Evidence map›Paper›PMID 40940428›Full record

ArticleNature plants2025

Mapping multi-substrate specificity of Arabidopsis aminotransferases.

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

Abstract read
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In one paragraph

Article in Nature plants, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Stress Adaptation Phenomena ofPlants (Basel, Switzerland) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Kaan KoperDepartment of Botany, University of Wisconsin-Madison, Madison, WI, USA.
Marcos V V de OliveiraDepartment of Botany, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-9330-2782
Sebastian HußBioinformatics Department, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.
Shogo HatayaResearch Faculty of Agriculture, Hokkaido University, Sapporo, Japan.
Fayaz SoleymaniBioinformatics Department, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.ORCID 0009-0000-5183-7407
Charles HawkinsPlant Resilience Institute, Michigan State University, East Lansing, MI, USA.
Seung Y RheePlant Resilience Institute, Michigan State University, East Lansing, MI, USA.ORCID 0000-0002-7572-4762
Taichi E TakasukaResearch Faculty of Agriculture, Hokkaido University, Sapporo, Japan.ORCID 0000-0002-4413-2924
Zoran NikoloskiBioinformatics Department, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.ORCID 0000-0003-2671-6763
Hiroshi A MaedaDepartment of Botany, University of Wisconsin-Madison, Madison, WI, USA. maeda2@wisc.edu.ORCID 0000-0003-0246-694X

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) Collaborative Research Center 1644DOE | SC | Biological and Environmental Research (BER) DE-SC0020390NSF | BIO | Division of Integrative Organismal Systems (IOS) IOS-2312181
6 · The paper itself

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.

Indexed as

ArabidopsisArabidopsis ProteinsTransaminasesNitrogenSubstrate SpecificityArabidopsis ProteinsNitrogenTransaminases

Identifiers

PMID40940428

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.