Evidence map›Paper›PMID 34623442›Full record

ArticleThe Plant cell2022

Genome-wide association of the metabolic shifts underpinning dark-induced senescence in Arabidopsis.

Feng Zhu, Saleh Alseekh, Kaan Koper, Hao Tong, Zoran Nikoloski, Thomas Naake, Haijun Liu, Jianbing Yan, Yariv Brotman, Weiwei Wen and 3 more

Open access · hybridAbstract read
In one paragraph

Article in The Plant cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Plasticity of metabolism in plants.The Plant journal : for cell and molecular biology · 2026
    Review
  3. Plants (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Insights into the Role ofInternational journal of molecular sciences · 2025
    Article
  6. Review
  7. Identification of a Novel GeneInternational journal of molecular sciences · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Expression Patterns and Functional Analysis of ThreeInternational journal of molecular sciences · 2023
    Article
  19. Article
  20. 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

13 authors at 7 institutions in 6 countries.

Feng ZhuNational R&D Center for Citrus Preservation, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0002-9133-0843
Saleh AlseekhMax-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm 14476, Germany.ORCID 0000-0003-2067-5235
Kaan KoperDepartment of Botany, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.ORCID 0000-0002-7703-0502
Hao TongMax-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm 14476, Germany.ORCID 0000-0003-4856-1336
Zoran NikoloskiMax-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm 14476, Germany.ORCID 0000-0003-2671-6763
Thomas NaakeMax-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm 14476, Germany.ORCID 0000-0001-7917-5580
Haijun LiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0001-7717-893X
Jianbing YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0001-8650-7811
Yariv BrotmanMax-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm 14476, Germany.ORCID 0000-0001-6573-7845
Weiwei WenNational R&D Center for Citrus Preservation, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0002-3413-4766
Hiroshi MaedaDepartment of Botany, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.ORCID 0000-0003-0246-694X
Yunjiang ChengNational R&D Center for Citrus Preservation, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0002-9159-9455
Alisdair R FernieMax-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm 14476, Germany.ORCID 0000-0001-9000-335X
Huazhong Agricultural University · CNCenter of Plant Systems Biology and Biotechnology · BGUniversity of Potsdam · DEUniversity of Wisconsin–Madison · USBen-Gurion University of the Negev · ILGregor Mendel Institute of Molecular Plant Biology · ATMax Planck Institute of Molecular Plant Physiology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dark-induced senescence provokes profound metabolic shifts to recycle nutrients and to guarantee plant survival. To date, research on these processes has largely focused on characterizing mutants deficient in individual pathways. Here, we adopted a time-resolved genome-wide association-based approach to characterize dark-induced senescence by evaluating the photochemical efficiency and content of primary and lipid metabolites at the beginning, or after 3 or 6 days in darkness. We discovered six patterns of metabolic shifts and identified 215 associations with 81 candidate genes being involved in this process. Among these associations, we validated the roles of four genes associated with glycine, galactinol, threonine, and ornithine levels. We also demonstrated the function of threonine and galactinol catabolism during dark-induced senescence. Intriguingly, we determined that the association between tyrosine contents and TYROSINE AMINOTRANSFERASE 1 influences enzyme activity of the encoded protein and transcriptional activity of the gene under normal and dark conditions, respectively. Moreover, the single-nucleotide polymorphisms affecting the expression of THREONINE ALDOLASE 1 and the amino acid transporter gene AVT1B, respectively, only underlie the variation in threonine and glycine levels in the dark. Taken together, these results allow us to present a very detailed model of the metabolic aspects of dark-induced senescence, as well as the process itself.

Indexed as

DarknessGenes, PlantArabidopsisGenome-Wide Association StudyPlant Senescence

Identifiers

PMID34623442
PMCPMC8774053
OpenAlexW3203057876

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.