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首页> 外文期刊>Scientific reports. >Revealing crosstalk of plant and fungi in the symbiotic roots of sewage-cleaning Eichhornia crassipes using direct de novo metatranscriptomic analysis
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Revealing crosstalk of plant and fungi in the symbiotic roots of sewage-cleaning Eichhornia crassipes using direct de novo metatranscriptomic analysis

机译:直接 de novo 元转录组分析方法揭示污水净化 Eichhornia crassipes 共生根系中植物和真菌的串扰

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Cultivation and environmental changes can induce development of novel phenotypes in plants. For example, the root morphology of cultivated purple root Eichhornia crassipes differs remarkably from normal Eichhornia crassipes and also shows an enhanced ability to absorb heavy metal from groundwater. However, the changes in gene expression associated with these processes are unknown because of the lack of information on its large and unsequenced genome and its complex plant-rhizosphere symbiotic system. To investigate these gene expression changes, we applied a new strategy, direct de novo metatranscriptome analysis. Using this approach, we assembled the metatranscriptome of the entire rhizosphere and identified species-specific differentially expressed genes (DEGs) via hyper-accurate algorithms, showing a polarized plant/fungus distribution: the plant genes were responsible for morphological changes to the root system, offering a greater volume and surface area that hosts more fungi; while genes associated with heavy metal response in the fungus Fusarium were upregulated more than 3600-fold. These results suggested a distinct and synergistic functional response by the plant and fungal transcriptomes, indicating significant plant/fungal crosstalk during environmental changes. This study demonstrates that the metatranscriptomic approach adopted here offers a cost-efficient strategy to study symbiosis systems without the need for a priori genomic knowledge.
机译:耕种和环境变化可以诱导植物产生新的表型。例如,栽培的紫色根凤眼莲的根的形态与正常凤眼莲明显不同,并且还显示出从地下水吸收重金属的能力增强。然而,由于缺乏有关其大而无序的基因组及其复杂的植物-根际共生系统的信息,与这些过程相关的基因表达变化尚不清楚。为了研究这些基因表达的变化,我们应用了一种新的策略,即直接从头转录组分析。使用这种方法,我们组装了整个根际的元转录组,并通过超精确算法识别了物种特异性差异表达基因(DEG),显示出极化的植物/真菌分布:植物基因负责根系的形态变化,提供更大的体积和表面积,可容纳更多的真菌;而真菌镰刀菌中与重金属反应相关的基因被上调了3600倍以上。这些结果表明植物和真菌转录组具有独特的协同功能反应,表明在环境变化过程中存在明显的植物/真菌串扰。这项研究表明,此处采用的转录组学方法为研究共生系统提供了一种经济高效的策略,而无需先验的基因组知识。

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