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基于序列的启动子上下文评估,用于预测拟南芥和水稻的转录起始位点。

Sequence-based evaluation of promoter context for prediction of transcription start sites in Arabidopsis and rice.

机构信息

Graduate School of Natural Science and Technology, Gifu University, Yanagido 1-1, Gifu, 501-1193, Japan.

RIKEN Center for Sustainable Resource Science, Hirosue-Cho 1-7-22, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan.

出版信息

Sci Rep. 2022 Apr 28;12(1):6976. doi: 10.1038/s41598-022-11169-w.

Abstract

Genes are transcribed from transcription start sites (TSSs), and their position in a genome is strictly controlled to avoid mis-expression of undesired regions. In this study, we designed and developed a methodology for the evaluation of promoter context, which detects proximal promoter regions from - 200 to - 60 bp relative to a TSS, in Arabidopsis and rice genomes. The method positively evaluates spacer sequences and Regulatory Element Groups, but not core promoter elements like TATA boxes, and is able to predict the position of a TSS within a width of 200 bp. An important feature of the evaluation/prediction method is its independence of the core promoter elements, which was demonstrated by successful prediction of all the TATA, GA, and coreless types of promoters without notable differences in the accuracy of prediction. The positive relationship identified between the evaluation scores and gene expression levels suggests that this method is useful for the evaluation of promoter maturity.

摘要

基因从转录起始位点 (TSS) 转录,其在基因组中的位置受到严格控制,以避免非期望区域的错误表达。在这项研究中,我们设计并开发了一种评估启动子上下文的方法,该方法可检测拟南芥和水稻基因组中相对于 TSS 的-200 至-60bp 的近端启动子区域。该方法对间隔序列和调控元件组进行正向评估,但不评估 TATA 盒等核心启动子元件,并且能够在 200bp 的宽度内预测 TSS 的位置。评估/预测方法的一个重要特征是其不依赖核心启动子元件,这通过成功预测所有 TATA、GA 和无核心类型的启动子而没有明显的预测准确性差异得到了证明。评估分数与基因表达水平之间的正相关关系表明,该方法可用于评估启动子成熟度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b5/9050755/2092bc358ce0/41598_2022_11169_Fig1_HTML.jpg

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