Suitable Reference Genes Research Articles

Screening and Stability Analysis of Reference Genes for Gene Expression Normalization in Hybrid Yellow Catfish (Pelteobagrus fulvidraco ♀ × Pelteobagrus vachelli ♂) Fed Diets Containing Different Soybean Meal Levels.

In this study, we screened the expression stability of six reference genes (18S rRNA, β-actin, GAPDH, EF1a, B2M, and HPRT1) in hybrid yellow catfish (n = 6), considering the SBM levels, sampling time points, and different tissues. Four different statistical programs, BestKeeper, NormFinder, Genorm, and Delta Ct, combined with a method that comprehensively considered all results, were used to evaluate the expression stability of these reference genes systematically. The results showed that SBM levels significantly impacted the expression stability of most of the reference genes studied and that this impact was time-, dose-, and tissue-dependent. The expression stability of these six reference genes varied depending on tissue, sampling time point, and SBM dosage. Additionally, more variations were found among different tissues than among different SBM levels or sampling time points. Due to its high expression, 18S rRNA was excluded from the list of candidate reference genes. β-actin and GAPDH in the liver and β-actin, HPRT1 and EF1a in the intestine were the most stable reference genes when SBM levels were considered. HPRT1, and EF1a in tissues sampled at 2 W and EF1a and β-actin in tissues sampled at 4 and 6 W were proposed as two stable reference genes when different tissues were considered. When the sampling time points were considered, β-actin, EF1a, and HPRT1 were the top three stable reference genes in the intestine. In contrast, β-actin and B2M are the most stable reference genes in the liver. In summary, β-actin, EF1a, and HPRT1 were the more stable reference genes in this study. The stability of reference genes depends on the tissues, sampling time points, and SBM diet levels in hybrid yellow catfish. Therefore, attention should be paid to these factors before selecting suitable reference genes for normalizing the target genes.

Evaluation of reference genes for accurate normalization of qPCR data under biotic stresses in mulberry (Morus indica L.)

Biotic stresses adversely affect the leaf quality as well as the yield of mulberry (Morus spp.) which is used to feed mulberry silkworm (Bombyx mori L.). The different biotic stresses which are of economic importance in mulberry are tukra caused by mealybug insect, root knot disease by nematode, powdery mildew, and root rot by fungi. Reverse transcription-quantitative PCR (RT-qPCR) is a preferred technique to assess the transcript abundance of target genes associated with the diseases using a suitable reference gene as a normalizer. However, no study has been conducted to identify suitable reference genes during different biotic stresses in mulberry. In the present work, six candidate reference genes were quantified through qPCR during different biotic stresses in mulberry and their stability was compared using geNorm, NormFinder and RefFinder algorithms. The analysis of data revealed that actin was the preferred gene during root rot and root knot nematode infection for normalizing gene expression. Ubiquitin gene was the best-scoring gene for mealybug infestation resulting in tukra disease. PP2A (Protein phosphatase 2A) and RPL3 (60S ribosomal protein L3) were highly stable expressing genes during powdery mildew fungi infection. In the combined analysis of all tested biotic stresses, actin gene was the most preferred one followed by ubiquitin and PP2A as reference genes. This study identified the best scoring reference genes in various biotic stresses which will contribute for the precise quantification of target genes by RT-qPCR in mulberry as a tool to unravel the disease resistance mechanism.

Identification and Validation of Reference Genes for RT-qPCR Analysis in Reed Canary Grass during Abiotic Stress.

Reed canary grass (Phalaris arundinacea L.) is known for its tolerance to drought, heavy metals, and waterlogging, making it a popular choice for forage production and wetland restoration in the Qinghai-Tibet Plateau (QTP). To accurately assess gene expression in reed canary grass under different abiotic stresses, suitable reference genes need to be identified and validated. Thirteen candidate reference gene sequences were selected and screened using RT-qPCR to detect their expression levels in reed canary grass leaves under drought, salt, cadmium, and waterlogging stresses. Four algorithms were used to assess the stability of the expression levels of the candidate reference genes. The most stably expressed genes were UBC and H3 under drought Cd, ETF and CYT under salt stress, and ETF and TUB under waterlogging stress. GAPDH was found to be less stable under abiotic stresses. PIP-1, PAL, NAC 90, and WRKY 72A were selected as response genes for quantitative expression assessment under drought, salt, Cd, and waterlogging stresses to confirm the accuracy of the selected stable reference genes. These results provide a theoretical reference for assessing gene expression in reed canary grass under abiotic stresses.

