scholarly journals Comparison of Reliable Reference Genes Following Different Hormone Treatments by Various Algorithms for qRT-PCR Analysis of Metasequoia

2018 ◽  
Vol 20 (1) ◽  
pp. 34 ◽  
Author(s):  
Jing-Jing Wang ◽  
Shuo Han ◽  
Weilun Yin ◽  
Xinli Xia ◽  
Chao Liu
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Elongation Factor ◽  
Pcr Analysis ◽  
Qrt Pcr ◽  
Gene Normalization ◽  
Accurate Normalization ◽  
Suitable Reference ◽  
Different Tissues ◽  
Gene Expression Levels

Quantitative reverse transcription polymerase chain reaction (qRT-PCR) is the most sensitive technique for evaluating gene expression levels. Choosing appropriate reference genes for normalizing target gene expression is important for verifying expression changes. Metasequoia is a high-quality and economically important wood species. However, few systematic studies have examined reference genes in Metasequoia. Here, the expression stability of 14 candidate reference genes in different tissues and following different hormone treatments were analyzed using six algorithms. Candidate reference genes were used to normalize the expression pattern of FLOWERING LOCUS T and pyrabactin resistance-like 8. Analysis using the GrayNorm algorithm showed that ACT2 (Actin 2), HIS (histone superfamily protein H3) and TATA (TATA binding protein) were stably expressed in different tissues. ACT2, EF1α (elongation factor-1 alpha) and HIS were optimal for leaves treated with the flowering induction hormone solution, while Cpn60β (60-kDa chaperonin β-subunit), GAPDH (glyceraldehyde-3-phosphate dehydrogenase) and HIS were the best reference genes for treated buds. EF1α, HIS and TATA were useful reference genes for accurate normalization in abscisic acid-response signaling. Our results emphasize the importance of validating reference genes for qRT-PCR analysis in Metasequoia. To avoid errors, suitable reference genes should be used for different tissues and hormone treatments to increase normalization accuracy. Our study provides a foundation for reference gene normalization when analyzing gene expression in Metasequoia.

scholarly journals Selection of Reference Genes for qRT-PCR in Bletilla striata under Heat Stress

2021 ◽  
Vol 25 (03) ◽  
pp. 547-554
Author(s):  
Fang Liang
Keyword(s):  
Internal Control ◽  
Reference Genes ◽  
Elongation Factor ◽  
Pcr Analysis ◽  
Bletilla Striata ◽  
Traditional Chinese Herbal Medicine ◽  
Qrt Pcr ◽  
Wide Range ◽  
Root Tuber ◽  
Different Tissues

Bletilla striata (Thunb.) Reihb.f., a traditional Chinese herbal medicine, has attracted increasing attention because of its wide range of applicability to the medical field and chemical industry. B. striata has been identified to be particularly sensitive to high temperatures. Thus, the study of temperature stress on gene transcription is of interest in the field. Use of reliable reference genes is essential for qRT-PCR analysis of genes. However, little information regarding suitable reference genes for the genus Bletilla has been published. In this study, the sequences of seven potential reference genes in B. striata were obtained via a homology cloning strategy. These genes were as follows: glyceraldehydes-3-phosphate dehydrogenase (GAPDH), 18S ribosomal RNA (18S), elongation factor 1 alpha (EF1α), α-tubulin (TUA), β-tubulin (TUB), ubiquitin (UBI), and NAC domain protein (NAC). We then evaluated the stability levels of these transcripts in different tissues (root, tuber, and leaf) exposed to high temperature using three conventional software and comprehensive RefFinder algorithms. The results indicated that 18S and TUB were the best internal control genes among different periods of heat treatment and that a combination of 18S and UBI was the best in different tissues. Altogether, 18S and UBI were identified to be the best reference genes for all the samples, while NAC and TUA were the least stable reference genes. The results will be useful for studies on target gene expression in plants of the Bletilla genus. © 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers © 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers© 2021 Friends Science Publishers©

scholarly journals Reference genes for qRT-PCR normalisation in different tissues, developmental stages, and stress conditions of Hypericum perforatum

