Validation of Reference Genes for Accurate Normalization of Gene Expression in Lilium davidii var. unicolor for Real Time Quantitative PCR

Lilium is an important commercial market flower bulb. qRT-PCR is an extremely important technique to track gene expression levels. The requirement of suitable reference genes for normalization has become increasingly significant and exigent. The expression of internal control genes in living organisms varies considerably under different experimental conditions. For economically important Lilium, only a limited number of reference genes applied in qRT-PCR have been reported to date. In this study, the expression stability of 12 candidate genes including α-TUB, β-TUB, ACT, eIF, GAPDH, UBQ, UBC, 18S, 60S, AP4, FP, and RH2, in a diverse set of 29 samples representing different developmental processes, three stress treatments (cold, heat, and salt) and different organs, has been evaluated. For different organs, the combination of ACT, GAPDH, and UBQ is appropriate whereas ACT together with AP4, or ACT along with GAPDH is suitable for normalization of leaves and scales at different developmental stages, respectively. In leaves, scales and roots under stress treatments, FP, ACT and AP4, respectively showed the most stable expression. This study provides a guide for the selection of a reference gene under different experimental conditions, and will benefit future research on more accurate gene expression studies in a wide variety of Lilium genotypes.     

Reference gene selection for real-time quantitative polymerase chain reaction normalization in “Swingle” citrumelo under drought stress

We describe the first systematic evaluation of reference genes for use in real-time quantitative polymerase chain reaction (qPCR) for water deficit stress studies in the citrus rootstock “Swingle” citrumelo. The expression levels of seven reference genes—cyclophilin (CYP), cathepsin (CtP), actin (ACT), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), elongation factor 1α (EF1α), β-tubulin (TUB), and ADP ribosylation factor (ADP)—during drought stress were tested using geNorm and NormFinder programs. Results from four experimental conditions indicated that EF1α and ADP were the most stable reference genes. Relative expression levels of Δ1-pyrroline-5-carboxylate synthetase (P5CS) was used for reference gene validation.     

Selection and validation of suitable reference genes for miRNA expression normalization by quantitative RT-PCR in citrus somatic embryogenic and adult tissues

miRNAs have recently been reported to modulate somatic embryogenesis (SE), a key pathway of plant regeneration in vitro. For expression level detection and subsequent function dissection of miRNAs in certain biological processes, qRT-PCR is one of the most effective and sensitive techniques, for which suitable reference gene selection is a prerequisite. In this study, three miRNAs and eight non-coding RNAs (ncRNA) were selected as reference candidates, and their expression stability was inspected in developing citrus SE tissues cultured at 20, 25, and 30?°C. Stability of the eight non-miRNA ncRNAs was further validated in five adult tissues without temperature treatment. The best single reference gene for SE tissues was snoR14 or snoRD25, while for the adult tissues the best one was U4; although they were not as stable as the optimal multiple references snoR14?+?U6 for SE tissues and snoR14?+?U5 for adult tissues. For expression normalization of less abundant miRNAs in SE tissues, miR3954 was assessed as a viable reference. Single reference gene snoR14 outperformed multiple references for the overall SE and adult tissues. As one of the pioneer systematic studies on reference gene identification for plant miRNA normalization, this study benefits future exploration on miRNA function in citrus and provides valuable information for similar studies in other higher plants. Key message Three miRNAs and eight non-coding RNAs were tested as reference candidates on developing citrus SE tissues. Best single references snoR14 or snoRD25 and optimal multiple references snoR14?+?U6, snoR14?+?U5 were identified.     