Relationship of quantitative reverse transcription polymerase chain reaction (RT-PCR) to RNA Sequencing (RNAseq) transcriptome identifies mouse preimplantation embryo reference genes†.

Numerous reference genes for use with quantitative reverse transcription polymerase chain reaction (RT-qPCR) have been used for oocytes, eggs, and preimplantation embryos. However, none are actually suitable because of their large variations in expression between developmental stages. To address this, we produced a standardized and merged RNA sequencing (RNAseq) data set by combining multiple publicly available RNAseq data sets that spanned mouse GV oocytes, MII eggs, and 1-cell, 2-cell, 4-cell, 8-cell, morula, and blastocyst stage embryos to identify transcripts with essentially constant expression across all stages. Their expression was then measured using RT-qPCR, with which they did not exhibit constant expression but instead revealed a fixed quantitative relationship between measurements by the two techniques. From this, the relative amounts of total messenger RNA at each stage from the GV oocyte through blastocyst stages were calculated. The quantitative relationship between measurements by RNAseq and RT-qPCR was then used to find genes predicted to have constant expression across stages in RT-qPCR. Candidates were assessed by RT-qPCR to confirm constant expression, identifying Hmgb3 and Rb1cc1 or the geometric mean of those plus either Taf1d or Cd320 as suitable reference genes. This work not only identified transcripts with constant expression from mouse GV oocytes to blastocysts, but also determined a general quantitative relationship between expression measured by RNAseq and RT-qPCR across stages that revealed the relative levels of total mRNA at each stage. The standardized and merged RNA data set should also prove useful in determining transcript expression in mouse oocytes, eggs, and embryos.

Reference Gene U2 Enables Direct Comparison between Relative Gene Expression Levels of Vascular Smooth Muscle Cells in Tissue and Culture Using Real-Time Quantitative PCR.

In nearly every lab, real-time quantitative polymerase chain reaction (qPCR) is used to quantify gene expression. However, a comparison of different samples requires the careful selection of suitable reference genes (RGs), sometimes referred to as housekeeping genes. In the case of vascular smooth muscle cells (vSMCs), it is important to know under which conditions gene expression in isolated and cultured vSMCs can be compared with vSMCs in a healthy blood vessel. We isolated the vSMC-containing layer of the rat aorta (tunica media) and used one (longitudinal) half for direct RNA extraction, while the other half served to isolate and culture vSMCs prior to RNA extraction. First, the expression of the routinely used RGs beta-actin (Actb) and Glyceraldehyde-3-phosphate dehydrogenase (Gapdh) is investigated in intact media and corresponding cultured vSMCs. Significant differences in their Ct values show that these RGs could not be used for such direct comparisons; therefore, we select 15 different RGs. Only the gene expression of the small ribonuclear protein (snRNP) U2 shows no significant differences between the absolute Ct values of cultured vSMCs and the intact media; moreover, no differences were found between male and female rats in our experimental setup. In conclusion, U2 was shown to be an appropriate (sex-independent) RG to compare relative expression levels of vSMCs in culture to those vSMCs within their physiological tissue environment.

Hprt Serves as an Ideal Reference Gene for qRT-PCR Normalization in Rat DRG Neurons.

To identify suitable reference genes for gene expression studies in rat dorsal root ganglia (DRG) neurons. The raw cycle threshold (Ct) values of 12 selected reference genes were obtained via quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) in neurons at different developmental stages or under different treatments. Two strategies were employed to screen the most stable reference genes: the genes were ranked according to the coefficient of biological variation and further validated using geNorm and NormFinder programs. The stable and unstable reference genes were subsequently used as internal controls to assess their effects on target gene expression. All reference genes showed varying degrees of fluctuation in Ct values during the growth process of neurons or after different treatments. 18S ribosomal RNA (Rn18s) and β-actin (Actb) exhibited the most significant changes, while ubiquitin C (Ubc), hypoxanthine phosphoribosyl transferase (Hprt), and mitochondrial ribosomal protein L10 (Mrpl10) showed relatively minor changes. The most stable and unstable genes obtained by different evaluation methods varied slightly. Overall, Actb was found to be the most unstable reference gene, while Hprt was the relatively most stable reference gene. The use of unstable reference genes Actb and ankyrin repeat domain 27 (Ankrd27) as internal controls led to high variability within the control group, ultimately affecting the determination of target gene expression. In contrast, the stable reference gene Hprt had small inter-assay variation and high stability. Our observations indicate that Hprt is a proper endogenous reference gene for qRT-PCR analysis in rat DRG neurons and thus provides a critical molecular basis for the genetic characterization in neurological disorders.

