Evidence map›Paper›PMID 20699391›Full record

ArticleThe Plant cell2010

Network analysis of enzyme activities and metabolite levels and their relationship to biomass in a large panel of Arabidopsis accessions.

Ronan Sulpice, Sandra Trenkamp, Matthias Steinfath, Bjorn Usadel, Yves Gibon, Hanna Witucka-Wall, Eva-Theresa Pyl, Hendrik Tschoep, Marie Caroline Steinhauser, Manuela Guenther and 5 more

Abstract read
In one paragraph

Article in The Plant cell, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

  1. Article
  2. Article
  3. A rapid method to quantify vein density in CPlant, cell & environment · 2023
    Article
  4. Article
  5. Wheat Oxylipins in Response to Aphids, COMolecules (Basel, Switzerland) · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Jasmonic Acid Signaling Pathway in Response to Abiotic Stresses in Plants.International journal of molecular sciences · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Plants (Basel, Switzerland) · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Predicting future biomass yield inGlobal change biology. Bioenergy · 2017
    Article
  19. Article
  20. Article

12 more citing papers are in PubMed but not listed here.

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

15 authors.

Ronan SulpiceMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany. sulpice@mpmip-golm.mpg.de
Sandra Trenkamp
Matthias Steinfath
Bjorn Usadel
Yves Gibon
Hanna Witucka-Wall
Eva-Theresa Pyl
Hendrik Tschoep
Marie Caroline Steinhauser
Manuela Guenther
Melanie Hoehne
Johann M Rohwer
Thomas Altmann
Alisdair R Fernie
Mark Stitt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural genetic diversity provides a powerful resource to investigate how networks respond to multiple simultaneous changes. In this work, we profile maximum catalytic activities of 37 enzymes from central metabolism and generate a matrix to investigate species-wide connectivity between metabolites, enzymes, and biomass. Most enzyme activities change in a highly coordinated manner, especially those in the Calvin-Benson cycle. Metabolites show coordinated changes in defined sectors of metabolism. Little connectivity was observed between maximum enzyme activities and metabolites, even after applying multivariate analysis methods. Measurements of posttranscriptional regulation will be required to relate these two functional levels. Individual enzyme activities correlate only weakly with biomass. However, when they are used to estimate protein abundances, and the latter are summed and expressed as a fraction of total protein, a significant positive correlation to biomass is observed. The correlation is additive to that obtained between starch and biomass. Thus, biomass is predicted by two independent integrative metabolic biomarkers: preferential investment in photosynthetic machinery and optimization of carbon use.

Indexed as

BiomassGenetic VariationArabidopsisArabidopsis ProteinsGene Expression ProfilingMultivariate AnalysisArabidopsis Proteins

Identifiers

PMID20699391
PMCPMC2947169

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.