454 EST library of A. sinensis. To obtain the robust genes, we applied three independent programs depending on distinct assumptions and combined these results by a rank aggregation algorithm. The result supports tubulin, ribosomal protein, and glyceraldehyde-3-phosphate dehydrogenase to be the most stable reference genes for quantification of target gene expression in the overall samples examined. Validation of these genes through normalizing the expression of a terpene synthase demonstrated that these three genes are reliable. The selective usage of three algorithms based on their characteristics was underlined. However, more robust genes could be identified if the results of all algorithms were combined by a proper method such as the rank aggregation algorithm.

KEY MESSAGE

Reference genes which are critical in gene expression studies are recommended for future molecular studies of stress response and agarwood production in the endangered Aquilaria and other tree species.

Reference gene selection in the desert plant Eremosparton songoricum

Eremosparton songoricum (Litv.) Vass. (E. songoricum) is a rare and extremely drought-tolerant desert plant that holds promise as a model organism for the identification of genes associated with water deficit stress. Here, we cloned and evaluated the expression of eight candidate reference genes using quantitative real-time reverse transcriptase polymerase chain reactions. The expression of these candidate reference genes was analyzed in a diverse set of 20 samples including various E. songoricum plant tissues exposed to multiple environmental stresses. GeNorm analysis indicated that expression stability varied between the reference genes in the different experimental conditions, but the two most stable reference genes were sufficient for normalization in most conditions. EsEF and Esα-TUB were sufficient for various stress conditions, EsEF and EsACT were suitable for samples of differing germination stages, and EsGAPDHand EsUBQ were most stable across multiple adult tissue samples. The Es18S gene was unsuitable as a reference gene in our analysis. In addition, the expression level of the drought-stress related transcription factor EsDREB2 verified the utility of E. songoricum reference genes and indicated that no single gene was adequate for normalization on its own. This is the first systematic report on the selection of reference genes in E. songoricum, and these data will facilitate future work on gene expression in this species.

Validation of reference genes for RT-qPCR normalization in common bean during biotic and abiotic stresses

Selection of reference genes is an essential consideration to increase the precision and quality of relative expression analysis by the quantitative RT-PCR method. The stability of eight expressed sequence tags was evaluated to define potential reference genes to study the differential expression of common bean target genes under biotic (incompatible interaction between common bean and fungus Colletotrichum lindemuthianum) and abiotic (drought; salinity; cold temperature) stresses. The efficiency of amplification curves and quantification cycle (C (q)) were determined using LinRegPCR software. The stability of the candidate reference genes was obtained using geNorm and NormFinder software, whereas the normalization of differential expression of target genes [beta-1,3-glucanase 1 (BG1) gene for biotic stress and dehydration responsive element binding (DREB) gene for abiotic stress] was defined by REST software. High stability was obtained for insulin degrading enzyme (IDE), actin-11 (Act11), unknown 1 (Ukn1) and unknown 2 (Ukn2) genes during biotic stress, and for SKP1/ASK-interacting protein 16 (Skip16), Act11, Tubulin beta-8 (β-Tub8) and Unk1 genes under abiotic stresses. However, IDE and Act11 were indicated as the best combination of reference genes for biotic stress analysis, whereas the Skip16 and Act11 genes were the best combination to study abiotic stress. These genes should be useful in the normalization of gene expression by RT-PCR analysis in common bean, the most important edible legume.

Selection of reference genes for normalization of qRT-PCR analysis of differentially expressed genes in soybean exposed to cadmium

Accurate normalization of gene expression with qRT-PCR depends on the use of appropriate reference genes (RGs) for the species under a given set of experimental conditions. Multiple RGs for gene expression analysis of soybean exposed to heavy metal stress treatment have not been reported in the literature. In this study, we evaluated the expression stability of ten candidate RGs in leaves, roots and stems of two soybean cultivars exposed to cadmium (Cd). Based on the geNorm and NormFinder analysis, ACT3, PP2A, ELF1B and F-box were the most stable RGs in these gene expression studies. In contrast, G6PD, UBC2, TUB, and ELF1A were the most variable ones and should not be used as RGs in these experimental conditions.