Evidence map›Paper›PMID 38997252›Full record

ArticleNature communications2024

Arabidopsis and maize terminator strength is determined by GC content, polyadenylation motifs and cleavage probability.

Sayeh Gorjifard, Tobias Jores, Jackson Tonnies, Nicholas A Mueth, Kerry Bubb, Travis Wrightsman, Edward S Buckler, Stanley Fields, Josh T Cuperus, Christine Queitsch

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. In silico prediction of variant effects: promises and limitations for precision plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  14. Review
  15. Article
  16. Plant engineering: advances, bottlenecks, and promise.The Plant journal : for cell and molecular biology · 2025
    Article
  17. Review
  18. The switch-liker's guide to plant synthetic gene circuits.The Plant journal : for cell and molecular biology · 2025
    Review
  19. Article
4 · The record

Corrections and comments

  • Update of
    2024
5 · Who and what money

Authors and funding

10 authors.

Sayeh GorjifardDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-4281-2192
Tobias JoresDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-1804-7187
Jackson TonniesDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-7564-9037
Nicholas A MuethDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
Kerry BubbDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
Travis WrightsmanSection of Plant Breeding and Genetics, Cornell University, Ithaca, NY, 14853, USA.
Edward S BucklerSection of Plant Breeding and Genetics, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0002-3100-371X
Stanley FieldsDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0001-5504-5925
Josh T CuperusDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-8019-7733
Christine QueitschDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA. queitsch@uw.edu.ORCID 0000-0002-0905-4705

Funding

INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
Molecular Mechanisms of Seasonal Time MeasurementR01GM079712 · NIGMS · UNIVERSITY OF WASHINGTON · PI IMAIZUMI, TAKATO · 2007 to 2022
$3.5M
Understanding gene regulation in contextR35GM139532 · NIGMS · UNIVERSITY OF WASHINGTON · PI Christine Queitsch · 2021 to 2026
$3.3M
National Science Foundation (NSF) 2240888NHGRI NIH HHS T32 HG000035NIGMS NIH HHS R01 GM079712NIGMS NIH HHS R35 GM139532United States Department of Agriculture | National Institute of Food and Agriculture (NIFA) 2023-67012-39445U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1R35GM139532U.S. Department of Health & Human Services | National Institutes of Health (NIH) HG000035U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01-GM079712
6 · The paper itself

Abstract

The 3' end of a gene, often called a terminator, modulates mRNA stability, localization, translation, and polyadenylation. Here, we adapted Plant STARR-seq, a massively parallel reporter assay, to measure the activity of over 50,000 terminators from the plants Arabidopsis thaliana and Zea mays. We characterize thousands of plant terminators, including many that outperform bacterial terminators commonly used in plants. Terminator activity is species-specific, differing in tobacco leaf and maize protoplast assays. While recapitulating known biology, our results reveal the relative contributions of polyadenylation motifs to terminator strength. We built a computational model to predict terminator strength and used it to conduct in silico evolution that generated optimized synthetic terminators. Additionally, we discover alternative polyadenylation sites across tens of thousands of terminators; however, the strongest terminators tend to have a dominant cleavage site. Our results establish features of plant terminator function and identify strong naturally occurring and synthetic terminators.

Indexed as

ArabidopsisPolyadenylationZea maysGene Expression Regulation, PlantNicotianaRNA, MessengerTerminator Regions, GeneticRNA, Messenger

Identifiers

PMID38997252
PMCPMC11245536

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.