Selection of stable housekeeping genes for gene expression studies in different varieties of black pepper (Piper nigrum L.)

Real Time quantitative PCR (RT-qPCR) is a widely used technique to study the transcript level modulation of genes during developmental stages of crop plants as well as in stress responses. Suitable reference genes have not been validated in many plants including black pepper. In this study, expression stability of six commonly used housekeeping genes viz., actin, ?-tubulin, elongation factor, initiation factor, ubiquitin and glyceraldehyde 3- phosphate dehydrogenase were evaluated by RT-qPCR during the growth of the black pepper inflorescence of varieties viz., Panniyur 1, Karimunda and Thekken. The results were analyzed using geNorm and Normfinder statistical algorithms. Stable reference gene is critical for the accurate normalization of target gene data in RT-qPCR. In this study actin, elongation factor and initiation factor were identified as the most stable housekeeping gene in different black pepper varieties viz., Thekken, Panniyur 1 and Karimunda respectively. Actin in combination with GAPDH and elongation factor were obtained as optimal reference genes for Thekken. It is the first report on identification of stable housekeeping gene in different varieties of black pepper and can aid in expression studies in black pepper for yield improvement. The study will aid in normalization of gene expression studies in different varieties of black pepper.

Screening of reference genes for microRNA analysis in the study of solider caste differentiation of Formosan subterranean termite Coptotermes formosanus Shiraki

The soldier caste differentiation is a complex process that is governed by the transcriptional regulation and post-transcriptional regulation. microRNAs (miRNAs) are noncoding RNAs that control a wide range of activities. However, their roles in solider caste differentiation are barely studied. RT-qPCR is a powerful tool to study the function of genes. A reference gene is required for normalization for the the relative quantification method. However, no reference gene is available for miRNA quantification in the study of solider caste differentiation of Coptotermes formosanus Shiraki. In this research, in order to screen the suitable reference genes for the study of the roles of miRNAs in solider caste differentiation, the expression levels of 8 candidate miRNA genes were quantified in the head and thorax + abdomen during soldier differentiation. The qPCR data were analyzed using geNorm, NormFinder, BestKeeper, ΔCt method and RefFinder. The normalization effect of the reference genes was evaluated using the let-7-3p. Our study showed that novel-m0649-3p was the most stable reference gene, while U6 was the least stable reference gene. Our study has selected the most stable reference gene, and has paved the way for functional analysis of miRNAs in solider caste differentiation.

Selection and Validation of Optimal RT-qPCR Reference Genes for the Normalization of Gene Expression under Different Experimental Conditions in Lindera megaphylla.

Lindera megaphylla, a broad-leaved evergreen that is used as a landscape ornamental plant and medicinal plant, is an ecologically important and dominant tree species. However, little is known about the molecular mechanisms of its growth, development, and metabolism. The selection of suitable reference genes is critical for molecular biological analyses. To date, no research on reference genes as a foundation for gene expression analysis has been undertaken in L. megaphylla. In this study, 14 candidate genes were selected from the transcriptome database of L. megaphylla for RT-qPCR assay under different conditions. Results showed that helicase-15 and UBC28 were most stable in different tissues of seedlings and adult trees. For different leaf developmental stages, the best combination of reference genes was ACT7 and UBC36. UBC36 and TCTP were the best under cold treatment, while PAB2 and CYP20-2 were the best under heat treatment. Finally, a RT-qPCR assay of LmNAC83 and LmERF60 genes were used to further verify the reliability of selected reference genes above. This work is the first to select and evaluate the stability of reference genes for the normalization of gene expression analysis in L. megaphylla and will provide an important foundation for future genetic studies of this species.

Nanoparticle-Shielded dsRNA Delivery for Enhancing RNAi Efficiency in Cotton Spotted Bollworm Earias vittella (Lepidoptera: Nolidae).

