Literature DB >> 11164036

Adaptive evolution of animal toxin multigene families.

D Kordis1, F Gubensek.   

Abstract

Animal toxins comprise a diverse array of proteins that have a variety of biochemical and pharmacological functions. A large number of animal toxins are encoded by multigene families. From studies of several toxin multigene families at the gene level the picture is emerging that most have been functionally diversified by gene duplication and adaptive evolution. The number of pharmacological activities in most toxin multigene families results from their adaptive evolution. The molecular evolution of animal toxins has been analysed in some multigene families, at both the intraspecies and interspecies levels. In most toxin multigene families, the rate of non-synonymous to synonymous substitutions (dN/dS) is higher than one. Thus natural selection has acted to diversify coding sequences and consequently the toxin functions. The selection pressure for the rapid adaptive evolution of animal toxins is the need for quick immobilization of the prey in classical predator and prey interactions. Currently available evidence for adaptive evolution in animal toxin multigene families will be considered in this review.

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Year:  2000        PMID: 11164036     DOI: 10.1016/s0378-1119(00)00490-x

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  77 in total

1.  Molecular evolution and phylogeny of elapid snake venom three-finger toxins.

Authors:  B G Fry; W Wüster; R M Kini; V Brusic; A Khan; D Venkataraman; A P Rooney
Journal:  J Mol Evol       Date:  2003-07       Impact factor: 2.395

2.  Adaptive evolution of scorpion sodium channel toxins.

Authors:  Shunyi Zhu; Frank Bosmans; Jan Tytgat
Journal:  J Mol Evol       Date:  2004-02       Impact factor: 2.395

3.  Bracoviruses contain a large multigene family coding for protein tyrosine phosphatases.

Authors:  Bertille Provost; Paola Varricchio; Eloisa Arana; Eric Espagne; Patrizia Falabella; Elisabeth Huguet; Raffaella La Scaleia; Laurence Cattolico; Marylène Poirié; Carla Malva; Julie A Olszewski; Francesco Pennacchio; Jean-Michel Drezen
Journal:  J Virol       Date:  2004-12       Impact factor: 5.103

4.  Macroevolution of venom apparatus innovations in auger snails (Gastropoda; Conoidea; Terebridae).

Authors:  M Castelin; N Puillandre; Yu I Kantor; M V Modica; Y Terryn; C Cruaud; P Bouchet; M Holford
Journal:  Mol Phylogenet Evol       Date:  2012-03-14       Impact factor: 4.286

Review 5.  Receptor-targeting mechanisms of pain-causing toxins: How ow?

Authors:  Christopher J Bohlen; David Julius
Journal:  Toxicon       Date:  2012-04-14       Impact factor: 3.033

6.  Snake population venomics: proteomics-based analyses of individual variation reveals significant gene regulation effects on venom protein expression in Sistrurus rattlesnakes.

Authors:  H Lisle Gibbs; Libia Sanz; Juan J Calvete
Journal:  J Mol Evol       Date:  2009-01-30       Impact factor: 2.395

7.  Coevolution of diet and prey-specific venom activity supports the role of selection in snake venom evolution.

Authors:  Axel Barlow; Catharine E Pook; Robert A Harrison; Wolfgang Wüster
Journal:  Proc Biol Sci       Date:  2009-04-01       Impact factor: 5.349

8.  A limited role for gene duplications in the evolution of platypus venom.

Authors:  Emily S W Wong; Anthony T Papenfuss; Camilla M Whittington; Wesley C Warren; Katherine Belov
Journal:  Mol Biol Evol       Date:  2011-08-03       Impact factor: 16.240

9.  Diversity, phylogenetic distribution, and origins of venomous catfishes.

Authors:  Jeremy J Wright
Journal:  BMC Evol Biol       Date:  2009-12-04       Impact factor: 3.260

10.  A family of diverse Kunitz inhibitors from Echinococcus granulosus potentially involved in host-parasite cross-talk.

Authors:  Silvia González; Martín Fló; Mariana Margenat; Rosario Durán; Gualberto González-Sapienza; Martín Graña; John Parkinson; Rick M Maizels; Gustavo Salinas; Beatriz Alvarez; Cecilia Fernández
Journal:  PLoS One       Date:  2009-09-17       Impact factor: 3.240

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