Evidence map›Paper›PMID 38841807›Full record

ReviewJournal of experimental botany2024

Adaptive modifications in plant sulfur metabolism over evolutionary time.

Stanislav Kopriva, Parisa Rahimzadeh Karvansara, Hideki Takahashi

Abstract readReview
In one paragraph

Review in Journal of experimental botany, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. HHorticulture research · 2026
    Article
  6. Review
  7. Exogenous HProtoplasma · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

3 authors.

Stanislav KoprivaInstitute for Plant Sciences, Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne, Zülpicher Str. 47b, D-50674 Cologne, Germany.ORCID 0000-0002-7416-6551
Parisa Rahimzadeh KarvansaraInstitute of Molecular Photosynthesis, Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich Heine University Düsseldorf, D-40225 Düsseldorf, Germany.ORCID 0000-0002-2866-8630
Hideki TakahashiDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0001-8439-0533

Funding

Deutsche Forschungsgemeinschaft 426501900
6 · The paper itself

Abstract

Sulfur (S) is an essential element for life on Earth. Plants are able to take up and utilize sulfate (SO42-), the most oxidized inorganic form of S compounds on Earth, through the reductive S assimilatory pathway that couples with photosynthetic energy conversion. Organic S compounds are subsequently synthesized in plants and made accessible to animals, primarily as the amino acid methionine. Thus, plant S metabolism clearly has nutritional importance in the global food chain. S metabolites may be part of redox regulation and drivers of essential metabolic pathways as cofactors and prosthetic groups, such as Fe-S centers, CoA, thiamine, and lipoic acid. The evolution of the S metabolic pathways and enzymes reflects the critical importance of functional innovation and diversifications. Here we review the major evolutionary alterations that took place in S metabolism across different scales and outline research directions that may take advantage of understanding the evolutionary adaptations.

Indexed as

Biological EvolutionPlantsSulfurAdaptation, PhysiologicalSulfurCysteineevolutionglucosinolatesglutathionemetabolismmethioninenatural variationsulfur

Identifiers

PMID38841807
PMCPMC11350084

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.