Evidence map›Paper›PMID 35058608›Full record

ArticleNature plants2022

Faster than expected Rubisco deactivation in shade reduces cowpea photosynthetic potential in variable light conditions.

Samuel H Taylor, Emmanuel Gonzalez-Escobar, Rhiannon Page, Martin A J Parry, Stephen P Long, Elizabete Carmo-Silva

Erratum issuedAbstract read
In one paragraph

Article in Nature plants, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Adapting CProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Review
  7. Cowpea (Frontiers in plant science · 2025
    Review
  8. Article
  9. Phenotyping photosynthesis: yes we can.Journal of experimental botany · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Increased bundle-sheath leakiness of COThe New phytologist · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Samuel H Taylor *Lancaster Environment Centre, Lancaster University, Lancaster, UK.ORCID http://orcid.org/0000-0001-9714-0656
Emmanuel Gonzalez-Escobar *Lancaster Environment Centre, Lancaster University, Lancaster, UK.
Rhiannon PageLancaster Environment Centre, Lancaster University, Lancaster, UK.
Martin A J ParryLancaster Environment Centre, Lancaster University, Lancaster, UK.ORCID http://orcid.org/0000-0002-4477-672X
Stephen P LongLancaster Environment Centre, Lancaster University, Lancaster, UK.ORCID http://orcid.org/0000-0002-8501-7164
Elizabete Carmo-SilvaLancaster Environment Centre, Lancaster University, Lancaster, UK. e.carmosilva@lancaster.ac.uk.ORCID http://orcid.org/0000-0001-6059-9359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cowpea is the major source of vegetable protein for rural populations in sub-Saharan Africa and average yields are not keeping pace with population growth. Each day, crop leaves experience many shade events and the speed of photosynthetic adjustment to this dynamic environment strongly affects daily carbon gain. Rubisco activity is particularly important because it depends on the speed and extent of deactivation in shade and recovers slowly on return to sun. Here, direct biochemical measurements showed a much faster rate of Rubisco deactivation in cowpea than prior estimates inferred from dynamics of leaf gas exchange in other species

Indexed as

Ribulose-Bisphosphate CarboxylaseVignaCarbon DioxidePhotosynthesisPlant LeavesCarbon DioxideRibulose-Bisphosphate Carboxylase

Identifiers

PMID35058608
PMCPMC8863576

What OpenQuestion holds

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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.