TY - JOUR
T1 - Population genomic analysis of a pitviper reveals microevolutionary forces underlying venom chemistry
AU - Aird, Steven D.
AU - Arora, Jigyasa
AU - Barua, Agneesh
AU - Qiu, Lijun
AU - Terada, Kouki
AU - Mikheyev, Alexander S.
N1 - Publisher Copyright:
© The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.
PY - 2017/10/1
Y1 - 2017/10/1
N2 - Venoms are among the most biologically active secretions known, and are commonly believed to evolve under extreme positive selection.Many venom gene families, however, have undergone duplication, and are often deployed in doses vastly exceeding the LD50 for most prey species, which should reduce the strength of positive selection. Here, we contrast these selective regimes using snake venoms, which consist of rapidly evolving protein formulations. Though decades of extensive studies have found that snake venom proteins are subject to strong positive selection, the greater action of drift has been hypothesized, but never tested. Using a combinationofdenovogenomesequencing,populationgenomics, transcriptomics,andproteomics,we compare thetwomodesof evolution in the pitviper, Protobothrops mucrosquamatus. By partitioning selective constraints and adaptive evolution in a McDonald-Kreitman-type framework, we find support for both hypotheses: venom proteins indeed experience both stronger positive selection, and lower selective constraint than other genes in the genome. Furthermore, the strength of selection may be modulated by expression level,with more abundant proteins experiencingweaker selective constraint, leading to the accumulation of more deleterious mutations. These findings show that snake venoms evolve by a combination of adaptive and neutral mechanisms, both ofwhich explain their extraordinarily high rates of molecular evolution. In addition to positive selection,which optimizes efficacy of the venom in the short term, relaxed selective constraints for deleterious mutations can lead to more rapid turnover of individual proteins, and potentially to exploration of a larger venom phenotypic space.
AB - Venoms are among the most biologically active secretions known, and are commonly believed to evolve under extreme positive selection.Many venom gene families, however, have undergone duplication, and are often deployed in doses vastly exceeding the LD50 for most prey species, which should reduce the strength of positive selection. Here, we contrast these selective regimes using snake venoms, which consist of rapidly evolving protein formulations. Though decades of extensive studies have found that snake venom proteins are subject to strong positive selection, the greater action of drift has been hypothesized, but never tested. Using a combinationofdenovogenomesequencing,populationgenomics, transcriptomics,andproteomics,we compare thetwomodesof evolution in the pitviper, Protobothrops mucrosquamatus. By partitioning selective constraints and adaptive evolution in a McDonald-Kreitman-type framework, we find support for both hypotheses: venom proteins indeed experience both stronger positive selection, and lower selective constraint than other genes in the genome. Furthermore, the strength of selection may be modulated by expression level,with more abundant proteins experiencingweaker selective constraint, leading to the accumulation of more deleterious mutations. These findings show that snake venoms evolve by a combination of adaptive and neutral mechanisms, both ofwhich explain their extraordinarily high rates of molecular evolution. In addition to positive selection,which optimizes efficacy of the venom in the short term, relaxed selective constraints for deleterious mutations can lead to more rapid turnover of individual proteins, and potentially to exploration of a larger venom phenotypic space.
KW - Genetic drift
KW - Pitvipers
KW - Population genomics
KW - Selection
KW - Venom
UR - http://www.scopus.com/inward/record.url?scp=85042163432&partnerID=8YFLogxK
U2 - 10.1093/gbe/evx199
DO - 10.1093/gbe/evx199
M3 - Article
SN - 1759-6653
VL - 9
SP - 2640
EP - 2649
JO - Genome Biology and Evolution
JF - Genome Biology and Evolution
IS - 10
ER -