Evidence map›Paper›PMID 31328026›Full record

ArticlePeerJ2019

Exploring regulatory networks in plants: transcription factors of starch metabolism.

Cristal López-González, Sheila Juárez-Colunga, Norma Cecilia Morales-Elías, Axel Tiessen

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
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  6. Article
  7. Article
  8. Review
  9. Down-Regulation of Rice Glutelin byInternational journal of molecular sciences · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Analysis of Global Gene Expression in Maize (Plants (Basel, Switzerland) · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Regulators of Starch Biosynthesis in Cereal Crops.Molecules (Basel, Switzerland) · 2021
    Review
  19. Review
  20. Review
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

4 authors.

Cristal López-GonzálezDepartamento de Ingeniería Genética, CINVESTAV Unidad Irapuato, Irapuato, México.ORCID 0000-0002-8539-6643
Sheila Juárez-ColungaDepartamento de Ingeniería Genética, CINVESTAV Unidad Irapuato, Irapuato, México.
Norma Cecilia Morales-ElíasDepartamento de Ingeniería Genética, CINVESTAV Unidad Irapuato, Irapuato, México.
Axel TiessenDepartamento de Ingeniería Genética, CINVESTAV Unidad Irapuato, Irapuato, México.ORCID 0000-0001-5572-4274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological networks are complex (non-linear), redundant (cyclic) and compartmentalized at the subcellular level. Rational manipulation of plant metabolism may have failed due to inherent difficulties of a comprehensive understanding of regulatory loops. We first need to identify key factors controlling the regulatory loops of primary metabolism. The paradigms of plant networks are revised in order to highlight the differences between metabolic and transcriptional networks. Comparison between animal and plant transcription factors (TFs) reveal some important differences. Plant transcriptional networks function at a lower hierarchy compared to animal regulatory networks. Plant genomes contain more TFs than animal genomes, but plant proteins are smaller and have less domains as animal proteins which are often multifunctional. We briefly summarize mutant analysis and co-expression results pinpointing some TFs regulating starch enzymes in plants. Detailed information is provided about biochemical reactions, TFs and cis regulatory motifs involved in sucrose-starch metabolism, in both source and sink tissues. Examples about coordinated responses to hormones and environmental cues in different tissues and species are listed. Further advancements require combined data from single-cell transcriptomic and metabolomic approaches. Cell fractionation and subcellular inspection may provide valuable insights. We propose that shuffling of promoter elements might be a promising strategy to improve in the near future starch content, crop yield or food quality.

Indexed as

Biological networksNetwork hierarchiesRegulatory loopsSink-sourceSubcellularSucrose-starchTranscriptional regulation

Identifiers

PMID31328026
PMCPMC6625501
OpenAlexW2956814109

What OpenQuestion 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 OpenQuestion graph.