2018
DOI: 10.1038/s41598-018-35810-9
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Evidence for divergent patterns of local selection driving venom variation in Mojave Rattlesnakes (Crotalus scutulatus)

Abstract: Snake venoms represent an enriched system for investigating the evolutionary processes that lead to complex and dynamic trophic adaptations. It has long been hypothesized that natural selection may drive geographic variation in venom composition, yet previous studies have lacked the population genetic context to examine these patterns. We leverage range-wide sampling of Mojave Rattlesnakes (Crotalus scutulatus) and use a combination of venom, morphological, phylogenetic, population genetic, and environmental d… Show more

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Cited by 50 publications
(59 citation statements)
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“…Our climatic niche modelling suggests a past range fragmentation into western Sonoran (AZW) and eastern Madrean (AZE) refuges ( figure 2b). Both TESS and sPCA detected a genetic discontinuity with extensive admixture corresponding to the boundaries between the Sonoran and Madrean ecoregions ( figure 2b) [22,47]. Since the two genetic clusters did not predict the distribution of venom types (figure 2a; electronic supplementary material, table S8), we further assessed the relationship between venom composition and genetic structure by grouping the samples geographically into localities (figure 1b) and calculating venom distance matrices and toxin gene frequencies.…”
Section: (B) Venom Variation Is Not Associated With Population Genetimentioning
confidence: 99%
“…Our climatic niche modelling suggests a past range fragmentation into western Sonoran (AZW) and eastern Madrean (AZE) refuges ( figure 2b). Both TESS and sPCA detected a genetic discontinuity with extensive admixture corresponding to the boundaries between the Sonoran and Madrean ecoregions ( figure 2b) [22,47]. Since the two genetic clusters did not predict the distribution of venom types (figure 2a; electronic supplementary material, table S8), we further assessed the relationship between venom composition and genetic structure by grouping the samples geographically into localities (figure 1b) and calculating venom distance matrices and toxin gene frequencies.…”
Section: (B) Venom Variation Is Not Associated With Population Genetimentioning
confidence: 99%
“…There could be several explanations to the observed plasticity. First, venom toxins could be directly influenced by environmental variables, as previously reported in predatory venoms, where protein levels have been shown to vary depending on temperature and seasonality [15,19,20,22,42]. A particular shift in an environmental factor may also alter the microhabitat of the bumblebee, and local adaption may affect venom composition [16].…”
Section: Discussionmentioning
confidence: 94%
“…A classic example of venom polymorphism in geographically distinct populations is the presence or absence of neurotoxic phospholipase A 2 in Mojave Rattlesnakes ( Crotalus scutulatus ) across the Sonoran Desert of the southwestern United States and northern Mexico. The absence of the phospholipase confers a less potent hemorrhagic venom phenotype, resulting in local and differential selection for a greater proportion of mammals over lizard prey items (Strickland et al, ). A previous study that compared the toxicological characteristics of cnidarians, however, concurred with our results.…”
Section: Discussionmentioning
confidence: 99%
“…Adapting toxin composition to accommodate these changes has been extensively documented in prominent venomous bilaterians. For example, variability in snake venom toxins has been associated with geographical distribution (Alape‐Girón et al, ) and their ecological conditions (Strickland et al, ), but are most widely attributed with their ability to capture, consume, and digest a wide variety of different prey types (Daltry, Wüster, & Thorpe, ; Gibbs & Mackessy, ). Likewise, geographical variations in venom toxin composition have been documented in some scorpions, spiders, and species of cone snails, which has been linked also to changes in habitat or diet (Abdel‐Rahman, Omran, Abdel‐Nabi, Ueda, & McVean, ; Duda, Chang, Lewis, & Lee, ; Pekár, Petráková, Šedo, Korenko, & Zdráhal, ).…”
Section: Introductionmentioning
confidence: 99%