Identification and expression analysis of miRNAs in germination and seedling growth of Tibetan hulless barley

Germination and seedling growth are crucial for plant development and agricultural production. While, the regulatory mechanisms during these processes in Tibetan hulless barley (Hordeum vulgare L. var. nudum) are not well understood. Given the regulatory roles of microRNAs (miRNAs) in crop plants and the irreplaceability of barley in the highland area of China, we herein presented a genome-wide survey of miRNAs to reveal a potential regulatory network in the early developmental stages of two Tibetan hulless barleys, from which a total of 156 miRNAs was identified including 35 known and 121 novel ones. Six of the identified novel miRNAs were further experimentally validated. According to the evolutionary analysis, miR156, miR166, miR168, and miR171 were conserved across Tibetan hulless barleys and eight other seed plants. Expression profiles of ten known miRNAs showed that they were involved in phytohormone signaling, carbohydrate and lipid metabolism, as well as juvenile-adult transition during barley development. Moreover, a total of 1280 genes targeted by 101 miRNAs were predicted from both barley libraries. Three genes (PLN03212, MATE eukaryotic, and GRAS) were validated via the RNA ligase-mediated 5′-rapid amplification of cDNA ends (RLM-5' RACE) to be the targets of hvu-miR159a, hvu-miR166a, and hvu-miR171-3p, respectively. Based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of putative targets, the most abundant pathways were related to “metabolism”.These results revealed that miRNA-target pairs participating in the regulation of multigene expression and the embryonic development of Tibetan hulless barleys were controlled by complex mechanisms involving the concordant expression of different miRNAs and feedback loops among miRNAs as well as their targets. The study provides insight into the regulatory network of barley miRNAs for better understanding of miRNA functions during germination and seedling growth.     

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.     

The use of miRNAs as reference genes for miRNA expression normalization during <Emphasis Type="Italic">Lilium</Emphasis> somatic embryogenesis by real-time reverse transcription PCR analysis

Expression profiling of miRNAs has the ability to reveal the essence of somatic embryogenesis (SE). qRT-PCR is one of the most commonly used techniques for dynamic miRNA detection but requires optimal reference genes for data reliability. This is the first report on reference gene validation for miRNA expression normalization in Lilium (Lilium pumilum DC. Fisch. and Lilium davidii var. unicolor). In this study, seventeen miRNAs together with two snRNAs (U4, U6), one rRNA (5S rRNA) and three protein-coding genes (FP, ACT, GAPDH) were selected as reference candidates, and their expression stability was validated by qRT-PCR among eleven developing SE cultures in two lilies. Four normalization algorithms, including geNorm, BestKeeper, NormFinder and RefFinder, were also used to evaluate the stability of the reference candidates. For Lilium pumilum DC. Fisch., lpu-miR159a was the optimal reference gene during SE, followed by lpu-miR408b, while U6 was the least stable reference candidate. For Lilium davidii var. unicolor, FP presented greater stability than did half of the miRNA candidates, but the best reference gene was lda-miR162, followed by lda-miR159a. Further analysis of the expression level of miR156 and miR529 was used to evaluate the validity of the reference genes in both lilies. In general, miRNAs are superior to common protein-coding genes and snRNAs / rRNAs as reference genes for miRNA expression normalization during Lilium SE, and the most suitable reference miRNA is different between two species in the same Lilium genus. This is a pioneer study using suitable miRNAs as reference genes in Lilium and constitutes a small but essential step for the further exploration of miRNA function in Lilium, thus offering valuable references for other plants.     

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.     

A critique of widely used normalization software tools and an alternative method to identify reliable reference genes in red clover (Trifolium pratense L.)

Determination of appropriate reference genes is crucial to normalization of gene expression data and prevention of biased results in qRT-PCR studies. This study is the first attempt to systematically compare potential reference genes to detect the most constitutively expressed reference genes for accurate normalization in red clover tissues including leaves, stems and roots. To identify the best-suited reference gene(s) for normalization, several statistical algorithms such as geNorm, BestKeeper and NormFinder have been developed. All these algorithms are based on the key assumption that none of the investigated candidate reference genes show systematic variation in their expression profile across the samples being considered. However, this assumption is likely to be violated in practice. The authors therefore suggest a simple and novel stability index based on the analysis of variance model which is free from the assumption made by the algorithms. We assessed the expression stability of eight candidate reference genes including actin (ACT), glyceraldehyde-3-phosphate-dehydrogenase (GADPH), elongation factor-1alpha (EF-1α), translation initiation factor (EIF-4a), ubiquitin-conjugating enzyme E2 (UBC2), polyubiquitin (UBQ10), sand family protein (SAND) and yellow-leaf-specific protein 8 (YLS8). Our results indicated that UBC2 and UBQ10 ranked as the two most stably expressed genes in leaf tissue. UBC2 and YLS8 were defined as optimal control genes for stem tissue. EIF-4a and UBC2 were found to be the most stable reference gene for root tissue. GAPDH and SAND showed relatively low stability in expression study of red clover. When all tested tissues were considered, we observed that YLS8 and UBC2 showed remarkable stability in their expression level across tissues.     

