Evidence map›Paper›PMID 40692297›Full record

ArticlePlant biotechnology journal2025

Natural variation of the wheat root exudate metabolome and its influence on biological nitrification inhibition activity.

Arindam Ghatak, Alexandros E Kanellopoulos, Cristina López-Hidalgo, Andrea Malits, Yuhang Meng, Florian Schindler, Shuang Zhang, Jiahang Li, Steffen Waldherr, Hugo Ribeiro and 11 more

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

21 authors.

Arindam Ghatak *Molecular Systems Biology Lab (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-4706-9841
Alexandros E Kanellopoulos *Laboratory of Plant and Environmental Biotechnology, Department of Biochemistry and Biotechnology, University of Thessaly, Larissa, Greece.ORCID https://orcid.org/0009-0002-1179-0514
Cristina López-Hidalgo *Molecular Systems Biology Lab (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-0407-1135
Andrea Malits *Archaea Biology and Ecogenomics Unit, Department of Functional and Evolutionary Ecology, Faculty of Life Sciences, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-2320-3439
Yuhang Meng *Molecular Systems Biology Lab (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.
Florian Schindler *Molecular Systems Biology Lab (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-5248-8739
Shuang ZhangMolecular Systems Biology Lab (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-4281-5753
Jiahang LiMolecular Systems Biology Lab (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.
Steffen WaldherrMolecular Systems Biology Lab (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-0936-579X
Hugo RibeiroLaboratory of Plant and Environmental Biotechnology, Department of Biochemistry and Biotechnology, University of Thessaly, Larissa, Greece.ORCID https://orcid.org/0000-0002-2087-8385
Melina KerouArchaea Biology and Ecogenomics Unit, Department of Functional and Evolutionary Ecology, Faculty of Life Sciences, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-1657-3041
Logan H HodgskissArchaea Biology and Ecogenomics Unit, Department of Functional and Evolutionary Ecology, Faculty of Life Sciences, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-8796-3840
Maximilian DreerArchaea Biology and Ecogenomics Unit, Department of Functional and Evolutionary Ecology, Faculty of Life Sciences, University of Vienna, Vienna, Austria.
Reyazul Rouf MirDivision of Genetics & Plant Breeding, Faculty of Agriculture (FoA), SKUAST-Kashmir, Srinagar, India.ORCID https://orcid.org/0000-0002-3196-211X
Sandeep SharmaDepartment of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India.
Gert BachmannMolecular Systems Biology Lab (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-2329-4606
Dimitrios G KarpouzasLaboratory of Plant and Environmental Biotechnology, Department of Biochemistry and Biotechnology, University of Thessaly, Larissa, Greece.ORCID https://orcid.org/0000-0002-1573-7983
Christa SchleperArchaea Biology and Ecogenomics Unit, Department of Functional and Evolutionary Ecology, Faculty of Life Sciences, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-1918-2735
Evangelia S PapadopoulouLaboratory of Environmental Microbiology and Virology, Department of Environmental Sciences, University of Thessaly, Larissa, Greece.ORCID https://orcid.org/0000-0002-1767-1228
Palak ChaturvediMolecular Systems Biology Lab (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-5856-0348
Wolfram WeckwerthMolecular Systems Biology Lab (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-9719-6358

Funding

Grantham Foundation for the Protection of the Environment
6 · The paper itself

Abstract

Excessive nitrogen use and low nitrogen use efficiency (NUE) in current agroecosystems are disrupting the global nitrogen cycle. Chemical inhibitors offer only temporary relief, while plant-derived biological nitrification inhibitors (BNIs) remain safer but underexplored. Identifying biological nitrification inhibition (BNI) traits in nitrogen-demanding crops like wheat is key to improving sustainability. In this study, a combined GC- and LC-MS platform was used to determine the metabolome of the root exudates of 44 diverse wheat genotypes originating from India and Austria. With more than 6000 metabolic features, a pronounced genotype-specific variation, a clear geographic pattern and an unexpected complexity of the root exudate metabolome were observed. A novel high-throughput assay utilizing diverse ammonia-oxidizing bacteria (AOB) and archaea (AOA) was developed for rapid BNI testing, highlighting distinct inhibition and even growth stimulation capacities between genotypes. Network analysis and advanced machine and deep learning analysis identified combinations of 32 metabolites linked to high BNI activity, including phenylpropanoids sinapinic acid, syringic acid and others, as well as glycosylated flavones isoschaftoside and others. This indicates that the concurrent presence of specific metabolites, rather than a single compound, drives nitrification inhibition in the rhizosphere. Variation in BNI activity among wheat genotypes, classified as either spring or winter types, suggests that root architecture modulates the dynamics of root exudation and the potential for nitrification inhibition. The unique combination of high-throughput metabolomics analysis and the BNI fast-track assay allows for screening of large germplasm collections as an essential requirement to introduce BNI and related NUE traits into modern breeding programmes.

Indexed as

MetabolomeNitrificationPlant ExudatesPlant RootsTriticumArchaeaGenotypeNitrogenNitrogenPlant ExudatesBiological Nitrification Inhibition (BNI)fast‐track BNI screening bioassayNature‐based Solution (NbS)root exudate metabolomeroot exudatesTriticum aestivum

Identifiers

PMID40692297
PMCPMC12576471

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.