Dataset Information

Genome-Wide Identification of New Reference Genes for qRT-PCR Normalization under High Temperature Stress in Rice Endosperm.

ABSTRACT: qRT-PCR is one of the most popular approaches to analyze specific gene expression level, and stably expressed reference genes are essential to obtain reliable results. However, many reference genes are only stable under certain circumstances and different reference genes might be required in different experiments. High temperature is a common stress that affects rice endosperm development and it has become a hot topic recently. Although study about reference genes at different developmental stages in rice has been reported, these genes may not be suitable to study high temperature mediated responses especially in endosperm. In our quest for proper reference genes to quantify gene expression in rice endosperm under high temperature, we studied 6 candidate genes selected from the transcriptome data and 11 housekeeping genes. All genes were analyzed with qRT-PCR and the expression stability was assessed with software geNorm and NormFinder. Fb15 and eIF-4a were identified as the two most stable genes in endosperm at different developmental stages, while high temperature treatment has a least effect on expression of Fb15 and UBQ5 in rice endosperm. Our results provide some good candidate reference genes for qRT-PCR normalization in rice endosperm under different temperatures.

SUBMITTER: Xu H

PROVIDER: S-EPMC4640718 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

Genome-Wide Identification of New Reference Genes for qRT-PCR Normalization under High Temperature Stress in Rice Endosperm.

Xu Heng H Bao Jian-Dong JD Dai Ji-Song JS Li Yongqing Y Zhu Ying Y

PloS one 20151110 11

qRT-PCR is one of the most popular approaches to analyze specific gene expression level, and stably expressed reference genes are essential to obtain reliable results. However, many reference genes are only stable under certain circumstances and different reference genes might be required in different experiments. High temperature is a common stress that affects rice endosperm development and it has become a hot topic recently. Although study about reference genes at different developmental stag ...[more]

PMID: 26555942

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Project description:BackgroundDendrocalamus latiflorus Munro distributes widely in subtropical areas and plays vital roles as valuable natural resources. The transcriptome sequencing for D. latiflorus Munro has been performed and numerous genes especially those predicted to be unique to D. latiflorus Munro were revealed. qRT-PCR has become a feasible approach to uncover gene expression profiling, and the accuracy and reliability of the results obtained depends upon the proper selection of stable reference genes for accurate normalization. Therefore, a set of suitable internal controls should be validated for D. latiflorus Munro.ResultsIn this report, twelve candidate reference genes were selected and the assessment of gene expression stability was performed in ten tissue samples and four leaf samples from seedlings and anther-regenerated plants of different ploidy. The PCR amplification efficiency was estimated, and the candidate genes were ranked according to their expression stability using three software packages: geNorm, NormFinder and Bestkeeper. GAPDH and EF1α were characterized to be the most stable genes among different tissues or in all the sample pools, while CYP showed low expression stability. RPL3 had the optimal performance among four leaf samples. The application of verified reference genes was illustrated by analyzing ferritin and laccase expression profiles among different experimental sets. The analysis revealed the biological variation in ferritin and laccase transcript expression among the tissues studied and the individual plants.ConclusionsgeNorm, NormFinder, and BestKeeper analyses recommended different suitable reference gene(s) for normalization according to the experimental sets. GAPDH and EF1α had the highest expression stability across different tissues and RPL3 for the other sample set. This study emphasizes the importance of validating superior reference genes for qRT-PCR analysis to accurately normalize gene expression of D. latiflorus Munro.

Dataset Information

Genome-Wide Identification of New Reference Genes for qRT-PCR Normalization under High Temperature Stress in Rice Endosperm.

Publications

Genome-Wide Identification of New Reference Genes for qRT-PCR Normalization under High Temperature Stress in Rice Endosperm.

Similar Datasets

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