Reference Gene Selection for Quantitative Real-Time PCR Normalization in Reaumuria soongorica

Despite its superiority for evaluating gene expression, real-time quantitative polymerase chain reaction (qPCR) results can be significantly biased by the use of inappropriate reference genes under different experimental conditions. Reaumuria soongorica is a dominant species of desert ecosystems in arid central Asia. Given the increasing interest in ecological engineering and potential genetic resources for arid agronomy, it is important to analyze gene function. However, systematic evaluation of stable reference genes should be performed prior to such analyses. In this study, the stabilities of 10 candidate reference genes were analyzed under 4 kinds of abiotic stresses (drought, salt, dark, and heat) within 4 accessions (HG010, HG020, XGG030, and XGG040) from 2 different habitats using 3 algorithms (geNorm, NormFinder, and BestKeeper). After validation of the ribulose-1,5-bisphosphate carboxylase/oxygenase large unite (rbcL) expression pattern, our data suggested that histone H2A (H2A) and eukaryotic initiation factor 4A-2 (EIF4A2) were the most stable reference genes, cyclophilin (CYCL) was moderate, and elongation factor 1α (EF1α) was the worst choice. This first systematic analysis for stably expressed genes will facilitate future functional analyses and deep mining of genetic resources in R. soongorica and other species of the Reaumuria genus.     

Reference Gene Selection for Gene Expression Studies Using Quantitative Real-Time PCR Normalization in Atropa belladonna

Quantitative PCR (qPCR) is a powerful tool for measuring gene expression levels. Accurate and reproducible results are dependent on the correct choice of reference genes for data normalization. Atropa belladonna is a commercial plant species from which pharmaceutical tropane alkaloids are extracted. In this study, eight candidate reference genes, namely 18S ribosomal RNA (18S), actin (ACT), cyclophilin (CYC), elongation factor 1α (EF-1α), β-fructosidase (FRU), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), phosphoglycerate kinase (PGK), and beta-tubulin (TUB), were selected and their expression stabilities studied to determine their suitability for normalizing gene expression in A. belladonna. The expression stabilities of these genes were analyzed in the root, stem, and leaf under cold, heat, NaCl, UV-B, methyl jasmonate, salicylic acid, and abscisic acid treatments using geNorm, NormFinder, and BestKeeper. The statistical algorithms indicated that PGK was a reliable gene for normalizing gene expression under most of the experimental conditions. The pairwise value analysis showed that two genes were sufficient for proper expression normalization, except when analyzing gene expression in heat-treated roots. However, the choice of the second reference gene depended on specific conditions. Finally, the relative expression level of the PMT gene of A. belladonna was detected to validate the selection of PGK a reliable reference gene. In summary, our results should guide the selection of appropriate reference genes for gene expression studies in A. belladonna under different organs and abiotic stress conditions.     

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.     

Selection of Reference Genes for Real-Time Quantitative PCR in Pinus massoniana Post Nematode Inoculation

Pinus massoniaia Lamb has gained more and more attention as the most important tree species for timber and forestation in South China. Gene expression studies are of great importance to identify new and elite cultivars. Real-time quantitative PCR, a highly sensitive and specific method, is commonly used in the analysis of gene expression. The appropriate reference genes must be employed to normalize the calculation program for ascertaining repeatable and significant results. Herein, eleven housekeeping genes were evaluated during different stages of P. massoniana post nematode inoculation in this study. Three statistical approaches such as geNorm, NormFinder and BestKeeper were selected to analyze the stability of candidate genes. The results indicated that U2af and β-TUB were the most stable reference genes. These two genes could be used for the normalization in most of the experiments of P. massoniana, while Histone and AK were the least stable ones. In addition, EF expressed at the lowest average Ct value was the most abundant candidate gene. As an important gene associated with defense mechanisms, ABC transporter was analyzed by qRT-PCR, and the results were used to confirm the reliability of two genes. The selected reference genes in the present study will be conducive to future gene expression normalized by qRT-PCR in P. massoniana.     

Reference Gene Selection for Quantitative Real-Time PCR Normalization in Larvae of Three Species of Grapholitini (Lepidoptera: Tortricidae)

