Structural venomics reveals evolution of a complex venom by duplication and diversification of an ancient peptide-encoding gene.


Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
26 05 2020
Historique:
pubmed: 14 5 2020
medline: 25 8 2020
entrez: 14 5 2020
Statut: ppublish

Résumé

Spiders are one of the most successful venomous animals, with more than 48,000 described species. Most spider venoms are dominated by cysteine-rich peptides with a diverse range of pharmacological activities. Some spider venoms contain thousands of unique peptides, but little is known about the mechanisms used to generate such complex chemical arsenals. We used an integrated transcriptomic, proteomic, and structural biology approach to demonstrate that the lethal Australian funnel-web spider produces 33 superfamilies of venom peptides and proteins. Twenty-six of the 33 superfamilies are disulfide-rich peptides, and we show that 15 of these are knottins that contribute >90% of the venom proteome. NMR analyses revealed that most of these disulfide-rich peptides are structurally related and range in complexity from simple to highly elaborated knottin domains, as well as double-knot toxins, that likely evolved from a single ancestral toxin gene.

Identifiants

pubmed: 32398368
pii: 1914536117
doi: 10.1073/pnas.1914536117
pmc: PMC7260951
doi:

Substances chimiques

Arthropod Proteins 0
Disulfides 0
Peptides 0
Spider Venoms 0

Banques de données

PDB
['2N6N', '2N6R', '6BA3', '2N8K']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

11399-11408

Déclaration de conflit d'intérêts

Competing interest statement: C.D. is affiliated with Thermo Fisher Scientific.

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Auteurs

Sandy S Pineda (SS)

Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia; sandy.spineda@gmail.com glenn.king@imb.uq.edu.au.
Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW 2010, Australia.

Yanni K-Y Chin (YK)

Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia.
Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD 4072, Australia.

Eivind A B Undheim (EAB)

Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD 4072, Australia.
Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Centre for Ecological & Evolutionary Synthesis, Department of Biosciences, University of Oslo, 0316 Oslo, Norway.

Sebastian Senff (S)

Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia.

Mehdi Mobli (M)

Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD 4072, Australia.

Claire Dauly (C)

Thermo Fisher Scientific, 91941 Courtaboeuf Cedex, France.

Pierre Escoubas (P)

University of Nice Sophia Antipolis, 06000 Nice, France.

Graham M Nicholson (GM)

School of Life Sciences, University of Technology Sydney, Broadway, NSW 2007, Australia.

Quentin Kaas (Q)

Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia.

Shaodong Guo (S)

Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia.

Volker Herzig (V)

Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia.

John S Mattick (JS)

Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW 2010, Australia.

Glenn F King (GF)

Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia; sandy.spineda@gmail.com glenn.king@imb.uq.edu.au.

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Classifications MeSH