Evidence map›Paper›PMID 31852726›Full record

ArticleGenetics2020

Epistatic Transcription Factor Networks Differentially Modulate

Baohua Li, Michelle Tang, Céline Caseys, Ayla Nelson, Marium Zhou, Xue Zhou, Siobhan M Brady, Daniel J Kliebenstein

Abstract read
In one paragraph

Article in Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. International journal of molecular sciences · 2025
    Article
  2. Article
  3. Article
  4. Transcriptional activation ofFrontiers in plant science · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

8 authors.

Baohua Li *Department of Plant Sciences, University of California, Davis, California 95616.ORCID 0000-0001-7235-0470
Michelle Tang *Department of Plant Sciences, University of California, Davis, California 95616.ORCID 0000-0002-8779-8697
Céline Caseys *Department of Plant Sciences, University of California, Davis, California 95616.ORCID 0000-0003-4187-9018
Ayla NelsonDepartment of Plant Sciences, University of California, Davis, California 95616.
Marium ZhouDepartment of Plant Sciences, University of California, Davis, California 95616.
Xue ZhouDepartment of Plant Sciences, University of California, Davis, California 95616.ORCID 0000-0002-2586-0264
Siobhan M BradyDepartment of Plant Biology and Genome Center, University of California, Davis, California 95616.ORCID 0000-0001-9424-8055
Daniel J KliebensteinDepartment of Plant Sciences, University of California, Davis, California 95616 Kliebenstein@ucdavis.edu.ORCID 0000-0001-5759-3175

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Plants integrate internal and external signals to finely coordinate growth and defense for maximal fitness within a complex environment. A common model suggests that growth and defense show a trade-offs relationship driven by energy costs. However, recent studies suggest that the coordination of growth and defense likely involves more conditional and intricate connections than implied by the trade-off model. To explore how a transcription factor (TF) network may coordinate growth and defense, we used a high-throughput phenotyping approach to measure growth and flowering in a set of single and pairwise mutants previously linked to the aliphatic glucosinolate (GLS) defense pathway. Supporting a link between growth and defense, 17 of the 20 tested defense-associated TFs significantly influenced plant growth and/or flowering time. The TFs' effects were conditional upon the environment and age of the plant, and more critically varied across the growth and defense phenotypes for a given genotype. In support of the coordination model of growth and defense, the TF mutant's effects on short-chain aliphatic GLS and growth did not display a simple correlation. We propose that large TF networks integrate internal and external signals and separately modulate growth and the accumulation of the defensive aliphatic GLS.

Indexed as

ArabidopsisArabidopsis ProteinsEpistasis, GeneticFatty AcidsGene Expression Regulation, PlantGenotypeGlucosinolatesMutationPhenotypeTranscription FactorsArabidopsis ProteinsFatty AcidsGlucosinolatesTranscription Factorsepistasisglucosinolatesplant defenseplant growthtranscription factor

Identifiers

PMID31852726
PMCPMC7017016

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.