The spotted bollworm Earias vittella (Lepidoptera: Nolidae) is a polyphagous pest with enormous economic significance, primarily affecting cotton and okra. However, the lack of gene sequence information on this pest has a significant constraint on molecular investigations and the formulation of superior pest management strategies. An RNA-seq-based transcriptome study was conducted to alleviate such limitations, and de novo assembly was performed to obtain transcript sequences of this pest. Reference gene identification across E. vittella developmental stages and RNAi treatments were conducted using its sequence information, which resulted in identifying transcription elongation factor (TEF), V-type proton ATPase (V-ATPase), and Glyceraldehyde -3-phosphate dehydrogenase (GAPDH) as the most suitable reference genes for normalization in RT-qPCR-based gene expression studies. The present study also identified important developmental, RNAi pathway, and RNAi target genes and performed life-stage developmental expression analysis using RT-qPCR to select the optimal targets for RNAi. We found that naked dsRNA degradation in the E. vittella hemolymph is the primary reason for poor RNAi. A total of six genes including Juvenile hormone methyl transferase (JHAMT), Chitin synthase (CHS), Aminopeptidase (AMN), Cadherin (CAD), Alpha-amylase (AMY), and V-type proton ATPase (V-ATPase) were selected and knocked down significantly with three different nanoparticles encapsulated dsRNA conjugates, i.e., Chitosan-dsRNA, carbon quantum dots-dsRNA (CQD-dsRNA), and Lipofectamine-dsRNA conjugate. These results demonstrate that feeding nanoparticle-shielded dsRNA silences target genes and suggests that nanoparticle-based RNAi can efficiently manage this pest.

Identification of optimal reference genes in golden Syrian hamster with ethanol- and palmitoleic acid-induced acute pancreatitis using quantitative real-time polymerase chain reaction.

Acute pancreatitis (AP) is a severe disorder that leads to high morbidity and mortality. Appropriate reference genes are important for gene analysis in AP. This study sought to study the expression stability of several reference genes in the golden Syrian hamster, a model of AP. AP was induced in golden Syrian hamster by intraperitoneal injection of ethanol (1.35 g/kg) and palmitoleic acid (2 mg/kg). The expression of candidate genes, including Actb, Gapdh, Eef2, Ywhaz, Rps18, Hprt1, Tubb, Rpl13a, Nono, and B2m, in hamster pancreas at different time points (1, 3, 6, 9, and 24 h) posttreatment was analyzed using quantitative polymerase chain reaction. The expression stability of these genes was calculated using BestKeeper, Comprehensive Delta CT, NormFinder, and geNorm algorithms and RefFinder software. Our results show that the expression of these reference genes fluctuated during AP, of which Ywhaz and Gapdh were the most stable genes, whereas Tubb, Eef2, and Actb were the least stable genes. Furthermore, these genes were used to normalize the expression of TNF-α messenger ribonucleic acid in inflamed pancreas. In conclusion, Ywhaz and Gapdh were suitable reference genes for gene expression analysis in AP induced in Syrian hamster.

Screening of Suitable Reference Genes for Immune Gene Expression Analysis Stimulated by Vibrio anguillarum and Copper Ions in Chinese Mitten Crab (Eriocheir sinensis).

The reference gene expression is not always stable under different experimental conditions, and screening of suitable reference genes is a prerequisite in quantitative real-time polymerase chain reaction (qRT-PCR). In this study, we investigated gene selection, and the most stable reference gene for the Chinese mitten crab (Eriocheir sinensis) was screened under the stimulation of Vibrio anguillarum and copper ions, respectively. Ten candidate reference genes were selected, including arginine kinase (AK), ubiquitin-conjugating enzyme E2b (UBE), glutathione S-transferase (GST), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), elongation factor 1α (EF-1α), α-tubulin (α-TUB), heat shock protein 90 (HSP90), β-actin (β-ACTIN), elongation factor 2 (EF-2) and phosphoglucomutase 2 (PGM2). Expression levels of these reference genes were detected under the stimulation of V. anguillarum at different times (0 h, 6 h, 12 h, 24 h, 48 h and 72 h) and copper ions in different concentrations (11.08 mg/L, 2.77 mg/L, 0.69 mg/L and 0.17 mg/L). Four types of analytical software, namely geNorm, BestKeeper, NormFinder and Ref-Finder, were applied to evaluate the reference gene stability. The results showed that the stability of the 10 candidate reference genes was in the following order: AK > EF-1α > α-TUB > GAPDH > UBE > β-ACTIN > EF-2 > PGM2 > GST > HSP90 under V. anguillarum stimulation. It was GAPDH > β-ACTIN > α-TUB > PGM2 > EF-1α > EF-2 > AK > GST > UBE > HSP90 under copper ion stimulation. The expression of E. sinensis Peroxiredoxin4 (EsPrx4) was detected when the most stable and least stable internal reference genes were selected, respectively. The results showed that reference genes with different stability had great influence on the accurate results of the target gene expression. In the Chinese mitten crab (E. sinensis), AK and EF-1α were the most suitable reference genes under the stimulation of V. anguillarum. Under the stimulation of copper ions, GAPDH and β-ACTIN were the most suitable reference genes. This study provided important information for further research on immune genes in V. anguillarum or copper ion stimulation.

