Literature DB >> 33542253

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

Min-Dong Chen1, Bin Wang1, Yong-Ping Li1, Mei-Juan Zeng1, Jian-Ting Liu1, Xin-Ru Ye1, Hai-Sheng Zhu2, Qing-Fang Wen3.   

Abstract

Selecting 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.

Entities:  

Year:  2021        PMID: 33542253     DOI: 10.1038/s41598-021-81524-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  42 in total

1.  Guideline to reference gene selection for quantitative real-time PCR.

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Review 2.  Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems.

Authors:  S A Bustin
Journal:  J Mol Endocrinol       Date:  2002-08       Impact factor: 5.098

Review 3.  Real-time RT-PCR normalisation; strategies and considerations.

Authors:  J Huggett; K Dheda; S Bustin; A Zumla
Journal:  Genes Immun       Date:  2005-06       Impact factor: 2.676

Review 4.  Control selection for RNA quantitation.

Authors:  T Suzuki; P J Higgins; D R Crawford
Journal:  Biotechniques       Date:  2000-08       Impact factor: 1.993

5.  Identification of Optimal Reference Genes for Normalization of RT-qPCR Data in Cancerous and Non-Cancerous Tissues of Human Uterine Cervix.

Authors:  Shing Cheng Tan; Mohd Pazudin Ismail; Daniel Roza Duski; Nor Hayati Othman; Venkata Murali Krishna Bhavaraju; Ravindran Ankathil
Journal:  Cancer Invest       Date:  2017-02-17       Impact factor: 2.176

6.  Selection of Stable Reference Genes for Real-Time Quantitative PCR Analysis in Edwardsiella tarda.

Authors:  Zhongyang Sun; Jia Deng; Haizhen Wu; Qiyao Wang; Yuanxing Zhang
Journal:  J Microbiol Biotechnol       Date:  2017-01-28       Impact factor: 2.351

7.  Validation and Comparison of Reference Genes for qPCR Normalization of Celery (Apium graveolens) at Different Development Stages.

Authors:  Meng-Yao Li; Feng Wang; Qian Jiang; Guan-Long Wang; Chang Tian; Ai-Sheng Xiong
Journal:  Front Plant Sci       Date:  2016-03-17       Impact factor: 5.753

8.  Selection and validation of reference genes for quantitative gene expression studies by real-time PCR in eggplant (Solanum melongena L).

Authors:  Nagavara Prasad Gantasala; Pradeep Kumar Papolu; Prasoon Kumar Thakur; Divya Kamaraju; Rohini Sreevathsa; Uma Rao
Journal:  BMC Res Notes       Date:  2013-08-06

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

Authors:  Rui Ma; Sheng Xu; Yucheng Zhao; Bing Xia; Ren Wang
Journal:  Front Plant Sci       Date:  2016-04-25       Impact factor: 5.753

10.  Selection of suitable reference genes for qRT-PCR normalisation under different experimental conditions in Eucommia ulmoides Oliv.

Authors:  Jing Ye; Cang-Fu Jin; Nan Li; Min-Hao Liu; Zhao-Xue Fei; Li-Zheng Dong; Long Li; Zhou-Qi Li
Journal:  Sci Rep       Date:  2018-10-09       Impact factor: 4.379

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  4 in total

1.  Selection of the Reference Gene for Expression Normalization in Salsola ferganica under Abiotic Stress.

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Journal:  Genes (Basel)       Date:  2022-03-24       Impact factor: 4.141

2.  Characterization of the TCP Gene Family in Chrysanthemum nankingense and the Role of CnTCP4 in Cold Tolerance.

Authors:  Chang Tian; Lisheng Zhai; Wenjing Zhu; Xiangyu Qi; Zhongyu Yu; Haibin Wang; Fadi Chen; Likai Wang; Sumei Chen
Journal:  Plants (Basel)       Date:  2022-03-30

3.  Immunomodulatory Molecular Mechanisms of Luffa cylindrica for Downy Mildews Resistance Induced by Growth-Promoting Endophytic Fungi.

Authors:  Mamoona Rauf; Asim Ur-Rahman; Muhammad Arif; Humaira Gul; Aziz Ud-Din; Muhammad Hamayun; In-Jung Lee
Journal:  J Fungi (Basel)       Date:  2022-06-29

4.  Genome-Wide Screening and Stability Verification of the Robust Internal Control Genes for RT-qPCR in Filamentous Fungi.

Authors:  Yayong Yang; Xinyu Xu; Zhuohan Jing; Jun Ye; Hui Li; Xiaoyu Li; Lei Shi; Mengyu Chen; Tengyun Wang; Baogui Xie; Yongxin Tao
Journal:  J Fungi (Basel)       Date:  2022-09-10
  4 in total

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