Green transcription factors:: A Chlamydomonas overview
Green transcription factors:: A Chlamydomonas overview
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DOI：
10.1534/genetics.107.086090
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发表时间：
2008-05-01
期刊：
影响因子：
3.3
通讯作者：
Mueller-Roeber, Bernd
中科院分区：
文献类型：
--
作者：
Riano-Pachon, Diego Mauricio;Correa, Luiz Gustavo Guedes;Mueller-Roeber, Bernd
转录因子通过与靶基因启动子中的顺式元件相互作用来控制基因的表达。转录调节因子（TRs）通过与tf、染色质重塑或其他机制的相互作用来帮助控制基因表达。因此，这两种类型的蛋白质构成了动态转录网络的主控者。为了揭示光合绿藻莱茵衣藻（Chlamydomonas reinhardtii）中的这些控制元素，我们对其基因组序列进行了全面分析。总共鉴定出234个基因，编码147个tf和87个tr，与40个家族相似。假设的tf和tr的集合，包括它们的转录本和蛋白质序列，结构域结构，以及关于假设的同源物的支持信息，可在http://plntfdb.bio.uni-potsdam.de/v2.0/上获得。34个植物特异性TF家族中有12个在至少一种藻类中被发现，表明它们的早期进化起源。22个植物特异性TF家族和1个植物特异性TR家族未在藻类中观察到，这表明它们与多细胞植物的发育或生理过程具有特异性关联。我们还分析了被子植物中构成光调控转录网络的蛋白质的发生，并发现了大多数可能的藻类同源物。我们的分析为未来旨在破译绿藻转录调控网络的实验研究提供了坚实的基础。
Transcription factors (TFs) control gene expression by interacting with cis-elements in target gene promoters. Transcription regulators (TRs) assist in controlling gene expression through interaction with TFs, chromatin remodeling, or other mechanisms. Both types of proteins thus constitute master controllers of dynamic transcriptional networks. To uncover such control elements in the photosynthetic green alga Chlamydomonas reinhardtii, we performed a comprehensive analysis of its genome sequence. In total, we identified 234 genes encoding 147 TFs and 87 TRs of similar to 40 families. The set of putative TFs and TRs, including their transcript and protein sequences, domain architectures, and supporting information about putative orthologs, is available at http://plntfdb.bio.uni-potsdam.de/v2.0/. Twelve of 34 plant-specific TF families were found in at least one algal species, indicating their early evolutionary origin. Twenty-two plant-specific TF families and one plant-specific TR family were not observed in algae, suggesting their specific association with developmental or physiological processes characteristic to multicellular plants. We also analyzed the occurrence of proteins that constitute the light-regulated transcriptional network in angiosperms and found putative algal orthologs for most of them. Our analysis provides a solid ground for future experimental studies aiming at deciphering the transcriptional regulatory networks in green algae.