Classification, Prediction and Database Construction of Plant Transcription Factors

doi:10.13560/j.cnki.biotech.bull.1985.2015.11.004

Abstract

Abstract: Transcription factors(TFs)play key regulatory roles in both plant development and stress response. Genome-wide prediction of TFs is essential for functional and evolutionary studies of plant TFs. We made extensive literature review with thousands papers related to plant TFs and summarized a set of classification rules for plant TFs and developed a TF prediction pipeline. Using this pipeline, we predicted 129 288 TFs, classified into 58 families, from 83 plant species covering the main lineages of green plants including many economically important monocot and dicot crops. We made high-quality annotations for these TFs and built a plant TF database PlantTFDB(http: //planttfdb.cbi.pku.edu.cn). A TF prediction server was also developed for users to predict TFs from their own sequences. PlantTFDB has been served as an important portal for the functional and evolutionary studies of plant TF research community.

Key words: transcription factor, classification of transcription factor, prediction of transcription factor, plant transcription factor database

Jin Jinpu, Guo Anyuan, He Kun, Zhang He, Zhu Qihui, Chen Xin, Gao Ge, Luo Jingchu. Classification, Prediction and Database Construction of Plant Transcription Factors[J]. Biotechnology Bulletin, 2015, 31(11): 68-77.

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