4.4 Article

Functional characterizations of venom phenotypes in the eastern diamondback rattlesnake (Crotalus adamanteus) and evidence for expression-driven divergence in toxic activities among populations

Journal

TOXICON
Volume 119, Issue -, Pages 28-38

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.toxicon.2016.05.005

Keywords

Venom; Toxic activities; Expression variation

Funding

  1. National Science Foundation [DEB 1145987]
  2. Department of Biological Science at Florida State University
  3. National Institutes of Health/ORIP [5P40OD010960]
  4. Robert A. Welch Foundation [AC-0006]
  5. Direct For Biological Sciences
  6. Division Of Environmental Biology [1145978] Funding Source: National Science Foundation

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Phenotypes frequently vary across and within species. The connection between specific phenotypic effects and function, however, is less understood despite being essential to our understanding of the adaptive process. Snake venoms are ideal for identifying functionally important phenotypic variation because venom variation is common, and venoms can be functionally characterized through simple assays and toxicity measurements. Previous work with the eastern diamondback rattlesnake (Crotalus adamanteus) used multivariate statistical approaches to identify six unique venom phenotypes. We functionally characterized hemolytic, gelatinase, fibrinogenolytic, and coagulant activity for all six phenotypes, as well as one additional venom, to determine if the statistically significant differences in toxin expression levels previously documented corresponded to differences in venom activity. In general, statistical differences in toxin expression predicted the identified functional differences, or lack thereof, in toxic activity, demonstrating that the statistical approach used to characterize C. adamanteus venoms was a fair representation of biologically meaningful differences. Minor differences in activity not accounted for by the statistical model may be the result of amino-acid differences and/or post translational modifications, but overall we were able to link variation in protein expression levels to variation in function as predicted by multivariate statistical approaches. (C) 2016 Elsevier Ltd. All rights reserved.

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