Systematic Validation Of Reference Genes Research Articles

Identification of stable reference gene for transcript normalization in black pepper-Phytophthora capsici pathosystem

A systematic validation of reference genes is a pre-requisite for the proper normalization of gene transcripts. In the present study, the annotated sequences from black pepper (Piper nigrum L.) leaf transcriptome were used as reference genes namely actin (PnACT), glyceraldehyde phosphate dehydrogenase (PnGAPDH), β-tubulin (PnTUB), ubiquitin conjugating enzyme (PnUBCE), 18srRNA and elongation factor-1-α (PnElF) to identify the stable reference gene. We focused the selection of stable reference gene on important biotic stress (Phytophthora) with different algorithms (geNorm, NormFinder and BestKeeper) along with Reffinder which resulted in identification of PnGAPDH and PnUBCE as stable genes. Norm qPCR (R package) was also used to estimate the stability of the selected genes. We elucidated the expression patterns of a target gene PnBGLU which codes for 1,3 beta glucanase with most stable as well as least stable reference genes by which the importance of selecting the stable gene for gene expression studies in this system was emphasized. The mean expression levels of PnBGLU was significantly overestimated and misinterpreted when least stable reference gene was used as normalizer. The selected reference genes on further analysis of the expression dynamics of PnBGLU among resistant and susceptible genotypes showed PnGAPDH as the suitable reference gene for P. nigrum-P. capsici pathosystem.

Chlamydia psittaci reference genes for normalisation of expression data differ depending on the culture conditions and selected time points during the chlamydial replication cycle

Abstract Introduction: Chlamydia psittaci is a gram-negative obligate intracellular pathogen of birds. Poultry infections lead to economic losses and can be transmitted to humans. No vaccine is available and the bacterium-host cell interaction is not completely understood. Replicating bacteria cause pneumonia, but C. psittaci can also be non-replicating and persistent inside the cytoplasm of avian cells. RT-qPCR provides insight into the molecular pathogenesis of both active replicating and persistent Chlamydia psittaci in birds, but requires identification of stably expressed reference genes to avoid biases. Material and Methods: We investigated the expression stability of 10 C. psittaci candidate reference genes for gene expression analysis during normal growth and penicillin-induced persistence. C. psittaci Cal10 was cultured in HeLa229 and RNA was extracted. The expression level of each candidate was examined by RT-qPCR and Cq values were analysed using geNorm. Results: The genes tyrS, gidA, radA, and 16S rRNA ranked among the most stably expressed. The final selected reference genes differed according to the bacterial growth status (normal growth versus persistent status), and the time points selected during the duration of the normal chlamydial developmental cycle. Conclusion: The study data show the importance of systematic validation of reference genes to confirm their stability within the strains and under the conditions selected.

Reference gene validation for relative quantification analysis of transcripts in urinary exfoliated cells among urothelial bladder carcinoma patients

The specific mRNA signature of urinary exfoliated cells (UECs) can be helpful for biomarker discovery and validation studies related to urological malignancies including cancers of bladder, kidney, prostate and testicles, as well as kidney allograft rejection, systemic autoimmune diseases such as lupus, and acquired proteinuric diseases. To the best of our knowledge, no systematic validation of reference genes has been reported for UECs Reverse Transcription-quantitative Polymerase Chain Reaction (RT-qPCR) analysis up to now.To determine the stability of candidate housekeeping genes (HKGs) across UECs, they were isolated from first morning urine of patients diagnosed as high grade and low grade urothelial bladder cancer as cases and clinical controls including the patients suffering from bladder stone, benign prostatic hyperplasia, obstructive uropathy and healthy individuals. RT-qPCR was performed to determine 9 candidate HKGs stability.geNorm, Normfinder, and BestKeeper statistical algorithm were applied to determine the most stable reference genes. The non-parametric Mann-Whitney U test applied to compare HKGs expression levels between cases and controls samples.GAPDH and HSP90AB1 were selected as two most stable expressed HKGs by all three algorithms, while ACTB demonstrated to have the least stability.Although, GAPDH is a suitable reference gene for quantitative analysis of UECs in urological malignancies, based on normalization factor calculated by geNorm, we recommend using GAPDH, and HSP90AB1 together as normalizer to obtain more realistic expression analysis via relative qPCR.

Optimal Reference Genes for Gene Expression Normalization in Trichomonas vaginalis.