Identification and validation of the reference genes in the echiuran worm Urechis unicinctus based on transcriptome data

BackgroundReal-time quantitative PCR (RT-qPCR) is a crucial and widely used method for gene expression analysis. Selecting suitable reference genes is extremely important for the accuracy of RT-qPCR results. Commonly used reference genes are not always stable in various organisms or under different environmental conditions. With the increasing application of high-throughput sequencing, transcriptome analysis has become an effective method for identifying novel stable reference genes.ResultsIn this study, we identified candidate reference genes based on transcriptome data covering embryos and larvae of early development, normal adult tissues, and the hindgut under sulfide stress using the coefficient of variation (CV) method in the echiuran Urechis unicinctus, resulting in 6834 (15.82%), 7110 (16.85%) and 13880 (35.87%) candidate reference genes, respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed that the candidate reference genes were significantly enriched in cellular metabolic process, protein metabolic process and ribosome in early development and normal adult tissues as well as in cellular localization and endocytosis in the hindgut under sulfide stress. Subsequently, ten genes including five new candidate reference genes and five commonly used reference genes, were validated by RT-qPCR. The expression stability of the ten genes was analyzed using four methods (geNorm, NormFinder, BestKeeper, and ∆Ct). The comprehensive results indicated that the new candidate reference genes were more stable than most commonly used reference genes. The commonly used ACTB was the most unstable gene. The candidate reference genes STX12, EHMT1, and LYAG were the most stable genes in early development, normal adult tissues, and hindgut under sulfide stress, respectively. The log2(TPM) of the transcriptome data was significantly negatively correlated with the Ct values of RT-qPCR (Ct = − 0.5405 log2(TPM) + 34.51), which made it possible to estimate the Ct value before RT-qPCR using transcriptome data.ConclusionOur study is the first to select reference genes for RT-qPCR from transcriptome data in Echiura and provides important information for future gene expression studies in U. unicinctus.

Drought and Oxidative Stress in Flax (Linum usitatissimum L.) Entails Harnessing Non-Canonical Reference Gene for Precise Quantification of qRT-PCR Gene Expression.

Flax (Linum usitatissimum L.) is a self-pollinating, annual, diploid crop grown for multi-utility purposes for its quality oil, shining bast fiber, and industrial solvent. Being a cool (Rabi) season crop, it is affected by unprecedented climatic changes such as high temperature, drought, and associated oxidative stress that, globally, impede its growth, production, and productivity. To precisely assess the imperative changes that are inflicted by drought and associated oxidative stress, gene expression profiling of predominant drought-responsive genes (AREB, DREB/CBF, and ARR) was carried out by qRT-PCR. Nevertheless, for normalization/quantification of data obtained from qRT-PCR results, a stable reference gene is mandatory. Here, we evaluated a panel of four reference genes (Actin, EF1a, ETIF5A, and UBQ) and assessed their suitability as stable reference genes for the normalization of gene expression data obtained during drought-induced oxidative stress in flax. Taking together, from the canonical expression of the proposed reference genes in three different genotypes, we report that EF1a as a stand-alone and EF1a and ETIF5A in tandem are suitable reference genes to be used for the real-time visualization of cellular impact of drought and oxidative stress on flax.

RefFinder: a web-based tool for comprehensively analyzing and identifying reference genes.

