Reference Gene Selection for Real-Time Quantitative PCR Analysis of the Mouse Uterus in the Peri-Implantation Period

The study of uterine gene expression patterns is valuable for understanding the biological and molecular mechanisms that occur during embryo implantation. Real-time quantitative RT-PCR (qRT-PCR) is an extremely sensitive technique that allows for the precise quantification of mRNA abundance; however, selecting stable reference genes suitable for the normalization of qRT-PCR data is required to avoid the misinterpretation of experimental results and erroneous analyses. This study employs several mouse models, including an early pregnancy, a pseudopregnancy, a delayed implantation and activation, an artificial decidualization and a hormonal treatment model; ten candidate reference genes (PPIA, RPLP0, HPRT1, GAPDH, ACTB, TBP, B2M, 18S, UBC and TUBA) that are found in uterine tissues were assessed for their suitability as internal controls for relative qRT-PCR quantification. GeNorm^PLUS, NormFinder, and BestKeeper were used to evaluate these candidate reference genes, and all of these methods identified RPLP0 and GAPDH as the most stable candidates and B2M and 18S as the least stable candidates. However, when the different models were analyzed separately, the reference genes exhibited some variation in their expression levels.     

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.     

Identification and Validation of Reference Genes for Quantitative Real-Time PCR in Drosophila suzukii (Diptera: Drosophilidae)

To accurately evaluate gene expression levels and obtain more accurate quantitative real-time RT-PCR (qRT-PCR) data, normalization relative to reliable reference gene(s) is required. Drosophila suzukii, is an invasive fruit pest native to East Asia, and recently invaded Europe and North America, the stability of its reference genes have not been previously investigated. In this study, ten candidate reference genes (RPL18, RPS3, AK, EF-1β, TBP, NADH, HSP22, GAPDH, Actin, α-Tubulin), were evaluated for their suitability as normalization genes under different biotic (developmental stage, tissue and population), and abiotic (photoperiod, temperature) conditions. The three statistical approaches (geNorm, NormFinder and BestKeeper) and one web-based comprehensive tool (RefFinder) were used to normalize analysis of the ten candidate reference genes identified α-Tubulin, TBP and AK as the most stable candidates, while HSP22 and Actin showed the lowest expression stability. We used three most stable genes (α-Tubulin, TBP and AK) and one unstably expressed gene to analyze the expression of P-glycoprotein in abamectin-resistant and sensitive strains, and the results were similar to reference genes α-Tubulin, TBP and AK, which show good stability, while the result of HSP22 has a certain bias. The three validated reference genes can be widely used for quantification of target gene expression with qRT-PCR technology in D.suzukii.     

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.     

Selection of low-variance expressed Malus x domestica (apple) genes for use as quantitative PCR reference genes (housekeepers)

To accurately measure gene expression using PCR-based approaches, there is the need for reference genes that have low variance in expression (housekeeping genes) to normalise the data for RNA quantity and quality. For non-model species such as Malus x domestica (apples), previously, the selection of reference genes relied on using homology to reference genes in model species. In this study, a genomics approach was used to identify apple genes with low variance in expression in 217 messenger RNA (mRNA)-seq data sets covering different tissues, during fruit development, and treated with a range of different stress conditions. Ten potential reference genes were chosen for validation by quantitative PCR (qPCR) over 29 different tissue types and treatments. From the combined mRNA-seq and qPCR results, three potential reference genes are proposed that can be used as good controls for PCR based expression studies. The three genes show homology to lipid transfer proteins, phytochrome protein phosphatase and the ubiquitination pathway. With the progression of research away from non-model species, this approach provides a robust method for selecting candidate genes for use as reference genes in qPCR.     

The choice of reference gene set for assessing gene expression in barley (Hordeum vulgare L.) under low temperature and drought stress

Drought and low temperature are the two most significant causes of abiotic stress in agricultural crops and, therefore, they pose considerable challenges in plant science. Hence, it is crucial to study response mechanisms and to select genes for identification signaling pathways that lead from stimulus to response. The assessment of gene expression is often attempted using real-time RT-PCR (qRT-PCR), a technique which requires a careful choice of reference gene(s) for normalization purpose. Here, we report a comparison of 13 potential reference genes for studying gene expression in the leaf and crown of barley seedlings subjected to low temperature or drought stress. All three currently available software packages designed to identify reference genes from qRT-PCR data (GeNorm, NormFinder and BestKeeper) were used to identify informative sets of up to three reference genes. Interestingly, the data obtained from the separate treatment of leaf and crown have led to the recommendations that HSP70 and S-AMD (and possibly HSP90) to be used as the reference genes for low-temperature stressed leaves, HSP90 and EF1α for low-temperature stressed crowns, cyclophilin and ADP-RF (and possibly ACT) for drought-stressed leaves, and EF1α and S-AMD for drought-stressed crowns. Our results have demonstrated that the gene expression can be highly tissue- or organ-specific in barley and have confirmed that reference gene choice is essential in qRT-PCR. The findings can also serve as guidelines for the selection of reference genes under different stress conditions and lay foundation for more accurate and widespread use of qRT-PCR in barley gene analysis.