Evidence map›Paper›PMID 35344632›Full record

ArticleJournal of experimental zoology. Part B, Molecular and developmental evolution2023

The GRN concept as a guide for evolutionary developmental biology.

Charles Feigin, Sha Li, Jorge Moreno, Ricardo Mallarino

Abstract read
In one paragraph

Article in Journal of experimental zoology. Part B, Molecular and developmental evolution, 2023. 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. An Increase in Animal Diversity was Facilitated by Ecologically-Driven Brain Complexity Throughout the Cambrian.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  3. Evolutionary Bioinformatics Expands its Breadth.Evolutionary bioinformatics online · 2026
    Article
  4. Review
  5. Review
  6. Review
  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

4 authors.

Charles FeiginDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, USA.ORCID 0000-0003-4981-5254
Sha LiDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, USA.
Jorge MorenoDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, USA.
Ricardo MallarinoDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, USA.ORCID 0000-0002-8971-4864

Funding

Using naturally evolved phenotypic variation to decipher the positional regulatory code of mammalian skinR35GM133758 · NIGMS · PRINCETON UNIVERSITY · PI Ricardo Mallarino · 2019 to 2026
$3.0M
How to build a gliding mammal: Using natural phenotypic variation to define the molecular regulation of tissue morphogenesisF32GM139240 · NIGMS · PRINCETON UNIVERSITY · PI FEIGIN, CHARLES YAKOV · 2020 to 2022
$100k
NIGMS NIH HHS F32 GM139240NIGMS NIH HHS R35 GM133758
6 · The paper itself

Abstract

Organismal phenotypes result largely from inherited developmental programs, usually executed during embryonic and juvenile life stages. These programs are not blank slates onto which natural selection can draw arbitrary forms. Rather, the mechanisms of development play an integral role in shaping phenotypic diversity and help determine the evolutionary trajectories of species. Modern evolutionary biology must, therefore, account for these mechanisms in both theory and in practice. The gene regulatory network (GRN) concept represents a potent tool for achieving this goal whose utility has grown in tandem with advances in "omic" technologies and experimental techniques. However, while the GRN concept is widely utilized, it is often less clear what practical implications it has for conducting research in evolutionary developmental biology. In this Perspective, we attempt to provide clarity by discussing how experiments and projects can be designed in light of the GRN concept. We first map familiar biological notions onto the more abstract components of GRN models. We then review how diverse functional genomic approaches can be directed toward the goal of constructing such models and discuss current methods for functionally testing evolutionary hypotheses that arise from them. Finally, we show how the major steps of GRN model construction and experimental validation suggest generalizable workflows that can serve as a scaffold for project design. Taken together, the practical implications that we draw from the GRN concept provide a set of guideposts for studies aiming at unraveling the molecular basis of phenotypic diversity.

Indexed as

Biological EvolutionGene Regulatory NetworksAnimalsDevelopmental BiologyGenomicsPhenotypecis-regulatory elementCRISPRevolutionary developmental biologygene expressiongene regulatory networks

Identifiers

PMID35344632
PMCPMC9515236

What Socratic holds

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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 Socratic graph.