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Toxin structures as evolutionary tools: Using conserved 3D folds to study the evolution of rapidly evolving peptides
Author(s) -
Undheim Eivind A. B.,
Mobli Mehdi,
King Glenn F.
Publication year - 2016
Publication title -
bioessays
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.175
H-Index - 184
eISSN - 1521-1878
pISSN - 0265-9247
DOI - 10.1002/bies.201500165
Subject(s) - molecular evolution , biology , evolutionary biology , computational biology , conserved sequence , construct (python library) , sequence (biology) , peptide sequence , phylogenetics , genetics , gene , computer science , programming language
Three‐dimensional (3D) structures have been used to explore the evolution of proteins for decades, yet they have rarely been utilized to study the molecular evolution of peptides. Here, we highlight areas in which 3D structures can be particularly useful for studying the molecular evolution of peptide toxins. Although we focus our discussion on animal toxins, including one of the most widespread disulfide‐rich peptide folds known, the inhibitor cystine knot, our conclusions should be widely applicable to studies of the evolution of disulfide‐constrained peptides. We show that conserved 3D folds can be used to identify evolutionary links and test hypotheses regarding the evolutionary origin of peptides with extremely low sequence identity; construct accurate multiple sequence alignments; and better understand the evolutionary forces that drive the molecular evolution of peptides. Also watch the video abstract