Despite the agricultural importance of species in the Grapholitini (Lepidoptera: Tortricidae), and the value of gene expression analysis for improved population management, few gene expression studies based on quantitative real-time PCR (qPCR) have been conducted for this tribe. Part of the reason for this lack of information is that suitable reference genes, which are fundamental for accurate normalization of qPCR studies, have not been identified for the tribe. Thus, the expression stability of six potential reference genes (ACT, AK, COI, EF1, ENO and TUB) was assessed in three different tissues (whole body, midgut and cuticle) of Cryptophlebia peltastica (Meyrick), Cydia pomonella (L.) and Thaumatotibia leucotreta (Meyrick). Additionally, these reference genes were tested using T. leucotreta at different temperatures (15°C, 25°C and 35°C) with and without baculovirus infection. Suitable reference genes were identified for the whole body and midgut tissue of all three species, and for cuticle tissue of Cy. pomonella and T. leucotreta. When T. leucotreta was infected with the virus at all temperature conditions ACT, AK and EF1 were found to be the most suitable reference genes for experimental normalization. In general, for all tissue types, species and stress conditions, AK and EF1 were the best-performing reference genes. However, even though the three species analysed were closely related and within the same tribe, each species required varying gene combinations for suitable normalization. This study provides the first reference gene evaluation for the Tortricidae, and paves the way for future qPCR analysis in Tortricidae.     

Identification of Reference Genes for Quantitative Real-Time PCR in Date Palm (Phoenix dactylifera L.) Subjected to Drought and Salinity

Date palm is an important crop plant in the arid and semi-arid regions supporting human population in the Middle East and North Africa. These areas have been largely affected by drought and salinity due to insufficient rainfall and improper irrigation practices. Date palm is a relatively salt- and drought-tolerant plant and more recently efforts have been directed to identifying genes and pathways that confer stress tolerance in this species. Quantitative real-time PCR (qPCR) is a promising technique for the analysis of stress-induced differential gene expression, which involves the use of stable reference genes for normalizing gene expression. In an attempt to find the best reference genes for date palm’s drought and salinity research, we evaluated the stability of 12 most commonly used reference genes using the geNorm, NormFinder, BestKeeper statistical algorithms and the comparative ΔC_T method. The comprehensive results revealed that HEAT SHOCK PROTEIN (HSP), UBIQUITIN (UBQ) and YTH domain-containing family protein (YT521) were stable in drought-stressed leaves whereas GLYCERALDEHYDE-3-PHOSPHATE DEHYDROGENASE (GAPDH), ACTIN and TUBULIN were stable in drought-stressed roots. On the other hand, SMALL SUBUNIT RIBOSOMAL RNA (25S), YT521 and 18S ribosomal RNA (18S); and UBQ, ACTIN and ELONGATION FACTOR 1-ALPHA (eEF1a) were stable in leaves and roots, respectively, under salt stress. The stability of these reference genes was verified by using the abiotic stress-responsive CYTOSOLIC Cu/Zn SUPEROXIDE DISMUTASE (Cyt-Cu/Zn SOD), an ABA RECEPTOR, and a PROLINE TRANSPORTER 2 (PRO) genes. A combination of top 2 or 3 stable reference genes were found to be suitable for normalization of the target gene expression and will facilitate gene expression analysis studies aimed at identifying functional genes associated with drought and salinity tolerance in date palm.     

Selection of Suitable Reference Genes for Quantitative Real-Time PCR in Apoptosis-Induced MCF-7 Breast Cancer Cells

Apoptosis is induced in MCF-7 breast cancer cells following treatment with salicylic acid (20 mM), either in the presence or absence of a heat shock (42°C for 30 min). In order to study the alterations of apoptotic genes with quantitative real-time PCR (qPCR), suitable genes with unchanged expression following the treatments is required for normalizing the gene expression levels. In this study, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), β-actin (ACTB), Histone H2A (HIST), constitutively expressed heat shock protein 70 (HSC70) and tyrosine 3-monooxygenase/trytophan 5 monooxygenase activation protein, 14-3-3 (YWHAZ) were evaluated as appropriate reference genes. Analysis of gene expression data with one-way ANOVA, geNorm and NormFinder identified HIST and YWHAZ as the least affected during the induction of apoptosis by the different treatments, and is the most suitable gene-pair for normalization during qPCR analysis in MCF-7 breast cancer cells undergoing apoptosis following treatment with SA and/or HS.     

实时荧光定量PCR中内参基因的选择

实时荧光定量PCR技术是分析基因表达谱的一种常用方法,在分析中选择合适的内参基因对数据进行校正是得到可信数据的关键。以Lactobacillus helveticus H9为研究对象,应用实时荧光定量PCR技术,评价了5种常用内参基因ldh、recA、rpoB、gapdh和16S rRNA的表达稳定性,通过geNorm和NormFinder程序进行数据分析,结果表明5个候选内参基因在菌株不同的发酵时间点表达相对都较为稳定,结合两种分析得到其中最为稳定的基因是ldh,适合于用作后续实时荧光定量PCR试验中的内参基因。     

Wheat Lysin-Motif-Containing Proteins Characterization and Gene Expression Patterns under Abiotic and Biotic Stress

