Year: 2025
Type: article
Abstract: Mining tissue-specific genes is important for studying the processes of life activities within tissues, and it is a way of finding genes that regulate relevant traits. In recent years, the massive growth of expression data from various tissues has provided important opportunities for the large-scale analysis of tissue-specific genes. We found 489, 276, and 728 RTEGs (root tissue-specific expression genes) using 35 RNA-seq databases in 13 different tissues from three species of plants, e.g., Arabidopsis, rice, and maize, respectively, by bioinformatics methods. A total of 34 RTEGs in rice were found to be conserved in all three species, and 29 genes of them were unreported. Furthermore, 16 newly core cis-acting elements, named REM1-16 (root expression motif), were predicted by four well-known bioinformatics tools, which might determine the root tissue expression pattern. In particular, REM2 is conserved in not only Arabidopsis, but also rice. These cis-acting elements may be an important genetic resource that can be introduced into synthetic memory circuits to precisely regulate the spatiotemporal expression of genes in a user-defined manner.
DOI: 10.3390/ijms26041720
Authors: Shan Gao, Yi Chai, Xinyue Zhou, Suhui Chen
Institution: Shanghai Normal University
Language: English
Subfield: Plant Science
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,499
Funder: Shanghai Normal University
Award: G2512896497
OpenAlex ID: W4407711330