Literature DB >> 25501189

Selection of optimized candidate reference genes for qRT-PCR normalization in rice (Oryza sativa L.) during Magnaporthe oryzae infection and drought.

R Bevitori1, M B Oliveira2, M F Grossi-de-Sá3, A C Lanna1, R D da Silveira2, S Petrofeza4.   

Abstract

Drought and rice blast disease caused by Magnaporthe oryzae are two of the most serious threats to global rice production. To explore the mechanisms underlying gene expression induced in rice by stresses, studies involving transcriptome analyses have been conducted over the past few years. Thus, it is crucial to have a reliable set of reference genes to normalize the expression levels of rice genes affected by different stresses. To identify potential reference genes for studies of the differential expression of target genes in rice under M. oryzae infection and drought conditions, the present study evaluated five housekeeping genes for the normalization of gene expression. The stability of the expression of these genes was assessed using the analytical software packages geNorm and NormFinder. For all samples analyzed, the stability rank was UBQ5 > GAPDH > eIF-4α> β-TUB > 18S rRNA. The data showed that the UBQ5, GAPDH, and eIF-4αgenes are appropriate, high-performing reference genes and will be highly useful in future expression studies of fungal infections and drought in rice.

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Year:  2014        PMID: 25501189     DOI: 10.4238/2014.November.27.7

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  13 in total

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2.  Comprehensive molecular insights into the stress response dynamics of rice (Oryza sativa L.) during rice tungro disease by RNA-seq-based comparative whole transcriptome analysis.

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Journal:  J Biosci       Date:  2020       Impact factor: 1.826

3.  The titers of rice tungro bacilliform virus dictate the expression levels of genes related to cell wall dynamics in rice plants affected by tungro disease.

Authors:  Gaurav Kumar; Indranil Dasgupta
Journal:  Arch Virol       Date:  2021-03-03       Impact factor: 2.574

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Authors:  Xia Yan; Qiaoling Zhang; Jun Zou; Chaozu He; Jun Tao
Journal:  Curr Microbiol       Date:  2019-03-12       Impact factor: 2.188

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Authors:  Huihui Zhuang; Yanping Fu; Wei He; Lin Wang; Yahui Wei
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7.  Transcriptome analysis in different rice cultivars provides novel insights into desiccation and salinity stress responses.

Authors:  Rama Shankar; Annapurna Bhattacharjee; Mukesh Jain
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Authors:  Xin Liu; Huirui Guan; Min Song; Yanping Fu; Xiaomin Han; Meng Lei; Jingyu Ren; Bin Guo; Wei He; Yahui Wei
Journal:  PeerJ       Date:  2018-04-03       Impact factor: 2.984

9.  Systematic selection and validation of suitable reference genes for quantitative real-time PCR normalization studies of gene expression in Nitraria tangutorum.

Authors:  Bo Wang; Huirong Duan; Peifang Chong; Shiping Su; Lishan Shan; Dan Yi; Lirong Wang; Yi Li
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

10.  Reference gene identification for reliable normalisation of quantitative RT-PCR data in Setaria viridis.

Authors:  Andrew L Eamens; Christopher P L Grof; Duc Quan Nguyen
Journal:  Plant Methods       Date:  2018-03-21       Impact factor: 4.993

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