Lysin motif (LysM)-containing proteins (LYPs) are important pattern recognition receptors in plants. However, the evolutionary history and characteristics of LYP genes remain largely unclear in wheat. In this study, 62 LYPs were identified at genome wide in wheat. Based on phylogenetic and domain analysis, wheat LYPs were classified into 6 subgroups (group LysMe, LysMn, LYP, LYK, LysMFbox). Syntenic analysis showed the evolution of LYP genes in wheat. RNA-seq data showed that 22 genes were not expressed at any tissue or stress stimulation period. Some LYP and LYK genes were tissue- or stage- specific. The majority of TaLYK5s, TaLYK6s, TaLYP2s and TaLysMns genes were induced under chitin, flg22 and fungal treatment. qRT-PCR analysis showed that 4 genes were upregulated during Puccinia triticina infection with a peak at 18 h post inoculation. Our findings suggested that wheat LYPs may have specific roles in response to fungal infection and provided insights into the function and characteristics of wheat LYP genes.     

Validation of Appropriate Reference Genes for Real-Time Quantitative PCR Gene Expression Analysis in Rice Plants Exposed to Metal Stresses

Environmental pollution by toxic heavy metals may lead to the possible contamination of the rice plant (Oryza sativa L.). Although gene expression analysis through real-time quantitative PCR (RT-qPCR) has increased our knowledge about biological responses to heavy metals, gene network that mediates rice plant responses to heavy metal stress remains elusive. In such scenario, validation of reference gene is a major requirement for successful analyzes involving RT-qPCR. In this study, we analyzed the expression stability of eight commonly used housekeeping genes (GAPDH, Actin, eIF-4α, UBQ 5, UBQ 10, UBC, EF-1α and β-TUB) in rice leaves exposed to four kinds of heavy metals (Zn, Cu, Cd and Pb). The expression stability of these genes was determined using geNorm, NormFinder, BestKeeper and RefFinder algorithms. The results showed that UBQ 10 and UBC were the most stable reference genes across all the tested samples. We measured the expression profiles of the heavy metal-inducible gene O. sativa METALLOTHIONEIN2b (OsMT2b) using the two most stable and one least stable reference genes in all samples. The relative expression of OsMT2b varied greatly according to the different reference genes. Our results may be beneficial for future studies involving the quantification of relative gene expression levels in rice plants.     

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.     

Reference Gene Selection in Carnobacterium maltaromaticum,Lactobacillus curvatus,and Listeria innocua Subjected to Temperature and Salt Stress

Eight putative consistently expressed genes in Carnobacterium maltaromaticum and Lactobacillus curvatus, and nine in Listeria innocua, were examined for their potential as references for the normalization of gene expression. Expression stability of candidate reference genes was evaluated under growth conditions of low (5 °C) and moderately high (40–42.5 °C) temperatures, and high salt (≥3 % NaCl) using the geNormplus and NormFinder algorithms. Under temperature stress, both algorithms ranked elongation factor Tu (Tuf) as the most stably expressed gene in C. maltaromaticum. In L. curvatus, at similar conditions, geNormplus identified Tuf and 6-phosphogluconate dehydrogenase (6PGDH) as suitable for normalization, while NormFinder identified phenylalanyl-tRNA synthase and recombinase A as the best pair. In L. innocua grown under the same temperatures, geNormplus ranked 6PGDH, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and Tuf as the top three most stable references, whereas NormFinder identified GAPDH and 6PGDH as suitable for normalization, with Tuf ranked as number six. There was less consistency between algorithms in the salt stress experiment. No gene was identified that exhibited such a constant level of expression as to outperform the other candidates under both experimental conditions. This study underlines the need for normalizing bacterial gene expression using multiple carefully selected references.     

Rice Mitogen-activated Protein Kinase Gene Family and Its Role in Biotic and Abiotic Stress Response

The mitogen-activated protein kinase (MAPK) cascade is an important signaling module that transduces extracellu-lar stimuli into intracellular responses in eukaryotic organisms. An increasing body of evidence has shown that theMAPK-mediated cellular signaling is crucial to plant growth and development, as well as biotic and abiotic stressresponses. To date, a total of 17 MAPK genes have been identified from the rice genome. Expression profiling,biochemical characterization and/or functional analysis were carried out with many members of the rice MAPKgene family, especially those associated with biotic and abiotic stress responses. In this review, the phylogeneticrelationship and classification of rice MAPK genes are discussed to facilitate a simple nomenclature and standardannotation of the rice MAPK gene family. Functional data relating to biotic and abiotic stress responses are re-viewed for each MAPK group and show that despite overlapping in functionality, there is a certain level of functionalspecificity among different rice MAP kinases, The future challenges are to functionally characterize each MAPK, toidentify their downstream substrates and upstream kinases, and to genetically manipulate the MAPK signalingpathway in rice crops for the improvement of agronomically important traits.