Identification, characterization and expression analysis of the VQ motif-containing gene family in tea plant (Camellia sinensis)

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Abstract

BACKGROUND: VQ motif-containing (VQ) proteins are plant-specific proteins that interact with WRKY transcription factors and play important roles in plant growth, development and stress response. To date, VQ gene families have been identified and characterized in many plant species, including Arabidopsis, rice and grapevine. However, the VQ gene family in tea plant has not been reported, and the biological functions of this family remain unknown. RESULTS: In total, 25 CsVQ genes were identified based on the genome and transcriptome of tea plant, and a comprehensive bioinformatics analysis was performed. The CsVQ proteins all contained the typical conserved motif FxxhVQxhTG, and most proteins were localized in the nucleus. The phylogenetic analysis showed that the VQ proteins were classified into 5 groups (I, III-VI); the evolution of the CsVQ proteins is consistent with the evolutionary process of plants, and close proteins shared similar structures and functions. In addition, the expression analysis revealed that the CsVQ genes play important roles in the process of tea plant growth, development and response to salt and drought stress. Furthermore, a potential regulatory network including the interactions of CsVQ proteins with CsWRKY transcription factors and the regulation of upstream microRNA that is closely related to the above-mentioned processes is proposed. CONCLUSIONS: The results of this study increase our understanding and characterization of CsVQ genes and their encoded proteins in tea plant. This systematic analysis provided comprehensive information for further studies investigating the biological functions of CsVQ proteins in various developmental processes of tea plants.

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Guo, J., Chen, J., Yang, J., Yu, Y., Yang, Y., & Wang, W. (2018). Identification, characterization and expression analysis of the VQ motif-containing gene family in tea plant (Camellia sinensis). BMC Genomics, 19(1), 710. https://doi.org/10.1186/s12864-018-5107-x

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