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Analysis of Differentially Expressed Genes in Tissues of Camellia sinensis during Dedifferentiation and Root Redifferentiation

Tissue culture is very important for identifying the gene function of Camellia sinensis (L.) and exploiting novel germplasm through transgenic technology. Regeneration system of tea plant has been explored but not been well established since the molecular mechanism of tea plant regeneration is not c...

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Detalles Bibliográficos
Autores principales: Gao, Ying, Zhao, Min, Wu, Xiao-Han, Li, Da, Borthakur, Devajit, Ye, Jian-Hui, Zheng, Xin-Qiang, Lu, Jian-Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393419/
https://www.ncbi.nlm.nih.gov/pubmed/30814540
http://dx.doi.org/10.1038/s41598-019-39264-5
Descripción
Sumario:Tissue culture is very important for identifying the gene function of Camellia sinensis (L.) and exploiting novel germplasm through transgenic technology. Regeneration system of tea plant has been explored but not been well established since the molecular mechanism of tea plant regeneration is not clear yet. In this study, transcriptomic analysis was performed in the initial explants of tea plant and their dedifferentiated and redifferentiated tissues. A total of 93,607 unigenes were obtained through de novo assembly, and 7,193 differentially expressed genes (DEGs) were screened out from the 42,417 annotated unigenes. Much more DEGs were observed during phase transition rather than at growth stages of callus. Our KOG and KEGG analysis, and qPCR results confirmed that phase transition of tea plant was closely related to the mechanism that regulate expression of genes encoding the auxin- and cytokinin-responsive proteins, transcription factor MYB15 and ethylene-responsive transcription factor ERF RAP2-12. These findings provide a reliable foundation for elucidating the mechanism of the phase transition and may help to optimize the regeneration system by regulating the gene expression pattern.