Trichomonas vaginalis is the etiologic agent of trichomonosis, the most common non-viral sexually transmitted disease worldwide. This infection is associated with several health consequences, including cervical and prostate cancers and HIV acquisition. Gene expression analysis has been facilitated because of available genome sequences and large-scale transcriptomes in T. vaginalis, particularly using quantitative real-time polymerase chain reaction (qRT-PCR), one of the most used methods for molecular studies. Reference genes for normalization are crucial to ensure the accuracy of this method. However, to the best of our knowledge, a systematic validation of reference genes has not been performed for T. vaginalis. In this study, the transcripts of nine candidate reference genes were quantified using qRT-PCR under different cultivation conditions, and the stability of these genes was compared using the geNorm and NormFinder algorithms. The most stable reference genes were α-tubulin, actin and DNATopII, and, conversely, the widely used T. vaginalis reference genes GAPDH and β-tubulin were less stable. The PFOR gene was used to validate the reliability of the use of these candidate reference genes. As expected, the PFOR gene was upregulated when the trophozoites were cultivated with ferrous ammonium sulfate when the DNATopII, α-tubulin and actin genes were used as normalizing gene. By contrast, the PFOR gene was downregulated when the GAPDH gene was used as an internal control, leading to misinterpretation of the data. These results provide an important starting point for reference gene selection and gene expression analysis with qRT-PCR studies of T. vaginalis.

Evaluation of Reference Genes for RT‐qPCR Normalization in Cowpea under Drought Stress during Biological Nitrogen Fixation

ABSTRACTReverse transcription–quantitative polymerase chain reaction (RT‐qPCR) has emerged as an important technique for gene‐expression analysis. However, for accurate and reliable results, the data normalization using appropriated reference genes is critical, and a systematic validation of reference genes in cowpea (Vigna unguiculata L. Walp), a high stress‐tolerant leguminous, has not been performed. To provide suitable reference genes in this strategic leguminous species under drought stress, we evaluated the expression stability of eight candidate genes using geNorm and NormFinder algorithms. The analyses were performed in nodules and leaves separately (organ‐specific analysis) or grouping the two organs (global analysis). Our results showed VuPp2A and VuUbq28 as the best reference genes—by both algorithms—for global analysis. For organ‐specific analyses, geNorm identified VuPp2A/VuYls8 as the most stable genes for nodules and NormFinder identified VuPolyP/VuPp2A as the most stable ones for leaves. Moreover, VuUbq28 was always identified among the top three genes. The proposed reference genes were validated by two stress‐responsive genes (VusHsp17.7 and VuNced1). In conclusion, VuPp2A was the best reference gene in all analyses, followed by VuUbq28, VuYls8, and VuPolyP as the most stable genes for RT‐qPCR data normalization in cowpea under drought stress. These genes could be a good starting point for reference‐gene validation in other leguminous species under stress and BNF conditions.

Comprehensive selection of reference genes for gene expression normalization in sugarcane by real time quantitative rt-PCR.

The increasingly used real time quantitative reverse transcription-PCR (qRT-PCR) method for gene expression analysis requires one or several reference gene(s) acting as normalization factor(s). In order to facilitate gene expression studies in sugarcane (Saccharum officinarum), a non-model plant with limited genome information, the stability of 13 candidate reference genes was evaluated. The geNorm, NormFinder and deltaCt methods were used for selecting stably expressed internal controls across different tissues and under various experimental treatments. These results revealed that, among these 13 candidate reference genes, GAPDH, eEF-1a and eIF-4α were the most stable and suitable for use as normalization factors across all various experimental samples. In addition, APRT could be a candidate for examining the relationship between gene copy number and transcript levels in sugarcane tissue samples. According to the results evaluated by geNorm, combining CUL and eEF-1α in hormone treatment experiments; CAC and CUL in abiotic stress tests; GAPDH, eEF-1a and CUL in all treatment samples plus CAC, CUL, APRT and TIPS-41 in cultivar tissues as groups for normalization would lead to more accurate and reliable expression quantification in sugarcane. This is the first systematic validation of reference genes for quantification of transcript expression profiles in sugarcane. This study should provide useful information for selecting reference genes for more accurate quantification of gene expression in sugarcane and other plant species.

Identification of Suitable Reference Genes for Gene Expression Normalization in qRT-PCR Analysis in Watermelon

Watermelon is one of the major Cucurbitaceae crops and the recent availability of genome sequence greatly facilitates the fundamental researches on it. Quantitative real-time reverse transcriptase PCR (qRT–PCR) is the preferred method for gene expression analyses, and using validated reference genes for normalization is crucial to ensure the accuracy of this method. However, a systematic validation of reference genes has not been conducted on watermelon. In this study, transcripts of 15 candidate reference genes were quantified in watermelon using qRT–PCR, and the stability of these genes was compared using geNorm and NormFinder. geNorm identified ClTUA and ClACT, ClEF1α and ClACT, and ClCAC and ClTUA as the best pairs of reference genes in watermelon organs and tissues under normal growth conditions, abiotic stress, and biotic stress, respectively. NormFinder identified ClYLS8, ClUBCP, and ClCAC as the best single reference genes under the above experimental conditions, respectively. ClYLS8 and ClPP2A were identified as the best reference genes across all samples. Two to nine reference genes were required for more reliable normalization depending on the experimental conditions. The widely used watermelon reference gene 18SrRNA was less stable than the other reference genes under the experimental conditions. Catalase family genes were identified in watermelon genome, and used to validate the reliability of the identified reference genes. ClCAT1and ClCAT2 were induced and upregulated in the first 24 h, whereas ClCAT3 was downregulated in the leaves under low temperature stress. However, the expression levels of these genes were significantly overestimated and misinterpreted when 18SrRNA was used as a reference gene. These results provide a good starting point for reference gene selection in qRT–PCR analyses involving watermelon.

