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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.

DOI:10.3389/fpls.2024.1343073
PMID:39246813
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11377263/
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/7288/11377263/09804b315bc4/fpls-15-1343073-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/403dc70fc6ec/fpls-15-1343073-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/48b4b73cc1a1/fpls-15-1343073-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/9f900dcb0f40/fpls-15-1343073-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/595dde8b7ffd/fpls-15-1343073-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/d8d9dfb4c37e/fpls-15-1343073-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/09804b315bc4/fpls-15-1343073-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/403dc70fc6ec/fpls-15-1343073-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/48b4b73cc1a1/fpls-15-1343073-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/9f900dcb0f40/fpls-15-1343073-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/595dde8b7ffd/fpls-15-1343073-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/d8d9dfb4c37e/fpls-15-1343073-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7288/11377263/09804b315bc4/fpls-15-1343073-g006.jpg

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本文引用的文献

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How sensor Amt-like proteins integrate ammonium signals.氨敏 Amt 样蛋白如何整合铵信号。
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2
Nitrate confers rice adaptation to high ammonium by suppressing its uptake but promoting its assimilation.硝酸盐通过抑制水稻对铵的吸收但促进其同化作用,使水稻适应高铵环境。
Mol Plant. 2023 Dec 4;16(12):1871-1874. doi: 10.1016/j.molp.2023.11.008. Epub 2023 Nov 22.
3
Enhancing agroecosystem nitrogen management: microbial insights for improved nitrification inhibition.
增强农业生态系统氮素管理:改善硝化抑制的微生物见解。
Trends Microbiol. 2024 Jun;32(6):590-601. doi: 10.1016/j.tim.2023.10.009. Epub 2023 Nov 15.
4
Plastid-localized amino acid metabolism coordinates rice ammonium tolerance and nitrogen use efficiency.质体定位的氨基酸代谢协调水稻的铵耐受性和氮利用效率。
Nat Plants. 2023 Sep;9(9):1514-1529. doi: 10.1038/s41477-023-01494-x. Epub 2023 Aug 21.
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Growth, nutrient uptake and transcriptome profiling of rice seedlings in response to mixed provision of ammonium- and nitrate-nitrogen.水稻幼苗对铵态氮和硝态氮混合供应的生长、养分吸收和转录组分析。
J Plant Physiol. 2023 May;284:153976. doi: 10.1016/j.jplph.2023.153976. Epub 2023 Mar 25.
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NIN-like protein 7 transcription factor is a plant nitrate sensor.NIN 样蛋白 7 转录因子是一种植物硝酸盐传感器。
Science. 2022 Sep 23;377(6613):1419-1425. doi: 10.1126/science.add1104. Epub 2022 Sep 22.
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Isolation and Characterization of an LBD Transcription Factor CsLBD39 from Tea Plant () and Its Roles in Modulating Nitrate Content by Regulating Nitrate-Metabolism-Related Genes.从茶树()中分离和鉴定一个 LBD 转录因子 CsLBD39,并研究其通过调控硝酸盐代谢相关基因来调节硝酸盐含量的作用。
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