Evidence map›Paper›PMID 26392078›Full record

ArticleThe Plant cell2015

The Circadian Clock Modulates Global Daily Cycles of mRNA Ribosome Loading.

Anamika Missra, Ben Ernest, Tim Lohoff, Qidong Jia, James Satterlee, Kenneth Ke, Albrecht G von Arnim

Open access · bronzeAbstract read
In one paragraph

Article in The Plant cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

49 citing papers in PubMed, 91 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Circadian Control of Protein Synthesis.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  7. Review
  8. Maize inbreds show allelic variation for diel transcription patterns.bioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Review
  11. Review
  12. Legume-rhizobia symbiosis: Translatome analysis.Genetics and molecular biology · 2024
    Article
  13. Article
  14. Machine learning estimation of human body time using metabolomic profiling.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Orchestrated translation specializes dinoflagellate metabolism three times per day.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

7 authors at 2 institutions in 2 countries.

Anamika MissraDepartment of Biochemistry, Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996-0840.
Ben ErnestGraduate School of Genome Science and Technology, The University of Tennessee, Knoxville, TN 37996-0840.
Tim LohoffDepartment of Biochemistry, Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996-0840 Molekulare Zellphysiologie, Fakultät Biologie, Universität Bielefeld, D-33615 Bielefeld, Germany.ORCID http://orcid.org/0000-0001-9333-842X
Qidong JiaGraduate School of Genome Science and Technology, The University of Tennessee, Knoxville, TN 37996-0840.
James SatterleeDepartment of Biochemistry, Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996-0840.ORCID http://orcid.org/0000-0002-0267-4944
Kenneth KeDepartment of Biochemistry, Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996-0840.
Albrecht G von ArnimDepartment of Biochemistry, Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996-0840 Graduate School of Genome Science and Technology, The University of Tennessee, Knoxville, TN 37996-0840 vonarnim@utk.edu.ORCID http://orcid.org/0000-0003-3472-3357
University of Tennessee at Knoxville · USBielefeld University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circadian control of gene expression is well characterized at the transcriptional level, but little is known about diel or circadian control of translation. Genome-wide translation state profiling of mRNAs in Arabidopsis thaliana seedlings grown in long day was performed to estimate ribosome loading per mRNA. The experiments revealed extensive translational regulation of key biological processes. Notably, translation of mRNAs for ribosomal proteins and mitochondrial respiration peaked at night. Central clock mRNAs are among those subject to fluctuations in ribosome loading. There was no consistent phase relationship between peak translation states and peak transcript levels. The overlay of distinct transcriptional and translational cycles can be expected to alter the waveform of the protein synthesis rate. Plants that constitutively overexpress the clock gene CCA1 showed phase shifts in peak translation, with a 6-h delay from midnight to dawn or from noon to evening being particularly common. Moreover, cycles of ribosome loading that were detected under continuous light in the wild type collapsed in the CCA1 overexpressor. Finally, at the transcript level, the CCA1-ox strain adopted a global pattern of transcript abundance that was broadly correlated with the light-dark environment. Altogether, these data demonstrate that gene-specific diel cycles of ribosome loading are controlled in part by the circadian clock.

Indexed as

Gene Expression Regulation, PlantArabidopsisArabidopsis ProteinsCircadian ClocksCircadian RhythmGene OntologyLightProtein BiosynthesisRibosomesRNA, MessengerTranscription FactorsArabidopsis ProteinsCCA1 protein, ArabidopsisRNA, MessengerTranscription Factors

Identifiers

PMID26392078
PMCPMC4815098
OpenAlexW2183825625

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.