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转录组元分析鉴定了[具体生物]中病原体应激反应的候选枢纽基因和通路。 (你提供的原文不完整,这里补充了“[具体生物]”使句子完整通顺)

Transcriptome Meta-Analysis Identifies Candidate Hub Genes and Pathways of Pathogen Stress Responses in .

作者信息

Biniaz Yaser, Tahmasebi Ahmad, Tahmasebi Aminallah, Albrectsen Benedicte Riber, Poczai Péter, Afsharifar Alireza

机构信息

Plant Virology Research Center, Faculty of Agriculture, Shiraz University, Shiraz 7194685115, Iran.

Institute of Biotechnology, Faculty of Agriculture, Shiraz University, Shiraz 7194685115, Iran.

出版信息

Biology (Basel). 2022 Aug 1;11(8):1155. doi: 10.3390/biology11081155.

DOI:10.3390/biology11081155
PMID:36009782
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9404733/
Abstract

Following a pathogen attack, plants defend themselves using multiple defense mechanisms to prevent infections. We used a meta-analysis and systems-biology analysis to search for general molecular plant defense responses from transcriptomic data reported from different pathogen attacks in . Data from seven studies were subjected to meta-analysis, which revealed a total of 3694 differentially expressed genes (DEGs), where both healthy and infected plants were considered. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis further suggested that the DEGs were involved in several biosynthetic metabolic pathways, including those responsible for the biosynthesis of secondary metabolites and pathways central to photosynthesis and plant-pathogen interactions. Using network analysis, we highlight the importance of WRKY40, WRKY46 and STZ, and suggest that they serve as major points in protein-protein interactions. This is especially true regarding networks of composite-metabolic responses by pathogens. In summary, this research provides a new approach that illuminates how different mechanisms of transcriptome responses can be activated in plants under pathogen infection and indicates that common genes vary in their ability to regulate plant responses to the pathogens studied herein.

摘要

在遭受病原体攻击后,植物会利用多种防御机制来保护自己以防止感染。我们使用荟萃分析和系统生物学分析,从报道的不同病原体攻击的转录组数据中寻找植物普遍的分子防御反应。来自七项研究的数据进行了荟萃分析,共揭示了3694个差异表达基因(DEGs),其中同时考虑了健康植物和受感染植物。基因本体论和京都基因与基因组百科全书通路富集分析进一步表明,这些差异表达基因参与了多个生物合成代谢途径?包括负责次生代谢物生物合成的途径以及光合作用和植物 - 病原体相互作用的核心途径。通过网络分析,我们强调了WRKY40、WRKY46和STZ的重要性,并表明它们是蛋白质 - 蛋白质相互作用的主要节点。对于病原体的复合代谢反应网络尤其如此。总之,本研究提供了一种新方法,阐明了在病原体感染下植物转录组反应的不同机制是如何被激活的,并表明常见基因在调节植物对本文所研究病原体的反应能力方面存在差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/9404733/2227658948a5/biology-11-01155-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/9404733/82e90427b359/biology-11-01155-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/9404733/2227658948a5/biology-11-01155-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/9404733/82e90427b359/biology-11-01155-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/9404733/700ada7a92f2/biology-11-01155-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/9404733/ddb0e0c20627/biology-11-01155-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/9404733/e62830fe8914/biology-11-01155-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/9404733/2227658948a5/biology-11-01155-g005.jpg

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