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7133 ◽  
Author(s):  
Wen Zhou ◽  
Shiqiang Wang ◽  
Lei Yang ◽  
Yan Sun ◽  
Qian Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Candidate Genes ◽  
Reference Genes ◽  
Hypericum Perforatum ◽  
Developmental Stages ◽  
Pcr Analysis ◽  
Potential Candidate ◽  
Qrt Pcr ◽  
Expression Studies ◽  
Different Tissues

Hypericum perforatum L. is a widely known medicinal herb used mostly as a remedy for depression because it contains high levels of naphthodianthrones, phloroglucinols, alkaloids, and some other secondary metabolites. Quantitative real-time PCR (qRT-PCR) is an optimized method for the efficient and reliable quantification of gene expression studies. In general, reference genes are used in qRT-PCR analysis because of their known or suspected housekeeping roles. However, their expression level cannot be assumed to remain stable under all possible experimental conditions. Thus, the identification of high quality reference genes is essential for the interpretation of qRT-PCR data. In this study, we investigated the expression of 14 candidate genes, including nine housekeeping genes (HKGs) (ACT2, ACT3, ACT7, CYP1, EF1-α, GAPDH, TUB-α, TUB-β, and UBC2) and five potential candidate genes (GSA, PKS1, PP2A, RPL13, and SAND). Three programs—GeNorm, NormFinder, and BestKeeper—were applied to evaluate the gene expression stability across four different plant tissues, four developmental stages and a set of abiotic stress and hormonal treatments. Integrating all of the algorithms and evaluations revealed that ACT2 and TUB-β were the most stable combination in different developmental stages samples and all of the experimental samples. ACT2, TUB-β, and EF1-α were identified as the three most applicable reference genes in different tissues and stress-treated samples. The majority of the conventional HKGs performed better than the potential reference genes. The obtained results will aid in improving the credibility of the standardization and quantification of transcription levels in future expression studies on H. perforatum.

scholarly journals Reference gene selection for qRT-PCR analyses of luffa (Luffa cylindrica) plants under abiotic stress conditions

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Min-dong Chen ◽  
Bin Wang ◽  
Yong-ping Li ◽  
Mei-juan Zeng ◽  
Jian-ting Liu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Reference Gene ◽  
Reference Genes ◽  
Gene Selection ◽  
Expression Patterns ◽  
Suitable Reference Gene ◽  
Expression Levels ◽  
Qrt Pcr ◽  
Suitable Reference ◽  
Gene Expression Levels

AbstractSelecting suitable internal reference genes is an important prerequisite for the application of quantitative real-time PCR (qRT-PCR). However, no systematic studies have been conducted on reference genes in luffa. In this study, seven reference genes were selected, and their expression levels in luffa plants exposed to various simulated abiotic stresses [i.e., cold, drought, heat, salt, H2O2, and abscisic acid (ABA) treatments] were analyzed by qRT-PCR. The stability of the reference gene expression levels was validated using the geNorm, NormFinder, BestKeeper, and RefFinder algorithms. The results indicated that EF-1α was the most stably expressed and suitable reference gene overall and for the heat, cold, and ABA treatments. Additionally, UBQ expression was stable following the salt treatment, whereas TUB was identified as a suitable reference gene for H2O2 and drought treatments. The reliability of the selected reference genes was verified by analyzing the expression of copper/zinc superoxide dismutase (Cu/Zn-SOD) gene in luffa. When the most unstable reference genes were used for data normalizations, the resulting expression patterns had obvious biases when compared with the expression patterns for the most ideal reference genes used alone or combined. These results will be conducive to more accurate quantification of gene expression levels in luffa.

scholarly journals Identification of Suitable Reference Genes for Gene Expression Normalization in qRT-PCR Analysis in Watermelon

PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e90612 ◽  
Author(s):  
Qiusheng Kong ◽  
Jingxian Yuan ◽  
Lingyun Gao ◽  
Shuang Zhao ◽  
Wei Jiang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Pcr Analysis ◽  
Qrt Pcr ◽  
Suitable Reference

scholarly journals Selection and Validation of Appropriate Reference Genes for Quantitative RT-PCR Analysis in Rubia yunnanensis Diels Based on Transcriptome Data

