scholarly journals Selection and Validation of Appropriate Reference Genes for Quantitative Real-Time PCR Analysis of Gene Expression in Lycoris aurea

2016 ◽  
Vol 7 ◽  
Author(s):  
Rui Ma ◽  
Sheng Xu ◽  
Yucheng Zhao ◽  
Bing Xia ◽  
Ren Wang
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Real Time Pcr ◽  
Reference Genes ◽  
Pcr Analysis ◽  
Quantitative Real Time Pcr ◽  
Lycoris Aurea

Evaluation of reference genes for quantitative real-time PCR analysis of gene expression in Hainan medaka (Oryzias curvinotus)

Gene Reports ◽  
2019 ◽  
Vol 14 ◽  
pp. 94-99 ◽  
Author(s):  
Zhongdian Dong ◽  
Pushun Chen ◽  
Ning Zhang ◽  
Shunkai Huang ◽  
Hairui Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Real Time Pcr ◽  
Reference Genes ◽  
Pcr Analysis ◽  
Quantitative Real Time Pcr ◽  
Oryzias Curvinotus

scholarly journals Selection and validation of reference genes for measuring gene expression in Toona ciliata under different experimental conditions by quantitative real-time PCR analysis

2020 ◽  
Author(s):  
Huiyun Song ◽  
Wenmai Mao ◽  
Zhihao Duan ◽  
Qingmin Que ◽  
Wei Zhou ◽  
...  
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Reference Gene ◽  
Real Time Pcr ◽  
Reference Genes ◽  
Accurate Method ◽  
Pcr Analysis ◽  
Quantitative Real Time Pcr ◽  
Experimental Conditions ◽  
Toona Ciliata

Abstract Background:Before studying gene expression of different organisms, it is important to determine the best reference gene. At present, the most accurate method of detecting gene expression is quantitative real-time PCR (RT-qPCR). With this method, reference genes that are stable in different biological systems and under different conditions can be obtained. Toona ciliata Roem ( T. ciliata ). is a valuable and fast-growing timber specie. In this study, 20 reference genes were identified using RT-qPCR, as a primary prerequisite for future gene expression analysis. Four different methods, geNorm, NormFinder, BestKeeper, and RankAggreg were used to evaluate the expression stability of the 20 candidate reference genes in various tissues under different conditions.Results:The experimental results showed that TUB-α was the most stably expressed reference gene across all samples and UBC17 was the most stable in leaves and young stems under Hypsipyla robusta ( H. robusta ) and methyl jasmonate (MeJA) treatments. In addition, PP2C59 and UBC5B were the best-performing genes in leaves under H. robusta treatment, while HIS1 and ACT7 were the best reference genes in young stems. The two best reference genes were 60S-18 and TUB-α after treatment at 4 °C. The expression of HIS6 and MUB1 was the most stable under PEG6000 treatment. The accuracy of the selected reference genes was verified using the transcription factor MYB3 ( TcMYB3) gene.Conclusions:This is the first report to verify the best reference genes for normalizing gene expression in T. ciliata under different conditions, which will facilitate future elucidation of gene regulations in this species.

scholarly journals Selection and validation of reference genes for measuring gene expression in Toona ciliata under different experimental conditions by quantitative real-time PCR analysis

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Huiyun Song ◽  
Wenmai Mao ◽  
Zhihao Duan ◽  
Qingmin Que ◽  
Wei Zhou ◽  
...  
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Reference Gene ◽  
Real Time Pcr ◽  
Reference Genes ◽  
Accurate Method ◽  
Pcr Analysis ◽  
Quantitative Real Time Pcr ◽  
Experimental Conditions ◽  
Toona Ciliata

