Evidence map›Paper›PMID 39255072›Full record

ArticleGenome biology and evolution2024

Where the "ruber" Meets the Road: Using the Genome of the Red Diamond Rattlesnake to Unravel the Evolutionary Processes Driving Venom Evolution.

Samuel R Hirst, Rhett M Rautsaw, Cameron M VanHorn, Marc A Beer, Preston J McDonald, Ramsés Alejandro Rosales García, Bruno Rodriguez Lopez, Alexandra Rubio Rincón, Hector Franz Chávez, Víctor Vásquez-Cruz and 8 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. Article
  3. 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

18 authors.

Samuel R HirstDepartment of Integrative Biology, University of South Florida, Tampa, FL, USA.ORCID 0000-0002-3172-5210
Rhett M RautsawDepartment of Integrative Biology, University of South Florida, Tampa, FL, USA.ORCID 0000-0002-8229-5951
Cameron M VanHornDepartment of Integrative Biology, University of South Florida, Tampa, FL, USA.ORCID 0009-0009-9244-8518
Marc A BeerSchool of Biological Sciences, Washington State University, Pullman, WA, USA.ORCID 0000-0003-1374-0705
Preston J McDonaldDepartment of Integrative Biology, University of South Florida, Tampa, FL, USA.ORCID 0000-0002-7153-4611
Ramsés Alejandro Rosales GarcíaBiological Sciences Department, Clemson University, Clemson, SC, USA.ORCID 0000-0002-0110-435X
Bruno Rodriguez LopezFacultad de Ciencias Biológicas, Universidad Juárez del Estado de Durango, Durango, Mexico.ORCID 0009-0007-9047-3408
Alexandra Rubio RincónFacultad de Ciencias Biológicas, Universidad Juárez del Estado de Durango, Durango, Mexico.ORCID 0009-0002-2496-697X
Hector Franz ChávezHerp.MX©, Colima, Mexico.ORCID 0009-0000-5889-763X
Víctor Vásquez-CruzFacultad de Ciencias Biológicas y Agropecuarias, Universidad Veracruzana, Veracruz, Mexico.ORCID 0000-0001-5446-1855
Alfonso Kelly HernándezPIMVS Herpetario Palancoatl, Veracruz, Mexico.ORCID 0009-0006-8850-0406
Andrew StorferSchool of Biological Sciences, Washington State University, Pullman, WA, USA.ORCID 0000-0002-9414-8588
Miguel BorjaFacultad de Ciencias Biológicas, Universidad Juárez del Estado de Durango, Durango, Mexico.ORCID 0000-0003-4098-7279
Gamaliel Castañeda-GaytánFacultad de Ciencias Biológicas, Universidad Juárez del Estado de Durango, Durango, Mexico.ORCID 0000-0002-1896-0937
Paul B FrandsenDepartment of Plant and Wildlife Sciences, Brigham Young University, Provo, UT, USA.ORCID 0000-0002-4801-7579
Christopher L ParkinsonBiological Sciences Department, Clemson University, Clemson, SC, USA.ORCID 0000-0002-2020-6992
Jason L StricklandDepartment of Biology, University of South Alabama, Mobile, AL, USA.ORCID 0000-0002-1927-7259
Mark J MargresDepartment of Integrative Biology, University of South Florida, Tampa, FL, USA.ORCID 0000-0002-6153-6701

Funding

American Museum of Natural HistoryBrigham Young UniversityDEB 1638879National Geographic Society NGS-91224R-21National Science Foundation 2136515University of South AlabamaUniversity of South Florida
6 · The paper itself

Abstract

Understanding the proximate and ultimate causes of phenotypic variation is fundamental in evolutionary research, as such variation provides the substrate for selection to act upon. Although trait variation can arise due to selection, the importance of neutral processes is sometimes understudied. We presented the first reference-quality genome of the Red Diamond Rattlesnake (Crotalus ruber) and used range-wide 'omic data to estimate the degree to which neutral and adaptive evolutionary processes shaped venom evolution. We characterized population structure and found substantial genetic differentiation across two populations, each with distinct demographic histories. We identified significant differentiation in venom expression across age classes with substantially reduced but discernible differentiation across populations. We then used conditional redundancy analysis to test whether venom expression variation was best predicted by neutral divergence patterns or geographically variable (a)biotic factors. Snake size was the most significant predictor of venom variation, with environment, prey availability, and neutral sequence variation also identified as significant factors, though to a lesser degree. By directly including neutrality in the model, our results confidently highlight the predominant, yet not singular, role of life history in shaping venom evolution.

Indexed as

Crotalid VenomsCrotalusEvolution, MolecularAnimalsBiological EvolutionGenetic VariationGenomeSelection, GeneticVenomous SnakesCrotalid Venomsontogenypopulation genomicstranscriptomicsvenom

Identifiers

PMID39255072
PMCPMC11440179

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Registered trials

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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.