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Selection of reference genes for gene expression analysis in Liriodendron hybrids' somatic embryogenesis and germinative tissues.


ABSTRACT: The differential expression of genes is crucial for plant somatic embryogenesis (SE), and the accurate quantification of gene expression levels relies on choosing appropriate reference genes. To select the most suitable reference genes for SE studies, 10 commonly used reference genes were examined in synchronized somatic embryogenic and subsequent germinative cultures of Liriodendron hybrids by using quantitative real-time reverse transcription PCR. Four popular normalization algorithms: geNorm, NormFinder, Bestkeeper and Delta-Ct were used to select and validate the suitable reference genes. The results showed that elongation factor 1-gamma, histone H1 linker protein, glyceraldehyde-3-phosphate dehydrogenase and ?-tubulin were suitable for SE tissues, while elongation factor 1-gamma and actin were best for the germinative organ tissues. Our work will benefit future studies of gene expression and functional analyses of SE in Liriodendron hybrids. It is also serves as a guide of reference gene selection in early embryonic gene expression analyses for other woody plant species.

SUBMITTER: Li T 

PROVIDER: S-EPMC7925589 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Selection of reference genes for gene expression analysis in Liriodendron hybrids' somatic embryogenesis and germinative tissues.

Li Tingting T   Yuan Weigao W   Qiu Shuai S   Shi Jisen J  

Scientific reports 20210302 1


The differential expression of genes is crucial for plant somatic embryogenesis (SE), and the accurate quantification of gene expression levels relies on choosing appropriate reference genes. To select the most suitable reference genes for SE studies, 10 commonly used reference genes were examined in synchronized somatic embryogenic and subsequent germinative cultures of Liriodendron hybrids by using quantitative real-time reverse transcription PCR. Four popular normalization algorithms: geNorm,  ...[more]

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2013-07-17 | GSE48915 | GEO