Evidence map›Paper›PMID 28514447›Full record

ArticleNature2017

Global translational reprogramming is a fundamental layer of immune regulation in plants.

Guoyong Xu, George H Greene, Heejin Yoo, Lijing Liu, Jorge Marqués, Jonathan Motley, Xinnian Dong

Abstract read
In one paragraph

Article in Nature, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed
43.1field-weighted citation impact, top 1% 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

130 citing papers in PubMed, 247 citations in OpenAlex.

  1. Mechanisms and balanced regulation of plant immunity.Nature reviews. Molecular cell biology · 2026
    Review
  2. From water potential to water sensing.Plant communications · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Field Root-Associated Microbiome Characteristics ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Science advances · 2025
    Article

70 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Guoyong XuHoward Hughes Medical Institute-Gordon and Betty Moore Foundation, Department of Biology, Duke University, Durham, North Carolina 27708, USA.
George H GreeneHoward Hughes Medical Institute-Gordon and Betty Moore Foundation, Department of Biology, Duke University, Durham, North Carolina 27708, USA.
Heejin YooHoward Hughes Medical Institute-Gordon and Betty Moore Foundation, Department of Biology, Duke University, Durham, North Carolina 27708, USA.
Lijing LiuHoward Hughes Medical Institute-Gordon and Betty Moore Foundation, Department of Biology, Duke University, Durham, North Carolina 27708, USA.
Jorge MarquésHoward Hughes Medical Institute-Gordon and Betty Moore Foundation, Department of Biology, Duke University, Durham, North Carolina 27708, USA.
Jonathan MotleyHoward Hughes Medical Institute-Gordon and Betty Moore Foundation, Department of Biology, Duke University, Durham, North Carolina 27708, USA.
Xinnian DongHoward Hughes Medical Institute-Gordon and Betty Moore Foundation, Department of Biology, Duke University, Durham, North Carolina 27708, USA.
Duke University · USGordon and Betty Moore Foundation · USHoward Hughes Medical Institute · US

Funding

ORGANIZATION AND FUNCTIONS OF CELLULAR STRUCTUREST32GM007184 · NIGMS · DUKE UNIVERSITY · PI JINKS-ROBERTSON, SUE · 1985 to 2019
$18.2M
Genetics Training Grant-Year 26T32GM007754 · NIGMS · DUKE UNIVERSITY · PI HAASE, STEVEN B · 1985 to 2019
$8.3M
Salicylic Acid in Immunity and Health: A Small Phytohormone with Big Physiological ImpactsR35GM118036 · NIGMS · DUKE UNIVERSITY · PI Xinnian Dong · 2016 to 2026
$4.0M
Functional Analyses of NPR1 in Plant DefenseR01GM069594 · NIGMS · DUKE UNIVERSITY · PI DONG, XINNIAN · 2004 to 2016
$3.8M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM069594NIGMS NIH HHS R35 GM118036NIGMS NIH HHS T32 GM007184NIGMS NIH HHS T32 GM007754
6 · The paper itself

Abstract

In the absence of specialized immune cells, the need for plants to reprogram transcription to transition from growth-related activities to defence is well understood. However, little is known about translational changes that occur during immune induction. Using ribosome footprinting, here we perform global translatome profiling on Arabidopsis exposed to the microbe-associated molecular pattern elf18. We find that during this pattern-triggered immunity, translation is tightly regulated and poorly correlated with transcription. Identification of genes with altered translational efficiency leads to the discovery of novel regulators of this immune response. Further investigation of these genes shows that messenger RNA sequence features are major determinants of the observed translational efficiency changes. In the 5' leader sequences of transcripts with increased translational efficiency, we find a highly enriched messenger RNA consensus sequence, R-motif, consisting of mostly purines. We show that R-motif regulates translation in response to pattern-triggered immunity induction through interaction with poly(A)-binding proteins. Therefore, this study provides not only strong evidence, but also a molecular mechanism, for global translational reprogramming during pattern-triggered immunity in plants.

Indexed as

Gene Expression Regulation, PlantArabidopsisConsensus SequenceGene Expression ProfilingNucleotide MotifsPathogen-Associated Molecular Pattern MoleculesPlant ImmunityPoly AProtein BiosynthesisRibosomesRNA, MessengerRNA, PlantTranscription, GeneticPathogen-Associated Molecular Pattern MoleculesPoly ARNA, MessengerRNA, Plant

Identifiers

PMID28514447
PMCPMC5485861
OpenAlexW2614263878

What OpenQuestion holds

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LicenceTDM
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.