Evidence map›Paper›PMID 38753011›Full record

ArticleGenome biology and evolution2024

Diverse Gene Regulatory Mechanisms Alter Rattlesnake Venom Gene Expression at Fine Evolutionary Scales.

Siddharth S Gopalan, Blair W Perry, Yannick Z Francioli, Drew R Schield, Hannah D Guss, Justin M Bernstein, Kaas Ballard, Cara F Smith, Anthony J Saviola, Richard H Adams and 2 more

Abstract read
In one paragraph

Article in Genome biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Evolution of genome-wide barriers to gene flow during complex speciation in rattlesnakes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. 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

12 authors.

Siddharth S GopalanDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.
Blair W PerryDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.
Yannick Z FrancioliDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.
Drew R SchieldDepartment of Biology, University of Virginia, Charlottesville, VA 22903, USA.
Hannah D GussDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.
Justin M BernsteinDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.
Kaas BallardDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.
Cara F SmithDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver, Aurora, CO 80045, USA.
Anthony J SaviolaDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver, Aurora, CO 80045, USA.
Richard H AdamsDepartment of Entomology and Plant Pathology, University of Arkansas Agricultural Experimental Station, University of Arkansas, Fayetteville, AR 72701, USA.
Stephen P MackessyDepartment of Biological Sciences, University of Northern Colorado, Greeley, CO 80639, USA.
Todd A CastoeDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding and predicting the relationships between genotype and phenotype is often challenging, largely due to the complex nature of eukaryotic gene regulation. A step towards this goal is to map how phenotypic diversity evolves through genomic changes that modify gene regulatory interactions. Using the Prairie Rattlesnake (Crotalus viridis) and related species, we integrate mRNA-seq, proteomic, ATAC-seq and whole-genome resequencing data to understand how specific evolutionary modifications to gene regulatory network components produce differences in venom gene expression. Through comparisons within and between species, we find a remarkably high degree of gene expression and regulatory network variation across even a shallow level of evolutionary divergence. We use these data to test hypotheses about the roles of specific trans-factors and cis-regulatory elements, how these roles may vary across venom genes and gene families, and how variation in regulatory systems drive diversity in venom phenotypes. Our results illustrate that differences in chromatin and genotype at regulatory elements play major roles in modulating expression. However, we also find that enhancer deletions, differences in transcription factor expression, and variation in activity of the insulator protein CTCF also likely impact venom phenotypes. Our findings provide insight into the diversity and gene-specificity of gene regulatory features and highlight the value of comparative studies to link gene regulatory network variation to phenotypic variation.

Indexed as

Crotalid VenomsCrotalusEvolution, MolecularAnimalsGene Expression RegulationGene Regulatory NetworksCrotalid VenomsATAC-seqchromatincis-regulatory elementCTCFenhancergene regulatory networks

Identifiers

PMID38753011
PMCPMC11243404

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.