Evidence map›Paper›PMID 29317470›Full record

ArticleThe Plant cell2018

Network-Guided Discovery of Extensive Epistasis between Transcription Factors Involved in Aliphatic Glucosinolate Biosynthesis.

Baohua Li, Michelle Tang, Ayla Nelson, Hart Caligagan, Xue Zhou, Caitlin Clark-Wiest, Richard Ngo, Siobhan M Brady, Daniel J Kliebenstein

Open access · bronzeAbstract read
In one paragraph

Article in The Plant cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Impacts of Sulfur on Glucosinolate Metabolism: FromPlants (Basel, Switzerland) · 2025
    Review
  4. Article
  5. International journal of molecular sciences · 2025
    Article
  6. Article
  7. Transcriptional activation ofFrontiers in plant science · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Identification andFrontiers in plant science · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Network-based approaches for understanding gene regulation and function in plants.The Plant journal : for cell and molecular biology · 2020
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Baohua LiDepartment of Plant Sciences, University of California, Davis, Davis, California 95616.ORCID 0000-0001-7235-0470
Michelle TangDepartment of Plant Sciences, University of California, Davis, Davis, California 95616.
Ayla NelsonDepartment of Plant Sciences, University of California, Davis, Davis, California 95616.
Hart CaligaganDepartment of Plant Sciences, University of California, Davis, Davis, California 95616.
Xue ZhouDepartment of Plant Sciences, University of California, Davis, Davis, California 95616.
Caitlin Clark-WiestDepartment of Plant Sciences, University of California, Davis, Davis, California 95616.
Richard NgoDepartment of Plant Sciences, University of California, Davis, Davis, California 95616.
Siobhan M BradyDepartment of Plant Biology and Genome Center, University of California, Davis, Davis, California 95616.ORCID 0000-0001-9424-8055
Daniel J KliebensteinDepartment of Plant Sciences, University of California, Davis, Davis, California 95616 kliebenstein@ucdavis.edu.ORCID 0000-0001-5759-3175
University of California, Davis · USUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants use diverse mechanisms influenced by vast regulatory networks of indefinite scale to adapt to their environment. These regulatory networks have an unknown potential for epistasis between genes within and across networks. To test for epistasis within an adaptive trait genetic network, we generated and tested 47

Indexed as

Epistasis, GeneticGene Regulatory NetworksBiosynthetic PathwaysGene Expression Regulation, PlantGenotypeGlucosinolatesModels, GeneticMutationRepressor ProteinsRNA, MessengerTranscription FactorsGlucosinolatesRepressor ProteinsRNA, MessengerTranscription Factors

Identifiers

PMID29317470
PMCPMC5810574
OpenAlexW2782835008

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.