Evaluation and validation of housekeeping genes in two contrast species of thyme plant to drought stress using real-time PCR

Transcriptome-Based Identification of the Optimal Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Analyses of Lingonberry Fruits throughout the Growth Cycle

(1) Background: Vaccinium vitis-idaea is a nutritionally and economically valuable natural wild plant species that produces berries useful for treating various diseases. There is growing interest in lingonberry, but there is limited information regarding lingonberry reference genes suitable for gene expression analyses of different tissues under various abiotic stress conditions. The objective of this study was to identify stable reference genes suitable for different lingonberry tissues in response to abiotic stress. (2) Methods: The delta Ct method and the GeNorm v3.5 and NormFinder v20 programs were used to comprehensively analyze gene expression stability. (3) Results: Actin Unigene23839 was the best reference gene for analyzing different cultivars, whereas Actin CL5740.Contig2 was the most suitable reference gene for analyzing different tissues and alkali stress. In contrast, 18S rRNA CL5051.Contig1 was the most stable reference gene under drought conditions. (4) Conclusions: These suitable reference genes may be used in future qRT-PCR analyses of different lingonberry tissues and the effects of abiotic stresses. Furthermore, the study data may be useful for functional genomics studies and the molecular breeding of lingonberry. In summary, internal reference genes or internal reference gene combinations should be carefully selected according to the experimental conditions to ensure that the generated gene expression data are accurate.

Systematic Identification of Suitable Reference Genes for Quantitative Real-Time PCR Analysis in Melissa officinalis L

Melissa officinalis L. is well known for its lemon-scented aroma and various pharmacological properties. Despite these valuable properties, the genes involved in the biosynthetic pathways in M. officinalis are not yet well-explored when compared to other members of the mint family. For that, gene expression studies using quantitative real-time PCR (qRT-PCR) are an excellent tool. Although qRT-PCR can provide accurate results, its accuracy is highly reliant on the expression and stability of the reference gene used for normalization. Hence, selecting a suitable experiment-specific reference gene is very crucial to obtain accurate results. However, to date, there are no reports for experiment-specific reference genes in M. officinalis. Therefore, in the current study, ten commonly used reference genes were assessed for their suitability as optimal reference genes in M. officinalis under various abiotic stress conditions and different plant organs. The candidate genes were ranked based on BestKeeper, comparative ΔCt, geNorm, NormFinder, and RefFinder. Based on the results, we recommend the combination of EF-1α and GAPDH as the best reference genes to normalize gene expression studies in M. officinalis. On the contrary, HLH71 was identified as the least-performing gene. Thereafter, the reliability of the optimal gene combination was assessed by evaluating the relative gene expression of the phenylalanine ammonia lyase (PAL) gene under two elicitor treatments (gibberellic acid and jasmonic acid). PAL is a crucial gene involved directly or indirectly in the production of various economically important secondary metabolites in plants. Suitable reference genes for each experimental condition are also discussed. The findings of the current study form a basis for current and future gene expression studies in M. officinalis and other related species.

Selection and Validation of the Most Suitable Reference Genes for Quantitative Real-Time PCR Normalization in Salvia rosmarinus under In Vitro Conditions

Salvia rosmarinus L. (rosemary) is known to have a wide range of pharmacological effects including antidiabetic, anticarcinogenic, and antitumorigenic properties owing to its secondary metabolites. Studies aiming to elevate these metabolites have utilized various elicitors and stresses under in vitro conditions, although underlying molecular mechanisms remain unexplored. Gene expression studies using RT-qPCR might provide valuable information regarding how plant and plant cells interact and perceive various treatments and elicitors. However, despite being able to calculate accurate fold changes, the accuracy of the RT-qPCR data highly depends on the expression of reference genes. To the best of our knowledge, there is no information available on the stable reference genes in rosemary under in vitro conditions. Thus, in this paper, we assessed the stability of seven commonly used reference genes under different elicitor and stress conditions using RT-qPCR. Thereafter, the five most commonly used software and algorithms (comparative ΔCt, BestKeeper, NormFinder, geNorm, and RefFinder) were used to rank the candidates based on their expression stabilities. In conclusion, we recommend using a combination of F1-ATPase, ATP synthase and ACCase to normalize the gene expression experiments in rosemary under in vitro conditions. The selected reference genes were verified using 4-coumarate-CoA ligase, a pharmacologically important gene, whose expression might alter under nanoparticle treatment. Additionally, reference genes for several plant tissues, elicitors, and stresses are also proposed. The conclusions obtained from this current study will accelerate the future molecular work in S. rosmarinus and other related species.

Gene expression analysis for selection and validation of suitable housekeeping gene(s) in cadmium exposed pigeonpea plants inoculated with arbuscular mycorrhizae

The expression stability of six commonly used housekeeping genes (18S rRNA-18S ribosomal RNA, EF1α-elongation factor 1α, ACT1-Actin 1, GAPDH-Glyceraldehyde-3-phosphate dehydrogenase, TUB6-Tubulin/FtsZ family and UBC-Ubiquitin-conjugating enzyme) were scrutinized in leaves and roots of Cd stressed pigeonpea plants inoculated with arbuscular mycorrhizal (AM) species- Rhizoglomus intraradices (Ri), Funneliformis mosseae (Fm), Claroideoglomus etunicatum (Ce), C. claroideum (Cc). The stability profile of each gene was assessed using ΔC_t, BestKeeper, NormFinder, RefFinder and geNorm algorithmic programs, which ranked different genes as most and least stable according to the tissues analysed. All the statistical algorithms ranked TUB6 as most stable and EF1α least stable housekeeping (HK) genes in both the plant tissues. The selected HK genes were verified using metallothionein (CcMT1) i.e. a stress responsive gene, whose expression altered under conditions of metal stress and AM inoculation. The expression pattern of CcMT1 varied highly when least stable reference gene was used for normalization as compared to most stable gene, under different treatments. Thus, there is a need of selecting suitable reference gene to achieve reliable results in gene expression studies using quantitative real time PCR (qRT-PCR). The study conducted will help future gene expression analysis in pigeonpea under specific stress.

Selection of reference genes for RT-qPCR normalization in blueberry (Vaccinium corymbosum × angustifolium) under various abiotic stresses

As a small fruit rich in anthocyanins, blueberry (Vaccinium corymbosum × angustifolium) has become a focus of research in recent years for identifying genes related to anthocyanin transport and stress resistance mechanisms based on transcriptome sequencing. However, the lack of validated, stably expressed reference genes greatly limits the functional study of blueberry genes. Therefore, in this study, we selected 14 candidate reference genes from a blueberry transcriptome database and used three algorithms (geNorm, NormFinder and BestKeeper) to evaluate the expression stability of these genes in various organs at different fruit developmental stages under five abiotic stress conditions. EF1α, EIF and TBP were observed to be the most stable and were thus chosen as reference genes for quantitative real-time PCR. Measurement of the relative expression of VcMATE1 (European Nucleotide Archive accession number KF875433) in blueberry further verified the reliability of these reference genes, which may have great utility for determining the accuracy of gene expression analyses in future research on blueberry.