Evidence map›Paper›PMID 37280596›Full record

ArticleBMC biology2023

Snakes on a plain: biotic and abiotic factors determine venom compositional variation in a wide-ranging generalist rattlesnake.

Cara F Smith, Zachary L Nikolakis, Kathleen Ivey, Blair W Perry, Drew R Schield, Neil R Balchan, Joshua Parker, Kirk C Hansen, Anthony J Saviola, Todd A Castoe and 1 more

Abstract read
In one paragraph

Article in BMC biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Frontiers in pharmacology · 2026
    Article
  10. Review
  11. Journal of proteome research · 2025
    Article
  12. Article
  13. Molecules (Basel, Switzerland) · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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.

Cara F SmithDepartment of Biological Sciences, University of Northern Colorado, 501 20th Street, Greeley, CO, 80639, USA.
Zachary L NikolakisDepartment of Biology, University of Texas at Arlington, 501 S. Nedderman Drive, Arlington, TX, 76019, USA.
Kathleen IveyDepartment of Biology, University of Texas at Arlington, 501 S. Nedderman Drive, Arlington, TX, 76019, USA.
Blair W PerryDepartment of Biology, University of Texas at Arlington, 501 S. Nedderman Drive, Arlington, TX, 76019, USA.
Drew R SchieldDepartment of Biology, University of Texas at Arlington, 501 S. Nedderman Drive, Arlington, TX, 76019, USA.
Neil R BalchanDepartment of Biological Sciences, University of Northern Colorado, 501 20th Street, Greeley, CO, 80639, USA.
Joshua ParkerFresno City College, 1101 E. University Avenue, Fresno, CA, 93741, USA.
Kirk C HansenDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver, 12801 East 17th Avenue, Aurora, CO, 80045, USA.
Anthony J SaviolaDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver, 12801 East 17th Avenue, Aurora, CO, 80045, USA.
Todd A CastoeDepartment of Biology, University of Texas at Arlington, 501 S. Nedderman Drive, Arlington, TX, 76019, USA.
Stephen P MackessyDepartment of Biological Sciences, University of Northern Colorado, 501 20th Street, Greeley, CO, 80639, USA. stephen.mackessy@unco.edu.ORCID 0000-0003-4515-2545

Funding

Quadrupole-Orbitrap Mass SpectrometerS10OD021641 · OD · UNIVERSITY OF COLORADO DENVER · PI HANSEN, KIRK C · 2017 to 2017
$600k
NIH HHS S10 OD021641
6 · The paper itself

Abstract

backgroundSnake venoms are trophic adaptations that represent an ideal model to examine the evolutionary factors that shape polymorphic traits under strong natural selection. Venom compositional variation is substantial within and among venomous snake species. However, the forces shaping this phenotypic complexity, as well as the potential integrated roles of biotic and abiotic factors, have received little attention. Here, we investigate geographic variation in venom composition in a wide-ranging rattlesnake (Crotalus viridis viridis) and contextualize this variation by investigating dietary, phylogenetic, and environmental variables that covary with venom.

resultsUsing shotgun proteomics, venom biochemical profiling, and lethality assays, we identify 2 distinct divergent phenotypes that characterize major axes of venom variation in this species: a myotoxin-rich phenotype and a snake venom metalloprotease (SVMP)-rich phenotype. We find that dietary availability and temperature-related abiotic factors are correlated with geographic trends in venom composition.

conclusionsOur findings highlight the potential for snake venoms to vary extensively within species, for this variation to be driven by biotic and abiotic factors, and for the importance of integrating biotic and abiotic variation for understanding complex trait evolution. Links between venom variation and variation in biotic and abiotic factors indicate that venom variation likely results from substantial geographic variation in selection regimes that determine the efficacy of venom phenotypes across populations and snake species. Our results highlight the cascading influence of abiotic factors on biotic factors that ultimately shape venom phenotype, providing evidence for a central role of local selection as a key driver of venom variation.

Indexed as

Crotalid VenomsCrotalusAnimalsPhenotypePhylogenySnake VenomsCrotalid VenomsSnake VenomsAdaptive traitDietPhenotypic variationProteomicsToxins

Identifiers

PMID37280596
PMCPMC10246093

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.