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Reconstruction and analysis of the gene regulatory network for cell wall function in <i>Arabidopsis thaliana</i> L. leaves in response to water deficit

转录因子 基因 生物 扩张素 转录组 拟南芥 拟南芥 细胞壁 生物逆境 基因调控网络 遗传学 细胞生物学 非生物胁迫 计算生物学 基因表达 突变体
作者
A. R. Volyanskaya,Е. А. Ощепкова,У. С. Зубаирова,П. С. Деменков,A. S. Venzel,Yuriy L. Orlov,A. A. Makarova,Timofey Ivanisenko,Tatyana Gorshkova,A. R. Aglyamova,Н. А. Колчанов,Ming Chen,В. А. Иванисенко
出处
期刊:Вавиловский журнал генетики и селекции [Institute of Cytology and Genetics]
卷期号:27 (8): 1031-1041 被引量:3
标识
DOI:10.18699/vjgb-23-118
摘要

The plant cell wall represents the outer compartment of the plant cell, which provides a physical barrier and triggers signaling cascades under the influence of biotic and abiotic stressors. Drought is a factor that negatively affects both plant growth and development. Cell wall proteins (CWP) play an important role in the plant response to water deficit. The adaptation mechanisms of the cell wall to water loss are of interest for identifying important genetic factors determining plant drought resistance and provide valuable information on biomarkers for further selection aimed at increasing the yield of crop plants. Using ANDSystem, a gene network describing the regulation of CWPs under water restriction conditions was reconstructed. The analysis of the gene network and the transcriptome data analysis allowed prioritizing transcription factors (TF) based on their enrichment of differentially expressed genes regulated by them. As a result, scores were calculated, acting as indicators of the association of TFs with water deficit. On the basis of the score values, eight most significant TFs were selected. The highest priority was given to the TF GBF3. CWPs were prioritized according to the criterion of summing up the scores of transcription factors regulating these genes. Among the most prioritized CWPs were the AT5G03350 gene encoding a lectin-like protein, AT4G20860 encoding BBE-like 22 required for the oxidation of cellulose degradation products, and AT4G37800 encoding xyloglucan endotransglucosy lase/hydrolase 7. Overall, the implemented algorithm could be used for prediction of regulatory interactions between transcription factors and target genes encoding cell wall proteins in plants.

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