Although many genes may serve as reference genes, they may cause different expression patterns by selecting different reference genes because no single gene is expressed consistently in all tested tissues of an organism under all environmental and developmental conditions. Thus, it is becoming increasingly important and necessary to identify suitable reference genes before performing gene expression analysis. Currently, there are several computational tools available for evaluating the stability of candidate reference genes. These tools are based on different statistical algorithms and may produce different rankings in stability within the same reference gene study. To date, the RefFinder is the only web-based tool available for comparing and evaluating housekeeping genes as candidates to be reference genes. In this tool, we integrated the four currently available computational programs (geNorm, NormFinder, BestKeeper, and the comparative ΔCt method) into a web-based tool for evaluating the stability and reliability of reference genes. According to the gene stability rankings derived from the four programs, we assigned an appropriate weight to each gene and calculated the geometric mean of weights for the final rankings. Aside from the overall ranking, a single program or combination of the four programs can be selected for evaluating the ranking of candidate reference genes. This tool has been widely used and validated by many research laboratories around the world. You may use this tool at http://www.heartcure.com.au/reffinder/ or https://blooge.cn/RefFinder/ . You can also download this algorithm program from https://github.com/fulxie/RefFinder and setup on your own computer. RefFinder is developed by PHP. Users can deploy it to a Php-based server (Apache + PHP) and run it.

MicroRNA expression profile analysis in human skeletal muscle tissue: Selection of critical reference

MicroRNAs (miRNAs) are highly conserved small non-coding RNAs, that modulate gene expression by targeting messenger RNA of many processes. Thus, miRNAs are key regulators of both physiological and pathological settings. Reliable results of quantitative miRNA evaluation depend on suitable reference genes (RGs) for data normalization. To date, no consensus has been reached on the best RG for muscle tissue. We assessed RGs stability in skeletal muscle tissue in patients with spinal deformity. Ninety tissue samples were obtained from the deep paravertebral muscles from the convex and concave sides of the spinal curvature, as well as the superficial paraspinal muscles. We evaluated the stability of twelve miRNAs (hsa-miR-1–3p, hsa-miR-1–5p, hsa-miR-26b-5p, hsa-miR-92a-3p, hsa-miR-133a-3p, hsa-miR-133a-5p, hsa-miR-133b, hsa-miR-191–5p, hsa-miR-206, hsa-miR-208b-5p, hsa-miR-486–5p, hsa-miR-499a-5p), finding three to be indicative of reference miRNA, and nine as muscle-tissue specific. Stability was quantified using four statistical tools and a comprehensive ranking system. Three miRNAs were indicated as the most stable, and we assessed hsa-miR-486–5p as the most, and hsa-miR-208b-5p as the least suitable RGs for miRNA quantitative analyses. We recommend using a minimum of three RGs miRNA to normalize RT-qPCR data. Finally, qPCR efficiency should always be considered. To obtain consistent results, data normalization in muscle tissue is required.

Identification of Optimal Reference Genes for qRT-PCR Normalization for Physical Activity Intervention and Omega-3 Fatty Acids Supplementation in Humans.

The quantitative polymerase chain reaction (qRT-PCR) technique gives promising opportunities to detect and quantify RNA targets and is commonly used in many research fields. This study aimed to identify suitable reference genes for physical exercise and omega-3 fatty acids supplementation intervention. Forty healthy, physically active men were exposed to a 12-week eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) supplementation and standardized endurance training protocol. Blood samples were collected before and after the intervention and mRNA levels of six potential reference genes were tested in the leukocytes of 18 eligible participants using the qRT-PCR method: GAPDH (Glyceraldehyde-3-phosphate dehydrogenase), ACTB (Beta actin), TUBB (Tubulin Beta Class I), RPS18 (Ribosomal Protein S18), UBE2D2 (Ubiquitin-conjugating enzyme E2 D2), and HPRT1 (Hypoxanthine Phosphoribosyltransferase 1). The raw quantification cycle (Cq) values were then analyzed using RefFinder, an online tool that incorporates four different algorithms: NormFinder, geNorm, BestKeeper, and the comparative delta-Ct method. Delta-Ct, NormFinder, BestKeeper, and RefFinder comprehensive ranking have found GAPDH to be the most stably expressed gene. geNorm has identified TUBB and HPRT as the most stable genes. All algorithms have found ACTB to be the least stably expressed gene. A combination of the three most stably expressed genes, namely GAPDH, TUBB, and HPRT, is suggested for obtaining the most reliable results.

Quantitative evaluation of endogenous reference genes for ddPCR under salt stress using a moderate halophile.

