Evidence map›Paper›PMID 34816587›Full record

ArticleMolecular systems biology2021

A genome-scale TF-DNA interaction network of transcriptional regulation of Arabidopsis primary and specialized metabolism.

Michelle Tang, Baohua Li, Xue Zhou, Tayah Bolt, Jia Jie Li, Neiman Cruz, Allison Gaudinier, Richard Ngo, Caitlin Clark-Wiest, Daniel J Kliebenstein and 1 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Transcription factor-promoter interactions forbioRxiv : the preprint server for biology · 2025
    Article
  3. Transcription Factors in Plant Gene Expression Regulation.International journal of molecular sciences · 2025
    Article
  4. Review
  5. International journal of molecular sciences · 2025
    Article
  6. Article
  7. Review
  8. Transcriptional activation ofFrontiers in plant science · 2025
    Article
  9. Evolutionary trajectory of transcription factors and selection of targets for metabolic engineering.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  10. Evolution of the biochemistry underpinning purine alkaloid metabolism in plants.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  11. Article
  12. Article
  13. The Putative GATA Transcription FactorLife (Basel, Switzerland) · 2024
    Article
  14. Plant biochemical genetics in the multiomics era.Journal of experimental botany · 2023
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors.

Michelle TangDepartment of Plant Biology and Genome Center, University of California, Davis, Davis, CA, USA.ORCID 0000-0002-8779-8697
Baohua LiDepartment of Plant Sciences, University of California, Davis, Davis, CA, USA.ORCID 0000-0001-7235-0470
Xue ZhouDepartment of Plant Sciences, University of California, Davis, Davis, CA, USA.
Tayah BoltDepartment of Plant Sciences, University of California, Davis, Davis, CA, USA.
Jia Jie LiDepartment of Plant Sciences, University of California, Davis, Davis, CA, USA.
Neiman CruzDepartment of Plant Biology and Genome Center, University of California, Davis, Davis, CA, USA.
Allison GaudinierDepartment of Plant Biology and Genome Center, University of California, Davis, Davis, CA, USA.
Richard NgoDepartment of Plant Biology and Genome Center, University of California, Davis, Davis, CA, USA.
Caitlin Clark-WiestDepartment of Plant Biology and Genome Center, University of California, Davis, Davis, CA, USA.
Daniel J KliebensteinDepartment of Plant Sciences, University of California, Davis, Davis, CA, USA.ORCID 0000-0001-5759-3175
Siobhan M BradyDepartment of Plant Biology and Genome Center, University of California, Davis, Davis, CA, USA.ORCID 0000-0001-9424-8055

Funding

Howard Hughes Medical Institute (HHMI) 55108506
6 · The paper itself

Abstract

Plant metabolism is more complex relative to individual microbes. In single-celled microbes, transcriptional regulation by single transcription factors (TFs) is sufficient to shift primary metabolism. Corresponding genome-level transcriptional regulatory maps of metabolism reveal the underlying design principles responsible for these shifts as a model in which master regulators largely coordinate specific metabolic pathways. Plant primary and specialized metabolism occur within innumerable cell types, and their reactions shift depending on internal and external cues. Given the importance of plants and their metabolites in providing humanity with food, fiber, and medicine, we set out to develop a genome-scale transcriptional regulatory map of Arabidopsis metabolic genes. A comprehensive set of protein-DNA interactions between Arabidopsis thaliana TFs and gene promoters in primary and specialized metabolic pathways were mapped. To demonstrate the utility of this resource, we identified and functionally validated regulators of the tricarboxylic acid (TCA) cycle. The resulting network suggests that plant metabolic design principles are distinct from those of microbes. Instead, metabolism appears to be transcriptionally coordinated via developmental- and stress-conditional processes that can coordinate across primary and specialized metabolism. These data represent the most comprehensive resource of interactions between TFs and metabolic genes in plants.

Indexed as

ArabidopsisArabidopsis ProteinsDNAGene Expression RegulationGene Expression Regulation, PlantGene Regulatory NetworksTranscription FactorsArabidopsis ProteinsDNATranscription FactorsCCPs central carbon promotersGSL glucosinolateTF transcription factorY1H yeast one-hybrid

Identifiers

PMID34816587
PMCPMC8611409

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Registered trials

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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.