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不同温度培养胁迫下的RNA测序分析及候选基因挖掘

RNA-Seq Analysis and Candidate Gene Mining of Stressed by Cultured at Different Temperatures.

作者信息

Yang Ni, Gong Zhaolong, Liang Yajun, Geng Shiwei, Sun Fenglei, Li Xueyuan, Qian Shuaishuai, Lai Chengxia, Yusuyin Mayila, Wang Junduo, Zheng Juyun

机构信息

Research Institute of Economic Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China.

出版信息

Plants (Basel). 2024 Sep 25;13(19):2688. doi: 10.3390/plants13192688.

Abstract

The occurrence and spread of () in cotton depends on the combined effects of pathogens, host plants, and the environment, among which temperature is one of the most important environmental factors. Studying how temperature impacts the occurrence of in cotton and the mechanisms governing host defense responses is crucial for disease prevention and control. Understanding the dual effects of temperature on both pathogens and hosts can provide valuable insights for developing effective strategies to manage this destructive fungal infection in cotton. This study was based on the deciduous Vd-3. Through cultivation at different temperatures, Vd-3 formed the most microsclerotia and had the largest colony diameter at 25 °C. Endospore toxins were extracted, and 48 h was determined to be the best pathogenic time point for endotoxins to infect cotton leaves through a chlorophyll fluorescence imaging system and phenotypic evaluation. Transcriptome sequencing was performed on cotton leaves infected with Vd-3 endotoxins for 48 h at different culture temperatures. A total of 34,955 differentially expressed genes (DEGs) were identified between each temperature and CK (no pathogen inoculation), including 17,422 common DEGs. The results of the enrichment analysis revealed that all the DEGs were involved mainly in photosynthesis and sugar metabolism. Among the 34,955 DEGs, genes in the biosynthesis and signal transduction pathways of jasmonic acid (JA), salicylic acid (SA), and ethylene (ET) were identified, and their expression patterns were determined. A total of 5652 unique DEGs were clustered into six clusters using the k-means clustering algorithm, and the functions and main transcription factors (TFs) of each cluster were subsequently annotated. In addition, we constructed a gene regulatory network via weighted correlation network analysis (WGCNA) and identified twelve key genes related to cotton defense against at different temperatures, including four genes encoding transcription factors. These findings provide a theoretical foundation for investigating temperature regulation in infecting cotton and introduce novel genetic resources for enhancing resistance to this disease in cotton plants.

摘要

()在棉花中的发生和传播取决于病原体、寄主植物和环境的综合作用,其中温度是最重要的环境因素之一。研究温度如何影响棉花中()的发生以及寄主防御反应的调控机制对于疾病的预防和控制至关重要。了解温度对病原体和寄主的双重影响可为制定有效的策略来管理棉花中这种破坏性真菌感染提供有价值的见解。本研究基于落叶型的Vd - 3。通过在不同温度下培养,Vd - 3在25℃时形成的微菌核最多且菌落直径最大。提取了内生孢子毒素,并通过叶绿素荧光成像系统和表型评估确定48小时是内毒素感染棉花叶片的最佳致病时间点。对在不同培养温度下用Vd - 3内毒素感染48小时的棉花叶片进行了转录组测序。在每个温度与CK(未接种病原体)之间共鉴定出34955个差异表达基因(DEG),其中包括17422个共同的DEG。富集分析结果表明,所有DEG主要参与光合作用和糖代谢。在34955个DEG中,鉴定出了茉莉酸(JA)、水杨酸(SA)和乙烯(ET)生物合成及信号转导途径中的基因,并确定了它们的表达模式。使用k - 均值聚类算法将总共5652个独特的DEG聚类为六个簇,随后对每个簇的功能和主要转录因子(TF)进行了注释。此外,我们通过加权基因共表达网络分析(WGCNA)构建了一个基因调控网络,并鉴定出十二个与棉花在不同温度下抵御()相关的关键基因,其中包括四个编码转录因子的基因。这些发现为研究温度对感染棉花的()的调控提供了理论基础,并为增强棉花植株对这种疾病的抗性引入了新的遗传资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b9b/11479098/9eceff8ce0f6/plants-13-02688-g001.jpg

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