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免疫系统组成成分编码基因在对[具体刺激因素]和[具体情况]的反应中的差异表达。 (你原文中“and”前后内容缺失,我只能这样补充完整结构来翻译了)

Differential expression of the genes encoding immune system components in response to and in .

作者信息

Saidi Abbas, Safaeizadeh Mehdi, Hajibarat Zohreh

机构信息

Department of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.

出版信息

3 Biotech. 2024 Jan;14(1):11. doi: 10.1007/s13205-023-03852-0. Epub 2023 Dec 12.

Abstract

In innate immunity, the first layer of defense against any microbial infection is triggered by the perception of pathogen-associated molecular patterns by highly specific pattern recognition receptors. The and are plant-pathogenic bacterial species that include pathogenic strains in a wide range of different plant species. In the current study, extensive analysis including gene expression of 12 hub genes, gene ontology, protein-protein interaction, and cis-element prediction to dissect the response to above-mentioned bacteria were performed. Further, we evaluated weighted co-expression network analysis (WGCNA) in the wild-type plants and mutant line and determined changes in responsive genes at two time-points (4 and 8 h) of post-treatment with and . Compared to the wild-type plants, mutant showed significant expression in most of the genes involved, indicating that their protein products have important role in innate immunity and RNA silencing pathways. Our findings showed that 12 hub genes were co-expressed in response to and infections Based on the network analysis, transcription factors, receptors, protein kinase, and pathogenesis-related protein (PR1) were involved in the immunity system. Gene ontology related to each module was involved in defense response, protein serine kinase activity, and primary miRNA processing. Based on the -elements prediction, MYB, MYC, WRE3, W-box, STRE, and ARE contained the most number of -elements in co-expressed network genes. Also, in mutant, most responsive genes against theses pathogens were up-regulated The knowledge gained in the gene expression analysis in response to and in the model plant, i.e., is essential to allow us to gain more insight about the innate immunity in other crops.

摘要

在先天免疫中,针对任何微生物感染的第一道防线是由高度特异性的模式识别受体识别病原体相关分子模式触发的。[具体细菌名称1]和[具体细菌名称2]是植物致病细菌物种,包括广泛不同植物物种中的致病菌株。在本研究中,进行了广泛分析,包括12个枢纽基因的基因表达、基因本体论、蛋白质-蛋白质相互作用和顺式元件预测,以剖析[植物名称]对上述细菌的反应。此外,我们在野生型植物和[突变体名称]突变系中评估了加权共表达网络分析(WGCNA),并确定了在[具体细菌名称1]和[具体细菌名称2]处理后两个时间点(4小时和8小时)响应基因的变化。与野生型植物相比,[突变体名称]突变体在大多数涉及的基因中表现出显著表达,表明它们的蛋白质产物在先天免疫和RNA沉默途径中具有重要作用。我们的研究结果表明,12个枢纽基因在响应[具体细菌名称1]和[具体细菌名称2]感染时共表达。基于网络分析,转录因子、受体、蛋白激酶和病程相关蛋白(PR1)参与了免疫系统。与每个模块相关的基因本体论涉及防御反应、蛋白质丝氨酸激酶活性和初级miRNA加工。基于顺式元件预测,MYB、MYC、WRE3、W-box、STRE和ARE在共表达网络基因中包含的顺式元件数量最多。此外,在[突变体名称]突变体中,大多数针对这些病原体的响应基因上调。在模式植物[植物名称]中响应[具体细菌名称1]和[具体细菌名称2]的基因表达分析中获得的知识,对于我们深入了解其他作物的先天免疫至关重要。

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