Kaan Koper, Marcos V. V. de Oliveira, Sebastian Huß, Shogo Hataya, Fayaz Soleymani, Charles Hawkins, Seung Y. Rhee, Taichi E. Takasuka, Zoran Nikoloski, Hiroshi A. Maeda
{"title":"Mapping multi-substrate specificity of Arabidopsis aminotransferases","authors":"Kaan Koper, Marcos V. V. de Oliveira, Sebastian Huß, Shogo Hataya, Fayaz Soleymani, Charles Hawkins, Seung Y. Rhee, Taichi E. Takasuka, Zoran Nikoloski, Hiroshi A. Maeda","doi":"10.1038/s41477-025-02095-6","DOIUrl":null,"url":null,"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. Systematic characterization of Arabidopsis aminotransferase family enzymes uncovered many previously unrecognized activities and revealed their multi-substrate specificity, aspects that probably contribute to the robustness of the nitrogen metabolic network.","PeriodicalId":18904,"journal":{"name":"Nature Plants","volume":"11 9","pages":"1863-1876"},"PeriodicalIF":13.6000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Plants","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41477-025-02095-6","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
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. Systematic characterization of Arabidopsis aminotransferase family enzymes uncovered many previously unrecognized activities and revealed their multi-substrate specificity, aspects that probably contribute to the robustness of the nitrogen metabolic network.
期刊介绍:
Nature Plants is an online-only, monthly journal publishing the best research on plants — from their evolution, development, metabolism and environmental interactions to their societal significance.