Microarray-based screening of the microRNAs associated with caryopsis development in Oryza sativa

Plant microRNAs modulate diverse developmental processes by regulating expression of their target genes. To explore potential miRNA-guided gene regulation in developing rice (Oryza sativa L.) caryopses, a miRNA microarray was used to identify miRNAs present at the different developmental stages. We found that 27 miRNAs, of which 16 were conserved miRNAs, were present in developing caryopses. High expression levels were detected for miR159, miR167, and miR530 at the morphogenesis stage and for miR169, miR435, and miR528 at the stage of accumulation of metabolites. Next, 26 target genes were predicted for seven of the detected miRNAs and the expression profiles of these miRNAs and their corresponding target genes were examined in developing caryopses. Our results suggest that the miRNAs and their target genes examined at the two distinct stages could contribute to the developmental progress of rice caryopses in concert with phytohormone signalling.     

Genetic framework for flowering-time regulation by ambient temperature-responsive miRNAs in Arabidopsis

Flowering is the primary trait affected by ambient temperature changes. Plant microRNAs (miRNAs) are small non-coding RNAs playing an important regulatory role in plant development. In this study, to elucidate the mechanism of flowering-time regulation by small RNAs, we identified six ambient temperature-responsive miRNAs (miR156, miR163, miR169, miR172, miR398 and miR399) in Arabidopsis via miRNA microarray and northern hybridization analyses. We also determined the expression profile of 120 unique miRNA loci in response to ambient temperature changes by miRNA northern hybridization analysis. The expression of the ambient temperature-responsive miRNAs and their target genes was largely anticorrelated at two different temperatures (16 and 23°C). Interestingly, a lesion in short vegetative phase (SVP), a key regulator within the thermosensory pathway, caused alteration in the expression of miR172 and a subset of its target genes, providing a link between a thermosensory pathway gene and miR172. The miR172-overexpressing plants showed a temperature-independent early flowering phenotype, suggesting that modulation of miR172 expression leads to temperature insensitivity. Taken together, our results suggest a genetic framework for flowering-time regulation by ambient temperature-responsive miRNAs under non-stress temperature conditions.     

Reference gene selection for transcriptional profiling by RT-qPCR in the 28-spotted larger potato ladybird

Henosepilachna vigintioctomaculata is one of the most serious defoliates attacking potatoes. However, studies on functional genes have greatly been limited due to the insufficiency of effective and stable endogenous references to normalize RT-qPCR data. In this report, nine housekeeping genes (RPL4, RPL6, RPL13, RPL32, RPS18, ACT, EF1α, GAPDH and α-TUB) involved in different biological processes were selected. Their expression levels under diverse experimental conditions including developmental stages, tissues, temperatures and host plants were determined using RT-qPCR technology. The tested candidate genes were comprehensively ranked based on five alternative stability analysis methods (Ct value, geNorm, NormFinder, BestKeeper and ReFinder). The results revealed that the optimal internal reference genes varied under different experimental conditions. Any gene pair among the five candidates (RPL4, RPL13, RPL32, RPS18 and EF1α) was a suitable reference gene set under different temperatures and on different host plants. A combination of RPL6 and RPL13 was recommended as the best reference gene set across different developmental stages. A pair of RPS18 and EF1α was ranked as the optimal reference gene combination within different tissues. The most suitable reference genes were RPS18 and RPL13 under four different experimental conditions. Our findings not only establish an accurate and reliable normalization of RT-qPCR data, but also lay a solid foundation for further functional gene researches in H. vigintioctomaculata.