Evidence map›Paper›PMID 40164785›Full record

ReviewNature plants2025

Non-canonical plant metabolism.

Lee J Sweetlove, R George Ratcliffe, Alisdair R Fernie

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature plants, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

3 authors.

Lee J SweetloveDepartment of Biology, University of Oxford, Oxford, UK. lee.sweetlove@biology.ox.ac.uk.ORCID 0000-0002-2461-4133
R George RatcliffeDepartment of Biology, University of Oxford, Oxford, UK.ORCID 0000-0001-8394-1575
Alisdair R FernieMax Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.ORCID 0000-0001-9000-335X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolism is essential for plant growth and has become a major target for crop improvement by enhancing nutrient use efficiency. Metabolic engineering is also the basis for producing high-value plant products such as pharmaceuticals, biofuels and industrial biochemicals. An inherent problem for such engineering endeavours is the tendency to view metabolism as a series of distinct metabolic pathways-glycolysis, the tricarboxylic acid cycle, the Calvin-Benson cycle and so on. While these canonical pathways may represent a dominant or frequently occurring flux mode, systematic analyses of metabolism via computational modelling have emphasized the inherent flexibility of the metabolic network to carry flux distributions that are distinct from the canonical pathways. Recent experimental estimates of metabolic network fluxes using

Indexed as

Metabolic Networks and PathwaysPlantsCitric Acid CycleFatty AcidsMetabolic EngineeringTerpenesFatty AcidsTerpenes

Identifiers

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.