Evidence map›Paper›PMID 34554248›Full record

ArticleJournal of experimental botany2022

Dissecting the metabolic reprogramming of maize root under nitrogen-deficient stress conditions.

Niaz Bahar Chowdhury, Wheaton L Schroeder, Debolina Sarkar, Nardjis Amiour, Isabelle Quilleré, Bertrand Hirel, Costas D Maranas, Rajib Saha

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Journal of experimental botany, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Drought stress inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Niaz Bahar ChowdhuryDepartment of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.
Wheaton L SchroederDepartment of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.
Debolina SarkarDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA.
Nardjis AmiourInstitut National de Recherche pour l'Agriculure, l'Alimentation et l'Envionnement (INRAE), Centre de Versailles-Grignon, Versailles cedex, France.
Isabelle QuilleréInstitut National de Recherche pour l'Agriculure, l'Alimentation et l'Envionnement (INRAE), Centre de Versailles-Grignon, Versailles cedex, France.
Bertrand HirelInstitut National de Recherche pour l'Agriculure, l'Alimentation et l'Envionnement (INRAE), Centre de Versailles-Grignon, Versailles cedex, France.
Costas D MaranasDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA.
Rajib SahaDepartment of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.ORCID 0000-0002-2974-0243
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRUniversity of Nebraska–Lincoln · USPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth and development of maize (Zea mays L.) largely depends on its nutrient uptake through the root. Hence, studying its growth, response, and associated metabolic reprogramming to stress conditions is becoming an important research direction. A genome-scale metabolic model (GSM) for the maize root was developed to study its metabolic reprogramming under nitrogen stress conditions. The model was reconstructed based on the available information from KEGG, UniProt, and MaizeCyc. Transcriptomics data derived from the roots of hydroponically grown maize plants were used to incorporate regulatory constraints in the model and simulate nitrogen-non-limiting (N+) and nitrogen-deficient (N-) condition. Model-predicted flux-sum variability analysis achieved 70% accuracy compared with the experimental change of metabolite levels. In addition to predicting important metabolic reprogramming in central carbon, fatty acid, amino acid, and other secondary metabolism, maize root GSM predicted several metabolites (l-methionine, l-asparagine, l-lysine, cholesterol, and l-pipecolate) playing a regulatory role in the root biomass growth. Furthermore, this study revealed eight phosphatidylcholine and phosphatidylglycerol metabolites which, even though not coupled with biomass production, played a key role in the increased biomass production under N-deficient conditions. Overall, the omics-integrated GSM provides a promising tool to facilitate stress condition analysis for maize root and engineer better stress-tolerant maize genotypes.

Indexed as

NitrogenZea maysAmino AcidsBiomassPlant RootsAmino AcidsNitrogenAbiotic stressgenome-scale metabolic modelingmaize rootmetabolomicsnitrogen-deficient stresstranscriptomics

Identifiers

PMID34554248
OpenAlexW3201597199

What OpenQuestion holds

Textmetadata
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.