Profiling hymenopteran venom toxins: Protein families, structural landscape, biological activities, and pharmacological benefits.

AMP, antimicrobial peptide Aculeatoxin Allergens Antimicrobial peptides Hymenoptera ICK, inhibitor cystine knot MCD, mast cell degranulating peptide Neurotoxins PDB, Protein Data Bank Venomics pLDDT, predicted local distance difference test

Journal

Toxicon: X
ISSN: 2590-1710
Titre abrégé: Toxicon X
Pays: England
ID NLM: 101741983

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 02 01 2022
revised: 14 03 2022
accepted: 16 03 2022
entrez: 4 4 2022
pubmed: 5 4 2022
medline: 5 4 2022
Statut: epublish

Résumé

Hymenopterans are an untapped source of venom secretions. Their recent proteo-transcriptomic studies have revealed an extraordinary pool of toxins that participate in various biological processes, including pain, paralysis, allergic reactions, and antimicrobial activities. Comprehensive and clade-specific campaigns to collect hymenopteran venoms are therefore needed. We consider that data-driven bioprospecting may help prioritise sampling and alleviate associated costs. This work established the current protein landscape from hymenopteran venoms to evaluate possible sample bias by studying their origins, sequence diversity, known structures, and biological functions. We collected all 282 reported hymenopteran toxins (peptides and proteins) from the UniProt database that we clustered into 21 protein families from the three studied clades - wasps, bees, and ants. We identified 119 biological targets of hymenopteran toxins ranging from pathogen membranes to eukaryotic proteases, ion channels and protein receptors. Our systematic study further extended to hymenopteran toxins' therapeutic and biotechnological values, where we revealed promising applications in crop pests, human infections, autoimmune diseases, and neurodegenerative disorders.

Identifiants

pubmed: 35372826
doi: 10.1016/j.toxcx.2022.100119
pii: S2590-1710(22)00029-7
pmc: PMC8971319
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100119

Informations de copyright

© 2022 The Authors.

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Auteurs

Juan Carlos Guido-Patiño (JC)

Centro de Investigación y de Estudios Avanzados Del IPN (CINVESTAV), Unidad de Genómica Avanzada, Laboratorio Nacional de Genómica para La Biodiversidad (Langebio), Irapuato, Guanajuato, 36824, Mexico.

Fabien Plisson (F)

CONACYT, Centro de Investigación y de Estudios Avanzados Del IPN (CINVESTAV), Unidad de Genómica Avanzada, Laboratorio Nacional de Genómica para La Biodiversidad (Langebio), Irapuato, Guanajuato, 36824, Mexico.

Classifications MeSH