Evidence map›Paper›PMID 38366121›Full record

ReviewThe Plant cell2024

Nitrogen sensing and regulatory networks: it's about time and space.

Carly M Shanks, Karin Rothkegel, Matthew D Brooks, Chia-Yi Cheng, José M Alvarez, Sandrine Ruffel, Gabriel Krouk, Rodrigo A Gutiérrez, Gloria M Coruzzi

Open access · hybridAbstract readReview
In one paragraph

Review in The Plant cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
20.4field-weighted citation impact, top 1% of its field
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

26 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Nitrogen form substitution identifies nitrogen use efficiency management pathways in maize.Physiology and molecular biology of plants : an international journal of functional plant biology · 2026
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  13. OsNRT1.1B-OsCNGC14/16-CaAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  14. Article
  15. Adaptation of seed dormancy to maternal climate occurs via intergenerational transport of abscisic acid.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

9 authors at 6 institutions in 4 countries.

Carly M ShanksDepartment of Biology, Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA.ORCID 0000-0001-6229-6845
Karin RothkegelAgencia Nacional de Investigación y Desarrollo-Millennium Science Initiative Program, Millennium Institute for Integrative Biology (iBio), 7500565 Santiago, Chile.ORCID 0000-0003-1076-1113
Matthew D BrooksGlobal Change and Photosynthesis Research Unit, USDA-ARS, Urbana, IL 61801, USA.ORCID 0000-0002-6081-6103
Chia-Yi ChengDepartment of Life Science, National Taiwan University, Taipei 10663, Taiwan.ORCID 0000-0001-5054-5525
José M AlvarezAgencia Nacional de Investigación y Desarrollo-Millennium Science Initiative Program, Millennium Institute for Integrative Biology (iBio), 7500565 Santiago, Chile.ORCID 0000-0002-5073-7751
Sandrine RuffelInstitute for Plant Sciences of Montpellier (IPSiM), Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche pour l'Agriculture, l'Alimentation, et l'Environnement (INRAE), Université de Montpellier, Montpellier 34090, France.ORCID 0000-0002-5651-8349
Gabriel KroukInstitute for Plant Sciences of Montpellier (IPSiM), Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche pour l'Agriculture, l'Alimentation, et l'Environnement (INRAE), Université de Montpellier, Montpellier 34090, France.ORCID 0000-0003-3693-6735
Rodrigo A GutiérrezAgencia Nacional de Investigación y Desarrollo-Millennium Science Initiative Program, Millennium Institute for Integrative Biology (iBio), 7500565 Santiago, Chile.ORCID 0000-0002-5961-5005
Gloria M CoruzziDepartment of Biology, Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA.ORCID 0000-0003-2608-2166
Centre National de la Recherche Scientifique · FRNew York University · USPontificia Universidad Católica de Chile · CLNational Taiwan University · TWUniversidad Andrés Bello · CLUrbana University · US

Funding

Hit-and-Run transcription: The impact of transient interactions in dynamic gene regulatory networks that mediate rapid nutrient signalingR01GM121753 · NIGMS · NEW YORK UNIVERSITY · PI CORUZZI, GLORIA, SHASHA, DENNIS ELLIOTT · 2020 to 2023
$1.7M
A single cell view of the spatiotemporal nitrogen response in rootsF32GM139299 · NIGMS · NEW YORK UNIVERSITY · PI SHANKS, CARLY M · 2021 to 2022
$145k
NIGMS NIH HHS F32 GM139299NIGMS NIH HHS R01 GM121753
6 · The paper itself

Abstract

A plant's response to external and internal nitrogen signals/status relies on sensing and signaling mechanisms that operate across spatial and temporal dimensions. From a comprehensive systems biology perspective, this involves integrating nitrogen responses in different cell types and over long distances to ensure organ coordination in real time and yield practical applications. In this prospective review, we focus on novel aspects of nitrogen (N) sensing/signaling uncovered using temporal and spatial systems biology approaches, largely in the model Arabidopsis. The temporal aspects span: transcriptional responses to N-dose mediated by Michaelis-Menten kinetics, the role of the master NLP7 transcription factor as a nitrate sensor, its nitrate-dependent TF nuclear retention, its "hit-and-run" mode of target gene regulation, and temporal transcriptional cascade identified by "network walking." Spatial aspects of N-sensing/signaling have been uncovered in cell type-specific studies in roots and in root-to-shoot communication. We explore new approaches using single-cell sequencing data, trajectory inference, and pseudotime analysis as well as machine learning and artificial intelligence approaches. Finally, unveiling the mechanisms underlying the spatial dynamics of nitrogen sensing/signaling networks across species from model to crop could pave the way for translational studies to improve nitrogen-use efficiency in crops. Such outcomes could potentially reduce the detrimental effects of excessive fertilizer usage on groundwater pollution and greenhouse gas emissions.

Indexed as

Gene Regulatory NetworksNitrogenSignal TransductionArabidopsisArabidopsis ProteinsGene Expression Regulation, PlantPlant RootsTranscription FactorsArabidopsis ProteinsNIN-LIKE PROTEIN7, ArabidopsisNitrogenTranscription Factors

Identifiers

PMID38366121
PMCPMC11062454
OpenAlexW4392627240

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.