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硝酸盐与铵盐,氮吸收的阴阳两面:水稻的时间进程转录组学研究

Nitrate and ammonium, the yin and yang of nitrogen uptake: a time-course transcriptomic study in rice.

作者信息

Pélissier Pierre-Mathieu, Parizot Boris, Jia Letian, De Knijf Alexa, Goossens Vera, Gantet Pascal, Champion Antony, Audenaert Dominique, Xuan Wei, Beeckman Tom, Motte Hans

机构信息

Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.

VIB Center for Plant Systems Biology, Ghent, Belgium.

出版信息

Front Plant Sci. 2024 Aug 23;15:1343073. doi: 10.3389/fpls.2024.1343073. eCollection 2024.

Abstract

Nitrogen is an essential nutrient for plants and a major determinant of plant growth and crop yield. Plants acquire nitrogen mainly in the form of nitrate and ammonium. Both nitrogen sources affect plant responses and signaling pathways in a different way, but these signaling pathways interact, complicating the study of nitrogen responses. Extensive transcriptome analyses and the construction of gene regulatory networks, mainly in response to nitrate, have significantly advanced our understanding of nitrogen signaling and responses in model plants and crops. In this study, we aimed to generate a more comprehensive gene regulatory network for the major crop, rice, by incorporating the interactions between ammonium and nitrate. To achieve this, we assessed transcriptome changes in rice roots and shoots over an extensive time course under single or combined applications of the two nitrogen sources. This dataset enabled us to construct a holistic co-expression network and identify potential key regulators of nitrogen responses. Next to known transcription factors, we identified multiple new candidates, including the transcription factors OsRLI and OsEIL1, which we demonstrated to induce the primary nitrate-responsive genes and . Our network thus serves as a valuable resource to obtain novel insights in nitrogen signaling.

摘要

氮是植物必需的营养元素,也是植物生长和作物产量的主要决定因素。植物主要以硝酸盐和铵盐的形式获取氮。这两种氮源以不同方式影响植物反应和信号通路,但这些信号通路相互作用,使得对氮反应的研究变得复杂。广泛的转录组分析以及主要针对硝酸盐的基因调控网络构建,显著推进了我们对模式植物和作物中氮信号传导及反应的理解。在本研究中,我们旨在通过纳入铵盐和硝酸盐之间的相互作用,为主要作物水稻生成更全面的基因调控网络。为实现这一目标,我们评估了在单一或两种氮源组合应用的广泛时间进程中水稻根和地上部的转录组变化。该数据集使我们能够构建一个整体的共表达网络,并鉴定出氮反应的潜在关键调节因子。除了已知的转录因子外,我们还鉴定出多个新的候选因子,包括转录因子OsRLI和OsEIL1,我们证明它们可诱导主要的硝酸盐反应基因 和 。因此,我们的网络是获得氮信号传导新见解的宝贵资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/403dc70fc6ec/fpls-15-1343073-g001.jpg

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