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超越树状结构:调控子和调控基序特征描述。

Beyond Trees: Regulons and Regulatory Motif Characterization.

机构信息

Department of Biology, University of Ottawa, Ottawa, ON K1N 6N5, Canada.

Ottawa Institute of Systems Biology, Ottawa, ON K1H 8M5, Canada.

出版信息

Genes (Basel). 2020 Aug 25;11(9):995. doi: 10.3390/genes11090995.

Abstract

Trees and their seeds regulate their germination, growth, and reproduction in response to environmental stimuli. These stimuli, through signal transduction, trigger transcription factors that alter the expression of various genes leading to the unfolding of the genetic program. A regulon is conceptually defined as a set of target genes regulated by a transcription factor by physically binding to regulatory motifs to accomplish a specific biological function, such as the CO-FT regulon for flowering timing and fall growth cessation in trees. Only with a clear characterization of regulatory motifs, can candidate target genes be experimentally validated, but motif characterization represents the weakest feature of regulon research, especially in tree genetics. I review here relevant experimental and bioinformatics approaches in characterizing transcription factors and their binding sites, outline problems in tree regulon research, and demonstrate how transcription factor databases can be effectively used to aid the characterization of tree regulons.

摘要

树木及其种子会根据环境刺激来调节自身的萌发、生长和繁殖。这些刺激通过信号转导,触发转录因子改变各种基因的表达,从而展开遗传程序。调控群在概念上被定义为一组受转录因子调控的靶基因,这些靶基因通过与调控基序物理结合来完成特定的生物学功能,如 CO-FT 调控群,它控制树木的开花时间和秋季生长停止。只有对调控基序进行明确的特征描述,才能通过实验验证候选靶基因,但基序特征描述是调控群研究中最薄弱的环节,尤其是在树木遗传学中。本文综述了在鉴定转录因子及其结合位点方面的相关实验和生物信息学方法,概述了树木调控群研究中存在的问题,并展示了如何有效地利用转录因子数据库来辅助树木调控群的特征描述。

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