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解析拟南芥转氨酶的多底物特异性

Mapping multi-substrate specificity of Arabidopsis aminotransferases.

作者信息

Koper Kaan, de Oliveira Marcos V V, Huß Sebastian, Hataya Shogo, Soleymani Fayaz, Hawkins Charles, Rhee Seung Y, Takasuka Taichi E, Nikoloski Zoran, Maeda Hiroshi A

机构信息

Department of Botany, University of Wisconsin-Madison, Madison, WI, USA.

Bioinformatics Department, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.

出版信息

Nat Plants. 2025 Sep 12. doi: 10.1038/s41477-025-02095-6.

Abstract

Nitrogen is an essential element in all organisms, and its availability and use efficiency directly impact organismal growth and performance, especially in plants. Aminotransferases are core enzymes of the nitrogen metabolic network for synthesizing various organonitrogen compounds. Although each aminotransferase can potentially catalyse hundreds of transamination reactions with different combinations of amino and keto acid substrates, the full functionality of many aminotransferases remains elusive. Here we employed high-throughput gene synthesis and enzyme assay platforms to determine the substrate specificities of 38 aminotransferases of Arabidopsis thaliana and unveiled many previously unrecognized activities among a total of 4,104 reactions tested. The integration of these biochemical data in an enzyme-constrained metabolic model of Arabidopsis and in silico simulation further revealed that the promiscuity of aminotransferases may alter nitrogen distribution profiles and contribute to the robustness of the nitrogen metabolic network. This study provides foundational knowledge for deciphering the plant nitrogen metabolic network and improving nitrogen use efficiency in crops.

摘要

氮是所有生物体中的必需元素,其有效性和利用效率直接影响生物体的生长和性能,在植物中尤为如此。氨基转移酶是合成各种有机氮化合物的氮代谢网络的核心酶。尽管每种氨基转移酶都有可能催化数百种不同氨基酸和酮酸底物组合的转氨反应,但许多氨基转移酶的全部功能仍不清楚。在这里,我们利用高通量基因合成和酶分析平台来确定拟南芥38种氨基转移酶的底物特异性,并在总共4104个测试反应中揭示了许多以前未被认识的活性。将这些生化数据整合到拟南芥的酶约束代谢模型中并进行计算机模拟,进一步表明氨基转移酶的多特异性可能会改变氮分布概况,并有助于氮代谢网络的稳健性。这项研究为破译植物氮代谢网络和提高作物氮利用效率提供了基础知识。

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