Literature DB >> 24606962

Exploring the hidden honeybee (Apis mellifera) venom proteome by integrating a combinatorial peptide ligand library approach with FTMS.

Matthias Van Vaerenbergh1, Griet Debyser2, Bart Devreese2, Dirk C de Graaf3.   

Abstract

At present, 30 compounds have been described in the venom of the honeybee, and 16 of them were confirmed by mass spectrometry. Previous studies typically combined 2-D PAGE with MALDI-TOF/TOF MS, a technology which now appears to lack sensitivity to detect additional venom compounds. Here, we report an in-depth study of the honeybee venom proteome using a combinatorial peptide ligand library sample pretreatment to enrich for minor components followed by shotgun LC-FT-ICR MS analysis. This strategy revealed an unexpectedly rich venom composition: in total 102 proteins and peptides were found, with 83 of them never described in bee venom samples before. Based on their predicted function and subcellular location, the proteins could be divided into two groups. A group of 33 putative toxins is proposed to contribute to venom activity by exerting toxic functions or by playing a role in social immunity. The other group, considered as venom trace molecules, appears to be secreted for their functions in the extracellular space, or is unintentionally secreted by the venom gland cells due to insufficient protein recycling or co-secretion with other compounds. In conclusion, our approach allowed to explore the hidden honeybee venom proteome and extended the list of potential venom allergens. BIOLOGICAL SIGNIFICANCE: This study dug deeper into the complex honeybee venom proteome than ever before by applying a highly performing sample pretreatment and mass spectrometric technology. We present putative biological functions for all identified compounds, largely extending our knowledge of the venom toxicity. In addition, this study offers a long list of potential new venom allergens.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Combinatorial peptide ligand library; Honeybee; Hymenoptera; Mass spectrometry; Proteomics; Venom

Mesh:

Substances:

Year:  2014        PMID: 24606962     DOI: 10.1016/j.jprot.2013.04.039

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  23 in total

Review 1.  [Molecular-allergological aspects of allergen-specific immunotherapy].

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Review 2.  Component Resolved Diagnosis in Hymenoptera Anaphylaxis.

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Journal:  Curr Allergy Asthma Rep       Date:  2017-06       Impact factor: 4.806

3.  [Tricky cases in in-vitro diagnostics of hymenoptera venom allergy].

Authors:  S Müller; D Rafei-Shamsabadi; T Jakob
Journal:  Hautarzt       Date:  2014-09       Impact factor: 0.751

Review 4.  Why do we study animal toxins?

Authors:  Yun Zhang
Journal:  Dongwuxue Yanjiu       Date:  2015-07-18

5.  Factors driving the compositional diversity of Apis mellifera bee venom from a Corymbia calophylla (marri) ecosystem, Southwestern Australia.

Authors:  Daniela Scaccabarozzi; Kenneth Dods; Thao T Le; Joel P A Gummer; Michele Lussu; Lynne Milne; Tristan Campbell; Ben Pan Wafujian; Colin Priddis
Journal:  PLoS One       Date:  2021-06-30       Impact factor: 3.240

6.  Case Report: "Killer Bee" Swarm Attacks in French Guiana: The Importance of Prompt Care.

Authors:  Swann Geoffroy; Yann Lambert; Alexis Fremery; Christian Marty; Nathalie André
Journal:  Am J Trop Med Hyg       Date:  2021-07-07       Impact factor: 3.707

Review 7.  Facing Hymenoptera Venom Allergy: From Natural to Recombinant Allergens.

Authors:  Amilcar Perez-Riverol; Débora Lais Justo-Jacomini; Ricardo de Lima Zollner; Márcia Regina Brochetto-Braga
Journal:  Toxins (Basel)       Date:  2015-07-09       Impact factor: 4.546

Review 8.  Anaphylaxis to insect venom allergens: role of molecular diagnostics.

Authors:  Markus Ollert; Simon Blank
Journal:  Curr Allergy Asthma Rep       Date:  2015-05       Impact factor: 4.806

Review 9.  Hymenoptera allergens: from venom to "venome".

Authors:  Edzard Spillner; Simon Blank; Thilo Jakob
Journal:  Front Immunol       Date:  2014-02-28       Impact factor: 7.561

10.  Finding the missing honey bee genes: lessons learned from a genome upgrade.

Authors:  Christine G Elsik; Kim C Worley; Anna K Bennett; Martin Beye; Francisco Camara; Christopher P Childers; Dirk C de Graaf; Griet Debyser; Jixin Deng; Bart Devreese; Eran Elhaik; Jay D Evans; Leonard J Foster; Dan Graur; Roderic Guigo; Katharina Jasmin Hoff; Michael E Holder; Matthew E Hudson; Greg J Hunt; Huaiyang Jiang; Vandita Joshi; Radhika S Khetani; Peter Kosarev; Christie L Kovar; Jian Ma; Ryszard Maleszka; Robin F A Moritz; Monica C Munoz-Torres; Terence D Murphy; Donna M Muzny; Irene F Newsham; Justin T Reese; Hugh M Robertson; Gene E Robinson; Olav Rueppell; Victor Solovyev; Mario Stanke; Eckart Stolle; Jennifer M Tsuruda; Matthias Van Vaerenbergh; Robert M Waterhouse; Daniel B Weaver; Charles W Whitfield; Yuanqing Wu; Evgeny M Zdobnov; Lan Zhang; Dianhui Zhu; Richard A Gibbs
Journal:  BMC Genomics       Date:  2014-01-30       Impact factor: 3.969

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