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Shanyong Yi ◽  
Qianwen Lin ◽  
Xuejia Zhang ◽  
Jing Wang ◽  
Yuanyuan Miao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Quantitative Polymerase Chain Reaction ◽  
Elongation Factor ◽  
High Sensitivity ◽  
Pcr Analysis ◽  
Biosynthesis Pathway ◽  
Transcriptome Data ◽  
Coa Ligase ◽  
Different Tissues

Real-time quantitative polymerase chain reaction (RT-qPCR) has been widely applied in gene expression and transcription abundance analysis because of its high sensitivity, good repeatability, and strong specificity. Selection of relatively stable reference genes is a precondition in order to obtain the reliable analysis results. However, little is known about evaluation of a set of reference genes through scientific experiments in Rubia plants. Here, 15 candidate reference genes were selected from R. yunnanensis transcriptome database and analyzed under abiotic stresses, hormone treatments, and different tissues. Among these 15 candidate reference genes, heterogeneous nuclear ribonucleoprotein (hnRNP), TATA binding protein (TBP), ribosomal protein L5 (RPL5), malate dehydrogenase (MDH), and elongation factor 1-alpha (EF-1α) were indicated as the five most stable reference genes by four statistical programs (geNorm, NormFinder, BestKeeper, and RefFinder). Ultimately, the validity of reference genes was confirmed by normalizing the expression of o-succinylbenzoate-CoA ligase (OSBL) and isochorismate synthase (ICS) involved in the anthraquinone biosynthesis pathway in different tissues and hormone treatments. Meanwhile, four other putative genes involved in the anthraquinone biosynthesis pathway were also normalized with the selected reference genes, which showed similar expression levels with those given by transcriptome data. This work is the first research that aims at a systematic validation on the stability of reference genes selected from R. yunnanensis transcriptome data and will be conducive to analyze gene expression in R. yunnanensis or other Rubia species.

scholarly journals Selection of reference genes for gene expression analysis in Liriodendron hybrids’ somatic embryogenesis and germinative tissues

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tingting Li ◽  
Weigao Yuan ◽  
Shuai Qiu ◽  
Jisen Shi
Keyword(s):  
Gene Expression ◽  
Somatic Embryogenesis ◽  
Reference Genes ◽  
Gene Selection ◽  
Elongation Factor ◽  
Reverse Transcription Pcr ◽  
Expression Of Genes ◽  
Suitable Reference ◽  
Functional Analyses ◽  
Elongation Factor 1

AbstractThe differential expression of genes is crucial for plant somatic embryogenesis (SE), and the accurate quantification of gene expression levels relies on choosing appropriate reference genes. To select the most suitable reference genes for SE studies, 10 commonly used reference genes were examined in synchronized somatic embryogenic and subsequent germinative cultures of Liriodendron hybrids by using quantitative real-time reverse transcription PCR. Four popular normalization algorithms: geNorm, NormFinder, Bestkeeper and Delta-Ct were used to select and validate the suitable reference genes. The results showed that elongation factor 1-gamma, histone H1 linker protein, glyceraldehyde-3-phosphate dehydrogenase and α-tubulin were suitable for SE tissues, while elongation factor 1-gamma and actin were best for the germinative organ tissues. Our work will benefit future studies of gene expression and functional analyses of SE in Liriodendron hybrids. It is also serves as a guide of reference gene selection in early embryonic gene expression analyses for other woody plant species.

scholarly journals Identification and selection of reference genes for gene expression analysis by quantitative real-time PCR in Suaeda glauca’s response to salinity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Meng Wang ◽  
Tingting Ren ◽  
Prince Marowa ◽  
Haina Du ◽  
Zongchang Xu
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Reference Gene ◽  
Reference Genes ◽  
Suitable Reference Gene ◽  
Normalize Gene Expression ◽  
Suaeda Glauca ◽  
Suitable Reference ◽  
Germinating Seeds ◽  
Different Tissues

