Literature DB >> 20005862

Selection of appropriate reference genes for gene expression studies by quantitative real-time polymerase chain reaction in cucumber.

Hongjian Wan1, Zhenguo Zhao, Chuntao Qian, Yihu Sui, Ahmed Abbas Malik, Jinfeng Chen.   

Abstract

Quantitative real-time polymerase chain reaction (QRT-PCR) has become one of the most widely used methods for gene expression analysis. However, the expression profile of a target gene may be misinterpreted due to unstable expression of the reference genes under different experimental conditions. Thus, a systematic evaluation of these reference genes is necessary before experiments are performed. In this study, 10 putative reference genes were chosen for identifying expression stability using geNorm, NormFinder, and BestKeeper statistical algorithms in 12 different cucumber sample pools, including those from different plant tissues and from plants treated with hormones and abiotic stresses. EF1alpha and UBI-ep exhibited the most stable expression across all of the tested cucumber samples. In different tissues, in addition to expression of EF1alpha and UBI-ep, the expression of TUA was also stable and was considered as an appropriate reference gene. Evaluation of samples treated with different hormones revealed that TUA and UBI-ep were the most stably expressed genes. However, for abiotic stress treatments, only EF1alpha showed a relatively stable expression level. In conclusion, TUA, UBI-ep, and EF1alpha will be particularly helpful for reliable QRT-PCR data normalization in these types of samples. This study also provides guidelines for selecting different reference genes under different conditions. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 20005862     DOI: 10.1016/j.ab.2009.12.008

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  168 in total

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Journal:  Plant Cell Rep       Date:  2010-11-13       Impact factor: 4.570

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Journal:  J Appl Genet       Date:  2013-11       Impact factor: 3.240

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Journal:  Mol Genet Genomics       Date:  2014-06-22       Impact factor: 3.291

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8.  Fine genetic mapping of target leaf spot resistance gene cca-3 in cucumber, Cucumis sativus L.

Authors:  Changlong Wen; Aijun Mao; Congjuan Dong; Huyu Liu; Shuancang Yu; Yang-Dong Guo; Yiqun Weng; Yong Xu
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9.  Selection of reference genes for quantitative reverse-transcription polymerase chain reaction normalization in Brassica napus under various stress conditions.

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Journal:  Mol Genet Genomics       Date:  2014-04-27       Impact factor: 3.291

10.  Isolation and functional characterization of CsLsi2, a cucumber silicon efflux transporter gene.

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