Evidence map›Paper›PMID 30914651›Full record

ArticleNature communications2019

Water impacts nutrient dose responses genome-wide to affect crop production.

Joseph Swift, Mark Adame, Daniel Tranchina, Amelia Henry, Gloria M Coruzzi

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Antagonistic regulation of nitrogen and drought signaling mediated by NIN-like protein 7 transcription factor inProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
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  14. Review
  15. Review
  16. Nutrient dose-responsive transcriptome changes driven by Michaelis-Menten kinetics underlie plant growth rates.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. QnAs with Gloria M. Coruzzi.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

5 authors at 3 institutions in 2 countries.

Joseph SwiftCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, 10003, NY, USA.
Mark AdameCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, 10003, NY, USA.
Daniel TranchinaCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, 10003, NY, USA.
Amelia HenryInternational Rice Research Institute, Los Banos, 4031, Laguna, Philippines.ORCID http://orcid.org/0000-0001-6255-5480
Gloria M CoruzziCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, 10003, NY, USA. gloria.coruzzi@nyu.edu.ORCID http://orcid.org/0000-0003-2608-2166
New York University · USCourant Institute of Mathematical Sciences · USInternational Rice Research Institute · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in nutrient dose have dramatic effects on gene expression and development. One outstanding question is whether organisms respond to changes in absolute nutrient amount (moles) vs. its concentration in water (molarity). This question is particularly relevant to plants, as soil drying can alter nutrient concentration, without changing its absolute amount. To compare the effects of amount vs. concentration, we expose rice to a factorial matrix varying the dose of nitrogen (N) and water (W) over a range of combinations, and quantify transcriptome and phenotype responses. Using linear models, we identify distinct dose responses to either N-moles, W-volume, N-molarity (N/W), or their synergistic interaction (N×W). Importantly, genes whose expression patterns are best explained by N-dose and W interactions (N/W or N×W) in seedlings are associated with crop outcomes in replicated field trials. Such N-by-W responsive genes may assist future efforts to develop crops resilient to increasingly arid, low nutrient soils.

Indexed as

Crop ProductionCrops, AgriculturalGene Expression ProfilingGene Expression Regulation, PlantGenome, PlantLinear ModelsNitrogenNutrientsOryzaPhenotypeSeedlingsSoilWaterNitrogenNutrientsSoilWater

Identifiers

PMID30914651
PMCPMC6435674
OpenAlexW2924722826

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.