Evidence map›Paper›PMID 40538067›Full record

ReviewThe New phytologist2025

Mechanisms driving functional divergence of transcription factor paralogs.

Isabella J Higgins, Sarah G Choudury, Aman Y Husbands

Abstract readReview
In one paragraph

Review in The New phytologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A synthetic ERFVII-dependent circuit in yeast sheds light on the regulation of early hypoxic responses of plants.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Review
  6. Article
  7. 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

3 authors.

Isabella J HigginsDepartment of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID https://orcid.org/0009-0003-5770-8739
Sarah G ChouduryDepartment of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID https://orcid.org/0000-0003-2564-434X
Aman Y HusbandsDepartment of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID https://orcid.org/0000-0003-4580-1779

Funding

Mechanisms driving complex reproducible outcomesR35GM158110 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Aman Yebio Husbands · 2025 to 2026
$813k
Division of Integrative Organismal Systems 2039489Division of Integrative Organismal Systems 2310356NIGMS NIH HHS R35 GM158110NIH HHS 1R35GM158110
6 · The paper itself

Abstract

Transcription factors (TFs) are core components of the regulatory toolkits that control gene expression. The sophistication of these regulatory toolkits dramatically increased during Eukaryotic evolution, accomplished in part by the duplication of existing TFs and the subsequent repurposing of these new paralogs. This process, termed functional divergence, drove the evolution of increasingly elaborate programs of gene expression and, in turn, cellular and organismal complexity. Mechanisms generating functional divergence of TF paralogs are thus of significant interest. Here, we review the numerous mechanisms that can lead to divergence of TF paralogs, drawing on studies from across Eukaryota but with a special emphasis on the plant kingdom. We end by placing these mechanisms back into a broader evolutionary context.

Indexed as

Evolution, MolecularTranscription FactorsGene DuplicationGene Expression Regulation, PlantPlantsTranscription FactorsantifunctionalizationcooperativityDNA‐binding affinityevolutionfunctional divergenceparalogsshared binding sitestranscription factors

Identifiers

PMID40538067
PMCPMC12329180

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.