Droplet digital PCR (ddPCR) is being increasingly adopted for gene detection and quantification because of its higher sensitivity and specificity. According to previous observations and our laboratory data, it is essential to use endogenous reference genes (RGs) when investigating gene expression at the mRNA level under salt stress. This study aimed to select and validate suitable RGs for gene expression under salt stress using ddPCR. Six candidate RGs were selected based on the tandem mass tag (TMT)-labeled quantitative proteomics of Alkalicoccus halolimnae at four salinities. The expression stability of these candidate genes was evaluated using statistical algorithms (geNorm, NormFinder, BestKeeper and RefFinder). There was a small fluctuation in the cycle threshold (Ct) value and copy number of the pdp gene. Its expression stability was ranked in the vanguard of all algorithms and was the most suitable RG for quantification of expression by both qPCR and ddPCR of A. halolimnae under salt stress. Single RG pdp and RG combinations were used to normalize the expression of ectA, ectB, ectC and ectD under four salinities. The present study constitutes the first systematic analysis of endogenous RG selection for halophiles responding to salt stress. This work provides a valuable theory and an approach reference of internal control identification for ddPCR-based stress response models.

Estimating the intra-puparial period of Hydrotaea spinigera (Stein,1910) (Diptera: Muscidae) with morphological and gene expression changes

Hydrotaea spinigera (Stein, 1910) (Diptera: Muscidae) is a forensically important sarcosaprophagous species widely distributed throughout the Oriental and Australasian regions. At the advanced decomposition stage or the skeletonize stage, the immature stages of H. spinigera, especially the pupae, can still be found in large quantities and could be used as important indicators to estimate the minimum postmortem interval (PMImin). However, there have been no studies on the intra-puparial period of this species. Herein, we studied morphological and differential gene expression changes during the intra-puparial development of H. spinigera, aiming to accurately estimate the intra-puparial age of H. spinigera. The intra-puparial morphological changes of H. spinigera were observed at seven constant temperatures ranging from 16 °C to 34 °C and divided into 12 sub-stages. Structures that could be used to estimate the intra-puparial age, such as compound eyes, mouthparts, antennae, thorax, legs, wings, and abdomen, were observed in detail, and the developmental process of each structure was divided into 5 to 10 stages. The time range of each sub-stage, or when a structure appeared, was recorded. For the gene expression section, the most suitable reference genes were screened by geNorm, NormFinder, BestKeeper, and ΔCt methods. Based on the selected reference genes, real-time quantitative PCR (RT qPCR) was used to detect the expression changes of the white and hsp90 genes with developmental time at 19 °C, 25 °C, and 31 °C. Results showed that the trend of hsp90 gene expression under different temperatures was not consistent, while white genes exhibited regular changes during development, and could thus be used for age estimation of H. spinigera. This study provides an important basis for forensic entomology to use morphological and differential gene expression for estimating the age of H. spinigera during the intra-puparial period. Moreover, the combination of the two methods can produce a more accurate minimum postmortem interval (PMImin) estimate compared to when each method is used separately.

Comprehensive Identification of Reliable Reference Genes for qRT-PCR Normalization of Fusarium oxysporum-Resistant Genes’ Expressions in Lilium sargentiae Wilson

Fusarium wilt (caused by Fusarium oxysporum f. sp. Lilii) is one of the most damaging diseases in lily (Lilium sargentiae Wilson). Although some F. oxysporum-resistant lily varieties have been identified and are being utilized in resistant breeding, the regulation network of the resistance-associated mechanisms is yet to be studied due to the lack of reliable reference genes for qRT-PCR (quantitative reverse transcription PCR) normalization. The reliability of results by qRT-PCR relies mainly on the stability of the reference genes. This study investigated the reliability of nine candidate reference genes (CYP, EF1-α, GAPDH, TUB, UBQ, AQP, HIS, PGK, and RPL13) for qRT-PCR analysis of F. oxysporum-resistant genes. Expression stability analysis via common programs GeNorm, BestKeeper, and NormFinder, at different time points post-inoculation of F. oxysporum, revealed that all nine genes met the basic requirements of reference genes. Amongst them, HIS and GAPDH displayed the highest and the lowest expression stability, respectively. The reliability of HIS was further validated by analyzing the expression levels of four resistance-related candidate genes. The expression patterns of the four target genes were consistent with their responses to pathogenetic fungi in other plants. Our results show that HIS is the most suitable reference gene for accurately normalizing F. oxysporum-resistant genes’ expressions in L. sargentiae.