Abstract Background Before studying gene expression of different organisms, it is important to determine the best reference gene. At present, the most accurate method of detecting gene expression is quantitative real-time PCR (RT-qPCR). With this method, reference genes that are stable in different biological systems and under different conditions can be obtained. Toona ciliata Roem (T. ciliata). is a valuable and fast-growing timber specie. In this study, 20 reference genes were identified using RT-qPCR, as a primary prerequisite for future gene expression analysis. Four different methods, geNorm, NormFinder, BestKeeper, and RankAggreg were used to evaluate the expression stability of the 20 candidate reference genes in various tissues under different conditions. Results The experimental results showed that TUB-α was the most stably expressed reference gene across all samples and UBC17 was the most stable in leaves and young stems under Hypsipyla robusta (H. robusta) and methyl jasmonate (MeJA) treatments. In addition, PP2C59 and UBC5B were the best-performing genes in leaves under H. robusta treatment, while HIS1 and ACT7 were the best reference genes in young stems. The two best reference genes were 60S-18 and TUB-α after treatment at 4 °C. The expression of HIS6 and MUB1 was the most stable under PEG6000 treatment. The accuracy of the selected reference genes was verified using the transcription factor MYB3 (TcMYB3) gene. Conclusions This is the first report to verify the best reference genes for normalizing gene expression in T. ciliata under different conditions, which will facilitate future elucidation of gene regulations in this species.

scholarly journals Selection and validation of reference genes for measuring gene expression in Toona ciliata under different experimental conditions by quantitative real-time PCR analysis

2020 ◽  
Author(s):  
Huiyun song ◽  
Wenmai Mao ◽  
Zhihao Duan ◽  
Qingmin Que ◽  
Wei Zhou ◽  
...  
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Reference Gene ◽  
Real Time Pcr ◽  
Reference Genes ◽  
Accurate Method ◽  
Pcr Analysis ◽  
Quantitative Real Time Pcr ◽  
Experimental Conditions ◽  
Toona Ciliata

Abstract Background: Before studying gene expression of different organisms, it is important to determine the best reference gene. At present, the most accurate method of detecting gene expression is quantitative real-time PCR (RT-qPCR). With this method, reference genes that are stable in different biological systems and under different conditions can be obtained. Toona ciliata Roem (T. ciliata). is a valuable and fast-growing timber specie. In this study, 20 reference genes were identified using RT-qPCR, as a primary prerequisite for future gene expression analysis. Four different methods, geNorm, NormFinder, BestKeeper, and RankAggreg were used to evaluate the expression stability of the 20 candidate reference genes in various tissues under different conditions. Results: The experimental results showed that TUB-α was the most stably expressed reference gene across all samples and UBC17 was the most stable in leaves and young stems under Hypsipyla robusta (H. robusta) and methyl jasmonate (MeJA) treatments. In addition, PP2C59 and UBC5B were the best-performing genes in leaves under H. robusta treatment, while HIS1 and ACT7 were the best reference genes in young stems. The two best reference genes were 60S-18 and TUB-α after treatment at 4 °C. The expression of HIS6 and MUB1 was the most stable under PEG6000 treatment. The accuracy of the selected reference genes was verified using the transcription factor MYB3 (TcMYB3) gene. Conclusions: This is the first report to verify the best reference genes for normalizing gene expression in T. ciliata under different conditions, which will facilitate future elucidation of gene regulations in this species.

Reference Genes for Quantitative Real-Time PCR Analysis of Gene Expression in Mung Bean under Abiotic Stress and Cercospora canescens Infection

2020 ◽  
Author(s):  
X. W. Ke ◽  
L. H. Yin ◽  
J. Xu ◽  
W. N. Sun ◽  
X. D. Xu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Real Time Pcr ◽  
Reference Genes ◽  
Mung Bean ◽  
Expression Profiles ◽  
Pcr Analysis ◽  
Saline Stress ◽  
Stable Gene ◽  
Quantitative Real Time Pcr

The objective of the study was to identify suitable reference genes that can be used for quantitative real-time PCR (qPCR) analysis in mung bean (Vigna radiata). Therefore, 10 potential reference genes were selected and the results showed that ubiquitin-conjugating enzyme was suitable as reference under drought and pathogen infection stress; elongation factor 1-á was the most stable gene under waterlogging; and actin performed the best under saline stress. These selected reference genes were further confirmed by analysis of the expression profiles of catalase and peroxidase under waterlogging. Our results will contribute to the improvement of the accuracy of gene expression evaluation in mung bean.

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