AbstractQuantitative real-time polymerase chain reaction (qPCR) using a stable reference gene is widely used for gene expression research. Suaeda glauca L. is a succulent halophyte and medicinal plant that is extensively used for phytoremediation and extraction of medicinal compounds. It thrives under high-salt conditions, which promote the accumulation of high-value secondary metabolites. However, a suitable reference gene has not been identified for gene expression standardization in S. glauca under saline conditions. Here, 10 candidate reference genes, ACT7, ACT11, CCD1, TUA5, UPL1, PP2A, DREB1D, V-H+-ATPase, MPK6, and PHT4;5, were selected from S. glauca transcriptome data. Five statistical algorithms (ΔCq, geNorm, NormFinder, BestKeeper, and RefFinder) were applied to determine the expression stabilities of these genes in 72 samples at different salt concentrations in different tissues. PP2A and TUA5 were the most stable reference genes in different tissues and salt treatments, whereas DREB1D was the least stable. The two reference genes were sufficient to normalize gene expression across all sample sets. The suitability of identified reference genes was validated with MYB and AP2 in germinating seeds of S. glauca exposed to different NaCl concentrations. Our study provides a foundational framework for standardizing qPCR analyses, enabling accurate gene expression profiling in S. glauca.

scholarly journals Tissue-specific evaluation of suitable reference genes for RT-qPCR in the pond snail, Lymnaea stagnalis

2019 ◽  
Author(s):  
Alexander P Young ◽  
Carmen F Landry ◽  
Daniel J Jackson ◽  
Russell C Wyeth
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Lymnaea Stagnalis ◽  
Elongation Factor ◽  
Pond Snail ◽  
Tissue Samples ◽  
Systematic Assessment ◽  
Wide Range ◽  
The Stability ◽  
Suitable Reference

Reverse transcription quantitative PCR (RT-qPCR) is a robust technique for the quantification and comparison of gene expression across multiple tissues. To obtain reliable results, one or more reference genes must be employed to normalize expression measurements among treatments or tissue samples. Candidate reference genes must be validated to ensure that they are stable prior to use in qPCR experiments. The pond snail (Lymnaea stagnalis) is a common research organism, particularly in the areas of learning and memory, and is an emerging target for qPCR experimentation. However, no systematic assessment of reference genes has been performed in this animal. Therefore, the aim of our research was to identify stable reference genes to normalize gene expression data from a variety of tissues in L. stagnalis. We evaluated a panel of seven reference genes across six different tissues in L. stagnalis with RT-qPCR. The genes included: elongation factor 1-alpha (EF1α), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), beta-actin (ACTB), beta-tubulin (TUBB), ubiquitin (UBI), prenylated rab acceptor protein 1 (Rapac1), and a voltage gated potassium channel (VGKC). These genes exhibited a wide range of expression levels among tissues. The stability of each of the genes was consistent when measured by any of the standard stability assessment algorithms: geNorm, NormFinder, BestKeeper and RefFinder. Our data indicate that GAPDH and EF1α are highly stable in the tissues that we examined (central nervous system, tentacles, lips, penis, foot, mantle) as well as in pooled analyses. We do not recommend VGKC for use in RT-qPCR experiments due to its relatively low expression stability. Our results were generally congruent with those obtained from similar studies in other molluscs. Given that a minimum of two reference genes are recommended for data normalization, we suggest GAPDH and EF1α are a strong option for multi-tissue analyses of RT-qPCR data in Lymnaea stagnalis.

scholarly journals Selection of Reference Genes for qRT-PCR Analysis of Gene Expression in Stipa grandis during Environmental Stresses

PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0169465 ◽  
Author(s):  
Dongli Wan ◽  
Yongqing Wan ◽  
Qi Yang ◽  
Bo Zou ◽  
Weibo Ren ◽  
...  
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Environmental Stresses ◽  
Pcr Analysis ◽  
Qrt Pcr ◽  
Selection Of

scholarly journals Identification of Suitable Reference Genes for gene Expression Studies by qRT-PCR in the Blister BeetleMylabris cichorii

2014 ◽  
Vol 14 (94) ◽  
pp. 1-10 ◽  
Author(s):  
Yu Wang ◽  
Zhong-Kang Wang ◽  
Yi Huang ◽  
Yu-Feng Liao ◽  
You-Ping Yin
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Qrt Pcr ◽  
Expression Studies ◽  
Gene Expression Studies ◽  
Suitable Reference
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