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.

Evaluation of putative reference genes for gene expression normalization in soybean by quantitative real-time RT-PCR

BackgroundReal-time quantitative reverse transcription PCR (RT-qPCR) data needs to be normalized for its proper interpretation. Housekeeping genes are routinely employed for this purpose, but their expression level cannot be assumed to remain constant under all possible experimental conditions. Thus, a systematic validation of reference genes is required to ensure proper normalization. For soybean, only a small number of validated reference genes are available to date.ResultsA systematic comparison of 14 potential reference genes for soybean is presented. These included seven commonly used (ACT2, ACT11, TUB4, TUA5, CYP, UBQ10, EF1b) and seven new candidates (SKIP16, MTP, PEPKR1, HDC, TIP41, UKN1, UKN2). Expression stability was examined by RT-qPCR across 116 biological samples, representing tissues at various developmental stages, varied photoperiodic treatments, and a range of soybean cultivars. Expression of all 14 genes was variable to some extent, but that of SKIP16, UKN1 and UKN2 was overall the most stable. A combination of ACT11, UKN1 and UKN2 would be appropriate as a reference panel for normalizing gene expression data among different tissues, whereas the combination SKIP16, UKN1 and MTP was most suitable for developmental stages. ACT11, TUA5 and TIP41 were the most stably expressed when the photoperiod was altered, and TIP41, UKN1 and UKN2 when the light quality was changed. For six different cultivars in long day (LD) and short day (SD), their expression stability did not vary significantly with ACT11, UKN2 and TUB4 being the most stable genes. The relative gene expression level of GmFTL3, an ortholog of Arabidopsis FT (FLOWERING LOCUS T) was detected to validate the reference genes selected in this study.ConclusionNone of the candidate reference genes was uniformly expressed across all experimental conditions, and the most suitable reference genes are conditional-, tissue-specific-, developmental-, and cultivar-dependent. Most of the new reference genes performed better than the conventional housekeeping genes. These results should guide the selection of reference genes for gene expression studies in soybean.

Normalization of qRT-PCR data: the necessity of adopting a systematic, experimental conditions-specific, validation of references

Quantitative RT-PCR (reverse transcription polymerase chain reaction, also known as qRT-PCR or real-time RT-PCR) has been used in large proportions of transcriptome analyses published to date. The accuracy of the results obtained by this method strongly depends on accurate transcript normalization using stably expressed genes, known as references. Statistical algorithms have been developed recently to help validate reference genes but, surprisingly, this robust approach is under-utilized in plants. Instead, putative 'housekeeping' genes tend to be used as references without any proper validation. The concept of normalization in transcript quantification is introduced here and the factors affecting its reliability in qRT-PCR are discussed in an attempt to convince molecular biologists, and non-specialists, that systematic validation of reference genes is essential for producing accurate, reliable data in qRT-PCR analyses, and thus should be an integral component of them.

The lack of a systematic validation of reference genes: a serious pitfall undervalued in reverse transcription‐polymerase chain reaction (RT‐PCR) analysis in plants

Reverse transcription-polymerase chain reaction (RT-PCR) approaches have been used in a large proportion of transcriptome analyses published to date. The accuracy of the results obtained by this method strongly depends on accurate transcript normalization using stably expressed genes, known as references. Statistical algorithms have been developed recently to help validate reference genes, and most studies of gene expression in mammals, yeast and bacteria now include such validation. Surprisingly, this important approach is under-utilized in plant studies, where putative housekeeping genes tend to be used as references without any appropriate validation. Using quantitative RT-PCR, the expression stability of several genes commonly used as references was tested in various tissues of Arabidopsis thaliana and hybrid aspen (Populus tremula x Populus tremuloides). It was found that the expression of most of these genes was unstable, indicating that their use as references is inappropriate. The major impact of the use of such inappropriate references on the results obtained by RT-PCR is demonstrated in this study. Using aspen as a model, evidence is presented indicating that no gene can act as a universal reference, implying the need for a systematic validation of reference genes. For the first time, the extent to which the lack of a systematic validation of reference genes is a stumbling block to the reliability of results obtained by RT-PCR in plants is clearly shown.

Refining Our Standards

This issue of The Plant Cell includes two Letters to the Editor addressing the quantitative analysis of transcript levels by real-time RT-PCR (qRT-PCR). Gutierrez et al. (pages [1734–1735][1]) discuss the importance of systematic validation of reference genes for qRT-PCR analyses, and Udvardi et