Nevosád Lukáš, Klodová Božena, Rudolf Jiří, Raček Tomáš, Přerovská Tereza, Kusová Alžbeta, Svobodová Radka, Honys David, Procházková Schrumpfová Petra
National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Kotlářská 2, 611 37, Brno, Czech Republic.
Laboratory of Pollen Biology, Institute of Experimental Botany of the Czech Academy of Sciences, Rozvojová 263, 165 02, Prague, Czech Republic.
Plant J. 2025 Mar;121(5):e70037. doi: 10.1111/tpj.70037.
Gene expression regulation during tissue development is extremely complex. A key mechanism of gene regulation is the recognition of regulatory motifs, also known as cis-regulatory elements (CREs), by various proteins in gene promoter regions. Localization of these motifs near the transcription start site (TSS) or translation start site (ATG) is crucial for transcription initiation and rate. Transcription levels of individual genes, regulated by these motifs, can vary significantly across tissues and developmental stages, especially in processes like sexual reproduction. However, the precise localization and visualization of these motifs in relation to gene expression in specific tissues can be challenging. Here, we introduce a freely available tool called GOLEM (Gene regulatOry eLEMents; https://golem.ncbr.muni.cz), which enables users to precisely locate any motif of interest with respect to TSS or ATG within the relevant plant genomes across the plant Tree of Life (Chara, Marchantia, Physcomitrium, Azolla, Ceratopteris, Amborella, Oryza, Zea, Solanum and Arabidopsis). The visualization of the motifs is performed with respect to the transcript levels of particular genes in leaves and male reproductive tissues and can be compared with genome-wide distribution regardless of the transcription level. Additionally, genes with specific CREs at defined positions and high expression in selected tissues can be exported for further analysis. GOLEM's functionality is illustrated by its application to conserved motifs (e.g. TATA-box, ABRE, I-box, and TC-element), hormone-responsive elements (GCC-box, ARR10_binding motif), as well as to male gametophyte-related motifs (e.g., LAT52, MEF2, and DOF_core).
组织发育过程中的基因表达调控极其复杂。基因调控的一个关键机制是基因启动子区域中的各种蛋白质对调控基序(也称为顺式调控元件,CREs)的识别。这些基序在转录起始位点(TSS)或翻译起始位点(ATG)附近的定位对于转录起始和速率至关重要。受这些基序调控的单个基因的转录水平在不同组织和发育阶段可能有显著差异,尤其是在有性生殖等过程中。然而,这些基序在特定组织中与基因表达相关的精确定位和可视化可能具有挑战性。在这里,我们介绍一种名为GOLEM(基因调控元件;https://golem.ncbr.muni.cz)的免费工具,它使用户能够在整个植物生命之树(轮藻、地钱、小立碗藓、满江红、水蕨、无油樟、水稻、玉米、茄属植物和拟南芥)的相关植物基因组中,相对于TSS或ATG精确定位任何感兴趣的基序。基序的可视化是根据叶片和雄性生殖组织中特定基因的转录水平进行的,并且可以与全基因组分布进行比较,而不考虑转录水平。此外,在选定组织中具有特定CREs且在定义位置高表达的基因可以导出以进行进一步分析。GOLEM的功能通过其在保守基序(如TATA盒、ABRE、I盒和TC元件)、激素响应元件(GCC盒、ARR10结合基序)以及雄性配子体相关基序(如LAT52、MEF2和DOF核心)上的应用得到了说明。